Designing Assessment for Autonomous Learning

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Hay, Marie; Mathers, Lucy

2012-01-01

This paper aims to disseminate and evaluate an autonomous learning framework developed through collaborative research with first- and second-year undergraduate students at De Montfort University. Central to the framework is the involvement of students in the assessment of their peers and themselves using dialogue about the assessment and feedback…

Autonomous Learning from a Social Cognitive Perspective

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Ponton, Michael K.; Rhea, Nancy E.

2006-01-01

The current perspective of autonomous learning defines it as the agentive exhibition of resourcefulness, initiative, and persistence in self-directed learning. As a form of human agency, it has been argued in the literature that this perspective should be consistent with Bandura's (1986) Social Cognitive Theory (SCT). The purpose of this article…

Developing Autonomous Learning in First Year University Students Using Perspectives from Positive Psychology

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Macaskill, Ann; Denovan, Andrew

2013-01-01

Autonomous learning is a commonly occurring learning outcome from university study, and it is argued that students require confidence in their own abilities to achieve this. Using approaches from positive psychology, this study aimed to develop confidence in first-year university students to facilitate autonomous learning. Psychological character…

Reinforcement Learning with Autonomous Small Unmanned Aerial Vehicles in Cluttered Environments

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Tran, Loc; Cross, Charles; Montague, Gilbert; Motter, Mark; Neilan, James; Qualls, Garry; Rothhaar, Paul; Trujillo, Anna; Allen, B. Danette

2015-01-01

We present ongoing work in the Autonomy Incubator at NASA Langley Research Center (LaRC) exploring the efficacy of a data set aggregation approach to reinforcement learning for small unmanned aerial vehicle (sUAV) flight in dense and cluttered environments with reactive obstacle avoidance. The goal is to learn an autonomous flight model using training experiences from a human piloting a sUAV around static obstacles. The training approach uses video data from a forward-facing camera that records the human pilot's flight. Various computer vision based features are extracted from the video relating to edge and gradient information. The recorded human-controlled inputs are used to train an autonomous control model that correlates the extracted feature vector to a yaw command. As part of the reinforcement learning approach, the autonomous control model is iteratively updated with feedback from a human agent who corrects undesired model output. This data driven approach to autonomous obstacle avoidance is explored for simulated forest environments furthering autonomous flight under the tree canopy research. This enables flight in previously inaccessible environments which are of interest to NASA researchers in Earth and Atmospheric sciences.

Self-Assessment Exercises in Continuum Mechanics with Autonomous Learning

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Marcé-Nogué, Jordi; Gil, LLuís; Pérez, Marco A.; Sánchez, Montserrat

2013-01-01

The main objective of this work is to generate a set of exercises to improve the autonomous learning in "Continuum Mechanics" through a virtual platform. Students will have to resolve four exercises autonomously related to the subject developed in class and they will post the solutions on the virtual platform within a deadline. Students…

Learning Networks: connecting people, organizations, autonomous agents and learning resources to establish the emergence of effective lifelong learning

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Koper, Rob; Sloep, Peter

2003-01-01

Koper, E.J.R., Sloep, P.B. (2002) Learning Networks connecting people, organizations, autonomous agents and learning resources to establish the emergence of effective lifelong learning. RTD Programma into Learning Technologies 2003-2008. More is different… Heerlen, Nederland: Open Universiteit

Visual technology for the autonomous learning of mathematics

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Helmut Linneweber‐Lammerskitten

2010-09-01

Full Text Available This paper describes a collaborative research and development project between the University of Applied Sciences Northwestern Switzerland and Rhodes University in South Africa. The project seeks to establish, disseminate and research the efficacy and use of short video clips designed specifically for the autonomous learning of mathematics. Specific to the South African context is our interest in capitalising on the ubiquity of cellphone technology and the autonomous affordances offered by mobile learning. This paper engages with a number of theoretical and pedagogical issues relating to the design, production and use of these video clips. Although the focus is specific to the contexts of South Africa and Switzerland, the discussion is of broad applicability.

Interweaving Autonomous Learning and Peer-tutoring in Coaching EFL Student-Teachers

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Aleida Ariza Ariza

2009-10-01

Full Text Available In this article we share the findings on the exploration of undergraduate efl (English as a Foreign Language student-teachers' professional preparation and autonomous practices. Participants were tutees who attended tutorial sessions with peers in higher semesters. In this context, tutoring was based on a model we designed. As the model was implemented, they collected information by means of multiple qualitative research instruments. Results indicate that tutees' learning process was strongly influenced by their personality and attitudes. Similarly, tutees expanded their views in regard to the English language, its learning, and their communicative competence. Finally, we pinpoint some considerations for others interested in adopting this pedagogical strategy.

The Interaction of Motivation, Self-Regulatory Strategies, and Autonomous Learning Behavior in Different Learner Groups

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Kormos, Judit; Csizér, Kata

2014-01-01

Autonomous learning and effective self-regulatory strategies are increasingly important in foreign language learning; without these, students might not be able to exploit learning opportunities outside language classrooms. This study investigated the influence of motivational factors and self-regulatory strategies on autonomous learning behavior.…

Promoting autonomous learning in English through the implementation of Content and Language Integrated Learning (CLIL in science and maths subjects

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Andriani Putu Fika

2018-01-01

Full Text Available Autonomous learning is a concept in which the learner has the ability to take charge of their own learning. It becomes a notable aspect that should be perceived by students. The aim of this research is for finding out the strategies used by grade two teachers in Bali Kiddy Primary School to promote autonomous learning in English through the implementation of Content and Language Integrated Learning in science and maths subjects. This study was designed in the form of descriptive qualitative study. The data were collected through observation, interview, and document study. The result of the study shows that there are some strategies of promoting autonomous learning in English through the implementation of CLIL in Science and Maths subjects. Those strategies are table of content training, questioning & presenting, journal writing, choosing activities, and using online activity. Those strategies can be adopted or even adapted as the way to promote autonomous learning in English subject.

The Relationship Between EFL Learners’ Resilience and Autonomous Learning

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Parinaz Kajabadi

2016-07-01

Full Text Available This study aimed to investigate relationship between resilience as a personality factor defined in positive psychology and autonomous learning as a newly developed subject in learning and teaching (EFL area. This research employed resilience scale by Connor and Davidson (2003 and learner autonomy questionnaire by Spratt, Humphreys and Chan (2002 to evaluate EFL learners’ resilience level and their autonomy. To meet the purpose of this study, about 150 male and female participants randomly selected among undergraduate students majoring English language translation. Collected data of two questionnaires were analyzed through Spearman’s correlation and regression. Findings of the correlation analysis revealed that there is a significant relationship between resilience and autonomy (ρ = .29, n = 156, p < .01. Also, results showed that resilience is a strong predictor for autonomous learning.

Scheduling lessons learned from the Autonomous Power System

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Ringer, Mark J.

1992-01-01

The Autonomous Power System (APS) project at NASA LeRC is designed to demonstrate the applications of integrated intelligent diagnosis, control, and scheduling techniques to space power distribution systems. The project consists of three elements: the Autonomous Power Expert System (APEX) for Fault Diagnosis, Isolation, and Recovery (FDIR); the Autonomous Intelligent Power Scheduler (AIPS) to efficiently assign activities start times and resources; and power hardware (Brassboard) to emulate a space-based power system. The AIPS scheduler was tested within the APS system. This scheduler is able to efficiently assign available power to the requesting activities and share this information with other software agents within the APS system in order to implement the generated schedule. The AIPS scheduler is also able to cooperatively recover from fault situations by rescheduling the affected loads on the Brassboard in conjunction with the APEX FDIR system. AIPS served as a learning tool and an initial scheduling testbed for the integration of FDIR and automated scheduling systems. Many lessons were learned from the AIPS scheduler and are now being integrated into a new scheduler called SCRAP (Scheduler for Continuous Resource Allocation and Planning). This paper will service three purposes: an overview of the AIPS implementation, lessons learned from the AIPS scheduler, and a brief section on how these lessons are being applied to the new SCRAP scheduler.

Learning Objects and Grasp Affordances through Autonomous Exploration

DEFF Research Database (Denmark)

Kraft, Dirk; Detry, Renaud; Pugeault, Nicolas

2009-01-01

We describe a system for autonomous learning of visual object representations and their grasp affordances on a robot-vision system. It segments objects by grasping and moving 3D scene features, and creates probabilistic visual representations for object detection, recognition and pose estimation...... image sequences as well as (3) a number of built-in behavioral modules on the one hand, and autonomous exploration on the other hand, the system is able to generate object and grasping knowledge through interaction with its environment....

The Effect of Chinese ESL Learners’ Beliefs on their Autonomous Learning

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Qunyan Zhong

2010-12-01

Full Text Available What beliefs do Chinese learners hold about language learning? What is the effect of these beliefs on their autonomous learning? These are the two questions that this study aims to address. I employed naturalistic inquiry (Lincoln & Guba, 1985 to investigate five Chinese ESL learners’ beliefs about language learning and their learning behaviour. A number of instruments (interviews, classroom observations and stimulated recall, learning logs were used to collect triangulated data over a 12-week period. Following standard procedures of qualitative data analysis, I identified five categories of learners’ beliefs. The results revealed that the beliefs that the learners held were context-specific, reflecting their learning experiences. Some of them were conducive to learning autonomy while others were not. The beliefs influenced the level of the learners’ autonomy. The study suggests that educators should take into account learners’ beliefs when promoting autonomous learning.

An Investigation of Undergraduate Students' Beliefs about Autonomous Language Learning

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Orawiwatnakul, Wiwat; Wichadee, Saovapa

2017-01-01

The concept of learner autonomy is now playing an important role in the language learning field. An emphasis is put on the new form of learning which enables learners to direct their own learning. This study aimed to examine how undergraduate students believed about autonomous language learning in a university setting and to find out whether some…

An Investigation of the Relationship between College Chinese EFL Students' Autonomous Learning Capacity and Motivation in Using Computer-Assisted Language Learning

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Pu, Minran

2009-01-01

The purpose of the study was to investigate the relationship between college EFL students' autonomous learning capacity and motivation in using web-based Computer-Assisted Language Learning (CALL) in China. This study included three questionnaires: the student background questionnaire, the questionnaire on student autonomous learning capacity, and…

Evolving autonomous learning in cognitive networks.

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Sheneman, Leigh; Hintze, Arend

2017-12-01

There are two common approaches for optimizing the performance of a machine: genetic algorithms and machine learning. A genetic algorithm is applied over many generations whereas machine learning works by applying feedback until the system meets a performance threshold. These methods have been previously combined, particularly in artificial neural networks using an external objective feedback mechanism. We adapt this approach to Markov Brains, which are evolvable networks of probabilistic and deterministic logic gates. Prior to this work MB could only adapt from one generation to the other, so we introduce feedback gates which augment their ability to learn during their lifetime. We show that Markov Brains can incorporate these feedback gates in such a way that they do not rely on an external objective feedback signal, but instead can generate internal feedback that is then used to learn. This results in a more biologically accurate model of the evolution of learning, which will enable us to study the interplay between evolution and learning and could be another step towards autonomously learning machines.

Effects of teacher autonomy support and students' autonomous motivation on learning in physical education.

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Shen, Bo; McCaughtry, Nate; Martin, Jeffrey; Fahlman, Mariane

2009-03-01

This study applied self-determination theory to investigate the effects of students' autonomous motivation and their perceptions of teacher autonomy support on need satisfaction adjustment, learning achievement, and cardiorespiratory fitness over a 4-month personal conditioning unit. Participants were 253 urban adolescents (121 girls and 132 boys, ages = 12-14 years). Based on a series of multiple regression analyses, perceived autonomy support by teachers significantly predicted students'need satisfaction adjustment and led to learning achievement, especially for students who were not autonomously motivated to learn in physical education. In turn, being more autonomous was directly associated with cardiorespiratory fitness enhancement. The findings suggest that shifts in teaching approaches toward providing more support for students' autonomy and active involvement hold promise for enhancing learning.

Student Attitudes toward Learning Analytics in Higher Education: "The Fitbit Version of the Learning World".

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Roberts, Lynne D; Howell, Joel A; Seaman, Kristen; Gibson, David C

2016-01-01

Increasingly, higher education institutions are exploring the potential of learning analytics to predict student retention, understand learning behaviors, and improve student learning through providing personalized feedback and support. The technical development of learning analytics has outpaced consideration of ethical issues surrounding their use. Of particular concern is the absence of the student voice in decision-making about learning analytics. We explored higher education students' knowledge, attitudes, and concerns about big data and learning analytics through four focus groups ( N = 41). Thematic analysis of the focus group transcripts identified six key themes. The first theme, "Uninformed and Uncertain," represents students' lack of knowledge about learning analytics prior to the focus groups. Following the provision of information, viewing of videos and discussion of learning analytics scenarios three further themes; "Help or Hindrance to Learning," "More than a Number," and "Impeding Independence"; represented students' perceptions of the likely impact of learning analytics on their learning. "Driving Inequality" and "Where Will it Stop?" represent ethical concerns raised by the students about the potential for inequity, bias and invasion of privacy and the need for informed consent. A key tension to emerge was how "personal" vs. "collective" purposes or principles can intersect with "uniform" vs. "autonomous" activity. The findings highlight the need the need to engage students in the decision making process about learning analytics.

Active Learning for Autonomous Intelligent Agents: Exploration, Curiosity, and Interaction

OpenAIRE

Lopes, Manuel; Montesano, Luis

2014-01-01

In this survey we present different approaches that allow an intelligent agent to explore autonomous its environment to gather information and learn multiple tasks. Different communities proposed different solutions, that are in many cases, similar and/or complementary. These solutions include active learning, exploration/exploitation, online-learning and social learning. The common aspect of all these approaches is that it is the agent to selects and decides what information to gather next. ...

Female Arab EFL Students Learning Autonomously beyond the Language Classroom

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Kocatepe, Mehtap

2017-01-01

Benson's (2011a; 2011b) identification of out-of-class learning as constituted by contexts, resources, levels of formality and more and less intentional pedagogic outcomes was used as a framework to investigate a group of tertiary level female Emirati EFL students' autonomous out-of-class learning experiences. Data collected via a survey, learner…

Autonomous learning by simple dynamical systems with a discrete-time formulation

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Bilen, Agustín M.; Kaluza, Pablo

2017-05-01

We present a discrete-time formulation for the autonomous learning conjecture. The main feature of this formulation is the possibility to apply the autonomous learning scheme to systems in which the errors with respect to target functions are not well-defined for all times. This restriction for the evaluation of functionality is a typical feature in systems that need a finite time interval to process a unit piece of information. We illustrate its application on an artificial neural network with feed-forward architecture for classification and a phase oscillator system with synchronization properties. The main characteristics of the discrete-time formulation are shown by constructing these systems with predefined functions.

Learning Sequences of Actions in Collectives of Autonomous Agents

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Turner, Kagan; Agogino, Adrian K.; Wolpert, David H.; Clancy, Daniel (Technical Monitor)

2001-01-01

In this paper we focus on the problem of designing a collective of autonomous agents that individually learn sequences of actions such that the resultant sequence of joint actions achieves a predetermined global objective. We are particularly interested in instances of this problem where centralized control is either impossible or impractical. For single agent systems in similar domains, machine learning methods (e.g., reinforcement learners) have been successfully used. However, applying such solutions directly to multi-agent systems often proves problematic, as agents may work at cross-purposes, or have difficulty in evaluating their contribution to achievement of the global objective, or both. Accordingly, the crucial design step in multiagent systems centers on determining the private objectives of each agent so that as the agents strive for those objectives, the system reaches a good global solution. In this work we consider a version of this problem involving multiple autonomous agents in a grid world. We use concepts from collective intelligence to design goals for the agents that are 'aligned' with the global goal, and are 'learnable' in that agents can readily see how their behavior affects their utility. We show that reinforcement learning agents using those goals outperform both 'natural' extensions of single agent algorithms and global reinforcement, learning solutions based on 'team games'.

Autonomous Learning through Task-Based Instruction in Fully Online Language Courses

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Lee, Lina

2016-01-01

This study investigated the affordances for autonomous learning in a fully online learning environment involving the implementation of task-based instruction in conjunction with Web 2.0 technologies. To that end, four-skill-integrated tasks and digital tools were incorporated into the coursework. Data were collected using midterm reflections,…

The Continuity of College Students' Autonomous Learning Motivation and Its Predictors: A Three-Year Longitudinal Study

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Pan, Yingqiu; Gauvain, Mary

2012-01-01

This study examined change in Chinese students' autonomous learning motivation in the first three years of college and how this change is accounted for by intra- and inter-individual variables. The sample included 633 (328 female) college freshmen. Results showed that students' autonomous learning motivation decreased over years in college.…

A Survey Study of Autonomous Learning by Chinese Non-English Major Post-Graduates

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Xu, Jianping

2009-01-01

This thesis reports a survey study of the autonomous L2 learning by 100 first-year non-English-major Chinese post-graduates via the instruments of a questionnaire and semi-structured interview after the questionnaire. It attends to address the following research question: To what extent do Chinese postgraduate students conduct autonomous L2…

Autonomous learning in humanoid robotics through mental imagery.

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Di Nuovo, Alessandro G; Marocco, Davide; Di Nuovo, Santo; Cangelosi, Angelo

2013-05-01

In this paper we focus on modeling autonomous learning to improve performance of a humanoid robot through a modular artificial neural networks architecture. A model of a neural controller is presented, which allows a humanoid robot iCub to autonomously improve its sensorimotor skills. This is achieved by endowing the neural controller with a secondary neural system that, by exploiting the sensorimotor skills already acquired by the robot, is able to generate additional imaginary examples that can be used by the controller itself to improve the performance through a simulated mental training. Results and analysis presented in the paper provide evidence of the viability of the approach proposed and help to clarify the rational behind the chosen model and its implementation. Copyright © 2012 Elsevier Ltd. All rights reserved.

Autonomous physics-based color learning under daylight

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Berube Lauziere, Yves; Gingras, Denis J.; Ferrie, Frank P.

1999-09-01

An autonomous approach for learning the colors of specific objects assumed to have known body spectral reflectances is developed for daylight illumination conditions. The main issue is to be able to find these objects autonomously in a set of training images captured under a wide variety of daylight illumination conditions, and to extract their colors to determine color space regions that are representative of the objects' colors and their variations. The work begins by modeling color formation under daylight using the color formation equations and the semi-empirical model of Judd, MacAdam and Wyszecki (CIE daylight model) for representing the typical spectral distributions of daylight. This results in color space regions that serve as prior information in the initial phase of learning which consists in detecting small reliable clusters of pixels having the appropriate colors. These clusters are then expanded by a region growing technique using broader color space regions than those predicted by the model. This is to detect objects in a way that is able to account for color variations which the model cannot due to its limitations. Validation on the detected objects is performed to filter out those that are not of interest and to eliminate unreliable pixel color values extracted from the remaining ones. Detection results using the color space regions determined from color values obtained by this procedure are discussed.

The Impact of Online Autonomous Learning on EFL Students' Reading Skills

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Shang, Hui-Fang; Chen, Yen-Yu

2018-01-01

With the rapid growth of technology, many language acquisition approaches have been added to computer-assisted language learning applications. Thus, this study investigated the impact of online autonomous learning on English as a Foreign Language (EFL) students' reading ability. Sixty-five students from two reading classes at One University in…

A strategy learning model for autonomous agents based on classification

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Śnieżyński Bartłomiej

2015-09-01

Full Text Available In this paper we propose a strategy learning model for autonomous agents based on classification. In the literature, the most commonly used learning method in agent-based systems is reinforcement learning. In our opinion, classification can be considered a good alternative. This type of supervised learning can be used to generate a classifier that allows the agent to choose an appropriate action for execution. Experimental results show that this model can be successfully applied for strategy generation even if rewards are delayed. We compare the efficiency of the proposed model and reinforcement learning using the farmer-pest domain and configurations of various complexity. In complex environments, supervised learning can improve the performance of agents much faster that reinforcement learning. If an appropriate knowledge representation is used, the learned knowledge may be analyzed by humans, which allows tracking the learning process

An Educational Board Game to Assist PharmD Students in Learning Autonomic Nervous System Pharmacology.

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Jones, J Shawn; Tincher, Lindsay; Odeng-Otu, Emmanuel; Herdman, Michelle

2015-10-25

Objective. To examine whether playing a board game can assist PharmD students in learning autonomic nervous system (ANS) pharmacology. Design. Of 72 students enrolled in a required second-year pharmacology course, 22 students volunteered to play the board game, which was followed by an in-class examination consisting of 42 ANS questions (ANSQs) and 8 control questions (CTLQs). Participants were given a pretest and a posttest to assess immediate educational improvement. Participants' scores for pretest, posttest, in-class examination, and ANSQs were compared. Also, scores for examination, ANSQs, and CTLQs were compared between board game participants (PART) and nonparticipating classmates (NPART). Assessment. Board game participants scored progressively higher between the pretest, posttest, examination, and ANSQs. Additionally, PART scores were higher than NPART scores for examination and ANSQs. Difference between PART and NPART CTLQ scores was not significant. Conclusion. A board game can assist PharmD students in learning ANS pharmacology.

Autonomous Language Learning in Africa: A Mismatch of Cultural Assumptions.

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Sonaiya, Remi

2002-01-01

Questions the global validity of the autonomous method of language learning, which has origins in the European and North American traditions of individualism. Raises the question of appropriateness of the cultural content of educational materials that are alleged to be suitable for global dissemination, with special reference to the Yoruba world…

How to Develop College Students' Autonomous English Learning Skills--Take Reading Course in Joint-Program in HCFT as an Example

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Wang, Jihui

2010-01-01

The studies on autonomous learning based on the theories of constructivism and the advantages of technology propose valuable ideas for modern teaching theories and practices. In this paper, we put forward ways and methods in developing learner awareness, learning strategies and habits of autonomous learning in Henan College of Finance and Taxation…

Learning for autonomous navigation : extrapolating from underfoot to the far field

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Matthies, Larry; Turmon, Michael; Howard, Andrew; Angelova, Anelia; Tang, Benyang; Mjolsness, Eric

2005-01-01

Autonomous off-road navigation of robotic ground vehicles has important applications on Earth and in space exploration. Progress in this domain has been retarded by the limited lookahead range of 3-D sensors and by the difficulty of preprogramming systems to understand the traversability of the wide variety of terrain they can encounter. Enabling robots to learn from experience may alleviate both of these problems. We define two paradigms for this, learning from 3-D geometry and learning from proprioception, and describe initial instantiations of them we have developed under DARPA and NASA programs. Field test results show promise for learning traversability of vegetated terrain, learning to extend the lookahead range of the vision system, and learning how slip varies with slope.

Autonomous learning derived from experimental modeling of physical laws.

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Grabec, Igor

2013-05-01

This article deals with experimental description of physical laws by probability density function of measured data. The Gaussian mixture model specified by representative data and related probabilities is utilized for this purpose. The information cost function of the model is described in terms of information entropy by the sum of the estimation error and redundancy. A new method is proposed for searching the minimum of the cost function. The number of the resulting prototype data depends on the accuracy of measurement. Their adaptation resembles a self-organized, highly non-linear cooperation between neurons in an artificial NN. A prototype datum corresponds to the memorized content, while the related probability corresponds to the excitability of the neuron. The method does not include any free parameters except objectively determined accuracy of the measurement system and is therefore convenient for autonomous execution. Since representative data are generally less numerous than the measured ones, the method is applicable for a rather general and objective compression of overwhelming experimental data in automatic data-acquisition systems. Such compression is demonstrated on analytically determined random noise and measured traffic flow data. The flow over a day is described by a vector of 24 components. The set of 365 vectors measured over one year is compressed by autonomous learning to just 4 representative vectors and related probabilities. These vectors represent the flow in normal working days and weekends or holidays, while the related probabilities correspond to relative frequencies of these days. This example reveals that autonomous learning yields a new basis for interpretation of representative data and the optimal model structure. Copyright © 2012 Elsevier Ltd. All rights reserved.

An Autonomous Mobile Agent-Based Distributed Learning Architecture-A Proposal and Analytical Analysis

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I. Ahmed M. J. SADIIG

2005-10-01

Full Text Available An Autonomous Mobile Agent-Based Distributed Learning Architecture-A Proposal and Analytical Analysis Dr. I. Ahmed M. J. SADIIG Department of Electrical & Computer EngineeringInternational Islamic University GombakKuala Lumpur-MALAYSIA ABSTRACT The traditional learning paradigm invoving face-to-face interaction with students is shifting to highly data-intensive electronic learning with the advances in Information and Communication Technology. An important component of the e-learning process is the delivery of the learning contents to their intended audience over a network. A distributed learning system is dependent on the network for the efficient delivery of its contents to the user. However, as the demand of information provision and utilization increases on the Internet, the current information service provision and utilization methods are becoming increasingly inefficient. Although new technologies have been employed for efficient learning methodologies within the context of an e-learning environment, the overall efficiency of the learning system is dependent on the mode of distribution and utilization of its learning contents. It is therefore imperative to employ new techniques to meet the service demands of current and future e-learning systems. In this paper, an architecture based on autonomous mobile agents creating a Faded Information Field is proposed. Unlike the centralized information distribution in a conventional e-learning system, the information is decentralized in the proposed architecture resulting in increased efficiency of the overall system for distribution and utilization of system learning contents efficiently and fairly. This architecture holds the potential to address the heterogeneous user requirements as well as the changing conditions of the underlying network.

Public Libraries as Places for Empowering Women through Autonomous Learning Activities

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Yoshida, Yuko

2013-01-01

Introduction. The purpose of this research is to investigate the significance of public libraries as educational institutions. The meaning of lifelong learning in public libraries from the perspective of women's autonomous activities is re-examined. Method. The literature of the grassroots library movement and that of the empowerment of women is…

Chinese Students' Goal Orientation in English Learning: A Study Based on Autonomous Inquiry Model

Science.gov (United States)

Zhang, Jianfeng

2014-01-01

Goal orientation is a kind of theory of learning motivation, which helps learners to develop their capability by emphasis on new techniques acquiring and environment adapting. In this study, based on the autonomous inquiry model, the construction of Chinese students' goal orientations in English learning are summarized according to the data…

Autonomous learning of robust visual object detection and identification on a humanoid

NARCIS (Netherlands)

Leitner, J.; Chandrashekhariah, P.; Harding, S.; Frank, M.; Spina, G.; Förster, A.; Triesch, J.; Schmidhuber, J.

2012-01-01

In this work we introduce a technique for a humanoid robot to autonomously learn the representations of objects within its visual environment. Our approach involves an attention mechanism in association with feature based segmentation that explores the environment and provides object samples for

A learning-based autonomous driver: emulate human driver's intelligence in low-speed car following

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Wei, Junqing; Dolan, John M.; Litkouhi, Bakhtiar

2010-04-01

In this paper, an offline learning mechanism based on the genetic algorithm is proposed for autonomous vehicles to emulate human driver behaviors. The autonomous driving ability is implemented based on a Prediction- and Cost function-Based algorithm (PCB). PCB is designed to emulate a human driver's decision process, which is modeled as traffic scenario prediction and evaluation. This paper focuses on using a learning algorithm to optimize PCB with very limited training data, so that PCB can have the ability to predict and evaluate traffic scenarios similarly to human drivers. 80 seconds of human driving data was collected in low-speed (car-following scenarios. In the low-speed car-following tests, PCB was able to perform more human-like carfollowing after learning. A more general 120 kilometer-long simulation showed that PCB performs robustly even in scenarios that are not part of the training set.

Towards autonomous neuroprosthetic control using Hebbian reinforcement learning.

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Mahmoudi, Babak; Pohlmeyer, Eric A; Prins, Noeline W; Geng, Shijia; Sanchez, Justin C

2013-12-01

Our goal was to design an adaptive neuroprosthetic controller that could learn the mapping from neural states to prosthetic actions and automatically adjust adaptation using only a binary evaluative feedback as a measure of desirability/undesirability of performance. Hebbian reinforcement learning (HRL) in a connectionist network was used for the design of the adaptive controller. The method combines the efficiency of supervised learning with the generality of reinforcement learning. The convergence properties of this approach were studied using both closed-loop control simulations and open-loop simulations that used primate neural data from robot-assisted reaching tasks. The HRL controller was able to perform classification and regression tasks using its episodic and sequential learning modes, respectively. In our experiments, the HRL controller quickly achieved convergence to an effective control policy, followed by robust performance. The controller also automatically stopped adapting the parameters after converging to a satisfactory control policy. Additionally, when the input neural vector was reorganized, the controller resumed adaptation to maintain performance. By estimating an evaluative feedback directly from the user, the HRL control algorithm may provide an efficient method for autonomous adaptation of neuroprosthetic systems. This method may enable the user to teach the controller the desired behavior using only a simple feedback signal.

Toward Self-Referential Autonomous Learning of Object and Situation Models.

Science.gov (United States)

Damerow, Florian; Knoblauch, Andreas; Körner, Ursula; Eggert, Julian; Körner, Edgar

2016-01-01

Most current approaches to scene understanding lack the capability to adapt object and situation models to behavioral needs not anticipated by the human system designer. Here, we give a detailed description of a system architecture for self-referential autonomous learning which enables the refinement of object and situation models during operation in order to optimize behavior. This includes structural learning of hierarchical models for situations and behaviors that is triggered by a mismatch between expected and actual action outcome. Besides proposing architectural concepts, we also describe a first implementation of our system within a simulated traffic scenario to demonstrate the feasibility of our approach.

Temporal Memory Reinforcement Learning for the Autonomous Micro-mobile Robot Based-behavior

Institute of Scientific and Technical Information of China (English)

Yang Yujun(杨玉君); Cheng Junshi; Chen Jiapin; Li Xiaohai

2004-01-01

This paper presents temporal memory reinforcement learning for the autonomous micro-mobile robot based-behavior. Human being has a memory oblivion process, i.e. the earlier to memorize, the earlier to forget, only the repeated thing can be remembered firmly. Enlightening forms this, and the robot need not memorize all the past states, at the same time economizes the EMS memory space, which is not enough in the MPU of our AMRobot. The proposed algorithm is an extension of the Q-learning, which is an incremental reinforcement learning method. The results of simulation have shown that the algorithm is valid.

Structured Kernel Subspace Learning for Autonomous Robot Navigation.

Science.gov (United States)

Kim, Eunwoo; Choi, Sungjoon; Oh, Songhwai

2018-02-14

This paper considers two important problems for autonomous robot navigation in a dynamic environment, where the goal is to predict pedestrian motion and control a robot with the prediction for safe navigation. While there are several methods for predicting the motion of a pedestrian and controlling a robot to avoid incoming pedestrians, it is still difficult to safely navigate in a dynamic environment due to challenges, such as the varying quality and complexity of training data with unwanted noises. This paper addresses these challenges simultaneously by proposing a robust kernel subspace learning algorithm based on the recent advances in nuclear-norm and l 1 -norm minimization. We model the motion of a pedestrian and the robot controller using Gaussian processes. The proposed method efficiently approximates a kernel matrix used in Gaussian process regression by learning low-rank structured matrix (with symmetric positive semi-definiteness) to find an orthogonal basis, which eliminates the effects of erroneous and inconsistent data. Based on structured kernel subspace learning, we propose a robust motion model and motion controller for safe navigation in dynamic environments. We evaluate the proposed robust kernel learning in various tasks, including regression, motion prediction, and motion control problems, and demonstrate that the proposed learning-based systems are robust against outliers and outperform existing regression and navigation methods.

The effects of different learning environments on students' motivation for learning and their achievement.

Science.gov (United States)

Baeten, Marlies; Dochy, Filip; Struyven, Katrien

2013-09-01

Research in higher education on the effects of student-centred versus lecture-based learning environments generally does not take into account the psychological need support provided in these learning environments. From a self-determination theory perspective, need support is important to study because it has been associated with benefits such as autonomous motivation and achievement. The purpose of the study is to investigate the effects of different learning environments on students' motivation for learning and achievement, while taking into account the perceived need support. First-year student teachers (N= 1,098) studying a child development course completed questionnaires assessing motivation and perceived need support. In addition, a prior knowledge test and case-based assessment were administered. A quasi-experimental pre-test/post-test design was set up consisting of four learning environments: (1) lectures, (2) case-based learning (CBL), (3) alternation of lectures and CBL, and (4) gradual implementation with lectures making way for CBL. Autonomous motivation and achievement were higher in the gradually implemented CBL environment, compared to the CBL environment. Concerning achievement, two additional effects were found; students in the lecture-based learning environment scored higher than students in the CBL environment, and students in the gradually implemented CBL environment scored higher than students in the alternated learning environment. Additionally, perceived need support was positively related to autonomous motivation, and negatively to controlled motivation. The study shows the importance of gradually introducing students to CBL, in terms of their autonomous motivation and achievement. Moreover, the study emphasizes the importance of perceived need support for students' motivation. © 2012 The British Psychological Society.

A learning-based semi-autonomous controller for robotic exploration of unknown disaster scenes while searching for victims.

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Doroodgar, Barzin; Liu, Yugang; Nejat, Goldie

2014-12-01

Semi-autonomous control schemes can address the limitations of both teleoperation and fully autonomous robotic control of rescue robots in disaster environments by allowing a human operator to cooperate and share such tasks with a rescue robot as navigation, exploration, and victim identification. In this paper, we present a unique hierarchical reinforcement learning-based semi-autonomous control architecture for rescue robots operating in cluttered and unknown urban search and rescue (USAR) environments. The aim of the controller is to enable a rescue robot to continuously learn from its own experiences in an environment in order to improve its overall performance in exploration of unknown disaster scenes. A direction-based exploration technique is integrated in the controller to expand the search area of the robot via the classification of regions and the rubble piles within these regions. Both simulations and physical experiments in USAR-like environments verify the robustness of the proposed HRL-based semi-autonomous controller to unknown cluttered scenes with different sizes and varying types of configurations.

Manifold traversing as a model for learning control of autonomous robots

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Szakaly, Zoltan F.; Schenker, Paul S.

1992-01-01

This paper describes a recipe for the construction of control systems that support complex machines such as multi-limbed/multi-fingered robots. The robot has to execute a task under varying environmental conditions and it has to react reasonably when previously unknown conditions are encountered. Its behavior should be learned and/or trained as opposed to being programmed. The paper describes one possible method for organizing the data that the robot has learned by various means. This framework can accept useful operator input even if it does not fully specify what to do, and can combine knowledge from autonomous, operator assisted and programmed experiences.

Implementing Reflective Portfolios for Promoting Autonomous Learning among EFL College Students in Taiwan

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Lo, Ya-Fen

2010-01-01

This article depicts challenges for students and teachers involved in developing a reflective portfolio to promote autonomous learning in Taiwan. One hundred and one students in a Taiwan university completed their individual portfolio projects. A pre-course questionnaire, post-course self-evaluation, and the instructor's field notes were the data…

A Study on a Group of Indian English as a Second Language Learners' Perceptions of Autonomous Learning

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Yildirim, Ozgur

2012-01-01

Learner autonomy has been one of the most popular terms in the language learning field lately. Researchers have been conducting studies to see different aspects of learner autonomy and to bring different suggestions to teachers to promote autonomous learning in their classrooms. Students of a particular cultural background would not show the same…

University Student and Teacher Perceptions of Teacher Roles in Promoting Autonomous Language Learning with Technology outside the Classroom

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Lai, Chun; Yeung, Yuk; Hu, Jingjing

2016-01-01

Helping students to become autonomous learners, who actively utilize technologies for learning outside the classroom, is important for successful language learning. Teachers, as significant social agents who shape students' intellectual and social experiences, have a critical role to play. This study examined students' and teachers' perceptions of…

A Framework for Mobile Learning for Enhancing Learning in Higher Education

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Barreh, Kadar Abdillahi; Abas, Zoraini Wati

2015-01-01

As mobile learning becomes increasingly pervasive, many higher education institutions have initiated a number of mobile learning initiatives to support their traditional learning modes. This study proposes a framework for mobile learning for enhancing learning in higher education. This framework for mobile learning is based on research conducted…

Formation Learning Control of Multiple Autonomous Underwater Vehicles With Heterogeneous Nonlinear Uncertain Dynamics.

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Yuan, Chengzhi; Licht, Stephen; He, Haibo

2017-09-26

In this paper, a new concept of formation learning control is introduced to the field of formation control of multiple autonomous underwater vehicles (AUVs), which specifies a joint objective of distributed formation tracking control and learning/identification of nonlinear uncertain AUV dynamics. A novel two-layer distributed formation learning control scheme is proposed, which consists of an upper-layer distributed adaptive observer and a lower-layer decentralized deterministic learning controller. This new formation learning control scheme advances existing techniques in three important ways: 1) the multi-AUV system under consideration has heterogeneous nonlinear uncertain dynamics; 2) the formation learning control protocol can be designed and implemented by each local AUV agent in a fully distributed fashion without using any global information; and 3) in addition to the formation control performance, the distributed control protocol is also capable of accurately identifying the AUVs' heterogeneous nonlinear uncertain dynamics and utilizing experiences to improve formation control performance. Extensive simulations have been conducted to demonstrate the effectiveness of the proposed results.

Blended Learning: enabling Higher Education Reform

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Kathleen Matheos

2018-01-01

Full Text Available Blended learning research and practice have been areas of growth for two decades in Canada, with over 95% of Canadian higher education institutions involved in some form of blended learning. Despite strong evidence based research and practice blended learning, for the most part, has remained at sidelined in Canadian universities. The article argues the need for blended learning to situate itself within the timely and crucial Higher Education Reform (HER agenda. By aligning the affordances of blended learning with the components of HER, blended learning can clearly serve as an enabler for HER.

Portfolio as a Means of Promoting Autonomous Learning in Teacher Education: A Quasi-Experimental Study

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Meeus, Wil; Van Petegem, Peter; Meijer, Joost

2008-01-01

Background: The predominant dissertation model used in teacher education courses in Flanders is the "literature study with practical processing". Despite the practical supplement, this traditional model does not fit sufficiently well with autonomous learning as the objective of modern teacher education dissertations. This study reports on the…

Students’ Motivation for Learning in Virtual Learning Environments

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Andrea Carvalho Beluce

2015-04-01

Full Text Available The specific characteristics of online education require of the student engagement and autonomy, factors which are related to motivation for learning. This study investigated students’ motivation in virtual learning environments (VLEs. For this, it used the Teaching and Learning Strategy and Motivation to Learn Scale in Virtual Learning Environments (TLSM-VLE. The scale presented 32 items and six dimensions, three of which aimed to measure the variables of autonomous motivation, controlled motivation, and demotivation. The participants were 572 students from the Brazilian state of Paraná, enrolled on higher education courses on a continuous education course. The results revealed significant rates for autonomous motivational behavior. It is considered that the results obtained may provide contributions for the educators and psychologists who work with VLEs, leading to further studies of the area providing information referent to the issue investigated in this study.

Does peer learning or higher levels of e-learning improve learning abilities?

DEFF Research Database (Denmark)

Worm, Bjarne Skjødt; Jensen, Kenneth

2013-01-01

The fast development of e-learning and social forums demands us to update our understanding of e-learning and peer learning. We aimed to investigate if higher, pre-defined levels of e-learning or social interaction in web forums improved students' learning ability....

Tourism websites in English as a source for the autonomous learning of specialized terminology: A CALL application

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Ángel Felices Lago

2016-04-01

Full Text Available For years now, it has been an unquestioned fact that a large majority of textbooks available in English for Tourism, either in book format, CD-Rom or web site access are based on situations and professional contexts connected with the Anglo-Saxon environment, even though the vast majority of graduates in Tourism in Spain (and other countries end up working in the region (autonomous community of origin or in the province of reference for studies. There is, therefore, a clear dysfunction between the textbooks available in the market and the materials and situations that the students will face in their professional future. However, the Internet now allows us to exploit the availability of vast quantities of local resources (websites, blogs, etc. with their corresponding versions in English, which include tourist information referring to, for example, hotels, restaurants, historical and artistic heritage sites, tour operators, travel agencies, trade fairs or specialized services at the national, regional or communal levels. All these sites offer a special showcase of all the linguistic resources available (be they lexical, syntactic or terminological that the learners must acquire for their professional development. Consequently, the purpose of this study is to offer the results of the computer-assisted language learning (CALL project entitled Autonomous Learning of Specialized Vocabulary in English for Tourism (http://wdb.ugr.es/~afelices/, which takes into consideration the previous premises in order to promote, as its title indicates, autonomous learning in a more realistic professional context and to serve as a model for the development of similar e-learning platforms in other regions or countries.

The ESP Instruction: A Study Based on the Pattern of Autonomous Inquiry

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Zhang, Jianfeng

2013-01-01

Autonomous inquiry learning is a kind of learning model, which relies mainly on learners and emphasizes that learners should inquire knowledge actively; moreover, ESP, which emphasizes the combination of language learning and specific purposes learning, is a goal-oriented and well targeted instruction system. Therefore, ESP and autonomous inquiry…

E-I balance emerges naturally from continuous Hebbian learning in autonomous neural networks.

Science.gov (United States)

Trapp, Philip; Echeveste, Rodrigo; Gros, Claudius

2018-06-12

Spontaneous brain activity is characterized in part by a balanced asynchronous chaotic state. Cortical recordings show that excitatory (E) and inhibitory (I) drivings in the E-I balanced state are substantially larger than the overall input. We show that such a state arises naturally in fully adapting networks which are deterministic, autonomously active and not subject to stochastic external or internal drivings. Temporary imbalances between excitatory and inhibitory inputs lead to large but short-lived activity bursts that stabilize irregular dynamics. We simulate autonomous networks of rate-encoding neurons for which all synaptic weights are plastic and subject to a Hebbian plasticity rule, the flux rule, that can be derived from the stationarity principle of statistical learning. Moreover, the average firing rate is regulated individually via a standard homeostatic adaption of the bias of each neuron's input-output non-linear function. Additionally, networks with and without short-term plasticity are considered. E-I balance may arise only when the mean excitatory and inhibitory weights are themselves balanced, modulo the overall activity level. We show that synaptic weight balance, which has been considered hitherto as given, naturally arises in autonomous neural networks when the here considered self-limiting Hebbian synaptic plasticity rule is continuously active.

A Collaborative Knowledge Plane for Autonomic Networks

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Mbaye, Maïssa; Krief, Francine

Autonomic networking aims to give network components self-managing capabilities. Several autonomic architectures have been proposed. Each of these architectures includes sort of a knowledge plane which is very important to mimic an autonomic behavior. Knowledge plane has a central role for self-functions by providing suitable knowledge to equipment and needs to learn new strategies for more accuracy.However, defining knowledge plane's architecture is still a challenge for researchers. Specially, defining the way cognitive supports interact each other in knowledge plane and implementing them. Decision making process depends on these interactions between reasoning and learning parts of knowledge plane. In this paper we propose a knowledge plane's architecture based on machine learning (inductive logic programming) paradigm and situated view to deal with distributed environment. This architecture is focused on two self-functions that include all other self-functions: self-adaptation and self-organization. Study cases are given and implemented.

What kind of motivation drives medical students' learning quests?

Science.gov (United States)

Sobral, Dejano T

2004-09-01

To describe the patterns of medical students' motivation early in the undergraduate programme and to examine their relationships with learning features and motivational outcomes. The Academic Motivation Scale (AMS) was administered after the first medical year to 297 students of both sexes from consecutive classes within a 4-year timeframe. Measures of learner orientation and reflection in learning were also obtained. Academic achievement and peer tutoring experience were recorded during a 2-year follow-up. Quantitative approaches included analysis of variance, correlational and classificatory analyses of the data. The profile of the students' responses revealed higher levels of autonomous motivation than of controlled motivation although such measures were positively related. Correlation analysis showed significant association of autonomous motivation with higher levels of meaning orientation, reflection in learning, academic achievement, cross-year peer-tutoring experience, and intention to continue with studies. Classificatory analysis identified 4 student groups with distinct patterns of motivation. Analysis of variance revealed significant and consistent differences in learning features and outcomes among such groups. The findings indicate that medical students portray distinct patterns of autonomous and controlled motivation that seem to relate to the learners' frame of mind towards learning as well as the educational environment. Autonomous motivation had closer relationships than controlled motivation with measures of self-regulation of learning and academic success in the context of a demanding medical programme.

Autonomes und interkulturelles Lernen im Fremdsprachenunterricht – unvereinbar oder untrennbar?

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Klaus-Börge Boeckmann

2015-10-01

The discussion on learner autonomy has intensified considerably in the last two decades, but autonomous learning in the intercultural field has remained a fairly marginal topic. This paper examines  the compatibility of intercultural and autonomous learning and starts by presenting two approaches that come to contradicting conclusions. The hypothesis that both learning fields are compatible, or indeed inseparable, appears better founded and more popular, however. Considering the broad scope of the discussion, the paper continues by focussing on learner-centredness as an important element of autonomy. The rationale for and advantages of learner-centred concepts of teaching and learning are discussed. In reflecting on the application of learner-centred concepts in the field of intercultural competence the emphasis is laid on attitudes as an area of competence. Some examples show how autonomous and intercultural learning can be interlaced in project-type learning tasks.

Differential use of learning strategies in first-year higher education: the impact of personality, academic motivation, and teaching strategies.

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Donche, Vincent; De Maeyer, Sven; Coertjens, Liesje; Van Daal, Tine; Van Petegem, Peter

2013-06-01

Although the evidence in support of the variability of students' learning strategies has expanded in recent years, less is known about the explanatory base of these individual differences in terms of the joint influences of personal and contextual characteristics. Previous studies have often investigated how student learning is associated with either personal or contextual factors. This study takes an integrative research perspective into account and examines the joint effects of personality, academic motivation, and teaching strategies on students' learning strategies in a same educational context in first-year higher education. In this study, 1,126 undergraduate students and 90 lecturers from eight professional bachelor programmes in a university college participated. Self-report measures were used to measure students' personality, academic motivation, and learning strategies. Students' processing and regulation strategies are mapped using the Inventory of Learning Styles. Key characteristics of more content-focused versus learning-focused teaching strategies were measured. Multivariate multi-level analysis was used to take the nested data structure and interrelatedness of learning strategies into account. Different personality traits (openness, conscientiousness, and neuroticism) and academic motivation (amotivation, autonomous, and controlled motivation) were found to be independently associated with student learning strategies. Besides these student characteristics, also teaching strategies were found to be directly associated with learning strategies. The study makes clear that the impact of teaching strategies on learning strategies in first-year higher education cannot be overlooked nor overinterpreted, due to the importance of students' personality and academic motivation which also partly explain why students learn the way they do. © 2013 The British Psychological Society.

Older Adults' Motivation to Learn in Higher Education

Science.gov (United States)

Lin, Yi-Yin

2011-01-01

A limited amount of literature has discussed older adults in formal education, especially their motivations to learn in higher education. This study aims to understand older adults' learning in the context of higher education. Specifically, this study argues that higher education can function as a stimulating learning environment that helps older…

Toward an autonomous brain machine interface: integrating sensorimotor reward modulation and reinforcement learning.

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Marsh, Brandi T; Tarigoppula, Venkata S Aditya; Chen, Chen; Francis, Joseph T

2015-05-13

For decades, neurophysiologists have worked on elucidating the function of the cortical sensorimotor control system from the standpoint of kinematics or dynamics. Recently, computational neuroscientists have developed models that can emulate changes seen in the primary motor cortex during learning. However, these simulations rely on the existence of a reward-like signal in the primary sensorimotor cortex. Reward modulation of the primary sensorimotor cortex has yet to be characterized at the level of neural units. Here we demonstrate that single units/multiunits and local field potentials in the primary motor (M1) cortex of nonhuman primates (Macaca radiata) are modulated by reward expectation during reaching movements and that this modulation is present even while subjects passively view cursor motions that are predictive of either reward or nonreward. After establishing this reward modulation, we set out to determine whether we could correctly classify rewarding versus nonrewarding trials, on a moment-to-moment basis. This reward information could then be used in collaboration with reinforcement learning principles toward an autonomous brain-machine interface. The autonomous brain-machine interface would use M1 for both decoding movement intention and extraction of reward expectation information as evaluative feedback, which would then update the decoding algorithm as necessary. In the work presented here, we show that this, in theory, is possible. Copyright © 2015 the authors 0270-6474/15/357374-14$15.00/0.

Current Trends in Higher Education Learning and Teaching

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Singh, R. J.

2012-01-01

Current trends in higher education learning and teaching focuses on the use of technology, integrated learning through "blended learning" and writing for academic purposes. This introductory article initiates the debate around the context of South African higher education teaching and learning. It does so by contextualizing the South…

Autonomy support for autonomous motivation in medical education.

Science.gov (United States)

Kusurkar, Rashmi A; Croiset, Gerda

2015-01-01

Medical students often study only to fare well in their examinations or pursue a specific specialty, or study only those topics that they perceive to be useful in medical practice. The motivation for study in these cases comes from external or internal pressures or from the desire to obtain rewards. Self-determination theory (SDT) classifies this type of motivation as controlled motivation and the type of motivation that comes from genuine interest or personal value as autonomous motivation. Autonomous motivation, in comparison with controlled motivation, has been associated with better learning, academic success, and less exhaustion. SDT endorses autonomous motivation and suggests that autonomy support is important for autonomous motivation. The meaning of autonomy is misinterpreted by many. This article tries to focus on how to be autonomy-supportive in medical education. Autonomy support refers to the perception of choice in learning. Some of the ways of supporting autonomy in medical education are small group teaching, problem-based learning, and gradual increase in responsibility of patients. Autonomy-supportive teaching behavior is not a trait and can be learned. Autonomy support in medical education is not limited to bringing in changes in the medical curriculum for students; it is about an overall change in the way of thinking and working in medical schools that foster autonomy among those involved in education. Research into autonomy in medical education is limited. Some topics that need to be investigated are the ideas and perceptions of students and teachers about autonomy in learning. Autonomy support in medical education can enhance autonomous motivation of students for medical study and practice and make them autonomy-supportive in their future medical practice and teaching.

Higher Education Students’ Behaviour to Adopt Mobile Learning

Science.gov (United States)

Batmetan, J. R.; Palilingan, V. R.

2018-02-01

Mobile phone is an electronic device most often used by Y generation in Indonesia. This ages have become an important part in the growth of higher education in this country. The problem raised in this study is that very few students in higher education are adopting and accessing digital learning content using mobile phones. The objective of this study is to investigate the higher education students’ behaviour in using mobile learning. The research method used is Structural equation models (SEM) method to analyse the factors that influence higher education students’ behaviour in using mobile learning. The results of this study indicate tends of this student 85% to keep internet access in privacy. The majority of respondent is 78% having behaviour to keep adopting mobile learning and still use it in the future. Why? because this study shows that on the level of usability, easy to use, easy to learn, in various devices have a significant effect on the level of adoption of mobile learning. Implication of this study is higher education students’ behaviour of especially Y generation tends to prioritize the usability towards mobile learning and will continue to adopt mobile learning in the future.

Playful learning in higher education

DEFF Research Database (Denmark)

Nørgård, Rikke Toft; Toft-Nielsen, Claus; Whitton, Nicola

2017-01-01

in higher education through the metaphor of the ‘magic circle’. This approach stimulates intrinsic motivation and educational drive, creates safe spaces for academic experimentation and exploration, and promotes reflective risk-taking, ideation, and participation in education. We present a model of playful......Increased focus on quantifiable performance and assessment in higher education is creating a learning culture characterised by fear of failing, avoidance of risk, and extrinsic goal-oriented behaviours. In this article, we explore possibilities of a more playful approach to teaching and learning...... learning, drawing on notions of signature pedagogies, field literature, and two qualitative studies on learner conceptions of enjoyment and reasons for disengagement. We highlight the potential of this approach to invite a different mind-set and environment, providing a formative space in which failure...

Tracked robot controllers for climbing obstacles autonomously

Science.gov (United States)

Vincent, Isabelle

2009-05-01

Research in mobile robot navigation has demonstrated some success in navigating flat indoor environments while avoiding obstacles. However, the challenge of analyzing complex environments to climb obstacles autonomously has had very little success due to the complexity of the task. Unmanned ground vehicles currently exhibit simple autonomous behaviours compared to the human ability to move in the world. This paper presents the control algorithms designed for a tracked mobile robot to autonomously climb obstacles by varying its tracks configuration. Two control algorithms are proposed to solve the autonomous locomotion problem for climbing obstacles. First, a reactive controller evaluates the appropriate geometric configuration based on terrain and vehicle geometric considerations. Then, a reinforcement learning algorithm finds alternative solutions when the reactive controller gets stuck while climbing an obstacle. The methodology combines reactivity to learning. The controllers have been demonstrated in box and stair climbing simulations. The experiments illustrate the effectiveness of the proposed approach for crossing obstacles.

A CONCEPTUAL MODEL FOR EFFECTIVE DISTANCE LEARNING IN HIGHER A CONCEPTUAL MODEL FOR EFFECTIVE DISTANCE LEARNING IN HIGHER A CONCEPTUAL MODEL FOR EFFECTIVE DISTANCE LEARNING IN HIGHER EDUCATION

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Mehran FARAJOLLAHI

2010-07-01

Full Text Available The present research aims at presenting a conceptual model for effective distance learning in higher education. Findings of this research shows that an understanding of the technological capabilities and learning theories especially constructive theory and independent learning theory and communicative and interaction theory in Distance learning is an efficient factor in the planning of effective Distance learning in higher education. Considering the theoretical foundations of the present research, in the effective distance learning model, the learner is situated at the center of learning environment. For this purpose, the learner needs to be ready for successful learning and the teacher has to be ready to design the teaching- learning activities when they initially enter the environment. In the present model, group and individual active teaching-learning approach, timely feedback, using IT and eight types of interactions have been designed with respect to theoretical foundations and current university missions. From among the issues emphasized in this model, one can refer to the Initial, Formative and Summative evaluations. In an effective distance learning environment, evaluation should be part of the learning process and the feedback resulting from it should be used to improve learning. For validating the specified features, the opinions of Distance learning experts in Payame Noor, Shiraz, Science and Technology and Amirkabir Universities have been used which verified a high percentage of the statistical sample of the above mentioned features.

Learning for Autonomous Navigation

Science.gov (United States)

Angelova, Anelia; Howard, Andrew; Matthies, Larry; Tang, Benyang; Turmon, Michael; Mjolsness, Eric

2005-01-01

Robotic ground vehicles for outdoor applications have achieved some remarkable successes, notably in autonomous highway following (Dickmanns, 1987), planetary exploration (1), and off-road navigation on Earth (1). Nevertheless, major challenges remain to enable reliable, high-speed, autonomous navigation in a wide variety of complex, off-road terrain. 3-D perception of terrain geometry with imaging range sensors is the mainstay of off-road driving systems. However, the stopping distance at high speed exceeds the effective lookahead distance of existing range sensors. Prospects for extending the range of 3-D sensors is strongly limited by sensor physics, eye safety of lasers, and related issues. Range sensor limitations also allow vehicles to enter large cul-de-sacs even at low speed, leading to long detours. Moreover, sensing only terrain geometry fails to reveal mechanical properties of terrain that are critical to assessing its traversability, such as potential for slippage, sinkage, and the degree of compliance of potential obstacles. Rovers in the Mars Exploration Rover (MER) mission have got stuck in sand dunes and experienced significant downhill slippage in the vicinity of large rock hazards. Earth-based off-road robots today have very limited ability to discriminate traversable vegetation from non-traversable vegetation or rough ground. It is impossible today to preprogram a system with knowledge of these properties for all types of terrain and weather conditions that might be encountered.

Determinants of Teachers' Attitudes towards E- Learning in Tanzanian Higher Learning Institutions

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Kisanga, Dalton H.

2016-01-01

This survey research study presents the findings on determinants of teachers' attitudes towards e-learning in Tanzanian higher learning institutions. The study involved 258 teachers from 4 higher learning institutions obtained through stratified, simple random sampling. Questionnaires and documentary review were used in data collection. Data were…

Metacognition and Successful Learning Strategies in Higher Education

Science.gov (United States)

Railean, Elena, Ed.; Alev Elçi, Ed.; Elçi, Atilla, Ed.

2017-01-01

Metacognition plays an important role in numerous aspects of higher educational learning strategies. When properly integrated in the educational system, schools are better equipped to build more efficient and successful learning strategies for students in higher education. "Metacognition and Successful Learning Strategies in Higher…

Estilos de pensamiento Cognitive styles: an approach to autonomous learning in L2 adult students

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Atehortúa Atehortúa José Nicolás

2010-01-01

Full Text Available El siguiente artículo resume los resultados de una investigación descriptivo-cualitativa sobre estilos cognitivos o de pensamiento, llevado a cabo con miembros del programa de extensión académica en la UPB, con el objetivo de describir los estilos de pensamiento de los estudiantes que les permitan reconocer y utilizar estrategias meta cognitivas para desarrollar un nivel consciente de responsabilidad y autonomía en el aprendizaje de una lengua extranjera. El marco teórico de este estudio se basa en conceptos tales como estilos cognitivos, estrategias meta cognitivas, aptitud, así como la autonomía y la responsabilidad en el aprendizaje. Los instrumentos diseñados para la recopilación de datos fueron un test sobre estilos cognitivos, en segundo lugar, un cuestionario semiestructurado con los siguientes ítems: proceso de toma de decisiones, la auto descripción como aprendices, las percepciones del estudiante sobre el papel del profesor, incluido el uso de estrategias meta cognitivas, tercero , una entrevista abierta con el objetivo de medir el impacto que tiene el concebir un proceso de aprendizaje de una lengua extranjera desde la perspectiva de los estilos de pensamiento. Los resultados mostraron la expectativa de los estudiantes para reconocer las capacidades humanas, la necesidad de adquirir la competencia estratégica, la necesidad real de participar abiertamente en la planificación de metas y objetivos, y en la auto-evaluación formativa del proceso de aprendizaje, así como el deseo de pasar de un proceso centrado en tareas, a un proceso centrado en la autonomía. The following article sums up the findings of a descriptive-qualitative research on cognitive styles carried out with members of the Academic Extension program at the UPB, aiming at describing the cognitive styles of students that enable them to recognize and use metacognitive strategies in order to develop a conscious level of autonomy and responsibility in learning

Autonomy support for autonomous motivation in medical education

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Rashmi A. Kusurkar

2015-05-01

Full Text Available Background: Medical students often study only to fare well in their examinations or pursue a specific specialty, or study only those topics that they perceive to be useful in medical practice. The motivation for study in these cases comes from external or internal pressures or from the desire to obtain rewards. Self-determination theory (SDT classifies this type of motivation as controlled motivation and the type of motivation that comes from genuine interest or personal value as autonomous motivation. Autonomous motivation, in comparison with controlled motivation, has been associated with better learning, academic success, and less exhaustion. SDT endorses autonomous motivation and suggests that autonomy support is important for autonomous motivation. The meaning of autonomy is misinterpreted by many. This article tries to focus on how to be autonomy-supportive in medical education. Discussion: Autonomy support refers to the perception of choice in learning. Some of the ways of supporting autonomy in medical education are small group teaching, problem-based learning, and gradual increase in responsibility of patients. Autonomy-supportive teaching behavior is not a trait and can be learned. Autonomy support in medical education is not limited to bringing in changes in the medical curriculum for students; it is about an overall change in the way of thinking and working in medical schools that foster autonomy among those involved in education. Research into autonomy in medical education is limited. Some topics that need to be investigated are the ideas and perceptions of students and teachers about autonomy in learning. Conclusion: Autonomy support in medical education can enhance autonomous motivation of students for medical study and practice and make them autonomy-supportive in their future medical practice and teaching.

Learning Entrepreneurship in Higher Education

Science.gov (United States)

Taatila, Vesa P.

2010-01-01

Purpose: There is a constant need to produce more entrepreneurial graduates from higher education institutions. This paper aims to present and discuss several successful cases of entrepreneurial learning environments in order to suggest some important aspects that higher education institutions should consider. Design/methodology/approach: The…

E-LEARNING INNOVATIONS IN HIGHER EDUCATION

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NICOLETA GUDANESCU

2012-05-01

Full Text Available This scientific work is presenting the ways to do computer assisted education for students, giving the good practice examples, presenting new electronic learning systems, the advantages and limits and to try to emphasize that these days E-learning is one of the most efficient way to reach education at all levels, specially higher education systems. The objectives of this paper are: to explain the contribution of modern technologies and electronic systems to educational processes, to define the concept of technology based learning, to introduce the electronic tools for education, to present good practice examples in implementing E-learning systems in higher education and corporate environment in Romania and last but not least the new electronic learning systems. Introducing the computers and ITC in educational processes facilitates them and makes the educational system modern and efficient. E - learning innovations offers a core group of professional development courses designed to help anyone achieve professional advancement and personal enrichment. The programs are founded on an extensive experience and understanding of technology-based learning environments. They focus on the most current industry practices for various learning environments and best approaches for multiple learning styles. They ensure that the students get the information and skills needed to achieve more in teaching practice and to confidently enter the distance or online classroom.

The Role that Socioaffective Practices Play in Third Graders’ Autonomous Learning

Directory of Open Access Journals (Sweden)

Jhonatan Perdomo Toro

2011-07-01

Full Text Available In this article we describe and analyze how autonomous learning emerges in third graders' socioaffective practices as reconstructed in written narratives. Results were obtained by analyzing and reflecting on classroom observation, interviews and written narratives done by the students which let us appreciate different behaviors and reactions the students usually went through. This study shows that children are able to recognize and reflect on the causes and consequences of situations thanks to the use of different socialization forms implemented by their parents; those forms help them become aware of their duties and homework. It also makes evident that social interaction, with family as the main contributors, plays an important role in children's development of autonomy.

Neural network regulation driven by autonomous neural firings

Science.gov (United States)

Cho, Myoung Won

2016-07-01

Biological neurons naturally fire spontaneously due to the existence of a noisy current. Such autonomous firings may provide a driving force for network formation because synaptic connections can be modified due to neural firings. Here, we study the effect of autonomous firings on network formation. For the temporally asymmetric Hebbian learning, bidirectional connections lose their balance easily and become unidirectional ones. Defining the difference between reciprocal connections as new variables, we could express the learning dynamics as if Ising model spins interact with each other in magnetism. We present a theoretical method to estimate the interaction between the new variables in a neural system. We apply the method to some network systems and find some tendencies of autonomous neural network regulation.

Peer Learning in Specialist Higher Music Education

Science.gov (United States)

Hanken, Ingrid Maria

2016-01-01

Research on peer learning in higher education indicates that learning from and together with peers can benefit students in a number of ways. Within higher music education in Western, classical music, however, the master-apprentice tradition with its dominant one-to-one mode of tuition focuses predominantly on knowledge transmission from teacher to…

Neural classifiers for learning higher-order correlations

International Nuclear Information System (INIS)

Gueler, M.

1999-01-01

Studies by various authors suggest that higher-order networks can be more powerful and biologically more plausible with respect to the more traditional multilayer networks. These architecture make explicit use of nonlinear interactions between input variables in the form of higher-order units or product units. If it is known a priori that the problem to be implemented possesses a given set of invariances like in the translation, rotation, and scale invariant recognition problems, those invariances can be encoded, thus eliminating all higher-order terms which are incompatible with the invariances. In general, however, it is a serious set-back that the complexity of learning increases exponentially with the size of inputs. This paper reviews higher-order networks and introduces an implicit representation in which learning complexity is mainly decided by the number of higher-order terms to be learned and increases only linearly with the input size

Neural Classifiers for Learning Higher-Order Correlations

Science.gov (United States)

Güler, Marifi

1999-01-01

Studies by various authors suggest that higher-order networks can be more powerful and are biologically more plausible with respect to the more traditional multilayer networks. These architectures make explicit use of nonlinear interactions between input variables in the form of higher-order units or product units. If it is known a priori that the problem to be implemented possesses a given set of invariances like in the translation, rotation, and scale invariant pattern recognition problems, those invariances can be encoded, thus eliminating all higher-order terms which are incompatible with the invariances. In general, however, it is a serious set-back that the complexity of learning increases exponentially with the size of inputs. This paper reviews higher-order networks and introduces an implicit representation in which learning complexity is mainly decided by the number of higher-order terms to be learned and increases only linearly with the input size.

Peer Learning for Change in Higher Education

Science.gov (United States)

Hilsdon, John

2014-01-01

This paper draws upon small scale, qualitative research at a UK university to present a Learning Development (LD) perspective on peer learning. This approach is offered as a lens for exploring social aspects of learning, cultural change in higher education and implications for pedagogy and policy. Views of a small group of peer learning leaders…

Appreciation of learning environment and development of higher-order learning skills in a problem-based learning medical curriculum.

Science.gov (United States)

Mala-Maung; Abdullah, Azman; Abas, Zoraini W

2011-12-01

This cross-sectional study determined the appreciation of the learning environment and development of higher-order learning skills among students attending the Medical Curriculum at the International Medical University, Malaysia which provides traditional and e-learning resources with an emphasis on problem based learning (PBL) and self-directed learning. Of the 708 participants, the majority preferred traditional to e-resources. Students who highly appreciated PBL demonstrated a higher appreciation of e-resources. Appreciation of PBL is positively and significantly correlated with higher-order learning skills, reflecting the inculcation of self-directed learning traits. Implementers must be sensitive to the progress of learners adapting to the higher education environment and innovations, and to address limitations as relevant.

Socially intelligent autonomous agents that learn from human reward

NARCIS (Netherlands)

Li, Guangliang

2016-01-01

In the future, autonomous agents will operate in human inhabited environments in many real world applications and become an integral part of human’s daily lives. Therefore, when autonomous agents enter into the real world, they need to adapt to many novel, dynamic and complex situations that cannot

Challenges Facing Blended Learning in Higher Education in Asia

Science.gov (United States)

Tham, Raymond; Tham, Lesley

2013-01-01

This paper examines the current stage of development of blended learning in higher education in China, South Korea and Japan, with a comparison to the city state of Singapore. It is noted that blended learning and e-learning are introduced at institutes of higher learning in these countries with varying

Presence and Perceived Learning in Different Higher Education Blended Learning Environments

Science.gov (United States)

Khodabandelou, Rouhollah; Jalil, Habibah Ab; Ali, Wan Zah Wan; Daud, Shaffe Mohd

2015-01-01

Blended learning as "third generation" of distance learning has the potential to offer multimethod instruction through the blend, to leverage the strengths of current online and traditional instructions. Therefore, higher education institutions having recognized the fact that blended learning is beneficial, adopted this alternative…

Online Learning and Teaching in Higher Education, a book review

OpenAIRE

Sancho Vinuesa, Teresa

2008-01-01

Peer-reviewed Online Learning and Teaching in Higher Education provides a very interesting overview of theory and practice in online learning and teaching for higher education. In fact, authors focus on how technology can be applied to learning and what is the role of online learning in higher education policy and practice.

Mobile Learning for Higher Education in Problem-Based Learning Environments

DEFF Research Database (Denmark)

Rongbutsri, Nikorn

2011-01-01

This paper describes the PhD project on Mobile Learning for Higher Education in Problem-Based Learning Environment which aims to understand how students gain benefit from using mobile devices in the aspect of project work collaboration. It demonstrates research questions, theoretical perspective...

Cooperative Learning for Distributed In-Network Traffic Classification

Science.gov (United States)

Joseph, S. B.; Loo, H. R.; Ismail, I.; Andromeda, T.; Marsono, M. N.

2017-04-01

Inspired by the concept of autonomic distributed/decentralized network management schemes, we consider the issue of information exchange among distributed network nodes to network performance and promote scalability for in-network monitoring. In this paper, we propose a cooperative learning algorithm for propagation and synchronization of network information among autonomic distributed network nodes for online traffic classification. The results show that network nodes with sharing capability perform better with a higher average accuracy of 89.21% (sharing data) and 88.37% (sharing clusters) compared to 88.06% for nodes without cooperative learning capability. The overall performance indicates that cooperative learning is promising for distributed in-network traffic classification.

Work-based learning in Higher Education – impact on learning and employability.

NARCIS (Netherlands)

Evers, Arnoud

2018-01-01

The main theme: Work-based learning in higher education has been emphasised while changes at work and in society have challenged knowledge and competencies. Learning in higher education is needed to be seen differently, and more attention is paid to students’ employability and the sustainability of

Extension and Higher Education Service-Learning: Toward a Community Development Service-Learning Model

Science.gov (United States)

Stoecker, Randy

2014-01-01

This article explores how on-the-ground Extension educators interface with higher education service-learning. Most service-learning in Extension has focused on precollege youth and 4-H. When we look at higher education service-learning and Extension in Wisconsin, we see that there is not as much connection as might be expected. County-based…

Assessment of the Autonomous Learning Competence in Engineering Degree Courses at the Universitat Politècnica De Catalunya

Science.gov (United States)

Olmedo-Torre, Noelia; Farrerons Vidal, Oscar

2017-01-01

We present a strategy for the acquisition and assessment of autonomous learning conducted as part of the Graphic Expression in Engineering (GE) degree course during the first quarter at the Escola Universitària d'Enginyeria Tècnica Industrial de Barcelona (EUETIB). The strategy employed is the puzzle technique in the classroom and multiple-choice…

The Use of Autonomous Systems in Emergency Medical Services: Bridging Human Intelligence and Technology

Science.gov (United States)

2015-12-01

Google’s Autonomous Car Applies Lessons Learned from Driverless Races by Alan Brown, the literature provides the reader with a basic understanding of...Brown, “Google’s Autonomous Car Applies Lessons Learned from Driverless Races,” Mechanical Engineering 133, no. 2 (February 2011): 31. 11 Robert...sensormonitoring.files.wordpress. com/2014/03/iot.png. B. AUTONOMOUS VEHICLE TECHNOLOGY The “Google Car,” “automatic car,” “ driverless vehicle

Academic performance in blended learning in higher education

OpenAIRE

Moreira, J. António; Mendes, Alexandra

2011-01-01

Institutions of Higher Education in Portugal face today unique challenges. Aware of the change, in general, these institutions have presented reform initiatives covering in their strategic plans new frames ofoperation, where e-learning and/or b-learning are recognized. The present study aims mainly to know the impact that b-learning and the implementation of some pedagogical models adapted to these environments may have on academic performance of students in higher education. Data analysis, r...

The Autonomous Student: A Footnote.

Science.gov (United States)

Long, Jancis

1987-01-01

An argument that rationality is a learned behavior, rather than a natural facility, is developed vis-a-vis certain educational theories. The difficulties students face in maintaining a rational stance in an autonomous classroom are also discussed. (JL)

Do Mobile Learning Devices Enhance Learning in Higher Education Anatomy Classrooms?

Science.gov (United States)

Wilkinson, Kate; Barter, Phil

2015-01-01

Recently there has been an increased volume of research and practice of mobile Learning (mLearning) and in particular of the tablet device. The question of how, when and where to best incorporate the tablet device into the learning environment in Higher Education remains largely unanswered. The article presents the findings of an empirical study…

The Role of Social Factors in Iranian University Students' Predispositions towards Autonomous Language Learning

Directory of Open Access Journals (Sweden)

Sara Kashefian Naeeini

2012-07-01

Full Text Available In order to meet the demands of the changing world, students should become endowed with the ability to learn perpetually and regard learning as a life-long enterprise. This study investigated those learners belief which showed learners’ predispositions toward autonomy  and some social factors such as gender, academic achievement, marital status and age were taken into consideration. All BA and MA students majoring in English Literature at the department of Foreign Languages of Shiraz University of Iran were involved. The data were collected through a questionnaire the items of which were obtained from two questionnaires by Cotterall (1995 and Cotterall (1999 which were incorporated into a five-point Likert-type rating scale. Factor analysis of responses of students revealed the existence of five underlying factors for learner autonomy which were learner independence, dependence on the teacher, learner confidence, attitudes towards language learning and self-assessment. Based on t-test for independent samples and Analysis of Variance it came to light that age and gender did not have impact on students’ readiness for autonomy while martial statues influenced students’  self-assessment. Moreover, good academic achievement positively influenced their predispositions towards autonomous language learning.

Study on Learning Motivation of Higher Vocational Colleges Students in Tianjin

Institute of Scientific and Technical Information of China (English)

HAO Dong-ze

2015-01-01

Learning motivation occupies an important position in non-intelligence factors,as it plays a pivotal role in university students’ successful completion of their studies and strengthening of professional knowledge base.However,the present university students generally lack motivation in higher education.This research used questionnaire method,which is a questionnaire random sample in 500 students of learning motivation from four comprehensive higher vocational colleges of Tianjin,and explores the sta⁃tus quo of learning motivation in higher vocational students of Tianjin.The result shows:The learning motivation level of higher vocational colleges students is above middle level;Male on the learning motivation total level is significantly higher than female;Rural students in the learning motivation on the aggregate level is significantly higher than that of urban students;Look from the different grades,sophomore students have lowest level of learning motivation;Freshmen learning motivation is at highest level.

A Framework for Mobile Learning for the enhancement of Learning in Higher Education

Directory of Open Access Journals (Sweden)

Kadar Abdillahi Barreh

2015-07-01

Full Text Available As mobile learning becomes increasingly pervasive, many higher education institutions have embarked on a number of mobile learning initiatives to support their traditional learning modes. This study proposes a framework for mobile learning for the enhancement of learning in higher education. This framework for mobile learning is based on the research conducted on the second year course entitled “Internet Technology,” taught to second year students in the Department of Mathematics and Computer Science at the University of Djibouti. While the entire gamut of mobile technologies and academic applications needs to be considered, special emphasis and focus is provided to Short Message Services (SMS and popular social network sites such as Facebook, which is widely used for recreation. This paper highlights how mobile learning using SMS and Facebook can be designed to enhance student learning in order to help achieve learning outcomes.

Pedagogical Conditions of Multilevel Foreign Languages Teaching in Pedagogical Higher Education

Science.gov (United States)

Kadakin, Vasily V.; Shukshina, Tatiana I.; Piskunova, Svetlana I.; Babushkina, Larisa E.; Falileev, Alexander E.

2016-01-01

This article is devoted to pedagogical conditions of multilevel foreign languages teaching in pedagogical higher education. The purpose of the study is to form the students' skills in foreign language mastering, to form the ability to operate independently and autonomously in this activity, both in the specific learning situation, and in the…

Multiresolutional schemata for unsupervised learning of autonomous robots for 3D space operation

Science.gov (United States)

Lacaze, Alberto; Meystel, Michael; Meystel, Alex

1994-01-01

This paper describes a novel approach to the development of a learning control system for autonomous space robot (ASR) which presents the ASR as a 'baby' -- that is, a system with no a priori knowledge of the world in which it operates, but with behavior acquisition techniques that allows it to build this knowledge from the experiences of actions within a particular environment (we will call it an Astro-baby). The learning techniques are rooted in the recursive algorithm for inductive generation of nested schemata molded from processes of early cognitive development in humans. The algorithm extracts data from the environment and by means of correlation and abduction, it creates schemata that are used for control. This system is robust enough to deal with a constantly changing environment because such changes provoke the creation of new schemata by generalizing from experiences, while still maintaining minimal computational complexity, thanks to the system's multiresolutional nature.

Smartphones Promote Autonomous Learning in ESL Classrooms

Science.gov (United States)

Ramamuruthy, Viji; Rao, Srinivasa

2015-01-01

The rapid development of high-technology has caused new inventions of gadgets for all walks of life regardless age. In this rapidly advancing technology era many individuals possess hi-tech gadgets such as laptops, tablets, iPad, android phones and smart phones. Adult learners in higher learning institution especially are fond of using smart…

Control algorithms for autonomous robot navigation

International Nuclear Information System (INIS)

Jorgensen, C.C.

1985-01-01

This paper examines control algorithm requirements for autonomous robot navigation outside laboratory environments. Three aspects of navigation are considered: navigation control in explored terrain, environment interactions with robot sensors, and navigation control in unanticipated situations. Major navigation methods are presented and relevance of traditional human learning theory is discussed. A new navigation technique linking graph theory and incidental learning is introduced

Discovering students mobile learning experiences in higher education in Nigeria

OpenAIRE

Oyelere, Solomon S.; Suhonen, Jarkko; Shonola, Shaibu A.; Joy, Mike

2016-01-01

M-learning plays a progressively significant role in the advancement of teaching and learning in higher education. However, the effective implementation of m-learning in higher education will be based on users’ experiences and motivation to use this technology. Though m-learning has become global, developing countries such as Nigeria are yet to enjoy the full potential offered by m-learning. This study is focused on ascertaining students’ experiences with m-learning, determining the influence...

Letting Go of Control to the Learners: The Role of the Internet in Promoting a More Autonomous View of Learning in an Academic Translation Course.

Science.gov (United States)

Yumuk, Ayse

2002-01-01

English-speaking Turkish translation students (n=90) were taught to apply Internet searches to translation tasks. Pre/post program data indicate that student learned to reflect critically on their learning and to shift from teacher-dependent to autonomous approaches. They recognized that translation required more personal responsibility from the…

Learning space preferences of higher education students

NARCIS (Netherlands)

Beckers, R.; van der Voordt, Theo; Dewulf, G

2016-01-01

This paper aims to address higher education students' learning space preferences. The study is based on a survey that involved 697 business management students of a Dutch University of Applied Sciences. The research focuses on preferred learning spaces for individual study activities, which

Learning space preferences of higher education students

NARCIS (Netherlands)

Beckers, Ronald; van der Voordt, Theo; Dewulf, Geert P.M.R.

2016-01-01

This paper aims to address higher education students’ learning space preferences. The study is based on a survey that involved 697 business management students of a Dutch University of Applied Sciences. The research focuses on preferred learning spaces for individual study activities, which require

A History of Learning Communities within American Higher Education

Science.gov (United States)

Fink, John E.; Inkelas, Karen Kurotsuchi

2015-01-01

This chapter describes the historical development of learning communities within American higher education. We examine the forces both internal and external to higher education that contributed to and stalled the emergence of learning communities in their contemporary form.

Learning Groups in MOOCs: Lessons for Online Learning in Higher Education

Directory of Open Access Journals (Sweden)

Godfrey Mayende

2017-06-01

Full Text Available when there is interaction within online learning groups, meaningful learning is achieved. Motivating and sustaining effective student interactions requires planning, coordination and implementation of curriculum, pedagogy and technology. For our aim to understand online learning group processes to identify effective online learning group mechanisms, comparative analysis was used on a massive open online course (MOOC run in 2015 and 2016. Qualitative (interaction on the platform and quantitative (survey methods were used. The findings revealed several possible ways to improve online learning group processes. This paper concludes that course organization helped in increasing individual participation in the groups. Motivation by peers helped to increase sustainability of interaction in the learning groups. Applying these mechanisms in higher education can make online learning groups more effective.

Implementation of Blended Learning in Higher Learning Institutions: A Review of the Literature

Science.gov (United States)

Ma'arop, Amrien Hamila; Embi, Mohamed Amin

2016-01-01

While many educational premises including higher learning institutions favor blended learning over traditional approach and merely online learning, some academicians are still apprehensive about teaching in blended learning. The aim of this review is to synthesize the available evidence in the literature on challenges faced in implementing blended…

Factors for Effective E-learning Integration in Higher Education in ...

African Journals Online (AJOL)

This article discusses factors that contribute to effective e-learning integration in higher education in the context of Sub-Sahara Africa. It involved retrieving articles using key words such as e-learning, perceptions, knowledge, skills, implementation, facilities, access, support, learning management system and higher ...

Computer-Supported Collaborative Learning in Higher Education

Science.gov (United States)

Roberts, Tim, Ed.

2005-01-01

"Computer-Supported Collaborative Learning in Higher Education" provides a resource for researchers and practitioners in the area of computer-supported collaborative learning (also known as CSCL); particularly those working within a tertiary education environment. It includes articles of relevance to those interested in both theory and practice in…

Guidance in Reading Strategies: A First Step Towards Autonomous Learning in a Semi-Distance Education Program

Directory of Open Access Journals (Sweden)

Jahir Aguirre Morales

2009-04-01

Full Text Available This article aims at sharing the results of a research project focused on guiding students in the use of different reading strategies: reading non- text information, skimming and scanning, using contextual reference, predicting, and using true/false cognates as a first step towards autonomous learning. The project was conducted at a Colombian university with two groups of business administration students who belonged to a semi-distance education program. Informal talks with students, questionnaires, interviews and a teacher’s diary were used to collect the information in this action research study. Findings revealed that by knowing several reading strategies the students could reflect upon their learning; meta-cognition processes were enhanced and confidence for students to work by themselves was built up.

The Use Of Social Networking Sites For Learning In Institutions Of Higher Learning

Directory of Open Access Journals (Sweden)

Mange Gladys Nkatha

2015-08-01

Full Text Available Abstract Institutions of higher learning are facing greater challenges to change and subjected to various transformations in the surrounding environment including technology. These challenge and motivate them to explore new ways to improve their teaching approaches. This study sought to investigate the use of social networking site in institutions of higher learning. To this end two objectives were formulated 1 to investigate the current state of the use of social networking sites by the students 2 investigate how social networking sites can be used to promote authentic learning in institutions of higher learning. The study adopted exploratory approach using descriptive survey design where a sample of 10 67 students were picked from Jomo Kenyatta University of Agriculture and Technology JKUAT main campus. The findings indicate the use of social networking sites is a viable option as the students are not only members of social networking sites but also that majority have access to the requisite technological devices. Additionally recommendations for ensuring authentic learning were presented. The researcher recommends the exploration of the leveraging of the existing social networking sites for learning in conjunction with key stakeholders.

Virtual Communities of Collaborative Learning for Higher Education

Science.gov (United States)

Sotomayor, Gilda E.

2014-01-01

This article aims to outline and project three new learning scenarios for Higher Education that, after the emergence of ICT and communication through the Network-lnternet, have appeared under the generic name of virtual communities. To that end, we start from a previous conceptual analysis on collaborative learning, cooperative learning and…

Vision Based Autonomous Robotic Control for Advanced Inspection and Repair

Science.gov (United States)

Wehner, Walter S.

2014-01-01

The advanced inspection system is an autonomous control and analysis system that improves the inspection and remediation operations for ground and surface systems. It uses optical imaging technology with intelligent computer vision algorithms to analyze physical features of the real-world environment to make decisions and learn from experience. The advanced inspection system plans to control a robotic manipulator arm, an unmanned ground vehicle and cameras remotely, automatically and autonomously. There are many computer vision, image processing and machine learning techniques available as open source for using vision as a sensory feedback in decision-making and autonomous robotic movement. My responsibilities for the advanced inspection system are to create a software architecture that integrates and provides a framework for all the different subsystem components; identify open-source algorithms and techniques; and integrate robot hardware.

Learning from the Field : Innovating China's Higher Education System

International Development Research Centre (IDRC) Digital Library (Canada)

2008-04-15

Learning from the Field : Innovating China's Higher Education System. Couverture du livre Learning from the Field : Innovating China's Higher Education System. Editor(s):. Ronnie Vernooy, Li Xiaoyun, Xu Xiuli, Lu Min, et Qi Gubo. Publisher(s):. Foundation Book, CRDI. April 15, 2008. ISBN: 9788175966017. 260 pages.

Skinner-Rusk unified formalism for higher-order systems

Science.gov (United States)

Prieto-Martínez, Pedro Daniel; Román-Roy, Narciso

2012-07-01

The Lagrangian-Hamiltonian unified formalism of R. Skinner and R. Rusk was originally stated for autonomous dynamical systems in classical mechanics. It has been generalized for non-autonomous first-order mechanical systems, first-order and higher-order field theories, and higher-order autonomous systems. In this work we present a generalization of this formalism for higher-order non-autonomous mechanical systems.

Self-Organizing and Autonomous Learning Agents and Systems

National Research Council Canada - National Science Library

Shen, Wei-Min

2004-01-01

...) Autonomous discovery and response to unexpected topology changes; (2) A new distributed functional language called DH2 for programming of self-reconfigurable systems using hormone-inspired computational methods...

Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks

Science.gov (United States)

DeCost, Brian L.; Jain, Harshvardhan; Rollett, Anthony D.; Holm, Elizabeth A.

2017-03-01

By applying computer vision and machine learning methods, we develop a system to characterize powder feedstock materials for metal additive manufacturing (AM). Feature detection and description algorithms are applied to create a microstructural scale image representation that can be used to cluster, compare, and analyze powder micrographs. When applied to eight commercial feedstock powders, the system classifies powder images into the correct material systems with greater than 95% accuracy. The system also identifies both representative and atypical powder images. These results suggest the possibility of measuring variations in powders as a function of processing history, relating microstructural features of powders to properties relevant to their performance in AM processes, and defining objective material standards based on visual images. A significant advantage of the computer vision approach is that it is autonomous, objective, and repeatable.

Curricular Placement of Academic Service-Learning in Higher Education

Science.gov (United States)

Phillips, Amy; Bolduc, Steven R.; Gallo, Michael

2013-01-01

The higher education service-learning literature is rich with case studies, guidelines for service-learning course and program development, and demonstrations of the impact of service-learning on students. Minimal discussion, however, focuses on the "strategic placement" of service-learning in disciplinary curricula, and how curricular…

The Use of Interactive Learning Technology in Institutions of Higher Learning

Science.gov (United States)

Abykanova, Bakytgul; Nugumanova, Samal; Yelezhanova, Shynar; Kabylkhamit, Zhanargul; Sabirova, Zhanylsyn

2016-01-01

This paper is linked to a study aiming to provide a theoretical rationale for the methodological foundations of the use of interactive learning technology in institutions of higher learning and undertakes to describe the process of practical implementation of this approach and analyze the outcomes. The authors examine the views expressed by…

The Place of E-Learning in Africa's Institutions of Higher Learning

Science.gov (United States)

Nafukho, Fredrick Muyia

2007-01-01

The paper seeks to accomplish four objectives. The first is to examine the need for e-learning in Africa's institutions of higher learning. The second is to discuss the policy, institutional, pedagogical, copyright, and quality assurance issues that need to be addressed. The third is to critically examine the advantages and disadvantages of…

AUTONOMÍA EN EL APRENDIZAJE: DIRECCIONES PARA EL DESARROLLO EN LA FORMACIÓN PROFESIONAL (AUTONOMOUS LEARNING: DIRECTIONS TO DEVELOP IN THE PROFESSIONAL FORMATION

Directory of Open Access Journals (Sweden)

Cabrera Ruiz Isaac

2009-08-01

Full Text Available Resumen:La necesidad del dominio por parte de los estudiantes de la capacidad para gestionar sus propios aprendizajes, de adoptar una autonomía creciente en sus estudios académicos y de disponer de herramientas intelectuales y sociales que le permitan un aprendizaje continuo a lo largo de toda la vida, ha dado lugar a la identificación de la capacidad de aprender a aprender entre los requerimientos básicos para el desempeño de cualquier profesión.El ensayo sistematiza aproximaciones teóricas y metodológicas centradas en el desarrollo de la autonomía del aprendizaje, base para proponer cinco direcciones específicas en la educación superior. En correspondencia son identificadas estrategias didácticas para introducir en el proceso de enseñanza aprendizaje, señalando las posibilidades de insertarse en los diferentes momentos orientadores de la guía de estudio.La tesis defendida en el artículo proclama que el desarrollo de estrategias en los estudiantes para el planteamiento y consecución de metas, la búsqueda y procesamiento de la información , la expresión y comunicación, el planteamiento y solución de problemas y la autorregulación del aprendizaje contribuyen a la formación de un profesional más autónomo en su aprendizaje.Abstract:The necesity of the students to command their own learning, to adopt a growing autonomy in their academic studies and to make ready some social and intellectual tools that allow them a continuos knowledge through their whole life; it has provided the identification of the capacity to learn learning among the basicrequirements to perform any profession.In that same sense the article has as the main goal, to propose directions for the development of the learning autonomy in higher education, then it comes to be more precise, from a review about the topic divided into five directions, by means of identifying didactic strategies to each of the referred directions, carrying the intention to develop

A Thematic Review of Blended Learning in Higher Education

Science.gov (United States)

Pima, John Marco; Odetayo, Michael; Iqbal, Rahat; Sedoyeka, Eliamani

2018-01-01

This article reviews the international literature on blended learning in view of establishing its thematic trends in higher education. The systematic review through PRISMA, sought to answer three research questions: First, how have publications evolved from 2000 to 2016 in blended learning in higher education? Secondly, what themes are frequently…

Learning Analytics focused on student behavior. Case study: dropout in distance learning institutions

Directory of Open Access Journals (Sweden)

Jose Aguilar

2017-04-01

Full Text Available Normally, Learning Analytics (LA can be focused on the analysis of the learning process or the student behavior. In this paper is analyzed the use of LA in the context of distance learning universities, particularly focuses on the students’ behavior. We propose to use a new concept, called "Autonomic Cycle of Learning Analysis Tasks", which defines a set of tasks of LA, whose common objective is to achieve an improvement in the process under study. In this paper, we develop the "Autonomic Cycle of LA Tasks" to analyze the dropout in distance learning institutions. We use a business intelligence methodology in order to develop the "Autonomic Cycle of LA Tasks" for the analysis of the dropout in distance learning. The Autonomic Cycle identifies factors that influence the decision of a student to abandon their studies, predicts the potentially susceptible students to abandon their university studies, and define a motivational pattern for these students.

Tablets for Learning in Higher Education

DEFF Research Database (Denmark)

Godsk, Mikkel

Based on a small-scale literature review this paper identifies the top 10 affordances of post PC tablets (sometimes referred to as ‘tablet computers’) for higher education in settings where the technology is used for learning. The review shows that the predominant affordances of the technology...... are related to its ability to support engaging, inclusive, and/or collaborative learning, to provide flexibility in place, and to include multimedia and interactive content in teaching practice. However, performing the review also revealed that the notion of tablets for learning is equivocal. As a consequence......, the concepts of tabletcasts and tabletcasting are introduced as one possible framing for future research on tablets as an educational technology....

Mobile Learning Practice In Higher Education in Nepal

Directory of Open Access Journals (Sweden)

Krishna Prasad Parajuli

2016-03-01

Full Text Available During the 15 years of this current century, mobile technology has become a leading technology in the support of educational outcomes. This study investigated the mobile learning practices among undergraduates in higher education in the semi-urban and rural areas of the Gorkha district of Nepal. The objectives were to explore the availability of mobile technology for learning; its costs; learning trends, institutional policies, and attitudes towards mobile learning. These factors were explored to identify implications for pedagogical practice. The study adopted a mixed methods design, in which the quantitative data were collected by using a questionnaire with a sample of 161 undergraduates from six campuses. The qualitative data were collected from 19 purposively selected respondents by the way of semi-structured interviews. The result indicated that virtually all undergraduates possessed their mobile phones and used them informally for learning both inside and outside of their classes. The majority of the students had positive attitudes towards mobile learning. However, many were not satisfied with the effectiveness of their practices or with the level of institutional support for using mobile devices to support their learning. Although comprehensive mobile learning is not widespread in Nepal, enriching conventional learning by the incremental use of mobile devices is possible in Nepalese institutes of higher education. I conclude that teachers and institutions should provide guidance to students about the effective uses of mobile technology because successful use of technology in learning largely depends on appropriate pedagogy and teacher support.

Methods for reducing interference in the Complementary Learning Systems model: oscillating inhibition and autonomous memory rehearsal.

Science.gov (United States)

Norman, Kenneth A; Newman, Ehren L; Perotte, Adler J

2005-11-01

The stability-plasticity problem (i.e. how the brain incorporates new information into its model of the world, while at the same time preserving existing knowledge) has been at the forefront of computational memory research for several decades. In this paper, we critically evaluate how well the Complementary Learning Systems theory of hippocampo-cortical interactions addresses the stability-plasticity problem. We identify two major challenges for the model: Finding a learning algorithm for cortex and hippocampus that enacts selective strengthening of weak memories, and selective punishment of competing memories; and preventing catastrophic forgetting in the case of non-stationary environments (i.e. when items are temporarily removed from the training set). We then discuss potential solutions to these problems: First, we describe a recently developed learning algorithm that leverages neural oscillations to find weak parts of memories (so they can be strengthened) and strong competitors (so they can be punished), and we show how this algorithm outperforms other learning algorithms (CPCA Hebbian learning and Leabra at memorizing overlapping patterns. Second, we describe how autonomous re-activation of memories (separately in cortex and hippocampus) during REM sleep, coupled with the oscillating learning algorithm, can reduce the rate of forgetting of input patterns that are no longer present in the environment. We then present a simple demonstration of how this process can prevent catastrophic interference in an AB-AC learning paradigm.

Autonomous Data Collection Using a Self-Organizing Map.

Science.gov (United States)

Faigl, Jan; Hollinger, Geoffrey A

2018-05-01

The self-organizing map (SOM) is an unsupervised learning technique providing a transformation of a high-dimensional input space into a lower dimensional output space. In this paper, we utilize the SOM for the traveling salesman problem (TSP) to develop a solution to autonomous data collection. Autonomous data collection requires gathering data from predeployed sensors by moving within a limited communication radius. We propose a new growing SOM that adapts the number of neurons during learning, which also allows our approach to apply in cases where some sensors can be ignored due to a lower priority. Based on a comparison with available combinatorial heuristic algorithms for relevant variants of the TSP, the proposed approach demonstrates improved results, while also being less computationally demanding. Moreover, the proposed learning procedure can be extended to cases where particular sensors have varying communication radii, and it can also be extended to multivehicle planning.

Higher Education Distance Learning and e-Learning in Prisons in Portugal

Science.gov (United States)

Moreira, José-António; Reis-Monteiro, Angélica; Machado, Ana

2017-01-01

Higher Education in Europe has undergone massive changes due to technological advancements and adjustments resulting from the Bologna Process, by which learning should be accessible for all regardless of social exclusion reasons, such as imprisonment. The resulting massification of access to Higher Education requires flexible and inclusive…

THE IMPACTS OF SOCIAL NETWORKING SITES IN HIGHER LEARNING

Directory of Open Access Journals (Sweden)

Mohd Ishak Bin Ismail

2016-02-01

Full Text Available Social networking sites, a web-based application have permeated the boundary between personal lives and student lives. Nowadays, students in higher learning used social networking site such as Facebook to facilitate their learning through the academic collaboration which it further enhances students’ social capital. Social networking site has many advantages to improve students’ learning. To date, Facebook is the leading social networking sites at this time which it being widely used by students in higher learning to communicate to each other, to carry out academic collaboration and sharing resources. Learning through social networking sites is based on the social interaction which learning are emphasizing on students, real world resources, active students` participation, diversity of learning resources and the use of digital tools to deliver meaningful learning. Many studies found the positive, neutral and negative impact of social networking sites on academic performance. Thus, this study will determine the relationship between Facebook usage and academic achievement. Also, it will investigate the association of social capital and academic collaboration to Facebook usage.

Learning Agents for Autonomous Space Asset Management (LAASAM)

Science.gov (United States)

Scally, L.; Bonato, M.; Crowder, J.

2011-09-01

Current and future space systems will continue to grow in complexity and capabilities, creating a formidable challenge to monitor, maintain, and utilize these systems and manage their growing network of space and related ground-based assets. Integrated System Health Management (ISHM), and in particular, Condition-Based System Health Management (CBHM), is the ability to manage and maintain a system using dynamic real-time data to prioritize, optimize, maintain, and allocate resources. CBHM entails the maintenance of systems and equipment based on an assessment of current and projected conditions (situational and health related conditions). A complete, modern CBHM system comprises a number of functional capabilities: sensing and data acquisition; signal processing; conditioning and health assessment; diagnostics and prognostics; and decision reasoning. In addition, an intelligent Human System Interface (HSI) is required to provide the user/analyst with relevant context-sensitive information, the system condition, and its effect on overall situational awareness of space (and related) assets. Colorado Engineering, Inc. (CEI) and Raytheon are investigating and designing an Intelligent Information Agent Architecture that will provide a complete range of CBHM and HSI functionality from data collection through recommendations for specific actions. The research leverages CEI’s expertise with provisioning management network architectures and Raytheon’s extensive experience with learning agents to define a system to autonomously manage a complex network of current and future space-based assets to optimize their utilization.

Assessing Higher Education Learning Outcomes in Brazil

Science.gov (United States)

Pedrosa, Renato H. L.; Amaral, Eliana; Knobel, Marcelo

2013-01-01

Brazil has developed an encompassing system for quality assessment of higher education, the National System of Higher Education Evaluation (SINAES), which includes a test for assessing learning outcomes at the undergraduate level, the National Exam of Student Performance (ENADE). The present system has been running since 2004, and also serves as…

Are Higher Education Institutions Prepared for Learning Analytics?

Science.gov (United States)

Ifenthaler, Dirk

2017-01-01

Higher education institutions and involved stakeholders can derive multiple benefits from learning analytics by using different data analytics strategies to produce summative, real-time, and predictive insights and recommendations. However, are institutions and academic as well as administrative staff prepared for learning analytics? A learning…

Ubiquitous Learning Environments in Higher Education: A Scoping Literature Review

Science.gov (United States)

Virtanen, Mari Aulikki; Haavisto, Elina; Liikanen, Eeva; Kääriäinen, Maria

2018-01-01

Ubiquitous learning and the use of ubiquitous learning environments heralds a new era in higher education. Ubiquitous learning environments enhance context-aware and seamless learning experiences available from any location at any time. They support smooth interaction between authentic and digital learning resources and provide personalized…

Field dose radiation determination by active learning with Gaussian Process for autonomous robot guiding

International Nuclear Information System (INIS)

Freitas Naiff, Danilo de; Silveira, Paulo R.; Pereira, Claudio M.N.A.

2017-01-01

This article proposes an approach for determination of radiation dose pro le in a radiation-susceptible environment, aiming to guide an autonomous robot in acting on those environments, reducing the human exposure to dangerous amount of dose. The approach consists of an active learning method based on information entropy reduction, using log-normally warped Gaussian Process (GP) as surrogate model, resulting in non-linear online regression with sequential measurements. Experiments with simulated radiation dose fields of varying complexity were made, and results showed that the approach was effective in reconstruct the eld with high accuracy, through relatively few measurements. The technique was also shown some robustness in presence measurement noise, present in real measurements, by assuming Gaussian noise. (author)

Field dose radiation determination by active learning with Gaussian Process for autonomous robot guiding

Energy Technology Data Exchange (ETDEWEB)

Freitas Naiff, Danilo de; Silveira, Paulo R.; Pereira, Claudio M.N.A., E-mail: danilonai1992@poli.ufrj.br, E-mail: paulo@lmp.ufrj.br, E-mail: cmnap@ien.gov.br [Coordenacao de Pos-Graduacao e Pesquisa de Engenharia (PEN/COPPE/UFRJ), Rio de Janeiro, RJ (Brazil); Instituto de Engenharia Nuclear (IEN/CNEN-RJ), Rio de Janeiro, RJ (Brazil)

2017-11-01

This article proposes an approach for determination of radiation dose pro le in a radiation-susceptible environment, aiming to guide an autonomous robot in acting on those environments, reducing the human exposure to dangerous amount of dose. The approach consists of an active learning method based on information entropy reduction, using log-normally warped Gaussian Process (GP) as surrogate model, resulting in non-linear online regression with sequential measurements. Experiments with simulated radiation dose fields of varying complexity were made, and results showed that the approach was effective in reconstruct the eld with high accuracy, through relatively few measurements. The technique was also shown some robustness in presence measurement noise, present in real measurements, by assuming Gaussian noise. (author)

Implementation of Collaborative Learning in Higher Education Environment

OpenAIRE

Soetam Rizky Wicaksono

2013-01-01

The need of improvement in learning process, especially in higher education environment, has already begun a dilemma for many lecturers. Many experts has already agreed that one of the success factor in learning process improvement is creating collaboration among students. This pre-eliminary action research tried to implement collaborative learning from small groups using simple task and escalating into large group with more complicated collaborative framework. Although there is no quantific...

‘Take your time’ to ‘find yourself!’: an exploration of scaffolded autonomous e-learning environments amongst international students in a UK university

OpenAIRE

Meri-Yilan, Serpil

2017-01-01

Over the previous decade, there has been an increase in using and undertaking research on elearning (Aparicio, Bacao & Oliveira, 2016). In particular, learning in autonomous, self-directed elearning environments has been of interest to educational organisations, institutions and designers, with the aim of enabling learners to improve their learning on their own in such environments. However, as learners are increasingly isolated and working without any humanbased support (Zembylas, Theoro...

Moving towards Virtual Learning Clouds from Traditional Learning: Higher Educational Systems in India

Directory of Open Access Journals (Sweden)

Vasanthi Muniasamy

2014-10-01

Full Text Available E-Learning has become an increasingly popular learning approach in higher Education institutions due to the rapid growth of Communication and Information Technology (CIT. In recent years, it has been integrated in many university programs and it is one of the new learning trends. But in many Indian Universities did not implement this novel technology in their Educational Systems. E-Learning is not intended to replace the traditional classroom setting, but to provide new opportunities and new virtual environment for interaction and communication between the students and teacher. E-Learning through Cloud is now becoming an interesting and very useful revolutionary technology in the field of education. E-Learning system usually requires huge amount of hardware and software resources. Due to the cost, many universities in India do not want to implement the E-Learning technology in their Educational system and they cannot afford such investments. Cloud Virtual Learning is the only solution for this problem. This paper presents the benefits of using cloud technology in E-Learning system, working mode, Services, Models. And also we discuss the cloud computing educational environment and how higher education may take advantage of clouds not only in terms of cost but also in terms of Security, flexibility, portability, efficiency and reliability. And also we present some educational clouds introduced by popular cloud providers.

Evaluating a learning management system for blended learning in Greek higher education.

Science.gov (United States)

Kabassi, Katerina; Dragonas, Ioannis; Ntouzevits, Alexandra; Pomonis, Tzanetos; Papastathopoulos, Giorgos; Vozaitis, Yiannis

2016-01-01

This paper focuses on the usage of a learning management system in an educational institution for higher education in Greece. More specifically, the paper examines the literature on the use of different learning management systems for blended learning in higher education in Greek Universities and Technological Educational Institutions and reviews the advantages and disadvantages. Moreover, the paper describes the usage of the Open eClass platform in a Technological Educational Institution, TEI of Ionian Islands, and the effort to improve the educational material by organizing it and adding video-lectures. The platform has been evaluated by the students of the TEI of Ionian Islands based on six dimensions: namely student, teacher, course, technology, system design, and environmental dimension. The results of this evaluation revealed that Open eClass has been successfully used for blended learning in the TEI of Ionian Islands. Despite the instructors' initial worries about students' lack of participation in their courses if their educational material was made available online and especially in video lectures; blended learning did not reduce physical presence of the students in the classroom. Instead it was only used as a supplementary tool that helps students to study further, watch missed lectures, etc.

Combining Service and Learning in Higher Education

National Research Council Canada - National Science Library

Gray, Maryann

1999-01-01

.... Hundreds of college and university presidents, most of the major higher education associations, and a number of highly influential scholars actively support the development of service-learning...

Social Networks as Learning Environments for Higher Education

Directory of Open Access Journals (Sweden)

J.A.Cortés

2014-09-01

Full Text Available Learning is considered as a social activity, a student does not learn only of the teacher and the textbook or only in the classroom, learn also from many other agents related to the media, peers and society in general. And since the explosion of the Internet, the information is within the reach of everyone, is there where the main area of opportunity in new technologies applied to education, as well as taking advantage of recent socialization trends that can be leveraged to improve not only informing of their daily practices, but rather as a tool that explore different branches of education research. One can foresee the future of higher education as a social learning environment, open and collaborative, where people construct knowledge in interaction with others, in a comprehensive manner. The mobility and ubiquity that provide mobile devices enable the connection from anywhere and at any time. In modern educational environments can be expected to facilitate mobile devices in the classroom expansion in digital environments, so that students and teachers can build the teaching-learning process collectively, this partial derivative results in the development of draft research approved by the CONADI in “Universidad Cooperativa de Colombia”, "Social Networks: A teaching strategy in learning environments in higher education."

E ‑learning in Higher Education

Directory of Open Access Journals (Sweden)

Dorota Górska

2016-09-01

Full Text Available The vast use of the Internet and the increasingly widespread access to the latest technologies have become the main reason for the development of remote teaching services. In an effort to modernize the educational offer, higher education institutions placed, in their programs of studies, different possibilities of teaching using „distance learning”. This trend is already very common in the world’s largest universities. The Polish higher education system, keeping the pace with current trends, has created a legal foundation for the use of modern forms of teaching. The current approach to teaching is also a response to the offer of leading universities of the world and thus the search for competitive advantage in the international educational market. The aim of the article is to present main objectives of the teaching method of e ‑learning, and at the same time, to present the legal status and the rules for the use of e ‑learning in Polish higher education. The article is based on the experience of such teaching introduced at the Pontifical University of John Paul II in Krakow.

Maximizing flexibility and learning; using learning technology to improve course programs in higher education

OpenAIRE

Aasbrenn, Martin; Bingen, Hanne Maria

2009-01-01

ICDE 23rd World Conference. Including EADTU Annual Conference 7-10 June, 2009 The Netherlands, Maastricht MECC We propose a framework for development of course programs in higher education : Our vision is that all teaching in higher education should aim for maximal learning with maximal flexibility. Learning technology could be used to optimize this, implemented through continuous feedback from the students.

Mobile Intelligent Autonomous Systems

OpenAIRE

Jitendra R. Raol; Ajith Gopal

2010-01-01

Mobile intelligent autonomous systems (MIAS) is a fast emerging research area. Although it can be regarded as a general R&D area, it is mainly directed towards robotics. Several important subtopics within MIAS research are:(i) perception and reasoning, (ii) mobility and navigation,(iii) haptics and teleoperation, (iv) image fusion/computervision, (v) modelling of manipulators, (vi) hardware/software architectures for planning and behaviour learning leadingto robotic architecture, (vii) ve...

Professional Learning in Higher Education: Making Good Practice Relevant

Science.gov (United States)

Daniels, Jeannie

2017-01-01

Professionals working in a range of contexts are increasingly expected to engage in ongoing professional learning to maintain their skills and develop their practices. In this paper, I focus on professional learning in Higher Education and challenge the standardisation of professional learning that is becoming prevalent in a number of countries. I…

Investigating Effects of Problem-Based versus Lecture-Based Learning Environments on Student Motivation

Science.gov (United States)

Wijnia, Lisette; Loyens, Sofie M. M.; Derous, Eva

2011-01-01

This study examines the effects of two learning environments (i.e., problem-based learning [PBL] versus lecture-based [LB] environments) on undergraduates' study motivation. Survey results demonstrated that PBL students scored higher on competence but did not differ from LB students on autonomous motivation. Analyses of focus groups further…

Charting Teachers' Perspective on Utilizing Distance Learning in Higher Education

OpenAIRE

Ålander, Heidi; Karukka, Minna

2016-01-01

E-learning activities are likely to grow significantly and the area has potential to generate more possibilities for both teachers and students especially in higher education. It creates alternative ways to partake, tutor and utilize new learning environment. In this paper we present our on-going work on exploring current usage and attitudes towards using eLearning technologies in teaching. The aim was to investigate advantages, challenges and needs for support among teachers in higher educat...

E-Learning Concepts in Higher Education

DEFF Research Database (Denmark)

Sorensen, Elsebeth Korsgaard; Mathiasen, Helle; Dalsgaard, Christian

The main aim of the symposium is to investigate, at both a theoretical and practical level, the quality and sustainability of a variety of models and key concepts of how communication and collaborative e-learning communities may be successfully developed, implemented and supported in higher educa...... education contexts....

Internet Based Learning (IBL) in Higher Education: A Literature Review

Science.gov (United States)

Yadav, Rajan; Tiruwa, Anurag; Suri, Pradeep Kumar

2017-01-01

Purpose: The growing use of internet-based learning (IBL) platforms in institutions of higher education is producing profound changes in the traditional teaching learning process worldwide. This paper aims to identify and understand the ways in which higher education institutions draw benefits by the use of such means, synthesizing the literature…

Transformation of the System of Values of Autonomous Learning for English Acquisition in Blended E-Studies for Adults: A Holistic Fractal Model

Science.gov (United States)

Bojare, Inara; Skrinda, Astrida

2016-01-01

The present study is aimed at creating a holistic fractal model (HFM) of autonomous learning for English acquisition in a blended environment of e-studies in adult non-formal education on the basis of the theories and paradigms of philosophy, psychology and education for sustainable development to promote the development of adult learners'…

大學生選課自主性動機與學習投入之關係 The Relationship between Autonomous Motivation of Course-Taking and Learning Engagement on College Students

Directory of Open Access Journals (Sweden)

李宜玫 Yi-Mei Lee

2010-03-01

Full Text Available 本研究目的在檢視大學生選課動機對於學習投入的影響效果，凸顯自主性動機對於學習投入的積極效應與交互影響效果。以臺灣高等教育資料庫的問卷題項為基礎，先以九十四學年度（n＝24,581）大三學生選課動機檢驗大學生學習投入模式的適配度，進而分析比較外在資訊與自主性動機對學習投入的影響效果。此外，透過縱貫資料的交叉延宕分析，以九十二學年度的大一學生持續追蹤至九十四學年度的大三學生為受試對象（n＝18,387），分別探討自主性動機與外在資訊動機對於學習投入時間是否展現交互影響的效果。研究結果顯示：一、本研究之大學生學習投入模式與實證資料之間具良好的適配度。二、屬自主性動機的興趣、實用性與修課計畫等選課動機對學習投入有正向影響。三、屬外在資訊動機的及格、老師風評與修課時段等選課動機對學習投入有負向影響。四、縱貫資料顯示自主性動機與學習投入時間有正向的交互影響，相對地，僅大一學習投入時間對大三外在資訊動機為單向且負面的影響效果。綜而言之，自主性選課動機與學習投入在學習歷程中展現正向的良性循環；相對地，學習投入較差則會影響後續選課時採取更多外在資訊的評估，而更失去個人自主學習的目標與理想性，此二者可作為日後對大專院校學生學習輔導時，加強學生自主學習與生涯規劃之參考。 The purposes of this study were to explore the effects of courses-taking motivation to learning engagement on college students. And it was emphasized that there were positive and reciprocal relationships between autonomous motivation and learning engagement. Using the items of questionnaire data from “Integrated Higher Education Database System in Taiwan”, the study attempted to examine the goodness of

Making Learning and Web 2.0 Technologies Work for Higher Learning Institutions in Africa

Science.gov (United States)

Lwoga, Edda

2012-01-01

Purpose: This paper seeks to assess the extent to which learning and Web 2.0 technologies are utilised to support learning and teaching in Africa's higher learning institutions, with a specific focus on Tanzania's public universities. Design/methodology/approach: A combination of content analysis and semi-structured interviews was used to collect…

WORK BASED HIGHER LEARNING FOR THE DANISH TOURISM SECTOR

DEFF Research Database (Denmark)

Lindegaard, Klaus; Voergård-Olesen, Rikke Karen

2012-01-01

programs for tourism. This is the basis for reflexive analysis of how demand and supply for higher education can be aligned for the sector. The research focuses on the role of WBL as a way to meet the needs for flexible competence building. Special emphasis is put on innovation and environmental management......The paper reports on an investigation of the business needs for work based higher learning in the Danish tourism sector and the match with the supply of higher education, emphasizing opportunities and barriers for work based learning (WBL) in the Danish University System. The Danish tourism sector...... need for development through further and higher education of employees is widely recognized, while Danish higher education is challenged to develop a more demand-led approach. The research done consists of completed empirical studies and literature review on Danish tourism and Danish higher education...

Career learning and career learning environment in Dutch higher education

NARCIS (Netherlands)

Marinka Kuijpers; dr. Frans Meijers

2014-01-01

Purpose: The purpose of this paper is to focus on the effects of career development and guidance among students (age 17-23) enrolled in higher education in The Netherlands. First the paper explores whether the development of career competencies contribute to career identity, learning motivation,

Effect of Demographic Factors on E-Learning Effectiveness in a Higher Learning Institution in Malaysia

Science.gov (United States)

Islam, Md. Aminul; Rahim, Noor Asliza Abdul; Liang, Tan Chee; Momtaz, Hasina

2011-01-01

This research attempted to find out the effect of demographic factors on the effectiveness of the e-learning system in a higher learning Institution. The students from this institution were randomly selected in order to evaluate the effectiveness of learning system in student's learning process. The primary data source is the questionnaires that…

Collaborative learning in higher education : design, implementation and evaluation of group learning activities

NARCIS (Netherlands)

Hei, de M.S.A.

2016-01-01

In higher education, group learning activities (GLAs) are frequently implemented in online, blended or face-to-face educational contexts. A major problem for the design and implementation of good quality GLAs that lead to the desired learning outcomes is that many approaches to GLAs have been

Higher-order neural network software for distortion invariant object recognition

Science.gov (United States)

Reid, Max B.; Spirkovska, Lilly

1991-01-01

The state-of-the-art in pattern recognition for such applications as automatic target recognition and industrial robotic vision relies on digital image processing. We present a higher-order neural network model and software which performs the complete feature extraction-pattern classification paradigm required for automatic pattern recognition. Using a third-order neural network, we demonstrate complete, 100 percent accurate invariance to distortions of scale, position, and in-plate rotation. In a higher-order neural network, feature extraction is built into the network, and does not have to be learned. Only the relatively simple classification step must be learned. This is key to achieving very rapid training. The training set is much smaller than with standard neural network software because the higher-order network only has to be shown one view of each object to be learned, not every possible view. The software and graphical user interface run on any Sun workstation. Results of the use of the neural software in autonomous robotic vision systems are presented. Such a system could have extensive application in robotic manufacturing.

Lifelong Learning Competencies Development Program for Higher Education

Directory of Open Access Journals (Sweden)

Catalina Martinez-Mediano

2013-04-01

Full Text Available Introduction. Lifelong learning (LLL is an intentional learning that people engage in throughout their lives for personal and professional fulfillment and to improve the quality of their lives. Develop the capability for lifelong learning in Higher Education is important to facilitate the incorporation of new graduates to work. To this end, we have designed a program on "Lifelong learning competencies for Higher Education students', which we have applied to students at University of San Diego, California, USA and to the University of Distance Education, Spain. Methodology. We have presented the program by means a workshop where the debate and the reflection played one important strategy. To check the program’s achievements we used mixed methodologies, according to the evaluative research. We applied one questionnaire, and together to a practice and the students' personal portfolio, they enabled us to assess the program effectiveness, satisfaction and impact. Results. The comparison of the answers in the questionnaire, before and after of the workshops sing that students improved in their knowledge and awareness about the importance of LLL and key competencies for their profession development plan. Discussion. The program contributes to improve key competencies and commitment to learning throughout the people’s lives.

MOOCs, High Technology, and Higher Learning

Science.gov (United States)

Rhoads, Robert A.

2015-01-01

In "MOOCs, High Technology, and Higher Learning," Robert A. Rhoads places the OpenCourseWare (OCW) movement into the larger context of a revolution in educational technology. In doing so, he seeks to bring greater balance to increasingly polarized discussions of massively open online courses (MOOCs) and show their ongoing relevance to…

E-learning challenges faced by academics in higher education

OpenAIRE

Islam, Nurul; Beer, Martin; Slack, Frances

2015-01-01

E-learning has become a necessity in higher education institutions and is being deployed in educational establishments throughout the world. Researchers have made much emphasis on its benefits but not much is discussed on the disadvantages of e-learning technology. This paper references some of the research work on the limitations of e-learning technology, categorises it in five challenges that teachers are faced with and suggestions for a successful e-learning outcome. This paper also discus...

Enriching the hierarchical model of achievement motivation: autonomous and controlling reasons underlying achievement goals.

Science.gov (United States)

Michou, Aikaterini; Vansteenkiste, Maarten; Mouratidis, Athanasios; Lens, Willy

2014-12-01

The hierarchical model of achievement motivation presumes that achievement goals channel the achievement motives of need for achievement and fear of failure towards motivational outcomes. Yet, less is known whether autonomous and controlling reasons underlying the pursuit of achievement goals can serve as additional pathways between achievement motives and outcomes. We tested whether mastery approach, performance approach, and performance avoidance goals and their underlying autonomous and controlling reasons would jointly explain the relation between achievement motives (i.e., fear of failure and need for achievement) and learning strategies (Study 1). Additionally, we examined whether the autonomous and controlling reasons underlying learners' dominant achievement goal would account for the link between achievement motives and the educational outcomes of learning strategies and cheating (Study 2). Six hundred and six Greek adolescent students (Mage = 15.05, SD = 1.43) and 435 university students (Mage M = 20.51, SD = 2.80) participated in studies 1 and 2, respectively. In both studies, a correlational design was used and the hypotheses were tested via path modelling. Autonomous and controlling reasons underlying the pursuit of achievement goals mediated, respectively, the relation of need for achievement and fear of failure to aspects of learning outcomes. Autonomous and controlling reasons underlying achievement goals could further explain learners' functioning in achievement settings. © 2014 The British Psychological Society.

The relationship between autonomous motivation and autonomy support in medical students' academic achievement.

Science.gov (United States)

Feri, Rose; Soemantri, Diantha; Jusuf, Anwar

2016-12-29

This study applied self-determination theory (SDT) to investigate the relationship between students' autonomous motivation and tutors' autonomy support in medical students' academic achievement. This was a cross-sectional study. Out of 204 students in a fundamental medical science course, 199 participated in the study. Data was collected using two questionnaires: the Learning Self-Regulation and Learning Climate Questionnaires. The score of the course assessment was the measure of academic achievement. Data was analyzed and reported with descriptive and inferential statistics (mean, standard deviation and multiple regression analysis). Mean score (±standard deviation) of the autonomous motivation, tutors' autonomy support, and academic achievement were 5.48±0.89, 5.22±0.92, and 5.22±0.92. Multiple regression results reported students' autonomous motivation was associated with improvement of students' academic achievement (β=15.2, p=0.004). However, augmentation of tutors' autonomy support was not reflected in the improvement of students' academic achievement (β = -12.6, p = 0.019). Both students' autonomous motivation and tutors' autonomy support had a contribution of about 4.2% students' academic achievement (F = 4.343, p = 0.014, R 2 = 0.042). Due to the unique characteristic of our medical students' educational background, our study shows that tutors' autonomy support is inconsistent with students' academic achievement. However, both autonomous motivation and support are essential to students' academic achievement. Further study is needed to explore students' educational background and self-regulated learning competence to improve students' academic achievement.

Career learning and career learning environment in Dutch higher education

NARCIS (Netherlands)

Meijers, Frans; Kuijpers, Marinka

2018-01-01

Purpose – The purpose of this paper is to focus on the effects of career development and guidance among students (age 17-23) enrolled in higher education in The Netherlands. First the paper explores whether the development of career competencies contribute to career identity, learning motivation,

Virtual Communities of Collaborative Learning for Higher Education

Directory of Open Access Journals (Sweden)

Gilda E. Sotomayor

2014-11-01

Full Text Available This article aims to outline and project three new learning scenarios for Higher Education that, after the emergence of ICT and communication through the Network-lnternet, have come under the generic name of virtual communities. To that end, we start from a previous conceptual analysis on collaborative learning, cooperative learning and related concepts taking place in these communities and serving as a basis for sorting them into three types in particular: communities of educational work of professional practice and scientific knowledge. Virtual communities where the activities undertaken and skills acquired are set as important parts of our personal learning development, wich are necessary to build the Knowledge Society.

Perceptions of Career Development Learning and Work-Integrated Learning in Australian Higher Education

Science.gov (United States)

McIlveen, Peter; Brooks, Sally; Lichtenberg, Anna; Smith, Martin; Torjul, Peter; Tyler, Joanne

2011-01-01

This paper is a report on the perceived correspondence between career development learning and work-integrated learning programs that were delivered by career services in Australian higher education institutions. The study entailed a questionnaire survey of representatives of university career services. The questionnaire dealt with the extent to…

Effect of Sleep/Wake Cycle on Autonomic Regulation

International Nuclear Information System (INIS)

Jabeen, S.

2015-01-01

Objective: To evaluate the association between irregular sleep/wake cycle in shift workers and autonomic regulation. Study Design: Cross-sectional, analytical study. Place and Duration of Study: Dow University Hospital, Karachi, from August to November 2013. Methodology: All health care providers working in rotating shifts making a total (n=104) were included. Instrument was an integrated questionnaire applied to assess autonomic regulation, taken from Kroz et al. on scoring criteria, ranging from 18 - 54, where higher rating signifies strong autonomic regulation, indicating a stable Autonomic Nervous System (ANS) and vice versa. Participants were interviewed and their response was recorded by the investigator. Influence of sleep misalignment was measured quantitatively to extract index of autonomic activity. Results: There was a reduced trend in autonomic strength amongst shift workers. The mean score obtained on the Autonomic Scale was 37.8 ± 5.9. Conclusion: Circadian misalignment has an injurious influence on ANS which might be valuable in controlling autonomic dysfunction that leads to fatal triggers in rotating shift workers. (author)

Higher-order thinking in foreign language learning

OpenAIRE

Bastos, Ascensão; Ramos, Altina

2017-01-01

A project is being conducted in English as a foreign language (EFL), involving eleventh graders in formal and non-formal learning contexts, in a Portuguese high school. The goal of this study is to examine the impact of cognitive tools and higher-order thinking processes on the learning of EFL and achievement of larger processes oriented to action, involving problem solving, decision-making and creation of new products. YouTube videos emerge as cognitive tools in the process. Final results sh...

knowledge management practices in higher learning institutions

African Journals Online (AJOL)

user

Knowledge Management (KM) Practices in Institutions of Higher Learning in .... quality and skills to cope with the labour market demands. .... Total. 44. 100.0. Source: Field Data (2012/13). Staff's Level of Awareness of Knowledge Management.

The e-Generation: The Use of Technology for Foreign Language Learning

Science.gov (United States)

Gonzalez-Vera, Pilar

2016-01-01

After the Bologna Process, European Higher Education was reformulated as a response to a change of roles in higher education in a globalised society. The implementation of a new system of credits, the European Credit Transfer System (ECTS), implied an enormous increase of autonomous learning hours. The high percentage of student workload reflected…

Does peer learning or higher levels of e-learning improve learning abilities? A randomized controlled trial.

Science.gov (United States)

Worm, Bjarne Skjødt; Jensen, Kenneth

2013-01-01

Background and aims The fast development of e-learning and social forums demands us to update our understanding of e-learning and peer learning. We aimed to investigate if higher, pre-defined levels of e-learning or social interaction in web forums improved students' learning ability. Methods One hundred and twenty Danish medical students were randomized to six groups all with 20 students (eCases level 1, eCases level 2, eCases level 2+, eTextbook level 1, eTextbook level 2, and eTextbook level 2+). All students participated in a pre-test, Group 1 participated in an interactive case-based e-learning program, while Group 2 was presented with textbook material electronically. The 2+ groups were able to discuss the material between themselves in a web forum. The subject was head injury and associated treatment and observation guidelines in the emergency room. Following the e-learning, all students completed a post-test. Pre- and post-tests both consisted of 25 questions randomly chosen from a pool of 50 different questions. Results All students concluded the study with comparable pre-test results. Students at Level 2 (in both groups) improved statistically significant compared to students at level 1 (p>0.05). There was no statistically significant difference between level 2 and level 2+. However, level 2+ was associated with statistically significant greater student's satisfaction than the rest of the students (p>0.05). Conclusions This study applies a new way of comparing different types of e-learning using a pre-defined level division and the possibility of peer learning. Our findings show that higher levels of e-learning does in fact provide better results when compared with the same type of e-learning at lower levels. While social interaction in web forums increase student satisfaction, learning ability does not seem to change. Both findings are relevant when designing new e-learning materials.

Does peer learning or higher levels of e-learning improve learning abilities? A randomized controlled trial

Science.gov (United States)

Worm, Bjarne Skjødt; Jensen, Kenneth

2013-01-01

Background and aims The fast development of e-learning and social forums demands us to update our understanding of e-learning and peer learning. We aimed to investigate if higher, pre-defined levels of e-learning or social interaction in web forums improved students’ learning ability. Methods One hundred and twenty Danish medical students were randomized to six groups all with 20 students (eCases level 1, eCases level 2, eCases level 2+, eTextbook level 1, eTextbook level 2, and eTextbook level 2+). All students participated in a pre-test, Group 1 participated in an interactive case-based e-learning program, while Group 2 was presented with textbook material electronically. The 2+ groups were able to discuss the material between themselves in a web forum. The subject was head injury and associated treatment and observation guidelines in the emergency room. Following the e-learning, all students completed a post-test. Pre- and post-tests both consisted of 25 questions randomly chosen from a pool of 50 different questions. Results All students concluded the study with comparable pre-test results. Students at Level 2 (in both groups) improved statistically significant compared to students at level 1 (p>0.05). There was no statistically significant difference between level 2 and level 2+. However, level 2+ was associated with statistically significant greater student's satisfaction than the rest of the students (p>0.05). Conclusions This study applies a new way of comparing different types of e-learning using a pre-defined level division and the possibility of peer learning. Our findings show that higher levels of e-learning does in fact provide better results when compared with the same type of e-learning at lower levels. While social interaction in web forums increase student satisfaction, learning ability does not seem to change. Both findings are relevant when designing new e-learning materials. PMID:24229729

Does peer learning or higher levels of e-learning improve learning abilities? A randomized controlled trial

Directory of Open Access Journals (Sweden)

Bjarne Skjødt Worm

2013-11-01

Full Text Available Background and aims : The fast development of e-learning and social forums demands us to update our understanding of e-learning and peer learning. We aimed to investigate if higher, pre-defined levels of e-learning or social interaction in web forums improved students’ learning ability. Methods : One hundred and twenty Danish medical students were randomized to six groups all with 20 students (eCases level 1, eCases level 2, eCases level 2+, eTextbook level 1, eTextbook level 2, and eTextbook level 2+. All students participated in a pre-test, Group 1 participated in an interactive case-based e-learning program, while Group 2 was presented with textbook material electronically. The 2+ groups were able to discuss the material between themselves in a web forum. The subject was head injury and associated treatment and observation guidelines in the emergency room. Following the e-learning, all students completed a post-test. Pre- and post-tests both consisted of 25 questions randomly chosen from a pool of 50 different questions. Results : All students concluded the study with comparable pre-test results. Students at Level 2 (in both groups improved statistically significant compared to students at level 1 (p>0.05. There was no statistically significant difference between level 2 and level 2+. However, level 2+ was associated with statistically significant greater student's satisfaction than the rest of the students (p>0.05. Conclusions : This study applies a new way of comparing different types of e-learning using a pre-defined level division and the possibility of peer learning. Our findings show that higher levels of e-learning does in fact provide better results when compared with the same type of e-learning at lower levels. While social interaction in web forums increase student satisfaction, learning ability does not seem to change. Both findings are relevant when designing new e-learning materials.

TBAL: Technology-Based Active Learning in Higher Education

Science.gov (United States)

Ghilay, Yaron; Ghilay, Ruth

2015-01-01

In many institutions of higher education worldwide, faculty members manage lessons based on information transfer whereas their students become passive listeners. According to international research, passive learning has disadvantages mainly because students do not engage in the lesson. The study introduces a new model for higher education called…

Learning from the Field: Innovating China's Higher Education System

International Development Research Centre (IDRC) Digital Library (Canada)

2008-04-15

Apr 15, 2008 ... Learning from the Field: Innovating China's Higher Education System ... to translating China's higher education policy reforms into practice. The editors. Ronnie Vernooy is Senior Program Specialist, International Development ...

Using Social Networks to Enhance Teaching and Learning Experiences in Higher Learning Institutions

Science.gov (United States)

Balakrishnan, Vimala

2014-01-01

The paper first explores the factors that affect the use of social networks to enhance teaching and learning experiences among students and lecturers, using structured questionnaires prepared based on the Push-Pull-Mooring framework. A total of 455 students and lecturers from higher learning institutions in Malaysia participated in this study.…

Employability and work-related learning activities in higher education

DEFF Research Database (Denmark)

Magnell, Marie; Kolmos, Anette

2017-01-01

The focus of this paper is on how academic staff perceive their roles and responsibilities regarding work-related learning, and how they approach and implement work-related learning activities in curricula across academic environments in higher education. The study is based on case studies...

Sex differences in autonomic function following maximal exercise.

Science.gov (United States)

Kappus, Rebecca M; Ranadive, Sushant M; Yan, Huimin; Lane-Cordova, Abbi D; Cook, Marc D; Sun, Peng; Harvey, I Shevon; Wilund, Kenneth R; Woods, Jeffrey A; Fernhall, Bo

2015-01-01

Heart rate variability (HRV), blood pressure variability, (BPV) and heart rate recovery (HRR) are measures that provide insight regarding autonomic function. Maximal exercise can affect autonomic function, and it is unknown if there are sex differences in autonomic recovery following exercise. Therefore, the purpose of this study was to determine sex differences in several measures of autonomic function and the response following maximal exercise. Seventy-one (31 males and 40 females) healthy, nonsmoking, sedentary normotensive subjects between the ages of 18 and 35 underwent measurements of HRV and BPV at rest and following a maximal exercise bout. HRR was measured at minute one and two following maximal exercise. Males have significantly greater HRR following maximal exercise at both minute one and two; however, the significance between sexes was eliminated when controlling for VO2 peak. Males had significantly higher resting BPV-low-frequency (LF) values compared to females and did not significantly change following exercise, whereas females had significantly increased BPV-LF values following acute maximal exercise. Although males and females exhibited a significant decrease in both HRV-LF and HRV-high frequency (HF) with exercise, females had significantly higher HRV-HF values following exercise. Males had a significantly higher HRV-LF/HF ratio at rest; however, both males and females significantly increased their HRV-LF/HF ratio following exercise. Pre-menopausal females exhibit a cardioprotective autonomic profile compared to age-matched males due to lower resting sympathetic activity and faster vagal reactivation following maximal exercise. Acute maximal exercise is a sufficient autonomic stressor to demonstrate sex differences in the critical post-exercise recovery period.

Higher Education Civic Learning and Engagement: A Massachusetts Case Study. Promising Practices

Science.gov (United States)

Brennan, Jan

2017-01-01

This Promising Practices report explores the civic learning and engagement efforts of Massachusetts' public higher education system in five areas: vision of Preparing Citizens as a core educational commitment, development of a state higher education Policy on Civic Learning, creation of civic engagement and service-learning course designations,…

Barriers and Strategies on Adoption of E-Learning in Tanzanian Higher Learning Institutions: Lessons for Adopters

Science.gov (United States)

Kisanga, Dalton; Ireson, Gren

2015-01-01

Tanzanian Higher learning institutions (HLIs) are faced with challenges of adopting e-learning in education. This study involved experts in e-learning to examine barriers of adopting e-learning and the best strategies to address them. Data were gathered from a series of semi-structured interviews with e-learning experts from two HLIs in Tanzania.…

Autonomy support environment and autonomous motivation on nursing student academic performance: An exploratory analysis.

Science.gov (United States)

Bronson, Sevilla

2016-09-01

In the U.S., enrollment and graduation rates of baccalaureate nursing programs are slowly increasing. Rigorous program requirements can be overwhelming for students who may have difficulty adjusting to curriculum demands. Faculty who help students to adjust may also build a supportive learning environment that promotes autonomous motivation, improves engagement, and strengthens academic performance. Students may also experience well-being and autonomy when they feel supported and when their needs are met. The aim of this study was to investigate nursing students' autonomy support environments and autonomous motivation (measured as spirituality), and the influence on engagement and academic performance. A cross-sectional correlational design using a convenience sample of 150 nursing students in the last year of a baccalaureate nursing program was used. Participants were recruited from four universities in Florida and data collection occurred over three months. All participants were enrolled in the last year of their baccalaureate nursing program with an average Grade Point Average (GPA) of 3.36. The learning climate alone was moderately supportive of student motivation (M=70.60, SD=18.99). No significant relationship between the autonomy support environment and autonomous motivation (r=.034, p=.676) was found. Correlations and regression analysis of autonomous motivation and work engagement were significant (F (2, 147)=28.28, p=.000). Comparison of participant groups from each university independently revealed supportive learning environments. Strategies to promote autonomy must be developed and implemented as a means of ensuring a favorable learning environment. Future research may include the investigation of spirituality and autonomous motivation as two separate variables. Copyright © 2016 Elsevier Ltd. All rights reserved.

Outcomes-Based Collaborative Teaching and Learning in Asian Higher Education

Science.gov (United States)

van Schalkwyk, Gertina J.

2015-01-01

This chapter explores the background and development of outcomes-based collaborative teaching and learning, and provides guidance for writing learning outcomes and engaging students in the Asian higher education context.

Autonomous Segmentation of Outcrop Images Using Computer Vision and Machine Learning

Science.gov (United States)

Francis, R.; McIsaac, K.; Osinski, G. R.; Thompson, D. R.

2013-12-01

As planetary exploration missions become increasingly complex and capable, the motivation grows for improved autonomous science. New capabilities for onboard science data analysis may relieve radio-link data limits and provide greater throughput of scientific information. Adaptive data acquisition, storage and downlink may ultimately hold implications for mission design and operations. For surface missions, geology remains an essential focus, and the investigation of in place, exposed geological materials provides the greatest scientific insight and context for the formation and history of planetary materials and processes. The goal of this research program is to develop techniques for autonomous segmentation of images of rock outcrops. Recognition of the relationships between different geological units is the first step in mapping and interpreting a geological setting. Applications of automatic segmentation include instrument placement and targeting and data triage for downlink. Here, we report on the development of a new technique in which a photograph of a rock outcrop is processed by several elementary image processing techniques, generating a feature space which can be interrogated and classified. A distance metric learning technique (Multiclass Discriminant Analysis, or MDA) is tested as a means of finding the best numerical representation of the feature space. MDA produces a linear transformation that maximizes the separation between data points from different geological units. This ';training step' is completed on one or more images from a given locality. Then we apply the same transformation to improve the segmentation of new scenes containing similar materials to those used for training. The technique was tested using imagery from Mars analogue settings at the Cima volcanic flows in the Mojave Desert, California; impact breccias from the Sudbury impact structure in Ontario, Canada; and an outcrop showing embedded mineral veins in Gale Crater on Mars

Developing an Understanding of Higher Education Science and Engineering Learning Communities

Science.gov (United States)

Coll, Richard K.; Eames, Chris

2008-01-01

This article sets the scene for this special issue of "Research in Science & Technological Education", dedicated to understanding higher education science and engineering learning communities. We examine what the literature has to say about the nature of, and factors influencing, higher education learning communities. A discussion of…

E-Learning in Higher Education--Opportunities & Challenges for Dubai

Science.gov (United States)

Gokah, Theophilus K.; Gupta, Namrata; Ndiweni, Esinath

2015-01-01

E-Learning is becoming a popular delivery method across various universities and colleges in Dubai as the region is experiencing a rapid growth of e-Learning in higher education. Adequate infrastructure, changes in demographic profile, globalization, government initiatives, outsourcing and increasing demand for IT knowledge based jobs are the…

The relationship between autonomous motivation and autonomy support in medical students’ academic achievement

Science.gov (United States)

Soemantri, Diantha; Jusuf, Anwar

2016-01-01

Objectives This study applied self-determination theory (SDT) to investigate the relationship between students’ autonomous motivation and tutors’ autonomy support in medical students’ academic achievement. Methods This was a cross-sectional study. Out of 204 students in a fundamental medical science course, 199 participated in the study. Data was collected using two questionnaires: the Learning Self-Regulation and Learning Climate Questionnaires. The score of the course assessment was the measure of academic achievement. Data was analyzed and reported with descriptive and inferential statistics (mean, standard deviation and multiple regression analysis).  Results Mean score (±standard deviation) of the autonomous motivation, tutors’ autonomy support, and academic achievement were 5.48±0.89, 5.22±0.92, and 5.22±0.92. Multiple regression results reported students’ autonomous motivation was associated with improvement of students’ academic achievement (β=15.2, p=0.004). However, augmentation of tutors’ autonomy support was not reflected in the improvement of students’ academic achievement (β = -12.6, p = 0.019). Both students’ autonomous motivation and tutors’ autonomy support had a contribution of about 4.2% students’ academic achievement (F = 4.343, p = 0.014, R2 = 0.042). Conclusions Due to the unique characteristic of our medical students’ educational background, our study shows that tutors’ autonomy support is inconsistent with students’ academic achievement. However, both autonomous motivation and support are essential to students’ academic achievement. Further study is needed to explore students’ educational background and self-regulated learning competence to improve students’ academic achievement.               PMID:28035054

THE IMPACTS OF SOCIAL NETWORKING SITES IN HIGHER LEARNING

OpenAIRE

Mohd Ishak Bin Ismail; Ruzaini Bin Abdullah Arshah

2016-01-01

Social networking sites, a web-based application have permeated the boundary between personal lives and student lives. Nowadays, students in higher learning used social networking site such as Facebook to facilitate their learning through the academic collaboration which it further enhances students’ social capital. Social networking site has many advantages to improve students’ learning. To date, Facebook is the leading social networking sites at this time which it being widely used by stude...

Using Webquest in Learning Grammar: Students' Perceptions in Higher Education

Science.gov (United States)

Irzawati, Ira

2013-01-01

Webquest is an internet based learning tool that can be used by students in learning English. This study investigates students' perceptions about the use of Webquest to support learning grammar in Higher Education. Seventy-two of second semester students were involved as participants in this study. Questionnaire and interview were used to collect…

Analysing Information Systems Security In Higher Learning Institutions Of Uganda

OpenAIRE

Mugyenyi Raymond

2017-01-01

Information communication technology has increased globalisation in higher learning institution all over the world. This has been achieved through introduction of systems that ease operations related to information handling in the institutions. The paper assessed and analysed the information systems security performance status in higher learning institutions of Uganda. The existing policies that govern the information security have also been analysed together with the current status of inform...

Storytelling in the digital world: achieving higher-level learning objectives.

Science.gov (United States)

Schwartz, Melissa R

2012-01-01

Nursing students are not passive media consumers but instead live in a technology ecosystem where digital is the language they speak. To prepare the next generation of nurses, educators must incorporate multiple technologies to improve higher-order learning. The author discusses the evolution and use of storytelling as part of the digital world and how digital stories can be aligned with Bloom's Taxonomy so that students achieve higher-level learning objectives.

Adaptive Visual Face Tracking for an Autonomous Robot

NARCIS (Netherlands)

van Hoof, Herke; van der Zant, Tijn; Wiering, Marco

2011-01-01

Perception is an essential ability for autonomous robots in non-standardized conditions. However, the appearance of objects can change between different conditions. A system visually tracking a target based on its appearance could lose its target in those cases. A tracker learning the appearance of

F-18-FDG-PET in autonomous goiter

International Nuclear Information System (INIS)

Boerner, A.R.; Voth, E.; Schicha, H.

1999-01-01

Aim: Gain-of-function mutations of the thyrotropin receptor (TSHR) gene have been invoked as one of the major causes of toxic thyroid adenomas. This study evaluates F-18-FDG-PET in these patients. Methods: Twenty patients with focal autonomous nodules and ten with disseminated autonomy were investigated the day before radioiodine therapy. Twenty patients with cancer of the head or neck and normal thyroid function served as controls. Results: F-18-FDG-Uptake was higher in patients than in controls. Focal autonomous nodules were associated with focally enhanced glucose metabolism. Disseminated autonomous goiters showed various patterns of focal or global hypermetabolism. Conclusion: Autonomous thyroid tissue caused by constitutive mutations of the TSH receptor is characterised by simultaneous increases in glucose and iodine metabolism which are correlated. (orig.) [de

Students' profile as autonomous learners in an Internet-based EAP course

Directory of Open Access Journals (Sweden)

Antonia Soler Cervera

2005-04-01

Full Text Available This study aims to find out to what extent university students are able to develop learner autonomy through an EAP course delivered through the Internet. The course, oriented to the use of Internet resources for language learning, was designed specifically to foster learner autonomy. Based on a previous exploratory study (Arnó et al. 2003, this research seeks to refine the profile of the autonomous learner initially developed and to discover which specific actions and attitudes related to learner autonomy are found in students’ behaviour. Thus, combining qualitative and quantitative methods, we carried out an analysis of the autonomous behaviour displayed by students when using different Internet resources through activities designed to foster learner autonomy. This study has allowed us to outline the profile of autonomous learners in a virtual classroom, with students who are able to take the initiative and make decisions on the organization and management of their learning process. Focusing on the connection between making the most of the Internet and developing students’ autonomy, our ultimate aim is to point to ways in which students may be encouraged to become more autonomous and explore the role that the Internet may play in helping us attain this objective.

Predicting perceptual learning from higher-order cortical processing.

Science.gov (United States)

Wang, Fang; Huang, Jing; Lv, Yaping; Ma, Xiaoli; Yang, Bin; Wang, Encong; Du, Boqi; Li, Wu; Song, Yan

2016-01-01

Visual perceptual learning has been shown to be highly specific to the retinotopic location and attributes of the trained stimulus. Recent psychophysical studies suggest that these specificities, which have been associated with early retinotopic visual cortex, may in fact not be inherent in perceptual learning and could be related to higher-order brain functions. Here we provide direct electrophysiological evidence in support of this proposition. In a series of event-related potential (ERP) experiments, we recorded high-density electroencephalography (EEG) from human adults over the course of learning in a texture discrimination task (TDT). The results consistently showed that the earliest C1 component (68-84ms), known to reflect V1 activity driven by feedforward inputs, was not modulated by learning regardless of whether the behavioral improvement is location specific or not. In contrast, two later posterior ERP components (posterior P1 and P160-350) over the occipital cortex and one anterior ERP component (anterior P160-350) over the prefrontal cortex were progressively modified day by day. Moreover, the change of the anterior component was closely correlated with improved behavioral performance on a daily basis. Consistent with recent psychophysical and imaging observations, our results indicate that perceptual learning can mainly involve changes in higher-level visual cortex as well as in the neural networks responsible for cognitive functions such as attention and decision making. Copyright © 2015 Elsevier Inc. All rights reserved.

Alexithymia and empathy predict changes in autonomic arousal during affective stimulation.

Science.gov (United States)

Bogdanov, Volodymyr B; Bogdanova, Olena V; Gorlov, Dmytro S; Gorgo, Yuriy P; Dirckx, Joris J J; Makarchuk, Mykola Y; Schoenen, Jean; Critchley, Hugo

2013-09-01

Alexithymia, the inability to describe one's own emotions, is linked to deficits in empathy, manifesting as a diminished capacity to recognize or understand the emotions and mental states of others. Several brain centers of autonomic control and interoception that are activated in empathy are thought to misfunction in alexithymia. We hypothesized that individual differences in autonomic changes under affective stimulation might be associated with differences in alexithymia and empathy. We studied 21 healthy volunteers, comparing their alexithymia and empathy scores with changes in their sympathetic autonomic arousal, indexed by the palmar skin potential level, during 3 tasks: playing a computer game, performing mental arithmetic, and watching a negative emotional valence video. Both autonomic and subjective sense of arousal increased at the beginning of each task and then gradually subsided over the course of the task. Higher autonomic arousal at the onset of the computer game was associated with higher empathy scores, and at the onset of the negative video with higher scores for both empathy and alexithymia. Alexithymia delayed the habituation of autonomic arousal during the computer game, while the empathy score was related to a faster decline in arousal during the negative video task. High alexithymia and high empathy scores were linked to increased autonomic arousal at the onset of emotional stimulation, but were distinguishable in the rates of habituation of the evoked arousal. Our data provide insight into the relationships among interacting psychological traits, physiologic regulation, and the arousal dimension of emotional experience.

Will Mobile Learning Bring a Paradigm Shift in Higher Education?

OpenAIRE

Rajasingham, Lalita

2011-01-01

In the light of technology-driven social change that creates new challenges for universities, this paper considers the potential of mobile learning as a subset of e-learning to effect a paradigm shift in higher education. Universities face exponential growth in demand for higher education, significant decreases in government funding for education, a changing in understanding of the nature of knowledge, changing student demographics and expectations, and global competition. At the same time un...

Bidirectional Prospective Associations Between Cardiac Autonomic Activity and Inflammatory Markers.

Science.gov (United States)

Hu, Mandy Xian; Lamers, Femke; Neijts, Melanie; Willemsen, Gonneke; de Geus, Eco J C; Penninx, Brenda W J H

2018-06-01

Autonomic nervous system (ANS) imbalance has been cross-sectionally associated with inflammatory processes. Longitudinal studies are needed to shed light on the nature of this relationship. We examined cross-sectional and bidirectional prospective associations between cardiac autonomic measures and inflammatory markers. Analyses were conducted with baseline (n = 2823), 2-year (n = 2099), and 6-year (n = 1774) data from the Netherlands Study of Depression and Anxiety. To compare the pattern of results, prospective analyses with ANS (during sleep, leisure time, and work) and inflammation were conducted in two data sets from the Netherlands Twin Register measured for 4.9 years (n = 356) and 5.4 years (n = 472). Autonomic nervous system measures were heart rate (HR) and respiratory sinus arrhythmia (RSA). Inflammatory markers were C-reactive protein (CRP) and interleukin (IL)-6. The Netherlands Study of Depression and Anxiety results showed that higher HR and lower RSA were cross-sectionally significantly associated with higher inflammatory levels. Higher HR predicted higher levels of CRP (B = .065, p < .001) and IL-6 (B = .036, p = .014) at follow-up. Higher CRP levels predicted lower RSA (B = -.024, p = .048) at follow-up. The Netherlands Twin Register results confirmed that higher HR was associated with higher CRP and IL-6 levels 4.9 years later. Higher IL-6 levels predicted higher HR and lower RSA at follow-up. Autonomic imbalance is associated with higher levels of inflammation. Independent data from two studies converge in evidence that higher HR predicts subsequent higher levels of CRP and IL-6. Inflammatory markers may also predict future ANS activity, but evidence for this was less consistent.

A Studi on High Plant Systems Course with Active Learning in Higher Education Through Outdoor Learning to Increase Student Learning Activities

OpenAIRE

Nur Rokhimah Hanik, Anwari Adi Nugroho

2015-01-01

Biology learning especially high plant system courses needs to be applied to active learning centered on the student (Active Learning In Higher Education) to enhance the students' learning activities so that the quality of learning for the better. Outdoor Learning is one of the active learning invites students to learn outside of the classroom by exploring the surrounding environment. This research aims to improve the students' learning activities in the course of high plant systems through t...

Evaluating the autonomic nervous system in patients with laryngopharyngeal reflux.

Science.gov (United States)

Huang, Wan-Ju; Shu, Chih-Hung; Chou, Kun-Ta; Wang, Yi-Fen; Hsu, Yen-Bin; Ho, Ching-Yin; Lan, Ming-Ying

2013-06-01

The pathogenesis of laryngopharyngeal reflux (LPR) remains unclear. It is linked to but distinct from gastroesophageal reflux disease (GERD), which has been shown to be related to disturbed autonomic regulation. The aim of this study is to investigate whether autonomic dysfunction also plays a role in the pathogenesis of LPR. Case-control study. Tertiary care center. Seventeen patients with LPR and 19 healthy controls, aged between 19 and 50 years, were enrolled in the study. The patients were diagnosed with LPR if they had a reflux symptom index (RSI) ≥ 13 and a reflux finding score (RFS) ≥ 7. Spectral analysis of heart rate variability (HRV) analysis was used to assess autonomic function. Anxiety and depression levels measured by the Beck Anxiety Inventory (BAI) and Beck Depression Inventory II (BDI-II) were also conducted. In HRV analysis, high frequency (HF) represents the parasympathetic activity of the autonomic nervous system, whereas low frequency (LF) represents the total autonomic activity. There were no significant differences in the LF power and HF power between the 2 groups. However, significantly lower HF% (P = .003) and a higher LF/HF ratio (P = .012) were found in patients with LPR, who demonstrated poor autonomic modulation and higher sympathetic activity. Anxiety was also frequently observed in the patient group. The study suggests that autonomic dysfunction seems to be involved in the pathogenesis of LPR. The potential beneficial effect of autonomic nervous system modulation as a therapeutic modality for LPR merits further investigation.

WebQuest Learning as Perceived by Higher-Education Learners

Science.gov (United States)

Zheng, Robert; Stucky, Bradd; McAlack, Matt; Menchaca, Mike; Stoddart, Sue

2005-01-01

The WebQuest as an inquiry-oriented approach in web learning has gained considerable attention from educators and has been integrated widely into curricula in K-12 and higher education. It is considered to be an effective way to organize chaotic internet resources and help learners gain new knowledge through a guided learning environment.…

Cardiovascular Autonomic Neuropathy in Systemic Lupus Erythematosus.

Science.gov (United States)

Alam, Md Mahboob; Das, Pinaki; Ghosh, Parasar; Zaman, Md Salim Uz; Boro, Madhusmita; Sadhu, Manika; Mazumdar, Ardhendu

2015-01-01

Objective is to evaluate cardiovascular autonomic function in SLE by simple non-invasive tests. A case control study was carried out involving 18-50 yrs old previously diagnosed SLE patients and same number of age and sex-matched controls. Parasympathetic function was assessed by heart rate (HR) response to Valsalva maneuver, deep breathing and standing. Sympathetic function was evaluated by blood pressure response to standing and sustained hand-grip test (HGT). There were 50 female SLE patients. They had significantly higher minimum resting HR and diastolic blood pressure (DBP). HR variation with deep breathing, expiratory inspiratory ratio, 30:15 ratio and DBP change in response to HGT were significantly lower inpatients compared to controls. Thirty patients (60%) had at least one abnormal or two borderline test results indicating autonomic impairment of which 27 had parasympathetic dysfunction and 7 had sympathetic dysfunction. Autonomic dysfunction is common in SLE with higher prevalence of parasympathetic impairment.

Higher Order Thinking Skills as Effect of Problem Based Learning in the 21st Century Learning

Directory of Open Access Journals (Sweden)

Leni Widiawati

2018-03-01

Full Text Available This study aims to determine the responses of learners to learning using a scientific approach in Problem Based Learning integrated with the inculcation of critical thinking, communicative, collaboration; and creative (4C skills in 21st century learning. The design of this study is true experiment by using posttest only control design. The sample of the research is vocational school students selected by using cluster random sampling technique in Surakarta, Indonesia. The techniques of collecting data are using tests whose validity, reliability, level of difficulty, and the discrimination index have been tested. The data obtained are then tested using t test. The result of the research shows that higher order thinking skills of experimental class students learning using scientific approach in Problem Based Learning which is integrated with the inculcation of 4C skills are higher than those of the control class that are learning using scientific approach in Think-Pair-Share which is integrated with the inculcation of 4C skills.

Distributed scheduling for autonomous vehicles by reinforcement learning; Kyoka gakushu ni yoru mujin hansosha no bunsangata scheduling

Energy Technology Data Exchange (ETDEWEB)

Unoki, T.; Suetake, N. [Oki Electric Industry Co. Ltd., Tokyo (Japan)

1997-08-20

In this paper, we propose an autonomous vehicle scheduling schema in large physical distribution terminals publicly used as the next generation wide area physical distribution bases. This schema uses Learning Automaton for vehicles scheduling based on Contract Net Protocol, in order to obtain useful emergent behaviors of agents in the system based on the local decision-making of each agent. The state of the automaton is updated at each instant on the basis of new information that includes the arrival estimation time of vehicles. Each agent estimates the arrival time of vehicles by using Bayesian learning process. Using traffic simulation, we evaluate the schema in various simulated environments. The result shows the advantage of the schema over when each agent provides the same criteria from the top down, and each agent voluntarily generates criteria via interactions with the environment, playing an individual role in tie system. 22 refs., 5 figs., 2 tabs.

A Machine Learning Approach to Pedestrian Detection for Autonomous Vehicles Using High-Definition 3D Range Data

Directory of Open Access Journals (Sweden)

Pedro J. Navarro

2016-12-01

Full Text Available This article describes an automated sensor-based system to detect pedestrians in an autonomous vehicle application. Although the vehicle is equipped with a broad set of sensors, the article focuses on the processing of the information generated by a Velodyne HDL-64E LIDAR sensor. The cloud of points generated by the sensor (more than 1 million points per revolution is processed to detect pedestrians, by selecting cubic shapes and applying machine vision and machine learning algorithms to the XY, XZ, and YZ projections of the points contained in the cube. The work relates an exhaustive analysis of the performance of three different machine learning algorithms: k-Nearest Neighbours (kNN, Naïve Bayes classifier (NBC, and Support Vector Machine (SVM. These algorithms have been trained with 1931 samples. The final performance of the method, measured a real traffic scenery, which contained 16 pedestrians and 469 samples of non-pedestrians, shows sensitivity (81.2%, accuracy (96.2% and specificity (96.8%.

A Machine Learning Approach to Pedestrian Detection for Autonomous Vehicles Using High-Definition 3D Range Data.

Science.gov (United States)

Navarro, Pedro J; Fernández, Carlos; Borraz, Raúl; Alonso, Diego

2016-12-23

This article describes an automated sensor-based system to detect pedestrians in an autonomous vehicle application. Although the vehicle is equipped with a broad set of sensors, the article focuses on the processing of the information generated by a Velodyne HDL-64E LIDAR sensor. The cloud of points generated by the sensor (more than 1 million points per revolution) is processed to detect pedestrians, by selecting cubic shapes and applying machine vision and machine learning algorithms to the XY, XZ, and YZ projections of the points contained in the cube. The work relates an exhaustive analysis of the performance of three different machine learning algorithms: k-Nearest Neighbours (kNN), Naïve Bayes classifier (NBC), and Support Vector Machine (SVM). These algorithms have been trained with 1931 samples. The final performance of the method, measured a real traffic scenery, which contained 16 pedestrians and 469 samples of non-pedestrians, shows sensitivity (81.2%), accuracy (96.2%) and specificity (96.8%).

Student and Faculty Beliefs about Learning in Higher Education: Implications for Teaching

Science.gov (United States)

Dandy, Kristina L.; Bendersky, Karen

2014-01-01

Beliefs about learning can influence whether or not a student learns course material. However, few studies in higher education have compared student and faculty beliefs about learning. In the current study, students and faculty agreed on many aspects of learning--including the definition of learning, which most hinders learning and where learning…

Learners- Perceptions of Mobile Devices for Learning in Higher Education - Towards a Mobile Learning Pedagogical Framework

OpenAIRE

Conradie; P.W.; Lombard; A.; Moller; M.

2013-01-01

The dramatic effect of information technology on society is undeniable. In education, it is evident in the use of terms like active learning, blended learning, electronic learning and mobile learning (ubiquitous learning). This study explores the perceptions of 54 learners in a higher education institution regarding the use of mobile devices in a third year module. Using semi-structured interviews, it was found that mobile devices had a positive impact on learner motivati...

Learning tactile skills through curious exploration

Directory of Open Access Journals (Sweden)

Leo ePape

2012-07-01

Full Text Available We present curiosity-driven, autonomous acquisition of tactile exploratory skills on a biomimetic robot finger equipped with an array of microelectromechanical touch sensors. Instead of building tailored algorithms for solving a specific tactile task, we employ a more general curiosity-driven reinforcement learning approach that autonomously learns a set of motor skills in absence of an explicit teacher signal. In this approach, the acquisition of skills is driven by the information content of the sensory input signals relative to a learner that aims at representing sensory inputs using fewer and fewer computational resources. We show that, from initially random exploration of its environment, the robotic system autonomously develops a small set of basic motor skills that lead to different kinds of tactile input. Next, the system learns how to exploit the learned motor skills to solve supervised texture classification tasks. Our approach demonstrates the feasibility of autonomous acquisition of tactile skills on physical robotic platforms through curiosity-driven reinforcement learning, overcomes typical difficulties of engineered solutions for active tactile exploration and underactuated control, and provides a basis for studying developmental learning through intrinsic motivation in robots.

Impediments of E-Learning Adoption in Higher Learning Institutions of Tanzania: An Empirical Review

Science.gov (United States)

Mwakyusa, Wilson Pholld; Mwalyagile, Neema Venance

2016-01-01

It is experienced that most of the Higher Learning Institutions (HLIs) in developing countries including Tanzania fails to fully implement e-learning system as a an alternative method of delivering education to a large population in the universities. However, some of HLIs are practicing the blended method by which both elearning and traditional…

Compact autonomous navigation system (CANS)

Science.gov (United States)

Hao, Y. C.; Ying, L.; Xiong, K.; Cheng, H. Y.; Qiao, G. D.

2017-11-01

Autonomous navigation of Satellite and constellation has series of benefits, such as to reduce operation cost and ground station workload, to avoid the event of crises of war and natural disaster, to increase spacecraft autonomy, and so on. Autonomous navigation satellite is independent of ground station support. Many systems are developed for autonomous navigation of satellite in the past 20 years. Along them American MANS (Microcosm Autonomous Navigation System) [1] of Microcosm Inc. and ERADS [2] [3] (Earth Reference Attitude Determination System) of Honeywell Inc. are well known. The systems anticipate a series of good features of autonomous navigation and aim low cost, integrated structure, low power consumption and compact layout. The ERADS is an integrated small 3-axis attitude sensor system with low cost and small volume. It has the Earth center measurement accuracy higher than the common IR sensor because the detected ultraviolet radiation zone of the atmosphere has a brightness gradient larger than that of the IR zone. But the ERADS is still a complex system because it has to eliminate many problems such as making of the sapphire sphere lens, birefringence effect of sapphire, high precision image transfer optical fiber flattener, ultraviolet intensifier noise, and so on. The marginal sphere FOV of the sphere lens of the ERADS is used to star imaging that may be bring some disadvantages., i.e. , the image energy and attitude measurements accuracy may be reduced due to the tilt image acceptance end of the fiber flattener in the FOV. Besides Japan, Germany and Russia developed visible earth sensor for GEO [4] [5]. Do we have a way to develop a cheaper/easier and more accurate autonomous navigation system that can be used to all LEO spacecraft, especially, to LEO small and micro satellites? To return this problem we provide a new type of the system—CANS (Compact Autonomous Navigation System) [6].

Atypical Corruption at Institutions of Higher Learning

Science.gov (United States)

Yang, Li

2007-01-01

This article describes an incident involving twelve teachers at Anhui Haozhou Normal Junior College who used purchased dissertations to apply for professional titles over three consecutive years. Academic corruption is not merely today's problem, and the academic corruption at the institutions of higher learning that the author discloses in this…

The Promise of Process. Learning through Enterprise in Higher Education

DEFF Research Database (Denmark)

Frederiksen, Signe Hedeboe

Entrepreneurial process increasingly attracts attention as an opportunity to learn in higher education. Students learn “through” enterprise, when they actively engage in an entrepreneurial process while reflecting on their actions and experiences. In this qualitative field study, I investigate how...... postgraduate students pursued opportunities to learn in a process-driven entrepreneurship module. Drawing on situated learning theory, I find that students tried to access learning opportunities through a constant dynamic of participation which involved contradictory participatory stances. The learning through...... paradigm in enterprise education imposes conditions on the learning environment and involves images of a particular learner, who is able to take advantage of this learning opportunity. The findings indicate a contradictory process of becoming a legitimate entrepreneurial learner which is more uncertain...

Is problem-based learning associated with students’ motivation? A quantitative and qualitative study

NARCIS (Netherlands)

M. Wijnen (Marit); S.M.M. Loyens (Sofie); L. Wijnia (Lisette); G. Smeets (Guus); M.J. Kroeze (Maarten); H.T. van der Molen (Henk)

2017-01-01

textabstractIn this study, a mixed-method design was employed to investigate the association between a student-centred, problem-based learning (PBL) method and law students’ motivation. Self-determination theory (SDT) states that autonomous motivation, which is associated with higher academic

Epistemological Belief and Learning Approaches of Students in Higher Institutions of Learning in Malaysia

Science.gov (United States)

Ismail, Habsah; Hassan, Aminuddin; Muhamad, Mohd. Mokhtar; Ali, Wan Zah Wan; Konting, Mohd. Majid

2013-01-01

This is an investigation of the students' beliefs about the nature of knowledge or epistemological beliefs, and the relation of these beliefs on their learning approaches. Students chosen as samples of the study were from both public and private higher institutions of learning in Malaysia. The instrument used in the study consists of 49 items…

Managing Informal Learning in Higher Education Contexts: the learners’ perspective

NARCIS (Netherlands)

Marques, Maria A.; Viegas, Maria C.; Alves, Gustavo R.; Zangrando, Valentina; Galanis, Nikolas; Brouns, Francis; Waszkiewicz, Elwira; García-Peñalvo, Francisco J.

2013-01-01

Marques, M. A., Viegas, M. C., Alves, G., Zangrando, V., Galanis, N., Brouns, F., Waszkiewicz, E., & Garcia-Peñalvo, F. (2013). Managing Informal Learning in Higher Education Contexts: the learners’ perspective. ICBL2013 International Conference on Interactive Computer-Aided Blended Learning.

Traditional Classroom vs E-learning in Higher Education: Difference between Students' Behavioral Engagement

Directory of Open Access Journals (Sweden)

Fei Li

2014-03-01

Full Text Available We discuss traditional classroom, e-learning, behavioral engagement and difference between behavioral engagements in two kind of instruction environment. Results from variance analyses suggest that there is no significant difference between engagements of active learning in different classroom conditions, and there exist significant differences on higher-level learning of innovative and critical thinking. Our findings highlight students' behavioral engagements in two environments have no significant advantage over each other, but e-learning facilitates higher-level learning better.

Student Attitudes toward Learning Analytics in Higher Education: “The Fitbit Version of the Learning World”

Science.gov (United States)

Roberts, Lynne D.; Howell, Joel A.; Seaman, Kristen; Gibson, David C.

2016-01-01

Increasingly, higher education institutions are exploring the potential of learning analytics to predict student retention, understand learning behaviors, and improve student learning through providing personalized feedback and support. The technical development of learning analytics has outpaced consideration of ethical issues surrounding their use. Of particular concern is the absence of the student voice in decision-making about learning analytics. We explored higher education students' knowledge, attitudes, and concerns about big data and learning analytics through four focus groups (N = 41). Thematic analysis of the focus group transcripts identified six key themes. The first theme, “Uninformed and Uncertain,” represents students' lack of knowledge about learning analytics prior to the focus groups. Following the provision of information, viewing of videos and discussion of learning analytics scenarios three further themes; “Help or Hindrance to Learning,” “More than a Number,” and “Impeding Independence”; represented students' perceptions of the likely impact of learning analytics on their learning. “Driving Inequality” and “Where Will it Stop?” represent ethical concerns raised by the students about the potential for inequity, bias and invasion of privacy and the need for informed consent. A key tension to emerge was how “personal” vs. “collective” purposes or principles can intersect with “uniform” vs. “autonomous” activity. The findings highlight the need the need to engage students in the decision making process about learning analytics. PMID:28066285

Special Issue: Learning Analytics in Higher Education

Science.gov (United States)

Lester, Jaime; Klein, Carrie; Rangwala, Huzefa; Johri, Aditya

2017-01-01

The purpose of this monograph is to give readers a practical and theoretical foundation in learning analytics in higher education, including an understanding of the challenges and incentives that are present in the institution, in the individual, and in the technologies themselves. Among questions that are explored and answered are: (1) What are…

Self-perceived halitosis among students of higher learning ...

African Journals Online (AJOL)

SPH), its effects and associated factors among students of higher learning institutions in Kigali, Rwanda. Materials and methods: A self-administered structured questionnaire was distributed to 354 students. Data was entered into excel sheet and ...

Using Webquest in Learning Grammar: Students' Perceptions in Higher Education

Directory of Open Access Journals (Sweden)

Ira Irzawati

2013-01-01

Full Text Available Webquest is an internet based learning tool that can be used by students in learning English. This study investigates students’ perceptions about the use of Webquest to support learning grammar in Higher Education. Seventy-two of second semester students were involved as participants in this study. Questionnaire and interview were used to collect the data. The data were analyzed quantitatively and qualitatively. The result of this study revealed that students had positive perceptions toward the use of Webquest in learning grammar. They believed that Webquest can be used as one of effective internet based learning tools in studying grammar.

Using Multimodal Input for Autonomous Decision Making for Unmanned Systems

Science.gov (United States)

Neilan, James H.; Cross, Charles; Rothhaar, Paul; Tran, Loc; Motter, Mark; Qualls, Garry; Trujillo, Anna; Allen, B. Danette

2016-01-01

Autonomous decision making in the presence of uncertainly is a deeply studied problem space particularly in the area of autonomous systems operations for land, air, sea, and space vehicles. Various techniques ranging from single algorithm solutions to complex ensemble classifier systems have been utilized in a research context in solving mission critical flight decisions. Realized systems on actual autonomous hardware, however, is a difficult systems integration problem, constituting a majority of applied robotics development timelines. The ability to reliably and repeatedly classify objects during a vehicles mission execution is vital for the vehicle to mitigate both static and dynamic environmental concerns such that the mission may be completed successfully and have the vehicle operate and return safely. In this paper, the Autonomy Incubator proposes and discusses an ensemble learning and recognition system planned for our autonomous framework, AEON, in selected domains, which fuse decision criteria, using prior experience on both the individual classifier layer and the ensemble layer to mitigate environmental uncertainty during operation.

Materials learning from life: concepts for active, adaptive and autonomous molecular systems.

Science.gov (United States)

Merindol, Rémi; Walther, Andreas

2017-09-18

Bioinspired out-of-equilibrium systems will set the scene for the next generation of molecular materials with active, adaptive, autonomous, emergent and intelligent behavior. Indeed life provides the best demonstrations of complex and functional out-of-equilibrium systems: cells keep track of time, communicate, move, adapt, evolve and replicate continuously. Stirred by the understanding of biological principles, artificial out-of-equilibrium systems are emerging in many fields of soft matter science. Here we put in perspective the molecular mechanisms driving biological functions with the ones driving synthetic molecular systems. Focusing on principles that enable new levels of functionalities (temporal control, autonomous structures, motion and work generation, information processing) rather than on specific material classes, we outline key cross-disciplinary concepts that emerge in this challenging field. Ultimately, the goal is to inspire and support new generations of autonomous and adaptive molecular devices fueled by self-regulating chemistry.

E-Learning in Croatian Higher Education: An Analysis of Students' Perceptions

Science.gov (United States)

Dukić, Darko; Andrijanić, Goran

2010-06-01

Over the last years, e-learning has taken an important role in Croatian higher education as a result of strategies defined and measures undertaken. Nonetheless, in comparison to the developed countries, the achievements in e-learning implementation are still unsatisfactory. Therefore, the efforts to advance e-learning within Croatian higher education need to be intensified. It is further necessary to undertake ongoing activities in order to solve possible problems in e-learning system functioning, which requires the development of adequate evaluation instruments and methods. One of the key steps in this process would be examining and analyzing users' attitudes. This paper presents a study of Croatian students' perceptions with regard to certain aspects of e-learning usage. Given the character of this research, adequate statistical methods were required for the data processing. The results of the analysis indicate that, for the most part, Croatian students have positive perceptions of e-learning, particularly as support to time-honored forms of teaching. However, they are not prepared to completely give up the traditional classroom. Using factor analysis, we identified four underlying factors of a collection of variables related to students' perceptions of e-learning. Furthermore, a certain number of statistically significant differences in student attitudes have been confirmed, in terms of gender and year of study. In our study we used discriminant analysis to determine discriminant functions that distinguished defined groups of students. With this research we managed to a certain degree to alleviate the current data insufficiency in the area of e-learning evaluation among Croatian students. Since this type of learning is gaining in importance within higher education, such analyses have to be conducted continuously.

Evidence-Based Higher Education - Is the Learning Styles 'Myth' Important?

Science.gov (United States)

Newton, Philip M; Miah, Mahallad

2017-01-01

The basic idea behind the use of 'Learning Styles' is that learners can be categorized into one or more 'styles' (e.g., Visual, Auditory, Converger) and that teaching students according to their style will result in improved learning. This idea has been repeatedly tested and there is currently no evidence to support it. Despite this, belief in the use of Learning Styles appears to be widespread amongst schoolteachers and persists in the research literature. This mismatch between evidence and practice has provoked controversy, and some have labeled Learning Styles a 'myth.' In this study, we used a survey of academics in UK Higher Education ( n = 114) to try and go beyond the controversy by quantifying belief and, crucially, actual use of Learning Styles. We also attempted to understand how academics view the potential harms associated with the use of Learning Styles. We found that general belief in the use of Learning Styles was high (58%), but lower than in similar previous studies, continuing an overall downward trend in recent years. Critically the percentage of respondents who reported actually using Learning Styles (33%) was much lower than those who reported believing in their use. Far more reported using a number of techniques that are demonstrably evidence-based. Academics agreed with all the posited weaknesses and harms of Learning Styles theory, agreeing most strongly that the basic theory of Learning Styles is conceptually flawed. However, a substantial number of participants (32%) stated that they would continue to use Learning Styles despite being presented with the lack of an evidence base to support them, suggesting that 'debunking' Learning Styles may not be effective. We argue that the interests of all may be better served by promoting evidence-based approaches to Higher Education.

Autonomous parsing of behavior in a multi-agent setting

NARCIS (Netherlands)

Vanderelst, D.; Barakova, E.I.; Rutkowski, L.; Tadeusiewicz, R.

2008-01-01

Imitation learning is a promising route to instruct robotic multi-agent systems. However, imitating agents should be able to decide autonomously what behavior, observed in others, is interesting to copy. Here we investigate whether a simple recurrent network (Elman Net) can be used to extract

Editorial: Technology for higher education, adult learning and human performance

OpenAIRE

Minhong Wang; Chi-Cheng Chang; Feng Wu

2013-01-01

This special issue is dedicated to technology-enabled approaches for improving higher education, adult learning, and human performance. Improvement of learning and human development for sustainable development has been recognized as a key strategy for individuals, institutions, and organizations to strengthen their competitive advantages. It becomes crucial to help adult learners and knowledge workers to improve their self-directed and life-long learning capabilities. Meanwhile, advances in t...

Student Attitudes toward Learning Analytics in Higher Education: “the fitbit version of the learning world”

Directory of Open Access Journals (Sweden)

Lynne D. Roberts

2016-12-01

Full Text Available Increasingly, higher education institutions are exploring the potential of learning analytics to predict student retention, understand learning behaviours, and improve student learning through providing personalised feedback and support. The technical development of learning analytics has outpaced consideration of ethical issues surrounding their use. Of particular concern is the absence of the student voice in decision-making about learning analytics. We explored higher education students’ knowledge, attitudes and concerns about big data and learning analytics through four focus groups (N=41. Thematic analysis of the focus group transcripts identified six key themes. The first theme, ‘Uninformed and Uncertain’, represents students’ lack of knowledge about learning analytics prior to the focus groups. Following the provision of information, viewing of videos and discussion of learning analytics scenarios three further themes; ‘Help or Hindrance to Learning’, ‘More than a Number’, and ‘Impeding Independence’; represented students’ perceptions of the likely impact of learning analytics on their learning. ‘Driving Inequality’ and ‘Where Will it Stop? represent ethical concerns raised by the students about the potential for inequity, bias and invasion of privacy and the need for informed consent. A key tension to emerge was how ‘personal’ versus ‘collective’ purposes or principles can intersect with ‘uniform’ versus ‘autonomous’ activity. The findings highlight the need the need to engage students in the decision making process about learning analytics.

Research Issues in Evaluating Learning Pattern Development in Higher Education

Science.gov (United States)

Richardson, John T. E.

2013-01-01

This article concludes the special issue of "Studies in Educational Evaluation" concerned with "Evaluating learning pattern development in higher education" by discussing research issues that have emerged from the previous contributions. The article considers in turn: stability versus variability in learning patterns; old versus new analytic…

Cardiac autonomic profile in different sports disciplines during all-day activity.

Science.gov (United States)

Sztajzel, J; Jung, M; Sievert, K; Bayes De Luna, A

2008-12-01

Physical training and sport activity have a beneficial effect on cardiac autonomic activity. However, the exact impact of different types of sports disciplines on cardiac autonomic function is still unclear. The aim of this study was to evaluate the cardiac autonomic profile in different sports discplines and to determine their impact on cardiac autonomic function by using heart rate variability (HRV), a noninvasive electrocardiographic (ECG) analysis of the sympatho-vagal balance. Temporal and spectral HRV parameters determined from 24-hour continuous ECG monitoring were studied in 40 subjects, including 12 endurance athletes, 14 hockey players and 14 untrained male volunteers (control group). Each participant had to wear a Holter recorder during 24 hours and to continue his everyday activities. All HRV parameters were compared between the 3 study groups. All heart rate values were lower and all parasympathetic-related time domain indices, including root mean square of successive differences (RMSSD) and pNN50 (NN50 count divided by the total number of all NN intervals), were higher in both athletes groups as compared with controls (PHRV, were significantly higher only in endurance athletes (PHRV (higher SDNN), indicating thereby that this type sports discipline may have a more substantially favorable effect on the cardiac autonomic profile.

Higher Education Learning Experiences among Vietnamese Immigrant Women in Taiwan

Science.gov (United States)

Wu, Ya-Ling; Wu, Hsing-Chen

2015-01-01

Based on a sociocultural approach to adult learning and poststructural feminist theories, this study draws on interviews with 11 married Vietnamese women to explore the higher education learning experiences of Vietnamese immigrant women in Taiwan. On the basis of their husbands' permission and support, Vietnamese immigrant women embraced the…

A Systematic Review on Mobile Learning in Higher Education: The African Perspective

Science.gov (United States)

Kaliisa, Rogers; Picard, Michelle

2017-01-01

The spread and popularity of mobile devices has led to their increased application in higher education. While studies have reviewed mobile learning initiatives in different contexts, none has explored this subject in Africa. This systematic review collates and compares studies published between 2010 and 2016 on mobile learning in higher education…

Effects of pre-learning stress on memory for neutral, positive and negative words: Different roles of cortisol and autonomic arousal.

Science.gov (United States)

Schwabe, Lars; Bohringer, Andreas; Chatterjee, Monischa; Schachinger, Hartmut

2008-07-01

Stress can have enhancing or impairing effects on memory. Here, we addressed the effect of pre-learning stress on subsequent memory and asked whether neutral and emotionally valent information are differentially affected by specific stress components, autonomic arousal and stress-induced cortisol. Ninety-six healthy men and women underwent either a stressor (modified cold pressor test) or a control warm water exposure. During stress, participants showed comparable autonomic arousal (heart rate, blood pressure), while 60 percent showed an increase of cortisol (responders vs. 40 percent non-responders). Ten minutes after the cold pressor test neutral, positive and negative words were presented. Free recall was tested 1 and 24h later. Overall, positive and negative words were better recalled than neutral words. Stress enhanced the recall of neutral words independently of cortisol response. In contrast, the free recall of negative words was enhanced in cortisol responders in the 1-h but not 24-h test which might suggest different effects of cortisol on consolidation and reconsolidation processes. Recall for positive words was unaffected by stress-induced cortisol. To summarize, (i) pre-learning stress can enhance memory for neutral words independently of cortisol and (ii) stress effects on memory for negative words appear to rely on stress-induced cortisol elevations, the absence of this effect for positive words might be at least partly due to differences in arousal evoked by positive vs. negative words.

Web 2.0 for social learning in higher education

DEFF Research Database (Denmark)

Nicolajsen, Hanne Westh

2011-01-01

The use of Web 2.0 in higher education provides for a number of different possibilities. In this paper we look into the use of Web 2.0 as a platform for social learning supplementing traditional teaching methods such as lectures and on place group work. The findings are astonishing revealing...... challenges such as the unknown genre of Web 2.0 for learning and changed behaviors with relevance for the identity creation and perception of others. The insight points to a number of issues of relevance when Web 2.0 is integrated in design for learning....

Will Mobile Learning Bring a Paradigm Shift in Higher Education?

Directory of Open Access Journals (Sweden)

Lalita Rajasingham

2011-01-01

Full Text Available In the light of technology-driven social change that creates new challenges for universities, this paper considers the potential of mobile learning as a subset of e-learning to effect a paradigm shift in higher education. Universities face exponential growth in demand for higher education, significant decreases in government funding for education, a changing in understanding of the nature of knowledge, changing student demographics and expectations, and global competition. At the same time untethered mobile telephony is connecting large numbers of potential learners to communications networks. A review of some empirical literature on the current status of mobile learning that explores alternatives to help universities fulfil core functions of storage, processing, and disseminating knowledge that can be applied to real life problems, is followed by an examination of the strengths and weaknesses of increased connectivity to mobile communications networks to support constructivist, self-directed quality interactive learning for increasingly mobile learners. This paper also examines whether mobile learning can align the developing technology with changing student expectations and the implications of such an alignment for teaching and institutional strategies. Technologies considered include mobile computing and technology, wireless laptop, hand-held PDAs, and mobile telephony.

Business Models Associated with Distance Learning in Higher Education

Science.gov (United States)

Wang, Shouhong; Wang, Hai

2017-01-01

Textbook prices are continuously rising in higher education. This paper analyzes a business model which makes commercial textbooks more expensive, and explains why this issue tends to be more severe in the field of distance learning in higher education. It reports a case of adoption of open educational resources (OER) textbook for an online course…

Are Turkish University Students Autonomous or Not?

Directory of Open Access Journals (Sweden)

Büşra Kırtık

2017-01-01

Full Text Available The present study tried to determine Turkish learners’ attitudes, and the Turkish education system’s approach towards learner autonomy with regard to three main points: 1 whether Turkish university students are aware of learner autonomy or not 2 whether Turkish university students have the characteristics of autonomous learners (whether they are autonomous learners or not, and 3 if the Turkish education system is suitable for fostering learner autonomy or not from the viewpoint of the participants. Participants were 50 second grade learners in the English Language Teaching Departments of Hacettepe University (N=10, Mehmet Akif Ersoy University (N=10, and Uludag University (N=30 who had already taken courses about learner autonomy.  The data were collected by means of a questionnaire which had two Likert-scale sections and an open-ended questions section. The first Likert-scale section contained 15 characteristics of autonomous learners each of which was rated by the participants in a scale from strongly disagree to agree, from 1 to 5. In the second Likert-scale section, the participants were asked to rate the Turkish education system’s five basic elements such as school curriculums, course materials, approaches used by the teachers in classrooms, learning activities, and classroom settings. Additionally, learners’ opinions about their awareness and understanding of learner autonomy were gathered by five open ended questions. The results proposed that the participants were aware of learner autonomy, and had the characteristics of autonomous learners. On the other hand, results showed that the Turkish education system was not suitable for autonomous learners and did not foster learner autonomy. The findings suggested that the Turkish education system should be designed again in such a way to support the autonomous learners and to foster learner autonomy in all sections of the education.

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

OpenAIRE

Shalev-Shwartz, Shai; Shammah, Shaked; Shashua, Amnon

2016-01-01

Autonomous driving is a multi-agent setting where the host vehicle must apply sophisticated negotiation skills with other road users when overtaking, giving way, merging, taking left and right turns and while pushing ahead in unstructured urban roadways. Since there are many possible scenarios, manually tackling all possible cases will likely yield a too simplistic policy. Moreover, one must balance between unexpected behavior of other drivers/pedestrians and at the same time not to be too de...

Collaborative Inquiry: Expert Analysis of Blended Learning in Higher Education

Science.gov (United States)

Wold, Kari

2013-01-01

This paper reports on findings of a university focus group exploring blended learning in higher education. It first describes the findings regarding the amorphous definition of blended learning as well as whether and how universities might engage in the practice. This paper then explains the administrative, instructor, and student variables that…

Learning at work in Higher Vocational Education

Directory of Open Access Journals (Sweden)

Kerstin Littke

2015-02-01

Full Text Available Higher vocational training (HVE is a new form of post-secondary education that was introduced in 2009 in Sweden. The aim for HVE is to address the demands of a highly skilled Swedish workforce. Compared to other forms of adult and higher education it is less institutionalized and, based on Swedish standards, gives great opportunities for the provider to decide regarding the contents and design. The purpose of this study was to analyze a the quality of the course, Learning at Work (LIA, and (b to develop instruments and indicators to explore the quality of the student learning in working life as part of HVE. The design of research instruments was based on hypotheses to uncover the background, the learning process and effect parameters In LIA offered at 12 different HVE sites in Sweden within the areas of health care, computer science, technology and business administration. The survey data of forty-two students and thirty-six workplace supervisors were analyzed. The results of the study show that the quality of the learning at work (LIA varies considerably between different programs and different students. In most programs, it has a significant development potential. A well-functioning LIA is characterized by adequate learning content, an open work climate between colleagues, accuracy and dedication, frequent supervisor feedback, and regular communication between the Program Director and the supervisors. It is important that the educational provider requires workplaces with capacity to offer the students relevant and qualified work content. LIA should offer qualified work content providing knowledge of breadth and depth. Knowledge gained from school-based training should be challenged and must achieve curriculum goals. An important finding is the lack of definitions and criteria for quality, and the risk of quality differences between educational providers. Another significant problem identified in the study is the unclear division of

Mapping, Navigation, and Learning for Off-Road Traversal

DEFF Research Database (Denmark)

Konolige, Kurt; Agrawal, Motilal; Blas, Morten Rufus

2009-01-01

The challenge in the DARPA Learning Applied to Ground Robots (LAGR) project is to autonomously navigate a small robot using stereo vision as the main sensor. During this project, we demonstrated a complete autonomous system for off-road navigation in unstructured environments, using stereo vision......, online terrain traversability learning, visual odometry, map registration, planning, and control. At the end of 3 years, the system we developed outperformed all nine other teams in final blind tests over previously unseen terrain.......The challenge in the DARPA Learning Applied to Ground Robots (LAGR) project is to autonomously navigate a small robot using stereo vision as the main sensor. During this project, we demonstrated a complete autonomous system for off-road navigation in unstructured environments, using stereo vision...

Independient virtual english language learning: a case study in higher education

Directory of Open Access Journals (Sweden)

Esther Nieto Moreno de Diezmas

2016-11-01

Full Text Available The development of independent and self-learning strategies for Foreign Language Learning is of special interest in Higher Education. In particular, these strategies are essential in the Foreign Language Learning area (EFL, since students need to practise and strengthen their exposure to language so as to develop receptive and productive skills. The goal of this paper is to show how independent and virtual learning are developed by means of ICT. To this end, a group of tasks and activities have been designed, distributed and implemented by means of Moodle in the setting of a teaching innovation project in which different campuses and faculties of Education of the University of Castilla-La Mancha where English I is studied have taken part. Additionally, the initial results in terms of students’ perceptions about their independent and virtual learning are shown. Therefore, this paper focuses on a case study at Higher Education in which valid conclusions may be drawn for other similar settings where language learning and virtual learning need to be combined. Initial results suggest the students have responded positively in terms of their perception and participation. This validates the tasks and procedures carried out in the implementation of virtual foreign language learning.

M-learning in Higher Education in Bahrain: the educators’ view

OpenAIRE

Giousmpasoglou, Charalampos; Marinakou, Evangelia

2014-01-01

Universities in the oil-rich Gulf Cooperation Countries (GCC) have shown particular interest in\\ud m-learning which currently is treated as fashion, but at the same time is considered by corporations and educational institutions to be very promising. This papers investigates the adoption of m-learning at universities in the Kingdom of Bahrain, and explores the educators’ views and perceptions of m-learning, as well as its future potential in higher education. A survey questionnaire was distri...

Instrumental distance learning in higher music education

DEFF Research Database (Denmark)

Levinsen, Karin Tweddell; Ørngreen, Rikke; Buhl, Mie

2011-01-01

In this short paper we present a research proposal, for investigation of the complexity of challenges and potentials in which videoconferencing impact on teaching and learning processes in the domain of higher music education. The paper includes a brief historical outline of the research...... and development project, and a presentation of the first activities and preliminary findings which have generated new research question....

Signature Pedagogies for E-Learning in Higher Education and Beyond

Science.gov (United States)

Eaton, Sarah Elaine; Brown, Barbara; Schroeder, Meadow; Lock, Jennifer; Jacobsen, Michele

2017-01-01

Purpose: This report explores the notion of signature pedagogies within the field of e-learning for higher education. Methodology: We build on previous work that examined signature pedagogies in education, linking the concepts of signature pedagogies, the profession of education and e-learning as a means to help educators develop their practice…

Collaborative autonomous sensing with Bayesians in the loop

Science.gov (United States)

Ahmed, Nisar

2016-10-01

There is a strong push to develop intelligent unmanned autonomy that complements human reasoning for applications as diverse as wilderness search and rescue, military surveillance, and robotic space exploration. More than just replacing humans for `dull, dirty and dangerous' work, autonomous agents are expected to cope with a whole host of uncertainties while working closely together with humans in new situations. The robotics revolution firmly established the primacy of Bayesian algorithms for tackling challenging perception, learning and decision-making problems. Since the next frontier of autonomy demands the ability to gather information across stretches of time and space that are beyond the reach of a single autonomous agent, the next generation of Bayesian algorithms must capitalize on opportunities to draw upon the sensing and perception abilities of humans-in/on-the-loop. This work summarizes our recent research toward harnessing `human sensors' for information gathering tasks. The basic idea behind is to allow human end users (i.e. non-experts in robotics, statistics, machine learning, etc.) to directly `talk to' the information fusion engine and perceptual processes aboard any autonomous agent. Our approach is grounded in rigorous Bayesian modeling and fusion of flexible semantic information derived from user-friendly interfaces, such as natural language chat and locative hand-drawn sketches. This naturally enables `plug and play' human sensing with existing probabilistic algorithms for planning and perception, and has been successfully demonstrated with human-robot teams in target localization applications.

CONCERING THE INTERRELATION OF E-LEARNING CONCEPTS IN HIGHER EDUCATION

Directory of Open Access Journals (Sweden)

B. E. Starichenko

2014-01-01

Full Text Available The research objective is the classification and conventional interpretations of the concepts of «e-learning», «distance learning» and «blended learning»; its interconnection and correlation of the didactic system of modern education. The authors note that the deficiency of general data theories in pedagogical literature, - on the one hand, and active development of learning types essentially complicate framing and contents of modern education didactic system. Methods. The authors give the key feature of the generic difference betweenthe traditional and e-learning on the basis of the analysis and correlation made by various researchers’ viewpoints; the key feature - the information resources’ usage in educational process (i.e. devices for data processing, storage, transmission, and the information is presented in digital format. The authors single out that blended learning means implementation of traditional types and methods of specific educational tasks including the e-learning elements. Distance learning is proposed to be electronic itself; it’s supposed to be the final variation of e-learning.Scientific novelty and practical significance. The presented approach based on the digital resources’ level application permits to determine all-existing higher education learning types; to establish connection and show differences between them. The authors draw the conclusion that recommended approach can be usedfor further methodology development of modeling the specialists’ training variants in higher school. It is specially noted that this very training is considered as the collaboration of teachers and students focused on knowledge acquisition, work methods and communication features that correspond the future profession requirements. A mention should be made that it is necessary to use educational information material supplement and needed electronic devices or equipment.

Autonomic headache with autonomic seizures: a case report.

Science.gov (United States)

Ozge, Aynur; Kaleagasi, Hakan; Yalçin Tasmertek, Fazilet

2006-10-01

The aim of the report is to present a case of an autonomic headache associated with autonomic seizures. A 19-year-old male who had had complex partial seizures for 15 years was admitted with autonomic complaints and left hemicranial headache, independent from seizures, that he had had for 2 years and were provoked by watching television. Brain magnetic resonance imaging showed right hippocampal sclerosis and electroencephalography revealed epileptic activity in right hemispheric areas. Treatment with valproic acid decreased the complaints. The headache did not fulfil the criteria for the diagnosis of trigeminal autonomic cephalalgias, and was different from epileptic headache, which was defined as a pressing type pain felt over the forehead for several minutes to a few hours. Although epileptic headache responds to anti-epileptics and the complaints of the present case decreased with antiepileptics, it has been suggested that the headache could be a non-trigeminal autonomic headache instead of an epileptic headache.

A Learning Patterns Perspective on Student Learning in Higher Education: State of the Art and Moving Forward

Science.gov (United States)

Vermunt, Jan D.; Donche, Vincent

2017-01-01

The aim of this article is to review the state of the art of research and theory development on student learning patterns in higher education and beyond. First, the learning patterns perspective and the theoretical framework are introduced. Second, research published since 2004 on student learning patterns is systematically identified and…

Autonomous Motivation for Teaching: How Self-Determined Teaching May Lead to Self-Determined Learning

Science.gov (United States)

Roth, Guy; Assor, Avi; Kanat-Maymon, Yaniv; Kaplan, Haya

2007-01-01

This study examined teachers' experience of autonomous motivation for teaching and its correlates in teachers and students. It was hypothesized that teachers would perceive various motivations posited by E. L. Deci and R. M. Ryan's (2000) self-determination theory as falling along a continuum of autonomous motivation for teaching. Autonomous…

Web-Based Learning Materials for Higher Education: The MERLOT Repository

Science.gov (United States)

Orhun, Emrah

2004-01-01

MERLOT (Multimedia Educational Resource for Learning and Online Teaching) is a web-based open resource designed primarily for faculty and students in higher education. The resources in MERLOT include over 8,000 learning materials and support materials from a wide variety of disciplines that can be integrated within the context of a larger course.…

Uncanny spaces for higher education: teaching and learning in virtual worlds

Directory of Open Access Journals (Sweden)

Siân Bayne

2008-12-01

Full Text Available This paper brings together the theory of the uncanny as it emerges in cultural theory, with an understanding of the uncanniness and troublesomeness seen to be inherent in certain understandings of teaching and learning in higher education. Drawing on research into students' experiences of learning in virtual worlds, it explores the sense in which teaching in such spaces materialises and extends the positive aspects of uncertainty, strangeness, disquietude and troublesomeness in online higher education.

Students’ Motivation for Learning in Virtual Learning Environments

OpenAIRE

Beluce, Andrea Carvalho; Oliveira, Katya Luciane de

2015-01-01

The specific characteristics of online education require of the student engagement and autonomy, factors which are related to motivation for learning. This study investigated students’ motivation in virtual learning environments (VLEs). For this, it used the Teaching and Learning Strategy and Motivation to Learn Scale in Virtual Learning Environments (TLSM-VLE). The scale presented 32 items and six dimensions, three of which aimed to measure the variables of autonomous motivation, controlled ...

Learning Outcomes in Professional Contexts in Higher Education

Science.gov (United States)

Prøitz, Tine S.; Havnes, Anton; Briggs, Mary; Scott, Ian

2017-01-01

With the policy of developing a transparent and competitive European higher education sector, learning outcomes (LOs) are attributed a foundation stone role in policy and curriculum development. A premise for their implementation is that they bear fundamental similarities across national, institutional or professional/disciplinary contexts. In…

A Framework for Collaborative Networked Learning in Higher Education: Design & Analysis

Directory of Open Access Journals (Sweden)

Ghassan F. Issa

2014-06-01

Full Text Available This paper presents a comprehensive framework for building collaborative learning networks within higher educational institutions. This framework focuses on systems design and implementation issues in addition to a complete set of evaluation, and analysis tools. The objective of this project is to improve the standards of higher education in Jordan through the implementation of transparent, collaborative, innovative, and modern quality educational programs. The framework highlights the major steps required to plan, design, and implement collaborative learning systems. Several issues are discussed such as unification of courses and program of studies, using appropriate learning management system, software design development using Agile methodology, infrastructure design, access issues, proprietary data storage, and social network analysis (SNA techniques.

E-Learning – Using XML technologies to meet the special characteristics of higher education

Directory of Open Access Journals (Sweden)

Igor Kanovsky

2004-02-01

Full Text Available In this paper we claim that the current approach to learning objects and metadata standards is counter productive for the integration of e-learning in higher education. We explain why higher education is different with regard to E-learning and we suggest an approach that avoids the use of global standards and favors an approach of an evolving set of metadata tags for an evolving community of practice. We demonstrate how XML technologies and some minimal technical help for the participating teachers can provide the required foundation for a productive process of integrating E-learning in higher education.

E-Learning to Improve Higher Order Thinking Skills (HOTS of Students

Directory of Open Access Journals (Sweden)

R. Poppy Yaniawati

2013-05-01

Full Text Available The role of technology integration on modern learning is essential to optimize the acceleration process in Higher Order Thinking Skills (HOTS. This research describes how to implement e-learning to improve HOTS of students and students’ attitude toward e-learning of mathematics, pre- learning students knowledge, duration of login in website, and correlation of variables with HOTS. There is a significant correlation between pre-learning knowledge and students’ HOTS, but there is no significant correlation between students’ HOTS and students’ attitude toward e-learning of mathematics. There is a significant correlation between login duration and students attitude toward e-learning of mathematics. No significant correlation is found between login duration and students’ HOTS.

Implementation of training programs in self-regulated learning strategies in Moodle format: results of a experience in higher education.

Science.gov (United States)

Núñez, José Carlos; Cerezo, Rebeca; Bernardo, Ana; Rosário, Pedro; Valle, Antonio; Fernández, Estrella; Suárez, Natalia

2011-04-01

This paper tests the efficacy of an intervention program in virtual format intended to train studying and self-regulation strategies in university students. The aim of this intervention is to promote a series of strategies which allow students to manage their learning processes in a more proficient and autonomous way. The program has been developed in Moodle format and hosted by the Virtual Campus of the University of Oviedo. The present study had a semi-experimental design, included an experimental group (n=167) and a control one (n=206), and used pretest and posttest measures (self-regulated learning strategies' declarative knowledge, self-regulated learning macro-strategy planning-execution-assessment, self-regulated learning strategies on text, surface and deep learning approaches, and academic achievement). Data suggest that the students enrolled in the training program, comparing with students in the control group, showed a significant improvement in their declarative knowledge, general and on text use of learning strategies, increased their deep approach to learning, decreased their use of a surface approach and, in what concerns to academic achievement, statistically significant differences have been found in favour of the experimental group.

OPEN AND DISTANCE LEARNING: An Emerging System for Alternative Higher Education in Nigeria

Directory of Open Access Journals (Sweden)

Emmanuel Chisa IBARA

2008-01-01

Full Text Available ABSTRACT Nigeria no doubt is at the threshold of transformation in information and communication technology (ICT, a development that should be utilized to meet the demand of time, especially in the education sector. One area in which ICT has made enormous impact is in open and distance learning. Undoubtedly, the demand on the conventional higher education delivery system in the country is high and ever increasing that the system at the moment is unable to accommodate the number of candidates seeking admission. This paper, therefore, attempts some definition of open and distance learning as well as its practices with a view to advancing the prospects of open and distance as alternative system of higher education in Nigeria. Furthermore, it concludes that considering the level of infrastructural decay in the conventional higher education system, open and distance learning as an alternative system of education has become imperative for the realization of the primary objectives of higher education in Nigeria. Recommendations that will enhance the prospects of open and distance learning as viable alternative system of higher education were proffered.

Revisiting Learning in Higher Education--Framing Notions Redefined through an Ecological Perspective

Science.gov (United States)

Damsa, Crina; Jornet, Alfredo

2016-01-01

This article employs an ecological perspective as a means of revisiting the notion of learning, with a particular focus on learning in higher education. Learning is reconceptualised as a process entailing mutually constitutive, epistemic, social and affective relations in which knowledge, identity and agency become collective achievements of whole…

Twitter as a Learning Community in Higher Education

Science.gov (United States)

Ricoy, María-Carmen; Feliz, Tiberio

2016-01-01

Considering the potential and popularity of social media it is important to inquire into its use in learning. In this study the implementation of the activity carried out in Twitter with higher education students was analysed. The research was conducted following a mixed methodology, based on virtual ethnography complemented by quantitative…

Autonomic Neuropathy

Science.gov (United States)

... risk of autonomic neuropathy. Other diseases. Amyloidosis, porphyria, hypothyroidism and cancer (usually due to side effects from treatment) may also increase the risk of autonomic neuropathy. ...

Higher Education: The Online Teaching and Learning Experience

Science.gov (United States)

Barr, Betty A.; Miller, Sonya F.

2013-01-01

Globally, higher education, as well as K-12, utilizes online teaching to ensure that a wide array of learning opportunities are available for students in a highly competitive technological arena. The most significant influence in education in recent years is the increase and recognition of private for-profit adult distance and online education…

The Future of Online Teaching and Learning in Higher Education: The Survey Says...

Science.gov (United States)

Kim, Kyong-Jee; Bonk, Curtis J.

2006-01-01

Considering the extensive turbulence created by the perfect storm surrounding e-learning, it is not surprising that opinions are mixed about the benefits of online teaching and learning in higher education. As illustrated in numerous issues of the "Chronicle of Higher Education" during the past decade, excitement and enthusiasm for…

A Neural Path Integration Mechanism for Adaptive Vector Navigation in Autonomous Agents

DEFF Research Database (Denmark)

Goldschmidt, Dennis; Dasgupta, Sakyasingha; Wörgötter, Florentin

2015-01-01

Animals show remarkable capabilities in navigating their habitat in a fully autonomous and energy-efficient way. In many species, these capabilities rely on a process called path integration, which enables them to estimate their current location and to find their way back home after long-distance...... of autonomous agent navigation, but it also reproduces various aspects of animal navigation. Finally, we discuss how the proposed path integration mechanism may be used as a scaffold for spatial learning in terms of vector navigation.......Animals show remarkable capabilities in navigating their habitat in a fully autonomous and energy-efficient way. In many species, these capabilities rely on a process called path integration, which enables them to estimate their current location and to find their way back home after long...

HOW TO GENERATE AUTONOMOUS QUESTIONING IN SECONDARY MATHEMATICS TEACHING?

DEFF Research Database (Denmark)

Jessen, Britta Eyrich

2017-01-01

In mathematics education it is still a major challenge to find ways to nurture students to pose and pursue their own questions in order to learn mathematics. During the last three decades problem posing has been explored through different approaches and in empirical studies. This paper presents...... the result of an empirical study, where teaching was designed and conducted based on The Anthropological Theory of the Didactic. It is shown how a changed didactic contract and open generating questions posed by the teacher can support students’ autonomous questioning of the taught knowledge. In the study......, students developed knowledge that went beyond curriculum requirements through autonomous activities, which were different from more traditional school and pedagogical culture....

A cross-cultural comparison of student learning patterns in higher education

NARCIS (Netherlands)

Marambe, Kosala; Vermunt, Jan; Boshuizen, Els

2012-01-01

Marambe, K. N., Vermunt, J. D., & Boshuizen, H. P. A. (2012). A cross-cultural comparison of student learning patterns in higher education. Higher Education, 64(3), 299-316. doi:10.1007/s10734-011-9494-z

The Learning Styles Myth is Thriving in Higher Education

Science.gov (United States)

Newton, Philip M.

2015-01-01

The existence of ‘Learning Styles’ is a common ‘neuromyth’, and their use in all forms of education has been thoroughly and repeatedly discredited in the research literature. However, anecdotal evidence suggests that their use remains widespread. This perspective article is an attempt to understand if and why the myth of Learning Styles persists. I have done this by analyzing the current research literature to capture the picture that an educator would encounter were they to search for “Learning Styles” with the intent of determining whether the research evidence supported their use. The overwhelming majority (89%) of recent research papers, listed in the ERIC and PubMed research databases, implicitly or directly endorse the use of Learning Styles in Higher Education. These papers are dominated by the VAK and Kolb Learning Styles inventories. These presence of these papers in the pedagogical literature demonstrates that an educator, attempting to take an evidence-based approach to education, would be presented with a strong yet misleading message that the use of Learning Styles is endorsed by the current research literature. This has potentially negative consequences for students and for the field of education research. PMID:26696947

Impact of Learning Organization Culture on Performance in Higher Education Institutions

Science.gov (United States)

Ponnuswamy, Indra; Manohar, Hansa Lysander

2016-01-01

In this paper, an adapted version of the Dimensions of Learning Organization Questionnaire (DLOQ) was employed to investigate the perception of academic staff on learning organization culture in Indian higher education institutions. The questionnaire was sent to 700 faculty members of different universities using a non-probability purposive…

Developing of Indicators of an E-Learning Benchmarking Model for Higher Education Institutions

Science.gov (United States)

Sae-Khow, Jirasak

2014-01-01

This study was the development of e-learning indicators used as an e-learning benchmarking model for higher education institutes. Specifically, it aimed to: 1) synthesize the e-learning indicators; 2) examine content validity by specialists; and 3) explore appropriateness of the e-learning indicators. Review of related literature included…

ICT for e-learning in three higher education institutions in Tanzania

Directory of Open Access Journals (Sweden)

Michael P. J. Mahenge

2016-03-01

Full Text Available The advancement in Information and Communication Technology (ICT has brought new opportunities for learning. Tanzania is adopting the new technologies in Higher Education Institutions (HEIs through e-learning and m-learning. However, delivery of learning contents is becoming a challenge for HEIs due to the constraints in resources and network bandwidth. This study discussed learners’ perceptions on using e-learning applications and mobile devices for learning in three HEIs in Tanzania. Findings show that majority of the students own more than one mobile devices which can be used as a tool for facilitating the learning process. It is suggested that in order to improve e-learning content delivery and accessibility under limited resource settings, HEIs in developing countries should make an effective use of emerging mobile computing technologies which are relevant to their respective environments.

Internet of Things in Higher Education: A Study on Future Learning

Science.gov (United States)

Aldowah, Hanan; Rehman, Shafiq Ul; Ghazal, Samar; Naufal Umar, Irfan

2017-09-01

In the coming years, technology will impact the learning experience in many ways. Internet of Things (IoT) continues to confirm its important position in the context of Information and Communication Technologies and the development of society. With the support of IoT, institutions can enhance learning outcomes by providing more affluent learning experiences, improved operational efficiency, and by gaining real-time, actionable insight into student performance. The purpose of this study is to find out the potential of IoT in higher education and how to maximize its benefits and reducing the risks involved with it. Further efforts are necessary for releasing the full potential of IoT systems and technologies. Therefore, this paper presents a study about the impact of IoT on higher education especially universities. IoT stands to change dramatically the way universities work, and enhance student learning in many disciplines and at any level. It has huge potential for universities or any other educational institutions; if well prepared to ensure widespread and successful implementation by leadership, staff, and students. IoT needs development where universities can lead. Academics, researchers, and students are in a unique place to lead the discovery and development of IoT systems, devices, applications, and services. Moreover, this paper provides an evidences about the future of IoT in the higher education during the next few years, which have offered by a number of research organizations and enterprises. On the other hand, IoT also brings tremendous challenges to higher education. Hence, this paper also presents the perspective on the challenges of IoT in higher education.

Adoption of Technology and Augmentation of Resources for Teaching-Learning in Higher Education

OpenAIRE

P. M. Suresh Kumar

2017-01-01

Learner centred education through appropriate methodologies facilitates effective learning as teaching-learning modalities of higher education are considered to be relevant to the learner group. Curriculum delivery and pedagogy should incorporate multitude of learning experiences and innovative learning methodologies through adoption of technology. Plenty of resources external to the curriculum come into use, which offer valuable learning experiences. Augmentation of resources for teaching...

Learning in tele-autonomous systems using Soar

Science.gov (United States)

Laird, John E.; Yager, Eric S.; Tuck, Christopher M.; Hucka, Michael

1989-01-01

Robo-Soar is a high-level robot arm control system implemented in Soar. Robo-Soar learns to perform simple block manipulation tasks using advice from a human. Following learning, the system is able to perform similar tasks without external guidance. It can also learn to correct its knowledge, using its own problem solving in addition to outside guidance. Robo-Soar corrects its knowledge by accepting advice about relevance of features in its domain, using a unique integration of analytic and empirical learning techniques.

Factors that Impact Quality of E-Teaching/Learning Technologies in Higher Education

Science.gov (United States)

Daukilas, Sigitas; Kaciniene, Irma; Vaisnoriene, Daiva; Vascila, Vytautas

2008-01-01

The article analyzes and assesses factors that have impact upon the quality of eTeaching/learning technologies in higher education; it is on their basis that the concept of eTeaching/learning quality is denied. Research data about the students' motives in choosing various teaching/learning technologies for the development of their competence are…

Mobile Learning Practice in Higher Education in Nepal

Science.gov (United States)

Parajuli, Krishna Prasad

2016-01-01

During the 15 years of this current century, mobile technology has become a leading technology in the support of educational outcomes. This study investigated the mobile learning practices among undergraduates in higher education in the semi-urban and rural areas of the Gorkha district of Nepal. The objectives were to explore the availability of…

Academic goals and learning quality in higher education students.

Science.gov (United States)

Valle, Antonio; Núñez, José C; Cabanach, Ramón G; González-Pienda, Julio A; Rodríguez, Susana; Rosário, Pedro; Muñoz-Cadavid, María A; Cerezo, Rebeca

2009-05-01

In this paper, the relations between academic goals and various indicators that define the quality of the learning process are analyzed. The purpose was to determine to what extent high, moderate, or low levels of academic goals were positively or negatively related to effort regulation, the value assigned to academic tasks, meta-cognitive self-regulation, self-efficacy, beliefs about learning control, and management of time and study environment. The investigation was carried out with a sample of 632 university students (70% female and 30% male) and mean age of 21.22 (SD=2.2).The results show that learning goals, or task orientation, are positively related to all the indictors of learning quality considered herein. Although for other kinds of goals-work-avoidance goals, performance-approach goals, and performance-avoidance goals-significant relations were not found with all the indicators, there was a similar tendency of significant results in all cases; the higher the levels of these goals, the lower the levels of the indicators of learning quality.

Genetic autonomic disorders.

Science.gov (United States)

Axelrod, Felicia B

2013-03-01

Genetic disorders affecting the autonomic nervous system can result in abnormal development of the nervous system or they can be caused by neurotransmitter imbalance, an ion-channel disturbance or by storage of deleterious material. The symptoms indicating autonomic dysfunction, however, will depend upon whether the genetic lesion has disrupted peripheral or central autonomic centers or both. Because the autonomic nervous system is pervasive and affects every organ system in the body, autonomic dysfunction will result in impaired homeostasis and symptoms will vary. The possibility of genetic confirmation by molecular testing for specific diagnosis is increasing but treatments tend to remain only supportive and directed toward particular symptoms. Copyright © 2013 Elsevier Inc. All rights reserved.

Impact of Personal Attitudes on Propensity to Use Autonomous Vehicles for Intercity Travel.

Science.gov (United States)

2016-01-01

The autonomous vehicles are about to become a reality. The researchers estimate the benefits from each autonomous vehicle to be between $2000 and $4500 per vehicles. The : societal benefits include higher travel time savings, reduced congestion, fuel...

Gender, Culture and Learning: Iranian Immigrant Women in Canadian Higher Education

Science.gov (United States)

Sadeghi, Shiva

2008-01-01

This article explores the situated meanings of literacy and lifelong learning in the lives of a selected group of first-generation immigrant Iranian women in Canadian institutions of higher education. Drawing from the participants' narratives, the results of this study suggest that, for these women, lifelong learning was greatly influenced by…

The Culture of Learning Continuum: Promoting Internal Values in Higher Education

Science.gov (United States)

Sagy, Ornit; Kali, Yael; Tsaushu, Masha; Tal, Tali

2018-01-01

This study endeavors to identify ways to promote a productive learning culture in higher education. Specifically, we sought to encourage development of internal values in students' culture of learning and examine how this can promote their understanding of scientific content. Set in a high enrollment undergraduate biology course, we designed a…

Toward Meaningful Learning: Reconnecting Faith and Civic Action in Higher Education

Science.gov (United States)

Laboe, Mark; Nass, Karl

2012-01-01

The authors explore ways that faith and a commitment to social justice can be integrated into learning in higher education today. They also seek to highlight six foundational insights emerging from the proceedings of the National Faith, Justice, and Civic Learning (NFJCL) conference related to the importance of effectively reintegrating the…

Exploring Factors That Influence Adoption of e-Learning within Higher Education

Science.gov (United States)

King, Emma; Boyatt, Russell

2015-01-01

E-learning is increasingly adopted in the workplace for supporting professional development and continuing education; however, in higher education, the use of e-learning is predominantly used as a tool support teaching. As a relatively new priority for universities, this paper explores what influences its adoption. Challenges identified in the…

E-Learning as an Alternative Strategy for Tourism Higher Education in Egypt

Science.gov (United States)

Afifi, Galal M. H.

2011-01-01

Purpose: This research aims to be one of the earliest studies to investigate tourism e-learning in Egypt, thus, it will initially shed light on the current standing of e-learning in Egypt before proceeding to: identify the present status of e-learning in Egyptian tourism higher education; explore the potential advantages and drawbacks of using…

Sexual promiscuity: knowledge of dangers in institutions of higher learning.

Science.gov (United States)

Ebong, R D

1994-06-01

Knowledge of dangers of sexual promiscuity was assessed in 2 institutions of higher learning. The objectives were to find out the knowledge of medical and social consequences as well as the factors responsible for sexual promiscuity among Nigerian youths. The study also assessed the discrepancies in societal concept of sex norms for males and females. The result was used as an index to determine the need for sex education for Nigerian youths. A total of 200 students (100 from each school) was assessed by random selection and use of a questionnaire. The result showed that students had a fair knowledge of sexual promiscuity, although in terms of medical consequences the knowledge was low for both groups. On social consequences, the knowledge was fair for both groups. Students agreed that lack of financial support and of supervision from parents and teachers were among the causes of sexual promiscuity. Recommendations were made for Health Education in these areas in institutions of higher learning. Also, recommendations were made for parental education on how to bring up, and care for, their adolescents to reduce the problems of sexual promiscuity. It was also recommended that a compulsory course on sexual promiscuity should be included in the syllabus in institutions of higher learning.

Patients With Fibromyalgia Have Significant Autonomic Symptoms But Modest Autonomic Dysfunction.

Science.gov (United States)

Vincent, Ann; Whipple, Mary O; Low, Phillip A; Joyner, Michael; Hoskin, Tanya L

2016-05-01

Research suggests that disordered autonomic function may be one contributor to deconditioning reported in fibromyalgia; however, no study to date has assessed these variables simultaneously with comprehensive measures. To characterize physical fitness and autonomic function with the use of clinically validated measures and subjective questionnaires between patients with fibromyalgia and healthy controls. Cross-sectional, observational, controlled study. Community sample of patients with fibromyalgia and healthy controls. Thirty patients with fibromyalgia and 30 pain and fatigue-free controls. Participants completed a battery of self-report questionnaires and physiological measures, including clinically validated measures of physical fitness and autonomic function. Six-Minute Walk Test total distance, maximal oxygen consumption as assessed by cardiopulmonary exercise testing, total steps using activity monitor, Composite Autonomic Scoring Scale as assessed by Autonomic Reflex Screen, total metabolic equivalents per week using the International Physical Activity Questionnaire, and self-reported autonomic symptoms via the 31-item Composite Autonomic Symptom Score questionnaire. Autonomic function, as assessed by self-report, was significantly different between patients and controls (P physical activity was not significantly different between patients and controls (P = .99), but levels of moderate and vigorous physical activity as measured by actigraphy were significantly lower in patients (P = .012 and P = .047, respectively). Exercise capacity (6-Minute Walk) was poorer in patients (P = .0006), but there was no significant difference in maximal volume of oxygen consumption (P = .07). Patients with fibromyalgia report more severe symptoms across all domains, including physical activity and autonomic symptoms, compared with controls, but the objective assessments only showed modest differences. Our results suggest that patients with widespread subjective impairment of

The role of professional objects in technology-enhanced learning environments in higher education

NARCIS (Netherlands)

Zitter, I.I.; Bruijn, E. de; Simons, P.R.J.; Cate, Th.J. ten

2010-01-01

We study project-based, technology-enhanced learning environments in higher education, which should produce, by means of specific mechanisms, learning outcomes in terms of transferable knowledge and learning-, thinking-, collaboration- and regulation-skills. Our focus is on the role of objects from

Supervised Learning Applied to Air Traffic Trajectory Classification

Science.gov (United States)

Bosson, Christabelle; Nikoleris, Tasos

2018-01-01

Given the recent increase of interest in introducing new vehicle types and missions into the National Airspace System, a transition towards a more autonomous air traffic control system is required in order to enable and handle increased density and complexity. This paper presents an exploratory effort of the needed autonomous capabilities by exploring supervised learning techniques in the context of aircraft trajectories. In particular, it focuses on the application of machine learning algorithms and neural network models to a runway recognition trajectory-classification study. It investigates the applicability and effectiveness of various classifiers using datasets containing trajectory records for a month of air traffic. A feature importance and sensitivity analysis are conducted to challenge the chosen time-based datasets and the ten selected features. The study demonstrates that classification accuracy levels of 90% and above can be reached in less than 40 seconds of training for most machine learning classifiers when one track data point, described by the ten selected features at a particular time step, per trajectory is used as input. It also shows that neural network models can achieve similar accuracy levels but at higher training time costs.

Empirical Validation of the Importance of Employees' Learning Motivation for Workplace E-Learning in Taiwanese Organisations

Science.gov (United States)

Chen, Hsiu-Ju; Kao, Chia-Hung

2012-01-01

E-learning systems, adopted by organisations for employee training to enhance employees' performance, are characterised by self-directed, autonomous learning. Learning motivation is then of importance in the design of e-learning practices in workplace. However, empirical study of the alignment of e-learning with individual learning needs and…

A model of e-learning uptake and continuance in Higher Educational Institutions

OpenAIRE

Pinpathomrat, Nakarin

2015-01-01

To predict and explain E-learning usage in higher educational institutes (HEIs) better, this research conceptualized E-learning usage as two steps, E-learning uptake and continuance. The aim was to build a model of effective uptake and continuance of E-learning in HEIs, or ‘EUCH’.The EUCH model was constructed by applying five grounded theories: Unified Theory of Acceptance and Use of Technology (UTAUT); Keller’s ARCS model; Theory of Reasoned Action (TRA); Cognitive Dissonance Theory (CDT); ...

A Study on a Group of Indian English as a Second Language Learners’ Perceptions of Autonomous Learning

Directory of Open Access Journals (Sweden)

Özgür Yıldırım

2012-04-01

Full Text Available Learner autonomy has been one of the most popular terms in the language learning field lately. Researchers have been conducting studies to see different aspects of learner autonomy and to bring different suggestions to teachers to promote autonomous learning in their classrooms. Students of a particular cultural background would not show the same level of readiness for learner autonomy as the students of another culture. Cultural and educational settings of the instruction affect how the teachers and students perceive the concept of learner autonomy, and these differences in perception obviously affect how the ways to promote learner autonomy work. As the perception and realization of learner autonomy changes depending on the cultural background, it is important to see the autonomy-related perspectives of different learners and teachers around the world. Thus, aiming to contribute the relevant literature from this standpoint, the main aim of this study was to explore four Indian English as a second language (ESL learners’ perceptions related to teacher and learner responsibilities in the language learning process and to get an idea of how ESL students in the Indian educational context perceive the concepts related to learner independence. Three interview sessions were conducted with the participants in order to reach the aim of the study. The data were analyzed according to three main categories: (a aspects of language learning for which the participants saw the teacher as the most responsible figure in the classroom; (b aspects of learning for which the participants considered students to be more responsible; (c aspects that both the teacher and the students share equal responsibility. It was hoped that the results of the study would provide guidance to teachers and researchers, especially the ones working with multicultural student groups, to understand the effects of culture on the interpretation of concepts related to learner autonomy.

A Study on a Group of Indian English as a Second Language Learners’ Perceptions of Autonomous Learning

Directory of Open Access Journals (Sweden)

Özgür YILDIRIM

2012-02-01

Full Text Available Learner autonomy has been one of the most popular terms in the language learning field lately. Researchers have been conducting studies to see different aspects of learner autonomy and to bring different suggestions to teachers to promote autonomous learning in their classrooms. Students of a particular cultural background would not show the same level of readiness for learner autonomy as the students of another culture. Cultural and educational settings of the instruction affect how the teachers and students perceive the concept of learner autonomy, and these differences in perception obviously affect how the ways to promote learner autonomy work. As the perception and realization of learner autonomy changes depending on the cultural background, it is important to see the autonomy-related perspectives of different learners and teachers around the world. Thus, aiming to contribute the relevant literature from this standpoint, the main aim of this study was to explore four Indian English as a second language (ESL learners’ perceptions related to teacher and learner responsibilities in the language learning process and to get an idea of how ESL students in the Indian educational context perceive the concepts related to learner independence. Three interview sessions were conducted with the participants in order to reach the aim of the study. The data were analyzed according to three main categories: (a aspects of language learning for which the participants saw the teacher as the most responsible figure in the classroom; (b aspects of learning for which the participants considered students to be more responsible; (c aspects that both the teacher and the students share equal responsibility. It was hoped that the results of the study would provide guidance to teachers and researchers, especially the ones working with multicultural student groups, to understand the effects of culture on the interpretation of concepts related to learner autonomy

Reinforcement learning: Solving two case studies

Science.gov (United States)

Duarte, Ana Filipa; Silva, Pedro; dos Santos, Cristina Peixoto

2012-09-01

Reinforcement Learning algorithms offer interesting features for the control of autonomous systems, such as the ability to learn from direct interaction with the environment, and the use of a simple reward signalas opposed to the input-outputs pairsused in classic supervised learning. The reward signal indicates the success of failure of the actions executed by the agent in the environment. In this work, are described RL algorithmsapplied to two case studies: the Crawler robot and the widely known inverted pendulum. We explore RL capabilities to autonomously learn a basic locomotion pattern in the Crawler, andapproach the balancing problem of biped locomotion using the inverted pendulum.

The Role That Socioaffective Practices Play in Third Graders' Autonomous Learning (El papel de las prácticas socioafectivas en el aprendizaje autónomo de estudiantes de tercer grado)

Science.gov (United States)

Perdomo Toro, Jhonatan; Rico González, Ángela Milena; Huepa Salcedo, Nury Catherine

2011-01-01

In this article we describe and analyze how autonomous learning emerges in third graders' socioaffective practices as reconstructed in written narratives. Results were obtained by analyzing and reflecting on classroom observation, interviews and written narratives done by the students which let us appreciate different behaviors and reactions the…

Autonomous Soil Assessment System: A Data-Driven Approach to Planetary Mobility Hazard Detection

Science.gov (United States)

Raimalwala, K.; Faragalli, M.; Reid, E.

2018-04-01

The Autonomous Soil Assessment System predicts mobility hazards for rovers. Its development and performance are presented, with focus on its data-driven models, machine learning algorithms, and real-time sensor data fusion for predictive analytics.

The Role of Higher Education in Promoting Lifelong Learning. UIL Publication Series on Lifelong Learning Policies and Strategies: No. 3

Science.gov (United States)

Yang, Jin, Ed.; Schneller, Chripa, Ed.; Roche, Stephen, Ed.

2015-01-01

There is no doubt that universities have a vital role to play in promoting lifelong learning. This publication presents possible ways of expanding and transforming higher education to facilitate lifelong learning in different socio-economic contexts. Nine articles address the various dimensions of the role of higher education in promoting lifelong…

Can Online Learning Bend the Higher Education Cost Curve?

OpenAIRE

David J. Deming; Claudia Goldin; Lawrence F. Katz; Noam Yuchtman

2015-01-01

We examine whether online learning technologies have led to lower prices in higher education. Using data from the Integrated Postsecondary Education Data System, we show that online education is concentrated in large for-profit chains and less-selective public institutions. We find that colleges with a higher share of online students charge lower tuition prices. We present evidence of declining real and relative prices for full-time undergraduate online education from 2006 to 2013. Although t...

Language and Culture Learning in Higher Education via Telecollaboration

Science.gov (United States)

Chun, Dorothy M.

2015-01-01

This article focuses on the ways of researching the process of designing, developing, and using telecollaboration (also known as online intercultural exchange) to facilitate the learning of both linguistic and "intercultural communicative competence" (ICC) in higher education courses in different educational contexts in the United…

Soft Skills at the Malaysian Institutes of Higher Learning

Science.gov (United States)

Shakir, Roselina

2009-01-01

This article discusses human capital development through the seven soft skills elements which comprise communication skills, critical thinking and problem solving skills, team work, lifelong learning and information management skills, entrepreneurship skills, ethics, and professional moral and leadership skills. The Ministry of Higher Education,…

Framing the ultimatum game: gender differences and autonomic responses.

Science.gov (United States)

Sarlo, Michela; Lotto, Lorella; Palomba, Daniela; Scozzari, Simona; Rumiati, Rino

2013-01-01

The present study aimed at investigating whether the way offers are framed in the Ultimatum Game (UG) affects behavioral and autonomic responses in men and women. The "I give you" and "I take" expressions were used as gain and loss frames, respectively. Skin conductance and heart rate were recorded as indices of autonomic activation in response to unfair, mid-value, and fair offers. Acceptance rates were higher in men than in women under the gain frame. Moreover, men showed higher acceptance rates under the gain than under the loss frame with mid-value offers, whereas women's choices were not affected by frame. On the physiological level, men produced differential autonomic response patterns during decision-making when offers were presented under gain and loss framing. The "I take" frame, by acting as a loss frame, elicited in men the characteristic defensive response pattern that is evoked by aversive stimulation, in which increases in skin conductance are coupled with increases in heart rate. On the other hand, the "I give you" frame, by acting as a gain frame, elicited in men increases in skin conductance associated with prevailing heart rate deceleratory responses, reflecting a state of enhanced attention and orienting. In contrast, women's autonomic reactivity was not affected by frame, consistent with behavioral results. Phasic changes in heart rate were crucial in revealing differential functional significance of skin conductance responses under different frames in men, thus questioning the assumption that this autonomic measure can be used as an index of negative emotional arousal in the UG.

Modeling Students' Readiness to Adopt Mobile Learning in Higher Education: An Empirical Study

Science.gov (United States)

Al-Adwan, Ahmad Samed; Al-Madadha, Amr; Zvirzdinaite, Zahra

2018-01-01

Mobile devices are increasingly coming to penetrate people's daily lives. Mobile learning (m-learning) is viewed as key to the coming era of electronic learning (e-learning). In the meantime, the use of mobile devices for learning has made a significant contribution to delivering education among higher education students worldwide. However, while…

A Peer-Assisted Learning Experience in Computer Programming Language Learning and Developing Computer Programming Skills

Science.gov (United States)

Altintas, Tugba; Gunes, Ali; Sayan, Hamiyet

2016-01-01

Peer learning or, as commonly expressed, peer-assisted learning (PAL) involves school students who actively assist others to learn and in turn benefit from an effective learning environment. This research was designed to support students in becoming more autonomous in their learning, help them enhance their confidence level in tackling computer…

A Cross-Cultural Comparison of Student Learning Patterns in Higher Education

Science.gov (United States)

Marambe, Kosala N.; Vermunt, Jan D.; Boshuizen, Henny P. A.

2012-01-01

The aim of this study was to compare student learning patterns in higher education across different cultures. A meta-analysis was performed on three large-scale studies that had used the same research instrument: the Inventory of learning Styles (ILS). The studies were conducted in the two Asian countries Sri Lanka and Indonesia and the European…

Semi-Autonomous Systems Laboratory

Data.gov (United States)

Federal Laboratory Consortium — VisionThe Semi-Autonomous Systems Lab focuses on developing a comprehensive framework for semi-autonomous coordination of networked robotic systems. Semi-autonomous...

Studies on learning by detecting impasse and by resulting it for building large scale knowledge base for autonomous plant

International Nuclear Information System (INIS)

Sawaragi, Tetsuo

1997-03-01

The acquisition of knowledge from human experts in an exhaustive way is extremely difficult, and even if it were possible, the maintenance of such a large knowledge base for realtime operation is not an easy task. The autonomous system having just incomplete knowledge would face with so many problems that contradicts with the system's current beliefs and/or are novel or unknown to the system. Experienced humans can manage to do with such novelty due to their generalizing ability and analogical inference based on the repertoire of precedents, even if they with new problems. Moreover, through experiencing such breakdowns and impasse, they can acquire some novel knowledge by their proactive attempts to interpret a provided problem as well as by updating their beliefs and contents and organization of their prior knowledge. We call such a style of learning as impasse-driven learning, meaning that learning dose occur being motivated by facing with contradiction and impasse. The related studies concerning with such a style of leaning have been studied within a field of machine learning of artificial intelligence so far as well as within a cognitive science field. In this paper, we at first summarize an outline of machine learning methodologies, and then, we detail about the impasse-driven learning. We discuss that from two different perspective of learning, one is from deductive and analogical learning and the other one is from inductive conceptual learning (i.e., concept formation or generalization-based memory). The former mainly discuss about how the learning system updates its prior beliefs and knowledge so that it can explain away the current contradiction using some meta-cognition heuristics. The latter attempts to assimilate a contradicting problem into its prior memory structure by dynamically reorganizing a collection of the precedents. We present those methodologies, and finally we introduce a case study of concept formation for plant anomalies and its usage for

Characteristics of workplace-based learning across higher health sciences education

DEFF Research Database (Denmark)

Mørcke, Anne Mette; Christensen, Mette Krogh; Henriksen, Jette

the considerable differences found across the three educations concerning supervisors’ roles and expectations of students’ ability to master competences, as well as the differences in opportunities for independent learning activities at the workplaces. This might be rooted in the different traditions underpinning......Characteristics of workplace-based learning across higher health sciences education Background Workplace-based learning is a traditional part of health sciences educations and we find a rich literature on some of the core features. However, a number of questions remain and we contribute...... by exploring the characteristics of the learning activities at workplaces and students’ and supervisors’ roles during clerkships across educations. Summary of work We performed a short-term ethnographic study in medicine, nursing and sports science. Data was collected during nine days observing skills training...

Self-organizing adaptive map: autonomous learning of curves and surfaces from point samples.

Science.gov (United States)

Piastra, Marco

2013-05-01

Competitive Hebbian Learning (CHL) (Martinetz, 1993) is a simple and elegant method for estimating the topology of a manifold from point samples. The method has been adopted in a number of self-organizing networks described in the literature and has given rise to related studies in the fields of geometry and computational topology. Recent results from these fields have shown that a faithful reconstruction can be obtained using the CHL method only for curves and surfaces. Within these limitations, these findings constitute a basis for defining a CHL-based, growing self-organizing network that produces a faithful reconstruction of an input manifold. The SOAM (Self-Organizing Adaptive Map) algorithm adapts its local structure autonomously in such a way that it can match the features of the manifold being learned. The adaptation process is driven by the defects arising when the network structure is inadequate, which cause a growth in the density of units. Regions of the network undergo a phase transition and change their behavior whenever a simple, local condition of topological regularity is met. The phase transition is eventually completed across the entire structure and the adaptation process terminates. In specific conditions, the structure thus obtained is homeomorphic to the input manifold. During the adaptation process, the network also has the capability to focus on the acquisition of input point samples in critical regions, with a substantial increase in efficiency. The behavior of the network has been assessed experimentally with typical data sets for surface reconstruction, including suboptimal conditions, e.g. with undersampling and noise. Copyright © 2012 Elsevier Ltd. All rights reserved.

A Framework for Institutional Adoption and Implementation of Blended Learning in Higher Education

Science.gov (United States)

Graham, Charles R.; Woodfield, Wendy; Harrison, J. Buckley

2013-01-01

There has been rapid growth in blended learning implementation and research focused on course-level issues such as improved learning outcomes, but very limited research focused on institutional policy and adoption issues. More institutional-level blended learning research is needed to guide institutions of higher education in strategically…

The Retention of Tacit Knowledge in Higher Learning Administration

Science.gov (United States)

Muniz, Andrew Everardo

2013-01-01

Higher education institutions (HEIs) could be among organizations without effective programs for preserving tacit knowledge (TK) when knowledge workers retire, quit, take a leave of absence, or are terminated. The theoretical underpinnings of this study were neuroscience related to brain learning physiology, transformational leadership theory,…

Impact of Electronic Portfolios on Prospective Teachers' Participation, Motivation, and Autonomous Learning

Science.gov (United States)

Gámiz-Sánchez, Vanesa-María; Gallego-Arrufat, María-Jesús; Crisol-Moya, Emilio

2016-01-01

This study explores the impact of electronic portfolios on undergraduate learning in higher education. Based on a descriptive study, it analyses the prospective teacher's perception of use of these tools (electronic portfolio in Moodle-Mahara, in the institutional environment of a university in southern Europe), examining the variables…

Why Do They Study There? Diary Research into Students' Learning Space Choices in Higher Education

Science.gov (United States)

Beckers, Ronald; van der Voordt, Theo; Dewulf, Geert

2016-01-01

Higher education learning and teaching methods have changed while most educational buildings are still rather traditional. Yet, there is an increasing interest in whether we can educate today's higher education students in yesterday's buildings. This paper aims to contribute to this debate by studying the learning space choices of higher education…

The Effects of Applying Betts’ Autonomous Learner Model on Iranian Students

Directory of Open Access Journals (Sweden)

Nahid Yarahmadzehi

2012-09-01

Full Text Available Classroom-based, teacher-directed language learning has been dominant in language teaching and learning for decades; however, the notion of autonomy is not novel to language teachers. Since the publication of Holec’s book, Autonomy and Foreign Language Learning (1981, autonomy in language learning has been a significant issue for discussion in relation to language learning practices and language teaching principles. Many ESL researchers have turned their attention to learner autonomy in classroom settings; however, learner autonomy in the Iranian context within self-access settings, classroom settings, and school curriculum has not been adequately addressed in the literature. To fill the research gap mentioned above, the present study aims to determine: 1. if Betts’s Autonomous Learner Model (Betts & Kercher, 1999 has any significant effect in terms of students’ self-directed learning readiness, and 2. if Betts’s Autonomous Learner Model has any significant effect on students’ English language proficiency. Adopting a quasi-experimental design, the study involved a comparison between the experimental and the control group. Two instruments were used: Gugliemino’s (1977 Self-Directed Learning Readiness Scale (SDLRS; and standardized TOEFL test. 30 students (group A were taught English based on a pedagogical model, which blended Betts’s ALM with classroom instruction and 30 students (group B were taught through a traditional teacher-directed method. Finally, after six months of treatment, TOEFL test and SDLRS test were administered as the post-test and the results were analyzed by means of SPSS software. The results showed that ALM can work with Iranian students as evidenced by generally average performance on SDLRS and TOEFL post-tests.

Student Learning in the Information Age. American Council on Education Series on Higher Education.

Science.gov (United States)

Breivik, Patricia Senn

This book discusses resource-based learning in higher education. One premise of resource-based learning is that as students become able to select their own learning materials from information resources, they become active, independent learners, while professors become learning facilitators in cooperation with librarians and other information…

QUALITY ASSURANCE IN RWANDAN HIGHER LEARNING EDUCATION: IS THE SYSTEM ADAPTIVE OR COMPLEX?

Directory of Open Access Journals (Sweden)

Nathan Kanuma Taremwa

2014-01-01

Full Text Available Developing knowledge infrastructure by massive investments in education and training are taken as a benchmark in facilitating the acceleration and possible increases in skills, capacities and competences of Rwandan people has become apriority issue in the recent years. This notion is relevant to vision 2020 where human resource development and building of a knowledge based economy are fundamental pillars. In the past years, several policy reforms have taken place in education sector. However, the overarching question is if such reforms are becoming adaptive or complex and if such reforms will not compromise the quality of education in higher learning education in Rwanda? The main objective of the study was to investigate the impact of changes in Higher Learning Institutions on the quality of education in Rwanda. This research had three hypotheses, namely; there is an impact of changes in Higher Learning Institutions on quality of education in Rwanda; the current complexity in Rwandan education system is affecting the quality of education in HLIs; Tailoring education system to the regional reforms and implementation strategies is affecting the quality of education in Rwanda. This study was carried out in 10 higher learning institutions (5 public, 5 private and 2 Ministry of Education directorates (HEC and REB. Key informants were the senior management/head of institutions, experienced academic staff, and students. The parameters considered included; the learning methods, assessment styles, workloads, language of instruction, merging of public HLIs, curriculum, and the transformation of some private higher learning institutions into company forms. Main research instruments were questionnaires and interview guides. Both qualitative and quantitative research was collected. Analyses were done using SPSS and excel packages. Major findings indicate that the system is still in transition with indicative gaps. Ample time would therefore be necessary for

Tablets for Learning in Higher Education:The Top 10 Affordances

OpenAIRE

Godsk, Mikkel

2013-01-01

Based on a small-scale literature review this paper identifies the top 10 affordances of post PC tablets (sometimes referred to as ‘tablet computers’) for higher education in settings where the technology is used for learning. The review shows that the predominant affordances of the technology are related to its ability to support engaging, inclusive, and/or collaborative learning, to provide flexibility in place, and to include multimedia and interactive content in teaching practice. However...

Autonomous dynamics in neural networks: the dHAN concept and associative thought processes

Science.gov (United States)

Gros, Claudius

2007-02-01

The neural activity of the human brain is dominated by self-sustained activities. External sensory stimuli influence this autonomous activity but they do not drive the brain directly. Most standard artificial neural network models are however input driven and do not show spontaneous activities. It constitutes a challenge to develop organizational principles for controlled, self-sustained activity in artificial neural networks. Here we propose and examine the dHAN concept for autonomous associative thought processes in dense and homogeneous associative networks. An associative thought-process is characterized, within this approach, by a time-series of transient attractors. Each transient state corresponds to a stored information, a memory. The subsequent transient states are characterized by large associative overlaps, which are identical to acquired patterns. Memory states, the acquired patterns, have such a dual functionality. In this approach the self-sustained neural activity has a central functional role. The network acquires a discrimination capability, as external stimuli need to compete with the autonomous activity. Noise in the input is readily filtered-out. Hebbian learning of external patterns occurs coinstantaneous with the ongoing associative thought process. The autonomous dynamics needs a long-term working-point optimization which acquires within the dHAN concept a dual functionality: It stabilizes the time development of the associative thought process and limits runaway synaptic growth, which generically occurs otherwise in neural networks with self-induced activities and Hebbian-type learning rules.

SOVEREIGN: An autonomous neural system for incrementally learning planned action sequences to navigate towards a rewarded goal.

Science.gov (United States)

Gnadt, William; Grossberg, Stephen

2008-06-01

How do reactive and planned behaviors interact in real time? How are sequences of such behaviors released at appropriate times during autonomous navigation to realize valued goals? Controllers for both animals and mobile robots, or animats, need reactive mechanisms for exploration, and learned plans to reach goal objects once an environment becomes familiar. The SOVEREIGN (Self-Organizing, Vision, Expectation, Recognition, Emotion, Intelligent, Goal-oriented Navigation) animat model embodies these capabilities, and is tested in a 3D virtual reality environment. SOVEREIGN includes several interacting subsystems which model complementary properties of cortical What and Where processing streams and which clarify similarities between mechanisms for navigation and arm movement control. As the animat explores an environment, visual inputs are processed by networks that are sensitive to visual form and motion in the What and Where streams, respectively. Position-invariant and size-invariant recognition categories are learned by real-time incremental learning in the What stream. Estimates of target position relative to the animat are computed in the Where stream, and can activate approach movements toward the target. Motion cues from animat locomotion can elicit head-orienting movements to bring a new target into view. Approach and orienting movements are alternately performed during animat navigation. Cumulative estimates of each movement are derived from interacting proprioceptive and visual cues. Movement sequences are stored within a motor working memory. Sequences of visual categories are stored in a sensory working memory. These working memories trigger learning of sensory and motor sequence categories, or plans, which together control planned movements. Predictively effective chunk combinations are selectively enhanced via reinforcement learning when the animat is rewarded. Selected planning chunks effect a gradual transition from variable reactive exploratory

Development and Validation of the Blended Learning Environment Instrument (BLEI) in Higher Education

Science.gov (United States)

Aljahni, Areej; Al-Begain, Khalid; Skinner, Heather

2014-01-01

Part of ongoing research into the efficacy of blended learning in higher education within the Kingdom of Saudi Arabia (KSA). The need for, and development of, a Blended Learning Environment Instrument (BLEI) are explained. This new instrument assesses student perceptions across five core aspects of blended learning environments: Infrastructure,…

Building Bridges: Seeking Structure and Direction for Higher Education Motivated Learning Strategy Models

Science.gov (United States)

Fryer, Luke K.

2017-01-01

Many of our current higher education (HE) learning strategy models intersect at important points. At the same time, these theories also often demonstrate important unique perspectives on student learning within HE. Currently, research with one learning strategy model rarely leads to developments in others, as each group of researchers works in…

Technology-enhanced learning in transnational higher education.

Science.gov (United States)

Arunasalam, Nirmala

2016-11-24

Some university schools of nursing in Australia and the UK have developed collaborative links with Malaysia to deliver part-time Transnational Higher Education (TNHE) post-registration top-up nursing degree courses. It enables nurses trained to diploma level to upgrade to a degree qualification. The views of 18 Malaysian nurses who had studied with one Australian and two UK TNHE universities were explored using a hermeneutic phenomenological approach. Participants recruited via convenience and snowball sampling methods were interviewed in English and Bahasa Malaysia (Malaysian language). Thematic analysis were used to analyse data. Findings indicated nurses' frustration with technology-enhanced teaching and learning and a lack of support throughout the programme. Although nurses developed confidence in using computer technology, they remained disappointed with the level of academic support. The data and some useful strategies outlined provide important insights for TNHE providers, the Malaysian Nursing Board and private hospital employers to consider for enhancing nurses learning and experiences.

Collaborative Learning in Higher Education: Evoking Positive Interdependence.

Science.gov (United States)

Scager, Karin; Boonstra, Johannes; Peeters, Ton; Vulperhorst, Jonne; Wiegant, Fred

Collaborative learning is a widely used instructional method, but the learning potential of this instructional method is often underused in practice. Therefore, the importance of various factors underlying effective collaborative learning should be determined. In the current study, five different life sciences undergraduate courses with successful collaborative-learning results were selected. This study focuses on factors that increased the effectiveness of collaboration in these courses, according to the students. Nine focus group interviews were conducted and analyzed. Results show that factors evoking effective collaboration were student autonomy and self-regulatory behavior, combined with a challenging, open, and complex group task that required the students to create something new and original. The design factors of these courses fostered a sense of responsibility and of shared ownership of both the collaborative process and the end product of the group assignment. In addition, students reported the absence of any free riders in these group assignments. Interestingly, it was observed that students seemed to value their sense of achievement, their learning processes, and the products they were working on more than their grades. It is concluded that collaborative learning in higher education should be designed using challenging and relevant tasks that build shared ownership with students. © 2016 K. Scager et al. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

An integrated mentoring strategy for service learning in higher ...

African Journals Online (AJOL)

Higher education in South Africa, in general, has been charged with the lack of clear strategy and commitment to relevant teaching and research that is grounded in experiential and emancipatory approaches to learning, especially given the dearth of institutional responsiveness to social responsibility. The result is that ...

Evidence-Based Higher Education – Is the Learning Styles ‘Myth’ Important?

Science.gov (United States)

Newton, Philip M.; Miah, Mahallad

2017-01-01

The basic idea behind the use of ‘Learning Styles’ is that learners can be categorized into one or more ‘styles’ (e.g., Visual, Auditory, Converger) and that teaching students according to their style will result in improved learning. This idea has been repeatedly tested and there is currently no evidence to support it. Despite this, belief in the use of Learning Styles appears to be widespread amongst schoolteachers and persists in the research literature. This mismatch between evidence and practice has provoked controversy, and some have labeled Learning Styles a ‘myth.’ In this study, we used a survey of academics in UK Higher Education (n = 114) to try and go beyond the controversy by quantifying belief and, crucially, actual use of Learning Styles. We also attempted to understand how academics view the potential harms associated with the use of Learning Styles. We found that general belief in the use of Learning Styles was high (58%), but lower than in similar previous studies, continuing an overall downward trend in recent years. Critically the percentage of respondents who reported actually using Learning Styles (33%) was much lower than those who reported believing in their use. Far more reported using a number of techniques that are demonstrably evidence-based. Academics agreed with all the posited weaknesses and harms of Learning Styles theory, agreeing most strongly that the basic theory of Learning Styles is conceptually flawed. However, a substantial number of participants (32%) stated that they would continue to use Learning Styles despite being presented with the lack of an evidence base to support them, suggesting that ‘debunking’ Learning Styles may not be effective. We argue that the interests of all may be better served by promoting evidence-based approaches to Higher Education. PMID:28396647

Authentic assessment For autonomous learning

NARCIS (Netherlands)

Vinke, A.A.; Hummels, C.C.M.

2010-01-01

Industrial Design at Eindhoven University of Technology focuses on designing intelligent systems, products and related services for societal transformation. Our holistic and integrative approach to learning clearly shows in the end-ofterm assessments. Students are not assessed at the level of

Flocking algorithm for autonomous flying robots.

Science.gov (United States)

Virágh, Csaba; Vásárhelyi, Gábor; Tarcai, Norbert; Szörényi, Tamás; Somorjai, Gergő; Nepusz, Tamás; Vicsek, Tamás

2014-06-01

Animal swarms displaying a variety of typical flocking patterns would not exist without the underlying safe, optimal and stable dynamics of the individuals. The emergence of these universal patterns can be efficiently reconstructed with agent-based models. If we want to reproduce these patterns with artificial systems, such as autonomous aerial robots, agent-based models can also be used in their control algorithms. However, finding the proper algorithms and thus understanding the essential characteristics of the emergent collective behaviour requires thorough and realistic modeling of the robot and also the environment. In this paper, we first present an abstract mathematical model of an autonomous flying robot. The model takes into account several realistic features, such as time delay and locality of communication, inaccuracy of the on-board sensors and inertial effects. We present two decentralized control algorithms. One is based on a simple self-propelled flocking model of animal collective motion, the other is a collective target tracking algorithm. Both algorithms contain a viscous friction-like term, which aligns the velocities of neighbouring agents parallel to each other. We show that this term can be essential for reducing the inherent instabilities of such a noisy and delayed realistic system. We discuss simulation results on the stability of the control algorithms, and perform real experiments to show the applicability of the algorithms on a group of autonomous quadcopters. In our case, bio-inspiration works in two ways. On the one hand, the whole idea of trying to build and control a swarm of robots comes from the observation that birds tend to flock to optimize their behaviour as a group. On the other hand, by using a realistic simulation framework and studying the group behaviour of autonomous robots we can learn about the major factors influencing the flight of bird flocks.

From Autonomous to Peer E-Learning: How the FReE Team Turned ePortfolio Into a Social Network Between First and Final-Year Modern Languages Students

Science.gov (United States)

Penet, Jean-Christophe

2015-01-01

In this case study, I will show how I redesigned the curriculum of a post-A Level French module in order to improve students' career awareness and their soft--interpersonal and transferable--skills through autonomous e-learning. In the first phase of the project (2012/13), students were encouraged to start thinking in French about their career…

PROMOTING AUTONOMOUS LEARNING IN READING CLASS

Directory of Open Access Journals (Sweden)

Agus Sholeh

2015-11-01

Full Text Available To have good acquisition and awareness in reading, the learners need a long and continuous process, and therefore, they are required to have autonomy in learning reading. This study aims to promote learner autonomy in reading class by combining learner-centered reading teaching and extensive reading teaching. Learner-centered reading teaching was carried out through group discussion, presentation, and language awareness activities. Meanwhile, extensive reading teaching was done to review the learners‘ materials in presentation and reinforce their acquisition. Those two different approaches were applied due to differences on learner's characteristics and needs. The result showed some success in the practice of autonomy, indicated by changes on learners' attitude. However, many learners showed that they focused more on obtaining score than on developing their language acquisition. By implementing the approach, the teacher can assist learners to be aware of their ability to learn independently and equip them with the skill needed for long-life learning.

Affordances of Learning Technologies in Higher Education Multicultural Environments

Science.gov (United States)

Arenas, Edilson

2015-01-01

A cluster of research has been conducted in higher education to investigate the affordances (action possibilities) and the influence information and communication technologies (ICT) may have on students' learning experiences and outcomes. Such studies have given rise to the implementation of a wide range of educational frameworks with a great deal…

Gaussian Processes for Data-Efficient Learning in Robotics and Control.

Science.gov (United States)

Deisenroth, Marc Peter; Fox, Dieter; Rasmussen, Carl Edward

2015-02-01

Autonomous learning has been a promising direction in control and robotics for more than a decade since data-driven learning allows to reduce the amount of engineering knowledge, which is otherwise required. However, autonomous reinforcement learning (RL) approaches typically require many interactions with the system to learn controllers, which is a practical limitation in real systems, such as robots, where many interactions can be impractical and time consuming. To address this problem, current learning approaches typically require task-specific knowledge in form of expert demonstrations, realistic simulators, pre-shaped policies, or specific knowledge about the underlying dynamics. In this paper, we follow a different approach and speed up learning by extracting more information from data. In particular, we learn a probabilistic, non-parametric Gaussian process transition model of the system. By explicitly incorporating model uncertainty into long-term planning and controller learning our approach reduces the effects of model errors, a key problem in model-based learning. Compared to state-of-the art RL our model-based policy search method achieves an unprecedented speed of learning. We demonstrate its applicability to autonomous learning in real robot and control tasks.

Autonomous Robot Navigation based on Visual Landmarks

DEFF Research Database (Denmark)

Livatino, Salvatore

2005-01-01

The use of landmarks for robot navigation is a popular alternative to having a geometrical model of the environment through which to navigate and monitor self-localization. If the landmarks are defined as special visual structures already in the environment then we have the possibility of fully a...... automatically learn and store visual landmarks, and later recognize these landmarks from arbitrary positions and thus estimate robot position and heading.......The use of landmarks for robot navigation is a popular alternative to having a geometrical model of the environment through which to navigate and monitor self-localization. If the landmarks are defined as special visual structures already in the environment then we have the possibility of fully...... autonomous navigation and self-localization using automatically selected landmarks. The thesis investigates autonomous robot navigation and proposes a new method which benefits from the potential of the visual sensor to provide accuracy and reliability to the navigation process while relying on naturally...

Open-Source Learning Management Systems: A Predictive Model for Higher Education

Science.gov (United States)

van Rooij, S. Williams

2012-01-01

The present study investigated the role of pedagogical, technical, and institutional profile factors in an institution of higher education's decision to select an open-source learning management system (LMS). Drawing on the results of previous research that measured patterns of deployment of open-source software (OSS) in US higher education and…

A National Study of Online Learning Leaders in US Higher Education

Science.gov (United States)

Fredericksen, Eric E.

2017-01-01

Online learning in US higher education continues to grow dramatically. The most recent estimates indicate that about 30% of all students enroll in at least one online course (Allen & Seamen, 2016). As this important type of academic offering has become increasingly important to institutions of higher education, Presidents and Provosts have…

The science of autonomy: integrating autonomous systems with the ISR enterprise

Science.gov (United States)

Creech, Gregory S.

2013-05-01

Consider a future where joint, unmanned operations are the norm. A fleet of autonomous airborne systems conducts overwatch and surveillance for their land and sea brethren, accurately reporting adversary position and aptly guiding the group of autonomous land and sea warriors into position to conduct a successful takedown. Sounds a bit like science fiction, but reality is just around the corner. The DoD ISR Enterprise has evolved significantly over the past decade and has learned many a harsh lesson along the way. Autonomous system operations supporting the warfighter have also evolved, arguably to a point where integration into the ISR Enterprise is a must, in order to reap the benefits that these highly capable systems possess. Achieving meaningful integration, however, is not without its challenges. The ISR Enterprise, for example, is still plagued with "stovepipe" efforts - sufficiently filling a niche for an immediate customer need, but doing little to service the needs of the greater enterprise. This paper will examine the science of autonomy, the challenges and potential benefits that it brings to the ISR Enterprise and recommendations that will facilitate smooth integration of emerging autonomous systems with the mature suite of traditional manned and unmanned ISR platforms.

Students' Personal Networks in Virtual and Personal Learning Environments: A Case Study in Higher Education Using Learning Analytics Approach

Science.gov (United States)

Casquero, Oskar; Ovelar, Ramón; Romo, Jesús; Benito, Manuel; Alberdi, Mikel

2016-01-01

The main objective of this paper is to analyse the effect of the affordances of a virtual learning environment and a personal learning environment (PLE) in the configuration of the students' personal networks in a higher education context. The results are discussed in light of the adaptation of the students to the learning network made up by two…

The Integrative Principle: Higher Education and Work-Based Learning in the UK.

Science.gov (United States)

Saunders, Murray

1995-01-01

The United Kingdom's developing policy to integrate higher education curriculum and the demands of the workplace is explored, particularly in the context of undergraduate and graduate programs based on learning within the workplace. The policy itself, the relationship between work-based learning and conventional college instruction, and validation…

Web-Based Reading Annotation System with an Attention-Based Self-Regulated Learning Mechanism for Promoting Reading Performance

Science.gov (United States)

Chen, Chih-Ming; Huang, Sheng-Hui

2014-01-01

Due to the rapid development of information technology, web-based learning has become a dominant trend. That is, learners can often learn anytime and anywhere without being restricted by time and space. Autonomic learning primarily occurs in web-based learning environments, and self-regulated learning (SRL) is key to autonomic learning…

Commande et planification de trajectoires pour la navigation de véhicules autonomes

OpenAIRE

Tagne Fokam , Gilles

2014-01-01

My research focuses on trajectory planning and control of autonomous vehicles. This work is a part of an extremely ambitious project launched by the Heudiasyc laboratory about autonomous driving at high speed (longitudinal speed greater to 5m/s ~= 18 km/h). With regard to the control of autonomous vehicles at high speed, a lateral controler using higher-order sliding mode control is proposed. Given the implicit similarity between the sliding mode and the principle of immersion and invariance,...

Fourth Issue of the Journal of Problem Based Learning in Higher Education

DEFF Research Database (Denmark)

Davidsen, Jacob; Ryberg, Thomas

2015-01-01

We are pleased to introduce the fourth issue of the Journal of Problem Based Learning in Higher Education. Current issue is composed of five research papers and two PBL cases. These address different aspects of PBL in higher education as and represent an international experiences and knowledge...... with contributions from Brazil, Denmark, Germany and Morocco. The first three papers and the two cases touch upon the role of the teacher in facilitating problem based learning processes. These papers address the complex questions of how teachers can actually implement and teach PBL to students. The fourth paper...... a diverse set of aspects related to research in Problem Based Learning: teachers and supervisors roles, implementation of PBL curricular, assessment formats supporting PBL and new advances in combining technology and PBL....

Signature Concepts of Key Researchers in Higher Education Teaching and Learning

Science.gov (United States)

Kandlbinder, Peter

2013-01-01

Early career university teachers often have limited experience of the higher education literature making it difficult for them to identify what ideas have become central to justifying what university teachers ought to be doing in higher education teaching and learning. A review of the research literature in journals focused on teaching and…

Applied Drama and the Higher Education Learning Spaces: A Reflective Analysis

Science.gov (United States)

Moyo, Cletus

2015-01-01

This paper explores Applied Drama as a teaching approach in Higher Education learning spaces. The exploration takes a reflective analysis approach by first examining the impact that Applied Drama has had on my career as a Lecturer/Educator/Teacher working in Higher Education environments. My engagement with Applied Drama practice and theory is…

A Proposal to Enhance the Use of Learning Platforms in Higher Education

Science.gov (United States)

Marques, Bertil P.; Villate, Jaime E.; Vaz de Carvalho, Carlos

2015-01-01

The results of several studies conducted to analyze the quantitative and qualitative use of learning technologies in Higher Education in Portugal showed that, in general, these technologies are not used systematically and effectively and e-learning platforms tend to be relegated to repositories of contents rather than as full-fledged tools…

YouTube as Engagement and Learning Tool in Higher Education ...

African Journals Online (AJOL)

pc

2018-03-05

Mar 5, 2018 ... of YouTube as a tool for education and participation in higher education institutions. ... teachers to apply in the teaching methods and encourage students to use in the learning ..... information profiles. • Increasing the virtual ...

Autonomic Symptoms in Migraineurs: Are They of Clinical Importance

Directory of Open Access Journals (Sweden)

Aysel Milanl›o¤lu

2012-06-01

Full Text Available Aim: The aim of this study was to evaluate the presence of autonomic symptoms in migraine patients with and without aura and to investigate whether there is an association between expression of autonomic symptoms and disease duration, headache side, attack duration and frequency. Methods: The study sample comprised 82 subjects in headachefree phase including 20 migraine with aura patients and 62 - without aura; 61 were females (74.39% and 21 were males (25.61%. The mean headache frequency was 2.63±1.29 per month and the mean duration of headache occurrence was 10.04±7.26 years from the first episode. The subjects were asked whether or not they had autonomic symptoms like diaphoresis, diarrhea, eyelid oedema, pallor, flushing, syncope or syncope-like episode, constipation, palpitation, diuresis, blurred vision, sensation of chills and coldness during each migraine headache. Results: Of all 82 migraine patients, 50 (60.98% experienced at least one of the autonomic symptoms during the attack periods. The most common symptom was flushing (39.2%. Among the autonomic symptoms, syncope or syncope-like episode was significantly more in patients without aura compared to those with aura (p<0.05. In this study, patients who experienced autonomic symptoms during their headache attack had statistically significantly higher attack frequency (p=0.019. Conclusion: This result indicate that migraine patients with autonomic nervous system involvement have more frequent headaches, therefore these patients should be particularly and cautiously investigated. (The Medical Bulletin of Haseki 2011; 49: 62-6

Autonomous quality assurance and troubleshooting

Science.gov (United States)

DuPlain, Ronald F.; Radziwill, Nicole M.; Shelton, Amy L.

2006-06-01

To improve operational availability (the proportion of time that a telescope is able to accomplish what a visiting observer wants at the time the observation is scheduled), response time to faults must be minimized. One way this can be accomplished is by characterizing the relationships and interdependencies between components in a control system, developing algorithms to identify the root cause of a problem, and capturing expert knowledge of a system to simplify the process of troubleshooting. Results from a prototype development are explained, along with deployment issues. Implications for the future, such as effective knowledge representation and management, and learning processes which integrate autonomous and interactive components, are discussed.

Three Theses on Teaching and Learning in Higher Education

Science.gov (United States)

Hagstrom, Eva; Lindberg, Owe

2013-01-01

In our article, we explore the possibility of formulating theses about teaching as one way to use research as a basis for educational action. The theses are formulated from current educational research on teaching and learning in higher education. We also explore the potential for action and the consequences derived from the theses. With our…

Outdoor Fieldwork in Higher Education: Learning from Multidisciplinary Experience

Science.gov (United States)

Munge, Brendon; Thomas, Glyn; Heck, Deborah

2018-01-01

Background: Many disciplines use outdoor fieldwork (OFW) as an experiential learning method in higher education. Although there has been an increase in research into the pedagogical approaches of OFW, the use of OFW is contested. Purpose: The purpose of the study was to synthesize the OFW literature across a range of disciplines to identify common…

The fostering of innovative eLearning strategies in European higher education

OpenAIRE

Aczel, James; Cotinat, Olivier; Franco, Adelaide; Hardy, Pascale; Iggulden, Helen; Komáromi, Laszlo; Maillet, Katherine; Medina, Sara; Meiszner, Andreas; Obermueller, Eva; Reichl, Franz; Spinoglio, Mark; Staniland, Karen

2006-01-01

Although there are strong attempts being made by various European observatories and European Commission programmes to identify and disseminate innovative eLearning practices (MENON, 2006), the factors that determine educational effectiveness are, as yet, not well understood. In particular, while an extraordinarily wide range of university-level eLearning programmes are rapidly becoming available from large numbers of Higher Education Institutions (HEIs) across Europe, the sharing of good prac...

Autonomous Motivation and Fruit/Vegetable Intake in Parent–Adolescent Dyads

Science.gov (United States)

Dwyer, Laura A.; Bolger, Niall; Laurenceau, Jean-Philippe; Patrick, Heather; Oh, April Y.; Nebeling, Linda C.; Hennessy, Erin

2017-01-01

Introduction Autonomous motivation (motivation to engage in a behavior because of personal choice, interest, or value) is often associated with health behaviors. The present study contributes to research on motivation and eating behaviors by examining: (1) how autonomous motivation is correlated within parent–adolescent dyads; and (2) whether parent- and adolescent-reported autonomous motivation predicts the parent–adolescent correlation in fruit and vegetable (FV) intake frequency. Methods Data were drawn from the Family Life, Activity, Sun, Health, and Eating (FLASHE) Study, a cross-sectional U.S. survey of parent–adolescent dyads led by the National Cancer Institute and fielded between April and October 2014. In 2016, data were analyzed from dyads who had responses on a six-item self-report measure of daily frequency of FV consumption and a two-item self-report measure of autonomous motivation for consuming FVs. Results Parents' and adolescents' reports of autonomous motivation and FV intake frequency were positively correlated. Both parents' and adolescents' autonomous motivation predicted higher levels of their own FV intake frequency and that of their dyad partner (p-values ≤0.001). These effects of autonomous motivation explained 22.6% of the parent–adolescent correlation in FV intake frequency. Actor effects (one's motivation predicting their own FV intake frequency) were stronger than partner effects (one's motivation predicting their partner's FV intake frequency). Conclusions Parent–adolescent similarity in autonomous motivation for healthy eating may contribute to similarity in eating behaviors. Future research should further examine how individual-level health behavior correlates influence health behaviors within dyads. PMID:28526363

Autonomous Motivation and Fruit/Vegetable Intake in Parent-Adolescent Dyads.

Science.gov (United States)

Dwyer, Laura A; Bolger, Niall; Laurenceau, Jean-Philippe; Patrick, Heather; Oh, April Y; Nebeling, Linda C; Hennessy, Erin

2017-06-01

Autonomous motivation (motivation to engage in a behavior because of personal choice, interest, or value) is often associated with health behaviors. The present study contributes to research on motivation and eating behaviors by examining (1) how autonomous motivation is correlated within parent-adolescent dyads and (2) whether parent- and adolescent-reported autonomous motivation predicts the parent-adolescent correlation in fruit and vegetable (FV) intake frequency. Data were drawn from the Family Life, Activity, Sun, Health, and Eating (FLASHE) Study, a cross-sectional U.S. survey of parent-adolescent dyads led by the National Cancer Institute and fielded between April and October 2014. In 2016, data were analyzed from dyads who had responses on a six-item self-report measure of daily frequency of FV consumption and a two-item self-report measure of autonomous motivation for consuming FVs. Parents' and adolescents' reports of autonomous motivation and FV intake frequency were positively correlated. Both parents' and adolescents' autonomous motivation predicted higher levels of their own FV intake frequency and that of their dyad partner (p-values ≤0.001). These effects of autonomous motivation explained 22.6% of the parent-adolescent correlation in FV intake frequency. Actor effects (one's motivation predicting their own FV intake frequency) were stronger than partner effects (one's motivation predicting their partner's FV intake frequency). Parent-adolescent similarity in autonomous motivation for healthy eating may contribute to similarity in eating behaviors. Future research should further examine how individual-level health behavior correlates influence health behaviors within dyads. Published by Elsevier Inc.

E-Learning as a Means to Improve the Quality of Higher Education

Directory of Open Access Journals (Sweden)

Kuimova Marina

2016-01-01

Full Text Available The use of e-learning has become an important part of higher education. It expands the pedagogical resources, assists students in their learning, develops learners’ skills, motivation and knowledge, prepares them for being productive in their workplaces of today’s society. The paper provides the literature review regarding the use of e-learning, its advantages and disadvantages. The authors examine students’ perception of e-learning courses based on the Moodle platform at National Research Tomsk Polytechnic University. The findings from a survey of 67 students reveal that the respondents highlighted the following advantages of e-learning courses: convenience, combination of theoretical and practical material, on-line testing and apprehensibility of the assessment criteria.

E-Learning Challenges Faced by Academics in Higher Education: A Literature Review

Science.gov (United States)

Islam, Nurul; Beer, Martin; Slack, Frances

2015-01-01

E-learning has become a necessity in higher education institutions and is being deployed in educational establishments throughout the world. Researchers have made much emphasis on its benefits but not much is discussed on the disadvantages of e-learning technology. This paper references some of the research work on the limitations of e-learning…

Intent-Estimation- and Motion-Model-Based Collision Avoidance Method for Autonomous Vehicles in Urban Environments

Directory of Open Access Journals (Sweden)

Rulin Huang

2017-04-01

Full Text Available Existing collision avoidance methods for autonomous vehicles, which ignore the driving intent of detected vehicles, thus, cannot satisfy the requirements for autonomous driving in urban environments because of their high false detection rates of collisions with vehicles on winding roads and the missed detection rate of collisions with maneuvering vehicles. This study introduces an intent-estimation- and motion-model-based (IEMMB method to address these disadvantages. First, a state vector is constructed by combining the road structure and the moving state of detected vehicles. A Gaussian mixture model is used to learn the maneuvering patterns of vehicles from collected data, and the patterns are used to estimate the driving intent of the detected vehicles. Then, a desirable long-term trajectory is obtained by weighting time and comfort. The long-term trajectory and the short-term trajectory, which are predicted using a constant yaw rate motion model, are fused to achieve an accurate trajectory. Finally, considering the moving state of the autonomous vehicle, collisions can be detected and avoided. Experiments have shown that the intent estimation method performed well, achieving an accuracy of 91.7% on straight roads and an accuracy of 90.5% on winding roads, which is much higher than that achieved by the method that ignores the road structure. The average collision detection distance is increased by more than 8 m. In addition, the maximum yaw rate and acceleration during an evasive maneuver are decreased, indicating an improvement in the driving comfort.

A Cognitive Architecture Using Reinforcement Learning to Enable Autonomous Spacecraft Operations, Phase I

Data.gov (United States)

National Aeronautics and Space Administration — We propose an architecture to enable the modular development and deployment of autonomous intelligent agents in support of spacecraft operations. This architecture...

Strategic Learning in Youth with Traumatic Brain Injury: Evidence for Stall in Higher-Order Cognition

Science.gov (United States)

Gamino, Jacquelyn F.; Chapman, Sandra B.; Cook, Lori G.

2009-01-01

Little is known about strategic learning ability in preteens and adolescents with traumatic brain injury (TBI). Strategic learning is the ability to combine and synthesize details to form abstracted gist-based meanings, a higher-order cognitive skill associated with frontal lobe functions and higher classroom performance. Summarization tasks were…

Autonomous vision-based navigation for proximity operations around binary asteroids

Science.gov (United States)

Gil-Fernandez, Jesus; Ortega-Hernando, Guillermo

2018-06-01

Future missions to small bodies demand higher level of autonomy in the Guidance, Navigation and Control system for higher scientific return and lower operational costs. Different navigation strategies have been assessed for ESA's asteroid impact mission (AIM). The main objective of AIM is the detailed characterization of binary asteroid Didymos. The trajectories for the proximity operations shall be intrinsically safe, i.e., no collision in presence of failures (e.g., spacecraft entering safe mode), perturbations (e.g., non-spherical gravity field), and errors (e.g., maneuver execution error). Hyperbolic arcs with sufficient hyperbolic excess velocity are designed to fulfil the safety, scientific, and operational requirements. The trajectory relative to the asteroid is determined using visual camera images. The ground-based trajectory prediction error at some points is comparable to the camera Field Of View (FOV). Therefore, some images do not contain the entire asteroid. Autonomous navigation can update the state of the spacecraft relative to the asteroid at higher frequency. The objective of the autonomous navigation is to improve the on-board knowledge compared to the ground prediction. The algorithms shall fit in off-the-shelf, space-qualified avionics. This note presents suitable image processing and relative-state filter algorithms for autonomous navigation in proximity operations around binary asteroids.

The Recognition of Prior Learning and Dutch Higher Education - At cross-purposes?

NARCIS (Netherlands)

Cremonini, Leon; Zgaga, Pavel; Teichler, Ulrich; Brennan, John

2013-01-01

The chapter ‘The Recognition of Prior Learning and Dutch Higher Education - At cross-purposes?’ by L. Cremonini in The Globalisation Challenge for European Higher Education – Convergence and Diversity, Centres and Peripheries (Zgaga, P., Teichler, U. and Brennan, J (Eds.)) explores the Recognition

The effect of learning climate on snack consumption and ego depletion among undergraduate students.

Science.gov (United States)

Magaraggia, Christian; Dimmock, James A; Jackson, Ben

2013-10-01

We explored the effect of controlled and autonomous learning choices on the consumption of a high-energy snack food, and also examined whether snack consumption during a controlled choice learning activity could 'up-regulate' subsequent performance on a self-regulation task. Participants were randomly assigned to a controlled choice learning condition in which food was provided, a controlled choice learning condition in which food was not provided, or an autonomous choice learning condition in which food was provided. Results indicated that the autonomous choice group consumed significantly less snack food than the controlled-choice-and-food group. Participants in the autonomous choice condition also performed better on the subsequent self-regulation task than the controlled-choice-and-food group, even after controlling for the amount of food consumed. Furthermore, within the controlled-choice-and-food condition, there was no association between food consumption and subsequent self-regulation task performance. Discussion focuses on the potential impact of a controlled learning climate on snack food consumption and on the degradation of self-regulation capacities. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

Use of Online Learning Resources in the Development of Learning Environments at the Intersection of Formal and Informal Learning: The Student as Autonomous Designer

Directory of Open Access Journals (Sweden)

Maja Lebeničnik

2015-06-01

Full Text Available Learning resources that are used in the education of university students are often available online. The nature of new technologies causes an interweaving of formal and informal learning, with the result that a more active role is expected from students with regard to the use of ICT for their learning. The variety of online learning resources (learning content and learning tools facilitates informed use and enables students to create the learning environment that is most appropriate for their personal learning needs and preferences. In contemporary society, the creation of an inclusive learning environment supported by ICT is pervasive. The model of Universal Design for Learning is becoming increasingly significant in responding to the need for inclusive learning environments. In this article, we categorize different online learning activities into the principles of Universal Design for Learning. This study examines ICT use among university students (N = 138, comparing student teachers with students in other study programs. The findings indicate that among all students, activities with lower demands for engagement are most common. Some differences were observed between student teachers and students from other programs. Student teachers were more likely than their peers to perform certain activities aimed at meeting diverse learner needs, but the percentage of students performing more advanced activities was higher for students in other study programs than for student teachers. The categorization of activities revealed that student teachers are less likely to undertake activities that involve interaction with others. Among the sample of student teachers, we found that personal innovativeness is correlated with diversity of activities in only one category. The results show that student teachers should be encouraged to perform more advanced activities, especially activities involving interaction with others, collaborative learning and use of ICT to

A Teaching System To Learn Programming: the Programmer's Learning Machine

OpenAIRE

Quinson , Martin; Oster , Gérald

2015-01-01

International audience; The Programmer's Learning Machine (PLM) is an interactive exerciser for learning programming and algorithms. Using an integrated and graphical environment that provides a short feedback loop, it allows students to learn in a (semi)-autonomous way. This generic platform also enables teachers to create specific programming microworlds that match their teaching goals. This paper discusses our design goals and motivations, introduces the existing material and the proposed ...

Testing for autonomic neuropathy

DEFF Research Database (Denmark)

Hilsted, J

1984-01-01

Autonomic neuropathy is a common complication in long-term diabetes, about 30% of the patients showing measurable signs of autonomic dysfunction after 10 years duration of disease. The diagnosis is often difficult to establish because clinical symptoms generally occur late in the course of the di......Autonomic neuropathy is a common complication in long-term diabetes, about 30% of the patients showing measurable signs of autonomic dysfunction after 10 years duration of disease. The diagnosis is often difficult to establish because clinical symptoms generally occur late in the course...

Structuring and Regulating Collaborative Learning in Higher Education with Wireless Networks and Mobile Tools

Science.gov (United States)

Jarvela, Sanna; Naykki, Piia; Laru, Jari; Luokkanen, Tiina

2007-01-01

In our recent research we have explored possibilities to scaffold collaborative learning in higher education with wireless networks and mobile tools. The pedagogical ideas are grounded on concepts of collaborative learning, including the socially shared origin of cognition, as well as self-regulated learning theory. This paper presents our three…

Invigorating self-regulated learning strategies of mathematics among higher education students

Science.gov (United States)

Chechi, Vijay Kumar; Bhalla, Jyoti

2017-07-01

The global market is transforming at its ever-increasing rate of knots. Consequently, the work skills challenges that current students will encounter throughout their lifetimes will be drastically different from those of present and past and proffering new-fangled opportunities and posing new challenges. However, in order to deal with tomorrow's opportunities and challenges students ought to equip with higher order cognitive skills which are substantially different from those needed in the past. In order to accomplish this intention, students must be academically self-regulated, as academic self-regulation is playing a vital role for academic success, particularly in higher education. Students must be prepared in such a way that they should take responsibility for their own learning. Self-regulation suggests activities and thinking processes that learners can engage in during his learning. Self-regulation is encompassing a number of inter-dependent aspect viz. affective beliefs, cognition and meta-cognitive skills [1]. It helps the learners to make sagacious use of their intellect and expertise [2]. As statistics has shown that the achievement of students in mathematics has persistently been poor. Along with it, mathematics is considered as one of the most important subject course in architecture, agriculture, medicine, pharmacy and especially in engineering. In spite of its importance, most of the students considered it as a dull and dry subject and their performance is remarkably low and alarming. Therefore, the present paper will highlight various factors affecting performance of higher education students in mathematics and will suggest different self-regulated learning strategies which will act as boon for higher education students.

Hybrid ARQ Scheme with Autonomous Retransmission for Multicasting in Wireless Sensor Networks.

Science.gov (United States)

Jung, Young-Ho; Choi, Jihoon

2017-02-25

A new hybrid automatic repeat request (HARQ) scheme for multicast service for wireless sensor networks is proposed in this study. In the proposed algorithm, the HARQ operation is combined with an autonomous retransmission method that ensure a data packet is transmitted irrespective of whether or not the packet is successfully decoded at the receivers. The optimal number of autonomous retransmissions is determined to ensure maximum spectral efficiency, and a practical method that adjusts the number of autonomous retransmissions for realistic conditions is developed. Simulation results show that the proposed method achieves higher spectral efficiency than existing HARQ techniques.

Hybrid ARQ Scheme with Autonomous Retransmission for Multicasting in Wireless Sensor Networks

Directory of Open Access Journals (Sweden)

Young-Ho Jung

2017-02-01

Full Text Available A new hybrid automatic repeat request (HARQ scheme for multicast service for wireless sensor networks is proposed in this study. In the proposed algorithm, the HARQ operation is combined with an autonomous retransmission method that ensure a data packet is transmitted irrespective of whether or not the packet is successfully decoded at the receivers. The optimal number of autonomous retransmissions is determined to ensure maximum spectral efficiency, and a practical method that adjusts the number of autonomous retransmissions for realistic conditions is developed. Simulation results show that the proposed method achieves higher spectral efficiency than existing HARQ techniques.

Autonomous unobtrusive detection of mild cognitive impairment in older adults.

Science.gov (United States)

Akl, Ahmad; Taati, Babak; Mihailidis, Alex

2015-05-01

The current diagnosis process of dementia is resulting in a high percentage of cases with delayed detection. To address this problem, in this paper, we explore the feasibility of autonomously detecting mild cognitive impairment (MCI) in the older adult population. We implement a signal processing approach equipped with a machine learning paradigm to process and analyze real-world data acquired using home-based unobtrusive sensing technologies. Using the sensor and clinical data pertaining to 97 subjects, acquired over an average period of three years, a number of measures associated with the subjects' walking speed and general activity in the home were calculated. Different time spans of these measures were used to generate feature vectors to train and test two machine learning algorithms namely support vector machines and random forests. We were able to autonomously detect MCI in older adults with an area under the ROC curve of 0.97 and an area under the precision-recall curve of 0.93 using a time window of 24 weeks. This study is of great significance since it can potentially assist in the early detection of cognitive impairment in older adults.

Videogame-Like Applications to Enhance Autonomous Learning

Science.gov (United States)

Berns, Anke; Valero-Franco, Concepción

2013-01-01

This paper presents the results of an ongoing study which has been carried out with a group of German Foreign Language students at the University of Cadiz since 2012. The purpose of the study was to analyze the impact of videogame-like applications on foreign language learning and their motivational potential to increase learning beyond the…

First-order and higher order sequence learning in specific language impairment.

Science.gov (United States)

Clark, Gillian M; Lum, Jarrad A G

2017-02-01

A core claim of the procedural deficit hypothesis of specific language impairment (SLI) is that the disorder is associated with poor implicit sequence learning. This study investigated whether implicit sequence learning problems in SLI are present for first-order conditional (FOC) and higher order conditional (HOC) sequences. Twenty-five children with SLI and 27 age-matched, nonlanguage-impaired children completed 2 serial reaction time tasks. On 1 version, the sequence to be implicitly learnt comprised a FOC sequence and on the other a HOC sequence. Results showed that the SLI group learned the HOC sequence (η p ² = .285, p = .005) but not the FOC sequence (η p ² = .099, p = .118). The control group learned both sequences (FOC η p ² = .497, HOC η p 2= .465, ps < .001). The SLI group's difficulty learning the FOC sequence is consistent with the procedural deficit hypothesis. However, the study provides new evidence that multiple mechanisms may underpin the learning of FOC and HOC sequences. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Advancing Higher Education with Mobile Learning Technologies: Cases, Trends, and Inquiry-Based Methods

Science.gov (United States)

Keengwe, Jared, Ed.; Maxfield, Marian B., Ed.

2015-01-01

Rapid advancements in technology are creating new opportunities for educators to enhance their classroom techniques with digital learning resources. Once used solely outside of the classroom, smartphones, tablets, and e-readers are becoming common in many school settings. "Advancing Higher Education with Mobile Learning Technologies: Cases,…

Effects of Higher and Lower Level Writing-To-Learn Assignments on Higher and Lower Level Examination Questions

Science.gov (United States)

Nevid, Jeffrey S.; Ambrose, Michael A.; Pyun, Yea Seul

2017-01-01

Our study examined whether brief writing-to-learn assignments linked to lower and higher levels in Bloom's taxonomy affected performance differentially on examination performance in assessing these skill levels. Using a quasi-random design, 91 undergraduate students in an introductory psychology class completed eight lower level and eight higher…

[Occupational injury in foreign workers by economic activity and autonomous community (Spain 2005)].

Science.gov (United States)

López-Jacob, Ma José; Ahonen, Emily; García, Ana M; Gil, Angel; Benavides, Fernando G

2008-01-01

While the immigrant collective in Spain has grown considerably in recent years, little is known about working conditions and their corresponding effects on occupational injury in this group. The objective of this study was to compare the incidences for both fatal and non-fatal injuries in foreign workers to that of Spanish workers in 2005, by autonomous community and economic activity. injury data came from the accident registry of the ministry of labor and social issues, and denominators were taken from available social security affiliation statistics from general and coal mining social security system. Incidence indices for fatal and non-fatal occupational injuries for foreign and spanish workers were calculated. In addition, relative risks and their 95% confidence intervals (95% CI) were calculated by autonomous community and economic activity, using spanish workers as the reference group. Overall, relative risk for occupational injury in foreign workers in 2005 was superior to base risk for both fatal (1.34; 95% CI: 1.11-1.62) and non-fatal injury (1.13; 95% CI: 1.13-1.14), though there were important differences by autonomous community and activity sectors. Compared with Spanish workers, risk for occupational injury was higher for foreign workers in industrial activities, while it was lower in construction, commerce and restaurants and hotels. By autonomous community, Aragón and Catalonia showed the highest risks for foreign workers. A higher risk for occupational injury among foreign workers is confirmed, and may be higher than that observed. The differences in risk among economic activities and autonomous communities require more detailed analysis.

Self-reported post-exertional fatigue in Gulf War veterans: roles of autonomic testing

Science.gov (United States)

Li, Mian; Xu, Changqing; Yao, Wenguo; Mahan, Clare M.; Kang, Han K.; Sandbrink, Friedhelm; Zhai, Ping; Karasik, Pamela A.

2014-01-01

To determine if objective evidence of autonomic dysfunction exists from a group of Gulf War veterans with self-reported post-exertional fatigue, we evaluated 16 Gulf War ill veterans and 12 Gulf War controls. Participants of the ill group had self- reported, unexplained chronic post-exertional fatigue and the illness symptoms had persisted for years until the current clinical study. The controls had no self-reported post-exertional fatigue either at the time of initial survey nor at the time of the current study. We intended to identify clinical autonomic disorders using autonomic and neurophysiologic testing in the clinical context. We compared the autonomic measures between the 2 groups on cardiovascular function at both baseline and head-up tilt, and sudomotor function. We identified 1 participant with orthostatic hypotension, 1 posture orthostatic tachycardia syndrome, 2 distal small fiber neuropathy, and 1 length dependent distal neuropathy affecting both large and small fiber in the ill group; whereas none of above definable diagnoses was noted in the controls. The ill group had a significantly higher baseline heart rate compared to controls. Compound autonomic scoring scale showed a significant higher score (95% CI of mean: 1.72–2.67) among ill group compared to controls (0.58–1.59). We conclude that objective autonomic testing is necessary for the evaluation of self-reported, unexplained post-exertional fatigue among some Gulf War veterans with multi-symptom illnesses. Our observation that ill veterans with self-reported post-exertional fatigue had objective autonomic measures that were worse than controls warrants validation in a larger clinical series. PMID:24431987

Autonomic response to exercise as measured by cardio- vascular ...

African Journals Online (AJOL)

estimate the involvement of the autonomic nervous system (ANS) influence and balance in ... activity in response to exercise, training and overtraining. This ..... However, a lower HR and higher values for time domain HRV indicators were ...

Robot Competence Development by Constructive Learning

Science.gov (United States)

Meng, Q.; Lee, M. H.; Hinde, C. J.

This paper presents a constructive learning approach for developing sensor-motor mapping in autonomous systems. The system’s adaptation to environment changes is discussed and three methods are proposed to deal with long term and short term changes. The proposed constructive learning allows autonomous systems to develop network topology and adjust network parameters. The approach is supported by findings from psychology and neuroscience especially during infants cognitive development at early stages. A growing radial basis function network is introduced as a computational substrate for sensory-motor mapping learning. Experiments are conducted on a robot eye/hand coordination testbed and results show the incremental development of sensory-motor mapping and its adaptation to changes such as in tool-use.

Towards Competitive Commercial Autonomous Robots: The Configuration Problem

DEFF Research Database (Denmark)

Kjærgaard, Morten; Andersen, Nils Axel; Ravn, Ole

2011-01-01

knowledge about the underlying algorithms. The framework also makes it possible for the robot to autonomously calibrate itself, resulting in higher stability of the robot and less development time required. The work is a result of an industrial research project aimed at lowering development costs...

YouTube as engagement and learning tool in higher education society

African Journals Online (AJOL)

YouTube as engagement and learning tool in higher education society. ... of Web 2 has several, complementary advantages compared to traditional education. ... to the development of education by finding new ways consistent with modern ...

50-57 Effects of the Autonomic Nervous System, Centra

African Journals Online (AJOL)

admin

facilitation of absorption process and expulsion of the undigested food material through ... which is associated with the enteric nervous system , autonomic nervous system and the higher ..... short-chain neutralized fatty acids and 5-HT or radial ...

ICT media design for higher grade of elementary school mathematics learning using CS6 program

Science.gov (United States)

Zainil, M.; Prahmana, R. C. I.; Helsa, Y.; Hendri, S.

2017-12-01

Technological innovation contributes to the emerging of new possibilities to change the learning process. The development of technology could bring the higher quality of education through the integration of technology in the learning. The purpose of this research is to create an interactive multimedia using CS6 program for mathematics learning in higher grade of elementary school. It was a development research using ADDIE model which consists of analysis, design, and evaluation stages. It has successfully developed interactive multimedia in a form of learning CD used in the material of plane figures and solid figures. The prototype has been validated and then tested for the 4th grade of elementary schools. Two schools were involved and the students taught by utilizing the prototype, and then, in the end of learning, they are examined to determine the learning result. There were 72% of the students passed the examination as they classified at good and excellent categories. Finally, the use of CS6 program is promising to help the students learning plane and solid figure in mathematics learning.

Encouraging Higher-Order Thinking in General Chemistry by Scaffolding Student Learning Using Marzano's Taxonomy

Science.gov (United States)

Toledo, Santiago; Dubas, Justin M.

2016-01-01

An emphasis on higher-order thinking within the curriculum has been a subject of interest in the chemical and STEM literature due to its ability to promote meaningful, transferable learning in students. The systematic use of learning taxonomies could be a practical way to scaffold student learning in order to achieve this goal. This work proposes…

Overview of the Autonomic Nervous System

Science.gov (United States)

... be reversible or progressive. Anatomy of the autonomic nervous system The autonomic nervous system is the part of ... organs they connect with. Function of the autonomic nervous system The autonomic nervous system controls internal body processes ...

An Analysis of Internally Funded Learning and Teaching Project Evaluation in Higher Education

Science.gov (United States)

Huber, Elaine; Harvey, Marina

2016-01-01

Purpose: In the higher education sector, the evaluation of learning and teaching projects is assuming a role as a quality and accountability indicator. The purpose of this paper is to investigate how learning and teaching project evaluation is approached and critiques alignment between evaluation theory and practice. Design/Methodology/Approach:…

Adaptive representations for reinforcement learning

NARCIS (Netherlands)

Whiteson, S.

2010-01-01

This book presents new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks a control policy for a sequential decision task. Since current methods typically rely on manually designed solution representations, agents that automatically adapt their own

Webinar as a Form of E-Learning in Higher Education

Directory of Open Access Journals (Sweden)

Svetlana D. Kalinina

2015-01-01

Full Text Available Recently the major changes take place in the higher education. They relate to foreign and Russian universities. They are associated with the following trends: implementation of the concept of lifelong education, globalization of the educational space, change of educational paradigm, large-scale introduction of information and communication technologies in the educational process of universities. The article presents an overview of the main cases for the use of distance education technologies (DET in the practice of the higher education. There are many examples, such as the introduction of systems for distance support of educational process (LMS - Learning Management System, use the MOOC - Massive Open Online Courses. The description of the characteristics of the webinar (a new form of training in a virtual educational environment of the University is the focus of attention. The purpose of the webinar technology learning for the university teachers is improvement of information culture and competence formation of effective interaction with students in a rapidly changing environment of e-learning tools. This article describes the possibilities of webinar software technology platform that define the teacher tools, such as audio and video in real time, slide show presentations, use of virtual board, screen sharing of teacher desktop. It presents scenarios of webinar tools usage for online lectures and online seminars, technical and pedagogical preparation for them.

UK Higher Education Institutions' Technology-Enhanced Learning Strategies from the Perspective of Disruptive Innovation

Science.gov (United States)

Flavin, Michael; Quintero, Valentina

2018-01-01

The publication of institutional strategies for learning, teaching and assessment in UK higher education is practically ubiquitous. Strategies for technology-enhanced learning are also widespread. This article examines 44 publicly available UK university strategies for technology-enhanced learning, aiming to assess the extent to which…

Towards a Theory of the Ecology of Reflection: Reflective Practice for Experiential Learning in Higher Education

Science.gov (United States)

Harvey, Marina; Coulson, Debra; McMaugh, Anne

2016-01-01

Reflective practice is widely adopted across the field of experience-based learning subjects in higher education, including practicums, work-integrated learning, internships, service learning and community participation. This adoption of reflective practice implies that it supports student learning through experience. When reviewing the evidence…

Escalator: An Autonomous Scheduling Scheme for Convergecast in TSCH.

Science.gov (United States)

Oh, Sukho; Hwang, DongYeop; Kim, Ki-Hyung; Kim, Kangseok

2018-04-16

Time Slotted Channel Hopping (TSCH) is widely used in the industrial wireless sensor networks due to its high reliability and energy efficiency. Various timeslot and channel scheduling schemes have been proposed for achieving high reliability and energy efficiency for TSCH networks. Recently proposed autonomous scheduling schemes provide flexible timeslot scheduling based on the routing topology, but do not take into account the network traffic and packet forwarding delays. In this paper, we propose an autonomous scheduling scheme for convergecast in TSCH networks with RPL as a routing protocol, named Escalator. Escalator generates a consecutive timeslot schedule along the packet forwarding path to minimize the packet transmission delay. The schedule is generated autonomously by utilizing only the local routing topology information without any additional signaling with other nodes. The generated schedule is guaranteed to be conflict-free, in that all nodes in the network could transmit packets to the sink in every slotframe cycle. We implement Escalator and evaluate its performance with existing autonomous scheduling schemes through a testbed and simulation. Experimental results show that the proposed Escalator has lower end-to-end delay and higher packet delivery ratio compared to the existing schemes regardless of the network topology.

Catecholamines and diabetic autonomic neuropathy

DEFF Research Database (Denmark)

Hilsted, J

1995-01-01

In diabetic patients with autonomic neuropathy plasma noradrenaline concentration, used as an index of sympathetic nervous activity, is low. This decrease is, however, only found in patients with a long duration of diabetes with clinically severe autonomic neuropathy. This apparent insensitivity...... of plasma catecholamine measurements is not due to changes in the clearance of catecholamines in diabetic autonomic neuropathy. The physiological responses to infused adrenaline and to noradrenaline are enhanced, for noradrenaline mainly cardiovascular responses. Adrenoceptors (alpha and beta adrenoceptors......) are not altered in circulating blood cells in diabetic autonomic neuropathy. Thus, a generalized up-regulation of adrenoceptors does not occur in diabetic autonomic neuropathy....

Development of Open Test-bed for Autonomous Operation in Nuclear Power Plants

International Nuclear Information System (INIS)

Kim, Seungmin; Heo, Gyunyoung

2017-01-01

Nuclear power plants also recognize the need for automation. However, it is dangerous technology to have a significant impact on human society. In addition, due to the uncertain legal responsibility for autonomous operation, the application and development speed of nuclear energy related automation technology will be significantly decrease compared to other industries. It is argued that the application of AI and automation technology to power plants should not be prematurely applied or not based on the principle of applying proven technology since nuclear power plants are the highest level security operated facilities. As described above, the overall algorithm of the Test Bed is an autonomous operation algorithm (rulebased algorithm, learning-based algorithm, semiautonomous operation algorithm) to judge the entry condition of the procedure through condition monitoring and to enter the appropriate operating procedure. In order to make a test bed, the investigation for the heuristic part of the existing procedures and the heuristic part from the circumstance which is not specified in the procedure is needed. In the learning based and semi-autonomous operation algorithms, using MARS to extract its operating data and operational logs and try out various diagnostic algorithms as described above. Through the completion of these future tasks, the test bed which can compared with actual operators will be constructed and that it will be able to check its effectiveness by improving competitively with other research teams through the characteristics of shared platform.

Factors Affecting English Language Teaching and Learning in Higher Education

Science.gov (United States)

Nguyen, Hong Thi; Warren, Wendy; Fehring, Heather

2014-01-01

This paper reports part of a study that aims to explore factors affecting the efficacy of non-major English teaching and learning in Vietnamese higher education through an investigation of classroom practices. Eight non-participant class observations were conducted at HUTECH University, Ho Chi Minh City, Vietnam. The study's findings show that…

Facebook's Effect on Learning in Higher Education: An Empirical Investigation

Science.gov (United States)

Duncan, Doris G.; Barczyk, Casimir C.

2016-01-01

Due in part to its widespread acceptance, Facebook has been adopted as a tool for higher education courses. Proponents claim that Facebook-enhanced courses facilitate an increased community of practice, sense of learning and sense of connectedness compared to non-enhanced courses. This empirical study uses a survey methodology in an independent…

Autonomous Evolution of Complete Piano Pieces and Performances

DEFF Research Database (Denmark)

Dahlstedt, Palle

2007-01-01

Evolutionary algorithms are used to evolve musical score material and corresponding performance data, in an autonomous process. In this way complete piano compositions are created and subsequently performed on a computer-controlled grand piano. The efficiency of the creative evolution depends...... gestures. This is combined with a set of automated formalized selection criteria based on experiences from human selection processes in a previous, interactive version of the same system, leading to surprisingly musical output and convincing performances. The system is also capable of rudimentary learning...

Autonomic cardiac innervation

Science.gov (United States)

Hasan, Wohaib

2013-01-01

Autonomic cardiac neurons have a common origin in the neural crest but undergo distinct developmental differentiation as they mature toward their adult phenotype. Progenitor cells respond to repulsive cues during migration, followed by differentiation cues from paracrine sources that promote neurochemistry and differentiation. When autonomic axons start to innervate cardiac tissue, neurotrophic factors from vascular tissue are essential for maintenance of neurons before they reach their targets, upon which target-derived trophic factors take over final maturation, synaptic strength and postnatal survival. Although target-derived neurotrophins have a central role to play in development, alternative sources of neurotrophins may also modulate innervation. Both developing and adult sympathetic neurons express proNGF, and adult parasympathetic cardiac ganglion neurons also synthesize and release NGF. The physiological function of these “non-classical” cardiac sources of neurotrophins remains to be determined, especially in relation to autocrine/paracrine sustenance during development.   Cardiac autonomic nerves are closely spatially associated in cardiac plexuses, ganglia and pacemaker regions and so are sensitive to release of neurotransmitter, neuropeptides and trophic factors from adjacent nerves. As such, in many cardiac pathologies, it is an imbalance within the two arms of the autonomic system that is critical for disease progression. Although this crosstalk between sympathetic and parasympathetic nerves has been well established for adult nerves, it is unclear whether a degree of paracrine regulation occurs across the autonomic limbs during development. Aberrant nerve remodeling is a common occurrence in many adult cardiovascular pathologies, and the mechanisms regulating outgrowth or denervation are disparate. However, autonomic neurons display considerable plasticity in this regard with neurotrophins and inflammatory cytokines having a central regulatory

Blended Learning Environments in Higher Education: A Case Study of How Professors Make It Happen

Science.gov (United States)

King, Sarah E.; Arnold, Katie Cerrone

2012-01-01

Blended learning has become a prominent method of course content delivery in higher education. Researchers have found that motivation, communication, and course design are three factors that contribute to the overall success of blended learning courses and students' satisfaction with blended learning courses. This qualitative study also found that…

Team based learning in nursing and midwifery higher education; a systematic review of the evidence for change.

Science.gov (United States)

Dearnley, Chris; Rhodes, Christine; Roberts, Peter; Williams, Pam; Prenton, Sarah

2018-01-01

The aim of this study is to review the evidence in relation to the experiences and outcomes of students on nursing and/or midwifery higher education programmes, who experience team based learning. To examine the relationship between team based learning and attainment for nursing and midwifery students in professional higher education. To examine the relationship between team based learning and student satisfaction for nurses and midwifery students in higher education. To identify and report examples of good practice in the implementation of team based learning in Nursing and Midwifery higher education. A systematic Review of the literature was undertaken. The population were nurses and midwives studying on higher education pre and post registration professional programmes. The intervention was learning and teaching activities based on a team-based learning approach. Data sources included CINAHL and MEDLINE. ERIC and Index to Theses were also searched. International research papers published in English between 2011 and 2017 that met the inclusion criteria were included in the study. Papers that met the criteria were subjected to quality appraisal and agreement amongst authors for inclusion in the review. A total of sixteen papers were reviewed and four themes emerged for discussion. These were Student Engagement, Student Satisfaction, Attainment and Practice Development and Transformational Teaching and Learning. There is a tentative, though growing body of evidence to support TBL as a strategy that can impact on student engagement, student satisfaction, attainment, practice development and transformative teaching and learning. The literature indicates that implementing TBL within the curriculum is not without challenge and requires a sustained and structured approach. Staff and students need to understand the processes involved, and why they should be adhered to, in the pursuit of enhanced student experiences and outcomes for nurses and midwives in Higher Education

The organization of an autonomous learning system

Science.gov (United States)

Kanerva, Pentti

1988-01-01

The organization of systems that learn from experience is examined, human beings and animals being prime examples of such systems. How is their information processing organized. They build an internal model of the world and base their actions on the model. The model is dynamic and predictive, and it includes the systems' own actions and their effects. In modeling such systems, a large pattern of features represents a moment of the system's experience. Some of the features are provided by the system's senses, some control the system's motors, and the rest have no immediate external significance. A sequence of such patterns then represents the system's experience over time. By storing such sequences appropriately in memory, the system builds a world model based on experience. In addition to the essential function of memory, fundamental roles are played by a sensory system that makes raw information about the world suitable for memory storage and by a motor system that affects the world. The relation of sensory and motor systems to the memory is discussed, together with how favorable actions can be learned and unfavorable actions can be avoided. Results in classical learning theory are explained in terms of the model, more advanced forms of learning are discussed, and the relevance of the model to the frame problem of robotics is examined.

A Critical Theory Perspective on Accelerated Learning.

Science.gov (United States)

Brookfield, Stephen D.

2003-01-01

Critically analyzes accelerated learning using concepts from Herbert Marcuse (rebellious subjectivity) and Erich Fromm (automaton conformity). Concludes that, by providing distance and separation, accelerated learning has more potential to stimulate critical autonomous thought. (SK)

Autonomous vehicles: from paradigms to technology

Science.gov (United States)

Ionita, Silviu

2017-10-01

Mobility is a basic necessity of contemporary society and it is a key factor in global economic development. The basic requirements for the transport of people and goods are: safety and duration of travel, but also a number of additional criteria are very important: energy saving, pollution, passenger comfort. Due to advances in hardware and software, automation has penetrated massively in transport systems both on infrastructure and on vehicles, but man is still the key element in vehicle driving. However, the classic concept of ‘human-in-the-loop’ in terms of ‘hands on’ in driving the cars is competing aside from the self-driving startups working towards so-called ‘Level 4 autonomy’, which is defined as “a self-driving system that does not requires human intervention in most scenarios”. In this paper, a conceptual synthesis of the autonomous vehicle issue is made in connection with the artificial intelligence paradigm. It presents a classification of the tasks that take place during the driving of the vehicle and its modeling from the perspective of traditional control engineering and artificial intelligence. The issue of autonomous vehicle management is addressed on three levels: navigation, movement in traffic, respectively effective maneuver and vehicle dynamics control. Each level is then described in terms of specific tasks, such as: route selection, planning and reconfiguration, recognition of traffic signs and reaction to signaling and traffic events, as well as control of effective speed, distance and direction. The approach will lead to a better understanding of the way technology is moving when talking about autonomous cars, smart/intelligent cars or intelligent transport systems. Keywords: self-driving vehicle, artificial intelligence, deep learning, intelligent transport systems.

Supervised-machine Learning for Intelligent Collision Avoidance Decision-making and Sensor Tasking

Data.gov (United States)

National Aeronautics and Space Administration — Building an autonomous architecture that uses directed self-learning neuro-fuzzy networks with the aim of developing an intelligent autonomous collision avoidance...

Extended Learning on SOAR

National Research Council Canada - National Science Library

Laird, John E

2006-01-01

The major goal of this project was to develop the science and technology for building autonomous knowledge-rich learning agents - computational systems that have significant competence for performing...

Analyzing Networked Learning Practices in HigherEducation and Continuing Professional Development

DEFF Research Database (Denmark)

Dirckinck-Holmfeld, Lone

Deliverable 28.5.4 reports on the preparation of the book "Analysing Networked Learning Practices in Higher Education and Continuing Professional Development", which consists of an Introduction, case studies and a concluding section, which presents the theoretical work and empirical work conducte...

Teaching and learning of interdisciplinary thinking in higher education in engineering

NARCIS (Netherlands)

Spelt, E.J.H.

2015-01-01

The present thesis research aim was to gain insight in the pedagogical content knowledge for interdisciplinary thinking to enhance student learning across higher education in engineering. In accordance to Boix Mansilla (2010) and Shulman (1987), pedagogical content knowledge was considered in the

The Growth Trend in Learning Strategies during the Transition from Secondary to Higher Education in Flanders

Science.gov (United States)

Coertjens, Liesje; Donche, Vincent; De Maeyer, Sven; van Daal, Tine; Van Petegem, Peter

2017-01-01

As in many OECD countries, the first year in Flemish Higher Education is a major hurdle. Research on the experience of the transition period from secondary to higher education highlights the importance of the change in students' teaching/learning environment. Though this change is hypothesised to affect students' learning strategies, and hereby…

A Secure, Scalable and Elastic Autonomic Computing Systems Paradigm: Supporting Dynamic Adaptation of Self-* Services from an Autonomic Cloud

Directory of Open Access Journals (Sweden)

Abdul Jaleel

2018-05-01

Full Text Available Autonomic computing embeds self-management features in software systems using external feedback control loops, i.e., autonomic managers. In existing models of autonomic computing, adaptive behaviors are defined at the design time, autonomic managers are statically configured, and the running system has a fixed set of self-* capabilities. An autonomic computing design should accommodate autonomic capability growth by allowing the dynamic configuration of self-* services, but this causes security and integrity issues. A secure, scalable and elastic autonomic computing system (SSE-ACS paradigm is proposed to address the runtime inclusion of autonomic managers, ensuring secure communication between autonomic managers and managed resources. Applying the SSE-ACS concept, a layered approach for the dynamic adaptation of self-* services is presented with an online ‘Autonomic_Cloud’ working as the middleware between Autonomic Managers (offering the self-* services and Autonomic Computing System (requiring the self-* services. A stock trading and forecasting system is used for simulation purposes. The security impact of the SSE-ACS paradigm is verified by testing possible attack cases over the autonomic computing system with single and multiple autonomic managers running on the same and different machines. The common vulnerability scoring system (CVSS metric shows a decrease in the vulnerability severity score from high (8.8 for existing ACS to low (3.9 for SSE-ACS. Autonomic managers are introduced into the system at runtime from the Autonomic_Cloud to test the scalability and elasticity. With elastic AMs, the system optimizes the Central Processing Unit (CPU share resulting in an improved execution time for business logic. For computing systems requiring the continuous support of self-management services, the proposed system achieves a significant improvement in security, scalability, elasticity, autonomic efficiency, and issue resolving time

A Review on the Use and Perceived Effects of Mobile Blogs on Learning in Higher Educational Settings

DEFF Research Database (Denmark)

Norman, Helmi; Din, Rosseni; Nordin, Norazah

2014-01-01

Mobile technology is affecting the way we learn and teach in higher education. An interesting mobile tool for supporting learning and instruction is by using mobile blogs or “moblogs”. This review focuses on existing studies implementing moblogs for learning purposes in higher educational settings...... for moblog usage were identified, namely: (i) moblogs were used for context-sensitive learning; (ii) for collaboration in groups; (iii) as a tool for interaction and communication for learning; (iv) as personal learning diaries; (v) to facilitate learning at students’ own time and pace; (vi) as a tool...... for feedback on instruction; and (vii) for reflections in learning. Meanwhile, three categories were discovered for perceived effects of moblogs, which are: (i) perceived affective effects in terms of satisfaction and attitude; (ii) perceived social effects on students; and (iii) negative perception of moblog...

An Investigation of Mobile Learning Readiness in Higher Education Based on the Theory of Planned Behavior

Science.gov (United States)

Cheon, Jongpil; Lee, Sangno; Crooks, Steven M.; Song, Jaeki

2012-01-01

This study investigated the current state of college students' perceptions toward mobile learning in higher education. Mobile learning is a new form of learning utilizing the unique capabilities of mobile devices. Although mobile devices are ubiquitous on college campuses, student readiness for mobile learning has yet to be fully explored in the…

Car-following Behavior Model Learning Using Timed Automata

NARCIS (Netherlands)

Zhang, Yihuan; Lin, Q.; Wang, Jun; Verwer, S.E.; Dochain, D.; Henrion, D.; Peaucelle, D.

Learning driving behavior is fundamental for autonomous vehicles to “understand” traffic situations. This paper proposes a novel method for learning a behavioral model of car-following using automata learning algorithms. The model is interpretable for car-following behavior analysis. Frequent common

Teaching Engineering with Autonomous Learning Activities

Science.gov (United States)

Otero, Beatriz; Rodríguez, Eva; Royo, Pablo

2015-01-01

This paper proposes several activities that encourage self-learning in engineering courses. For each activity, the context and the pedagogical issues addressed are described emphasizing strengths and weaknesses. Specifically, this work describes and implements five activities, which are: questionnaires, conceptual maps, videos, jigsaw and…

Autonomic computing enabled cooperative networked design

CERN Document Server

Wodczak, Michal

2014-01-01

This book introduces the concept of autonomic computing driven cooperative networked system design from an architectural perspective. As such it leverages and capitalises on the relevant advancements in both the realms of autonomic computing and networking by welding them closely together. In particular, a multi-faceted Autonomic Cooperative System Architectural Model is defined which incorporates the notion of Autonomic Cooperative Behaviour being orchestrated by the Autonomic Cooperative Networking Protocol of a cross-layer nature. The overall proposed solution not only advocates for the inc

The Use of New Learning Technologies in Higher Education Classroom: A Case Study

Directory of Open Access Journals (Sweden)

Micaela Dinis Esteves

2018-05-01

Full Text Available We have conducted a study with higher level education students, in lecture classes of three Undergraduate Courses and one Professional Higher Technical Course that involved six different subjects with a total of 324 students. In this research the use of Game-Based Learning platform was analysed in order to encourage the students’ participation, increasing motivation and keeping them motivated and committed during lessons, therefore, increasing their learning skills. Based on these results, we recommend that Kahoot is used in lectures in order to help students develop their performances and abilities and at the same time be more successful and prepared to have an active participation in society.

Association between Birth Characteristics and Cardiovascular Autonomic Function at Mid-Life.

Directory of Open Access Journals (Sweden)

Nelli Perkiömäki

Full Text Available Low birth weight is associated with an increased risk of cardiovascular diseases in adulthood. As abnormal cardiac autonomic function is a common feature in cardiovascular diseases, we tested the hypothesis that low birth weight may also be associated with poorer cardiac autonomic function in middle-aged subjects.At the age of 46, the subjects of the Northern Finland Birth Cohort 1966 were invited to examinations including questionnaires about health status and life style and measurement of vagally-mediated heart rate variability (rMSSD from R-R intervals (RRi and spontaneous baroreflex sensitivity (BRS in both seated and standing positions. Maternal parameters had been collected in 1965-1966 since the 16th gestational week and birth variables immediately after delivery. For rMSSD, 1,799 men and 2,279 women without cardiorespiratory diseases and diabetes were included and 902 men and 1,020 women for BRS. The analyses were adjusted for maternal (age, anthropometry, socioeconomics, parity, gestational smoking and adult variables (life style, anthropometry, blood pressure, glycemic and lipid status potentially confounding the relationship between birth weight and autonomic function.In men, birth weight correlated negatively with seated (r = -0.058, p = 0.014 and standing rMSSD (r = -0.090, p<0.001, as well as with standing BRS (r = -0.092, p = 0.006. These observations were verified using relevant birth weight categories (<2,500 g; 2,500-3,999 g; ≥4,000 g. In women, birth weight was positively correlated with seated BRS (r = 0.081, p = 0.010, but none of the other measures of cardiovascular autonomic function. These correlations remained significant after adjustment for potential confounders (p<0.05 for all.In men, higher birth weight was independently associated with poorer cardiac autonomic function at mid-life. Same association was not observed in women. Our findings suggest that higher, not lower, birth weight in males may contribute to less

A Role of Higher Education Institutions in the Development of Life-long Learning Processes

Directory of Open Access Journals (Sweden)

Lech Banachowski

2011-01-01

Full Text Available The following question is considered: „In what way can the higher schools support the processes of life-long learning of their graduates and also of their faculty and students?” A solution is proposed based on building learning community of practice managing joint knowledge repository including Personal Learning Environments (PLE and e-portfolios. It is shown how to extend ordinary LMS (VLE system to support processes of life-long learning. The steps made at the Polish-Japanese Institute of Information Technology (PJIIT are discussed towards implementation of these ideas.

Economic efficiency of e-learning in higher education: An industrial approach

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Jordi Vilaseca

2008-07-01

Full Text Available Little work has been yet done to analyse if e-learning is an efficiency way in economic terms to produce higher education, especially because there are not available data in official statistics. Despite of these important constrains, this paper aims to contribute to the study of economic efficiency of e-learning through the analysis of a sample of e-learning universities during a period of time (1997-2002. We have wanted to obtain some empirical evidence to understand if e-learning is a feasible model of providing education for universities and which are the variables that allow for feasibility attainment. The main findings are: 1 that the rise of the number of students enrolled is consistent with increasing labour productivity rates; 2 that cost labour savings are explained by the improvement of universities’ economic efficiency (or total factor productivity; and 3 that improvement of total factor productivity in e-learning production is due to the attainment of scale economies, but also to two organisational innovations: outsourcing processes that leads to the increase of variable costs consistent with decreasing marginal costs, and the sharing of assets’ control and use that allow for a rise in assets rotation.

Demonstration of Self-Training Autonomous Neural Networks in Space Vehicle Docking Simulations

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Patrick, M. Clinton; Thaler, Stephen L.; Stevenson-Chavis, Katherine

2006-01-01

Neural Networks have been under examination for decades in many areas of research, with varying degrees of success and acceptance. Key goals of computer learning, rapid problem solution, and automatic adaptation have been elusive at best. This paper summarizes efforts at NASA's Marshall Space Flight Center harnessing such technology to autonomous space vehicle docking for the purpose of evaluating applicability to future missions.

Disruptive Technology Enhanced Learning: The Use and Misuse of Digital Technologies in Higher Education

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Flavin, Michael

2017-01-01

This book is about how technologies are used in practice to support learning and teaching in higher education. Despite digitization and e-learning becoming ever-increasingly popular in university teaching settings, this book convincingly argues instead in favour of simple and convenient technologies, thus disrupting traditional patterns of…

Conjoint Analysis for Mobile Devices for Ubiquitous Learning in Higher Education: The Korean Case

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Lee, Hyeongjik

2013-01-01

Despite the increasing importance of mobile devices in education, the essential features of these devices for ubiquitous learning have not been empirically addressed. This study empirically investigated the necessary conditions for using mobile devices as an educational tool for ubiquitous learning in higher education by a conjoint method. The…

E-Learning in Mongolian Higher Education

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Tuul, Suvdmaa; Banzragch, Otgontugs; Saizmaa, Tsogzolmaa

2016-01-01

This paper reviews the e-learning course development in selected universities of Mongolia and attempts to classify the e-learning programs that are in practice at the tertiary education level in the country. The given paper uses both secondary and primary sources. The authors determined what factors influence e-learning type classification and how…

Escalator: An Autonomous Scheduling Scheme for Convergecast in TSCH

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Sukho Oh

2018-04-01

Full Text Available Time Slotted Channel Hopping (TSCH is widely used in the industrial wireless sensor networks due to its high reliability and energy efficiency. Various timeslot and channel scheduling schemes have been proposed for achieving high reliability and energy efficiency for TSCH networks. Recently proposed autonomous scheduling schemes provide flexible timeslot scheduling based on the routing topology, but do not take into account the network traffic and packet forwarding delays. In this paper, we propose an autonomous scheduling scheme for convergecast in TSCH networks with RPL as a routing protocol, named Escalator. Escalator generates a consecutive timeslot schedule along the packet forwarding path to minimize the packet transmission delay. The schedule is generated autonomously by utilizing only the local routing topology information without any additional signaling with other nodes. The generated schedule is guaranteed to be conflict-free, in that all nodes in the network could transmit packets to the sink in every slotframe cycle. We implement Escalator and evaluate its performance with existing autonomous scheduling schemes through a testbed and simulation. Experimental results show that the proposed Escalator has lower end-to-end delay and higher packet delivery ratio compared to the existing schemes regardless of the network topology.

Higher order thinking skills: using e-portfolio in project-based learning

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Lukitasari, M.; Handhika, J.; Murtafiah, W.

2018-03-01

The purpose of this research is to describe students' higher-order thinking skills through project-based learning using e-portfolio. The method used in this research is descriptive qualitative method. The research instruments used were test, unstructured interview, and documentation. Research subjects were students of mathematics, physics and biology education department who take the Basics Physics course. The result shows that through project-based learning using e-portfolio the students’ ability to: analyze (medium category, N-Gain 0.67), evaluate (medium category, N-Gain 0.51), and create (medium Category, N-Gain 0.44) are improved.