Designing for deeper learning in a blended computer science course for middle school students

Science.gov (United States)

Grover, Shuchi; Pea, Roy; Cooper, Stephen

2015-04-01

The focus of this research was to create and test an introductory computer science course for middle school. Titled "Foundations for Advancing Computational Thinking" (FACT), the course aims to prepare and motivate middle school learners for future engagement with algorithmic problem solving. FACT was also piloted as a seven-week course on Stanford's OpenEdX MOOC platform for blended in-class learning. Unique aspects of FACT include balanced pedagogical designs that address the cognitive, interpersonal, and intrapersonal aspects of "deeper learning"; a focus on pedagogical strategies for mediating and assessing for transfer from block-based to text-based programming; curricular materials for remedying misperceptions of computing; and "systems of assessments" (including formative and summative quizzes and tests, directed as well as open-ended programming assignments, and a transfer test) to get a comprehensive picture of students' deeper computational learning. Empirical investigations, accomplished over two iterations of a design-based research effort with students (aged 11-14 years) in a public school, sought to examine student understanding of algorithmic constructs, and how well students transferred this learning from Scratch to text-based languages. Changes in student perceptions of computing as a discipline were measured. Results and mixed-method analyses revealed that students in both studies (1) achieved substantial learning gains in algorithmic thinking skills, (2) were able to transfer their learning from Scratch to a text-based programming context, and (3) achieved significant growth toward a more mature understanding of computing as a discipline. Factor analyses of prior computing experience, multivariate regression analyses, and qualitative analyses of student projects and artifact-based interviews were conducted to better understand the factors affecting learning outcomes. Prior computing experiences (as measured by a pretest) and math ability were

It Takes a Village: Supporting Inquiry- and Equity-Oriented Computer Science Pedagogy through a Professional Learning Community

Science.gov (United States)

Ryoo, Jean; Goode, Joanna; Margolis, Jane

2015-01-01

This article describes the importance that high school computer science teachers place on a teachers' professional learning community designed around an inquiry- and equity-oriented approach for broadening participation in computing. Using grounded theory to analyze four years of teacher surveys and interviews from the Exploring Computer Science…

A Computer Learning Center for Environmental Sciences

Science.gov (United States)

Mustard, John F.

2000-01-01

In the fall of 1998, MacMillan Hall opened at Brown University to students. In MacMillan Hall was the new Computer Learning Center, since named the EarthLab which was outfitted with high-end workstations and peripherals primarily focused on the use of remotely sensed and other spatial data in the environmental sciences. The NASA grant we received as part of the "Centers of Excellence in Applications of Remote Sensing to Regional and Global Integrated Environmental Assessments" was the primary source of funds to outfit this learning and research center. Since opening, we have expanded the range of learning and research opportunities and integrated a cross-campus network of disciplines who have come together to learn and use spatial data of all kinds. The EarthLab also forms a core of undergraduate, graduate, and faculty research on environmental problems that draw upon the unique perspective of remotely sensed data. Over the last two years, the Earthlab has been a center for research on the environmental impact of water resource use in and regions, impact of the green revolution on forest cover in India, the design of forest preserves in Vietnam, and detailed assessments of the utility of thermal and hyperspectral data for water quality analysis. It has also been used extensively for local environmental activities, in particular studies on the impact of lead on the health of urban children in Rhode Island. Finally, the EarthLab has also served as a key educational and analysis center for activities related to the Brown University Affiliated Research Center that is devoted to transferring university research to the private sector.

Collaborative Visualization Project: shared-technology learning environments for science learning

Science.gov (United States)

Pea, Roy D.; Gomez, Louis M.

1993-01-01

Project-enhanced science learning (PESL) provides students with opportunities for `cognitive apprenticeships' in authentic scientific inquiry using computers for data-collection and analysis. Student teams work on projects with teacher guidance to develop and apply their understanding of science concepts and skills. We are applying advanced computing and communications technologies to augment and transform PESL at-a-distance (beyond the boundaries of the individual school), which is limited today to asynchronous, text-only networking and unsuitable for collaborative science learning involving shared access to multimedia resources such as data, graphs, tables, pictures, and audio-video communication. Our work creates user technology (a Collaborative Science Workbench providing PESL design support and shared synchronous document views, program, and data access; a Science Learning Resource Directory for easy access to resources including two-way video links to collaborators, mentors, museum exhibits, media-rich resources such as scientific visualization graphics), and refine enabling technologies (audiovisual and shared-data telephony, networking) for this PESL niche. We characterize participation scenarios for using these resources and we discuss national networked access to science education expertise.

Deep learning for computational chemistry

Energy Technology Data Exchange (ETDEWEB)

Goh, Garrett B. [Advanced Computing, Mathematics, and Data Division, Pacific Northwest National Laboratory, 902 Battelle Blvd Richland Washington 99354; Hodas, Nathan O. [Advanced Computing, Mathematics, and Data Division, Pacific Northwest National Laboratory, 902 Battelle Blvd Richland Washington 99354; Vishnu, Abhinav [Advanced Computing, Mathematics, and Data Division, Pacific Northwest National Laboratory, 902 Battelle Blvd Richland Washington 99354

2017-03-08

The rise and fall of artificial neural networks is well documented in the scientific literature of both the fields of computer science and computational chemistry. Yet almost two decades later, we are now seeing a resurgence of interest in deep learning, a machine learning algorithm based on “deep” neural networks. Within the last few years, we have seen the transformative impact of deep learning the computer science domain, notably in speech recognition and computer vision, to the extent that the majority of practitioners in those field are now regularly eschewing prior established models in favor of deep learning models. In this review, we provide an introductory overview into the theory of deep neural networks and their unique properties as compared to traditional machine learning algorithms used in cheminformatics. By providing an overview of the variety of emerging applications of deep neural networks, we highlight its ubiquity and broad applicability to a wide range of challenges in the field, including QSAR, virtual screening, protein structure modeling, QM calculations, materials synthesis and property prediction. In reviewing the performance of deep neural networks, we observed a consistent outperformance against non neural networks state-of-the-art models across disparate research topics, and deep neural network based models often exceeded the “glass ceiling” expectations of their respective tasks. Coupled with the maturity of GPU-accelerated computing for training deep neural networks and the exponential growth of chemical data on which to train these networks on, we anticipate that deep learning algorithms will be a useful tool and may grow into a pivotal role for various challenges in the computational chemistry field.

Computational Science with the Titan Supercomputer: Early Outcomes and Lessons Learned

Science.gov (United States)

Wells, Jack

2014-03-01

Modeling and simulation with petascale computing has supercharged the process of innovation and understanding, dramatically accelerating time-to-insight and time-to-discovery. This presentation will focus on early outcomes from the Titan supercomputer at the Oak Ridge National Laboratory. Titan has over 18,000 hybrid compute nodes consisting of both CPUs and GPUs. In this presentation, I will discuss the lessons we have learned in deploying Titan and preparing applications to move from conventional CPU architectures to a hybrid machine. I will present early results of materials applications running on Titan and the implications for the research community as we prepare for exascale supercomputer in the next decade. Lastly, I will provide an overview of user programs at the Oak Ridge Leadership Computing Facility with specific information how researchers may apply for allocations of computing resources. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

The kids got game: Computer/video games, gender and learning outcomes in science classrooms

Science.gov (United States)

Anderson, Janice Lyn

In recent years educators have begun to explore how to purposively design computer/video games to support student learning. This interest in video games has arisen in part because educational video games appear to have the potential to improve student motivation and interest in technology, and engage students in learning through the use of a familiar medium (Squire, 2005; Shaffer, 2006; Gee, 2005). The purpose of this dissertation research is to specifically address the issue of student learning through the use of educational computer/video games. Using the Quest Atlantis computer game, this study involved a mixed model research strategy that allowed for both broad understandings of classroom practices and specific analysis of outcomes through the themes that emerged from the case studies of the gendered groups using the game. Specifically, this study examined how fifth-grade students learning about science concepts, such as water quality and ecosystems, unfolds over time as they participate in the Quest Atlantis computer game. Data sources included classroom observations and video, pre- and post-written assessments, pre- and post- student content interviews, student field notebooks, field reports and the field notes of the researcher. To make sense of how students learning unfolded, video was analyzed using a framework of interaction analysis and small group interactions (Jordan & Henderson, 1995; Webb, 1995). These coded units were then examined with respect to student artifacts and assessments and patterns of learning trajectories analyzed. The analysis revealed that overall, student learning outcomes improved from pre- to post-assessments for all students. While there were no observable gendered differences with respect to the test scores and content interviews, there were gendered differences with respect to game play. Implications for game design, use of external scaffolds, games as tools for learning and gendered findings are discussed.

Learning Science, Learning about Science, Doing Science: Different Goals Demand Different Learning Methods

Science.gov (United States)

Hodson, Derek

2014-01-01

This opinion piece paper urges teachers and teacher educators to draw careful distinctions among four basic learning goals: learning science, learning about science, doing science and learning to address socio-scientific issues. In elaboration, the author urges that careful attention is paid to the selection of teaching/learning methods that…

Learning computer science by watching video games

OpenAIRE

Nagataki, Hiroyuki

2014-01-01

This paper proposes a teaching method that utilizes video games in computer science education. The primary characteristic of this approach is that it utilizes video games as observational materials. The underlying idea is that by observing the computational behavior of a wide variety of video games, learners will easily grasp the fundamental architecture, theory, and technology of computers. The results of a case study conducted indicate that the method enhances the motivation of students for...

Fiction as an Introduction to Computer Science Research

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Goldsmith, Judy; Mattei, Nicholas

2014-01-01

The undergraduate computer science curriculum is generally focused on skills and tools; most students are not exposed to much research in the field, and do not learn how to navigate the research literature. We describe how fiction reviews (and specifically science fiction) are used as a gateway to research reviews. Students learn a little about…

Computer literacy and E-learning perception in Cameroon: the case of Yaounde Faculty of Medicine and Biomedical Sciences.

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Bediang, Georges; Stoll, Beat; Geissbuhler, Antoine; Klohn, Axel M; Stuckelberger, Astrid; Nko'o, Samuel; Chastonay, Philippe

2013-04-19

Health science education faces numerous challenges: assimilation of knowledge, management of increasing numbers of learners or changes in educational models and methodologies. With the emergence of e-learning, the use of information and communication technologies (ICT) and Internet to improve teaching and learning in health science training institutions has become a crucial issue for low and middle income countries, including sub-Saharan Africa. In this perspective, the Faculty of Medicine and Biomedical Sciences (FMBS) of Yaoundé has played a pioneering role in Cameroon in making significant efforts to improve students' and lecturers' access to computers and to Internet on its campus.The objective is to investigate how computer literacy and the perception towards e-learning and its potential could contribute to the learning and teaching process within the FMBS academic community. A cross-sectional survey was carried out among students, residents and lecturers. The data was gathered through a written questionnaire distributed at FMBS campus and analysed with routine statistical software. 307 participants answered the questionnaire: 218 students, 57 residents and 32 lecturers. Results show that most students, residents and lecturers have access to computers and Internet, although students' access is mainly at home for computers and at cyber cafés for Internet. Most of the participants have a fairly good mastery of ICT. However, some basic rules of good practices concerning the use of ICT in the health domain were still not well known. Google is the most frequently used engine to retrieve health literature for all participants; only 7% of students and 16% of residents have heard about Medical Subject Headings (MeSH).The potential of e-learning in the improvement of teaching and learning still remains insufficiently exploited. About two thirds of the students are not familiar with the concept of e-leaning. 84% of students and 58% of residents had never had access to

ASCR Workshop on Quantum Computing for Science

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Aspuru-Guzik, Alan [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Van Dam, Wim [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Farhi, Edward [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Gaitan, Frank [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Humble, Travis [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Jordan, Stephen [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Landahl, Andrew J [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Love, Peter [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Lucas, Robert [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Preskill, John [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Muller, Richard P. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Svore, Krysta [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Wiebe, Nathan [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Williams, Carl [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

2015-06-01

This report details the findings of the DOE ASCR Workshop on Quantum Computing for Science that was organized to assess the viability of quantum computing technologies to meet the computational requirements of the DOE’s science and energy mission, and to identify the potential impact of quantum technologies. The workshop was held on February 17-18, 2015, in Bethesda, MD, to solicit input from members of the quantum computing community. The workshop considered models of quantum computation and programming environments, physical science applications relevant to DOE's science mission as well as quantum simulation, and applied mathematics topics including potential quantum algorithms for linear algebra, graph theory, and machine learning. This report summarizes these perspectives into an outlook on the opportunities for quantum computing to impact problems relevant to the DOE’s mission as well as the additional research required to bring quantum computing to the point where it can have such impact.

A survey of computer science capstone course literature

Science.gov (United States)

Dugan, Robert F., Jr.

2011-09-01

In this article, we surveyed literature related to undergraduate computer science capstone courses. The survey was organized around course and project issues. Course issues included: course models, learning theories, course goals, course topics, student evaluation, and course evaluation. Project issues included: software process models, software process phases, project type, documentation, tools, groups, and instructor administration. We reflected on these issues and thecomputer science capstone course we have taught for seven years. The survey summarized, organized, and synthesized the literature to provide a referenced resource for computer science instructors and researchers interested in computer science capstone courses.

Smart learning objects for smart education in computer science theory, methodology and robot-based implementation

CERN Document Server

Stuikys, Vytautas

2015-01-01

This monograph presents the challenges, vision and context to design smart learning objects (SLOs) through Computer Science (CS) education modelling and feature model transformations. It presents the latest research on the meta-programming-based generative learning objects (the latter with advanced features are treated as SLOs) and the use of educational robots in teaching CS topics. The introduced methodology includes the overall processes to develop SLO and smart educational environment (SEE) and integrates both into the real education setting to provide teaching in CS using constructivist a

Teachers' Organization of Participation Structures for Teaching Science with Computer Technology

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Subramaniam, Karthigeyan

2016-08-01

This paper describes a qualitative study that investigated the nature of the participation structures and how the participation structures were organized by four science teachers when they constructed and communicated science content in their classrooms with computer technology. Participation structures focus on the activity structures and processes in social settings like classrooms thereby providing glimpses into the complex dynamics of teacher-students interactions, configurations, and conventions during collective meaning making and knowledge creation. Data included observations, interviews, and focus group interviews. Analysis revealed that the dominant participation structure evident within participants' instruction with computer technology was ( Teacher) initiation-( Student and Teacher) response sequences-( Teacher) evaluate participation structure. Three key events characterized the how participants organized this participation structure in their classrooms: setting the stage for interactive instruction, the joint activity, and maintaining accountability. Implications include the following: (1) teacher educators need to tap into the knowledge base that underscores science teachers' learning to teach philosophies when computer technology is used in instruction. (2) Teacher educators need to emphasize the essential idea that learning and cognition is not situated within the computer technology but within the pedagogical practices, specifically the participation structures. (3) The pedagogical practices developed with the integration or with the use of computer technology underscored by the teachers' own knowledge of classroom contexts and curriculum needs to be the focus for how students learn science content with computer technology instead of just focusing on how computer technology solely supports students learning of science content.

From boring to scoring - a collaborative serious game for learning and practicing mathematical logic for computer science education

Science.gov (United States)

Schäfer, Andreas; Holz, Jan; Leonhardt, Thiemo; Schroeder, Ulrik; Brauner, Philipp; Ziefle, Martina

2013-06-01

In this study, we address the problem of low retention and high dropout rates of computer science university students in early semesters of the studies. Complex and high abstract mathematical learning materials have been identified as one reason for the dropout rate. In order to support the understanding and practicing of core mathematical concepts, we developed a game-based multitouch learning environment in which the need for a suitable learning environment for mathematical logic was combined with the ability to train cooperation and collaboration in a learning scenario. As application domain, the field of mathematical logic had been chosen. The development process was accomplished along three steps: First, ethnographic interviews were run with 12 students of computer science revealing typical problems with mathematical logic. Second, a multitouch learning environment was developed. The game consists of multiple learning and playing modes in which teams of students can collaborate or compete against each other. Finally, a twofold evaluation of the environment was carried out (user study and cognitive walk-through). Overall, the evaluation showed that the game environment was easy to use and rated as helpful: The chosen approach of a multiplayer game supporting competition, collaboration, and cooperation is perceived as motivating and "fun."

Improving learning with science and social studies text using computer-based concept maps for students with disabilities.

Science.gov (United States)

Ciullo, Stephen; Falcomata, Terry S; Pfannenstiel, Kathleen; Billingsley, Glenna

2015-01-01

Concept maps have been used to help students with learning disabilities (LD) improve literacy skills and content learning, predominantly in secondary school. However, despite increased access to classroom technology, no previous studies have examined the efficacy of computer-based concept maps to improve learning from informational text for students with LD in elementary school. In this study, we used a concurrent delayed multiple probe design to evaluate the interactive use of computer-based concept maps on content acquisition with science and social studies texts for Hispanic students with LD in Grades 4 and 5. Findings from this study suggest that students improved content knowledge during intervention relative to a traditional instruction baseline condition. Learning outcomes and social validity information are considered to inform recommendations for future research and the feasibility of classroom implementation. © The Author(s) 2014.

Students’ needs of Computer Science: learning about image processing

Directory of Open Access Journals (Sweden)

Juana Marlen Tellez Reinoso

2009-12-01

Full Text Available To learn the treatment to image, specifically in the application Photoshop Marinates is one of the objectives in the specialty of Degree in Education, Computer Sciencie, guided to guarantee the preparation of the students as future professional, being able to reach in each citizen of our country an Integral General Culture. With that purpose a computer application is suggested, of tutorial type, entitled “Learning Treatment to Image".

Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs.

Science.gov (United States)

Marshall, Thomas; Champagne-Langabeer, Tiffiany; Castelli, Darla; Hoelscher, Deanna

2017-12-01

To present research models based on artificial intelligence and discuss the concept of cognitive computing and eScience as disruptive factors in health and life science research methodologies. The paper identifies big data as a catalyst to innovation and the development of artificial intelligence, presents a framework for computer-supported human problem solving and describes a transformation of research support models. This framework includes traditional computer support; federated cognition using machine learning and cognitive agents to augment human intelligence; and a semi-autonomous/autonomous cognitive model, based on deep machine learning, which supports eScience. The paper provides a forward view of the impact of artificial intelligence on our human-computer support and research methods in health and life science research. By augmenting or amplifying human task performance with artificial intelligence, cognitive computing and eScience research models are discussed as novel and innovative systems for developing more effective adaptive obesity intervention programs.

Computer literacy and E-learning perception in Cameroon: the case of Yaounde Faculty of Medicine and Biomedical Sciences

Science.gov (United States)

2013-01-01

Background Health science education faces numerous challenges: assimilation of knowledge, management of increasing numbers of learners or changes in educational models and methodologies. With the emergence of e-learning, the use of information and communication technologies (ICT) and Internet to improve teaching and learning in health science training institutions has become a crucial issue for low and middle income countries, including sub-Saharan Africa. In this perspective, the Faculty of Medicine and Biomedical Sciences (FMBS) of Yaoundé has played a pioneering role in Cameroon in making significant efforts to improve students’ and lecturers’ access to computers and to Internet on its campus. The objective is to investigate how computer literacy and the perception towards e-learning and its potential could contribute to the learning and teaching process within the FMBS academic community. Method A cross-sectional survey was carried out among students, residents and lecturers. The data was gathered through a written questionnaire distributed at FMBS campus and analysed with routine statistical software. Results 307 participants answered the questionnaire: 218 students, 57 residents and 32 lecturers. Results show that most students, residents and lecturers have access to computers and Internet, although students’ access is mainly at home for computers and at cyber cafés for Internet. Most of the participants have a fairly good mastery of ICT. However, some basic rules of good practices concerning the use of ICT in the health domain were still not well known. Google is the most frequently used engine to retrieve health literature for all participants; only 7% of students and 16% of residents have heard about Medical Subject Headings (MeSH). The potential of e-learning in the improvement of teaching and learning still remains insufficiently exploited. About two thirds of the students are not familiar with the concept of e-leaning. 84% of students and 58% of

MODEL OF THE IMPLEMENTATION PROCESS OF DESIGNING A CLOUD-BASED LEARNING ENVIRONMENT FOR THE PREPARATION OF BACHELOR OF COMPUTER SCIENCE

Directory of Open Access Journals (Sweden)

Vakaliuk T.

2017-12-01

Full Text Available The article presents the model of the process of implementation of the design of a cloud-oriented learning environment (CBLE for the preparation of bachelor of computer science, which consists of seven stages: analysis, setting goals and objectives, formulating requirements for the cloud-oriented learning environment, modeling the CBLE, developing CBLE, using CBLE in the educational Bachelor of Computer Science and Performance Testing. Each stage contains sub-steps. The analysis stage is considered in three aspects: psychological, pedagogical and technological. The formulation of the requirements for the CBLE was carried out taking into account the content and objectives of the training; experience of using CBLE; the personal qualities and knowledge, skills and abilities of students. The simulation phase was divided into sub-stages: the development of a structural and functional model of the CBLE for the preparation of bachelors of computer science; development of a model of cloud-oriented learning support system (COLSS; development of a model of interaction processes in CBLE. The fifth stage was also divided into the following sub-steps: domain registration and customization of the appearance of COLSS; definition of the disciplines provided by the curriculum preparation of bachelors of computer science; creation of own cabinets of teachers and students; download educational and methodological and accompanying materials; the choice of traditional and cloud-oriented forms, methods, means of training. The verification of the functioning of the CBLE will be carried out in the following areas: the functioning of the CBLE; results of students' educational activity; formation of information and communication competence of students.

Computer Graphics for Student Engagement in Science Learning.

Science.gov (United States)

Cifuentes, Lauren; Hsieh, Yi-Chuan Jane

2001-01-01

Discusses student use of computer graphics software and presents documentation from a visualization workshop designed to help learners use computer graphics to construct meaning while they studied science concepts. Describes problems and benefits when delivering visualization workshops in the natural setting of a middle school. (Author/LRW)

Impacts and Characteristics of Computer-Based Science Inquiry Learning Environments for Precollege Students

Science.gov (United States)

Donnelly, Dermot F.; Linn, Marcia C.; Ludvigsen, Sten

2014-01-01

The National Science Foundation-sponsored report "Fostering Learning in the Networked World" called for "a common, open platform to support communities of developers and learners in ways that enable both to take advantage of advances in the learning sciences." We review research on science inquiry learning environments (ILEs)…

Computer Science Concept Inventories: Past and Future

Science.gov (United States)

Taylor, C.; Zingaro, D.; Porter, L.; Webb, K. C.; Lee, C. B.; Clancy, M.

2014-01-01

Concept Inventories (CIs) are assessments designed to measure student learning of core concepts. CIs have become well known for their major impact on pedagogical techniques in other sciences, especially physics. Presently, there are no widely used, validated CIs for computer science. However, considerable groundwork has been performed in the form…

Computational Experiments for Science and Engineering Education

Science.gov (United States)

Xie, Charles

2011-01-01

How to integrate simulation-based engineering and science (SBES) into the science curriculum smoothly is a challenging question. For the importance of SBES to be appreciated, the core value of simulations-that they help people understand natural phenomena and solve engineering problems-must be taught. A strategy to achieve this goal is to introduce computational experiments to the science curriculum to replace or supplement textbook illustrations and exercises and to complement or frame hands-on or wet lab experiments. In this way, students will have an opportunity to learn about SBES without compromising other learning goals required by the standards and teachers will welcome these tools as they strengthen what they are already teaching. This paper demonstrates this idea using a number of examples in physics, chemistry, and engineering. These exemplary computational experiments show that it is possible to create a curriculum that is both deeper and wider.

Learning Science and the Science of Learning. Science Educators' Essay Collection.

Science.gov (United States)

Bybee, Rodger W., Ed.

This yearbook addresses critical issues in science learning and teaching. Contents are divided into four sections: (1) "How Do Students Learn Science?"; (2) "Designing Curriculum for Student Learning"; (3) "Teaching That Enhances Student Learning"; and (4) "Assessing Student Learning." Papers include: (1) "How Students Learn and How Teachers…

Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science

CERN Document Server

Nguyen, Quang

2012-01-01

The latest inventions in computer technology influence most of human daily activities. In the near future, there is tendency that all of aspect of human life will be dependent on computer applications. In manufacturing, robotics and automation have become vital for high quality products. In education, the model of teaching and learning is focusing more on electronic media than traditional ones. Issues related to energy savings and environment is becoming critical.   Computational Science should enhance the quality of human life,  not only solve their problems. Computational Science should help humans to make wise decisions by presenting choices and their possible consequences. Computational Science should help us make sense of observations, understand natural language, plan and reason with extensive background knowledge. Intelligence with wisdom is perhaps an ultimate goal for human-oriented science.   This book is a compilation of some recent research findings in computer application and computational sci...

Design, Development, and Evaluation of a Mobile Learning Application for Computing Education

Science.gov (United States)

Oyelere, Solomon Sunday; Suhonen, Jarkko; Wajiga, Greg M.; Sutinen, Erkki

2018-01-01

The study focused on the application of the design science research approach in the course of developing a mobile learning application, MobileEdu, for computing education in the Nigerian higher education context. MobileEdu facilitates the learning of computer science courses on mobile devices. The application supports ubiquitous, collaborative,…

Enabling Wide-Scale Computer Science Education through Improved Automated Assessment Tools

Science.gov (United States)

Boe, Bryce A.

There is a proliferating demand for newly trained computer scientists as the number of computer science related jobs continues to increase. University programs will only be able to train enough new computer scientists to meet this demand when two things happen: when there are more primary and secondary school students interested in computer science, and when university departments have the resources to handle the resulting increase in enrollment. To meet these goals, significant effort is being made to both incorporate computational thinking into existing primary school education, and to support larger university computer science class sizes. We contribute to this effort through the creation and use of improved automated assessment tools. To enable wide-scale computer science education we do two things. First, we create a framework called Hairball to support the static analysis of Scratch programs targeted for fourth, fifth, and sixth grade students. Scratch is a popular building-block language utilized to pique interest in and teach the basics of computer science. We observe that Hairball allows for rapid curriculum alterations and thus contributes to wide-scale deployment of computer science curriculum. Second, we create a real-time feedback and assessment system utilized in university computer science classes to provide better feedback to students while reducing assessment time. Insights from our analysis of student submission data show that modifications to the system configuration support the way students learn and progress through course material, making it possible for instructors to tailor assignments to optimize learning in growing computer science classes.

Innovations and Advances in Computer, Information, Systems Sciences, and Engineering

CERN Document Server

Sobh, Tarek

2013-01-01

Innovations and Advances in Computer, Information, Systems Sciences, and Engineering includes the proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2011). The contents of this book are a set of rigorously reviewed, world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of  Industrial Electronics, Technology and Automation, Telecommunications and Networking, Systems, Computing Sciences and Software Engineering, Engineering Education, Instructional Technology, Assessment, and E-learning.

Large-scale Labeled Datasets to Fuel Earth Science Deep Learning Applications

Science.gov (United States)

Maskey, M.; Ramachandran, R.; Miller, J.

2017-12-01

Deep learning has revolutionized computer vision and natural language processing with various algorithms scaled using high-performance computing. However, generic large-scale labeled datasets such as the ImageNet are the fuel that drives the impressive accuracy of deep learning results. Large-scale labeled datasets already exist in domains such as medical science, but creating them in the Earth science domain is a challenge. While there are ways to apply deep learning using limited labeled datasets, there is a need in the Earth sciences for creating large-scale labeled datasets for benchmarking and scaling deep learning applications. At the NASA Marshall Space Flight Center, we are using deep learning for a variety of Earth science applications where we have encountered the need for large-scale labeled datasets. We will discuss our approaches for creating such datasets and why these datasets are just as valuable as deep learning algorithms. We will also describe successful usage of these large-scale labeled datasets with our deep learning based applications.

A Blended Learning Module in Statistics for Computer Science and Engineering Students Revisited

Directory of Open Access Journals (Sweden)

Christina Andersson

2017-11-01

Full Text Available Teaching a statistics course for undergraduate computer science students can be very challenging: As statistics teachers we are usually faced with problems ranging from a complete disinterest in the subject to lack of basic knowledge in mathematics and anxiety for failing the exam, since statistics has the reputation of having high failure rates. In our case, we additionally struggle with difficulties in the timing of the lectures as well as often occurring absence of the students due to spare-time jobs or a long traveling time to the university. This paper reveals how these issues can be addressed by the introduction of a blended learning module in statistics. In the following, we describe an e-learning development process used to implement time- and location-independent learning in statistics. The study focuses on a six-step-approach for developing the blended learning module. In addition, the teaching framework for the blended module is presented, including suggestions for increasing the interest in learning the course. Furthermore, the first experimental in-class usage, including evaluation of the students’ expectations, has been completed and the outcome is discussed.

Mathematics and Computer Science: Exploring a Symbiotic Relationship

Science.gov (United States)

Bravaco, Ralph; Simonson, Shai

2004-01-01

This paper describes a "learning community" designed for sophomore computer science majors who are simultaneously studying discrete mathematics. The learning community consists of three courses: Discrete Mathematics, Data Structures and an Integrative Seminar/Lab. The seminar functions as a link that integrates the two disciplines. Participation…

Teaching and Learning Methodologies Supported by ICT Applied in Computer Science

Science.gov (United States)

Capacho, Jose

2016-01-01

The main objective of this paper is to show a set of new methodologies applied in the teaching of Computer Science using ICT. The methodologies are framed in the conceptual basis of the following sciences: Psychology, Education and Computer Science. The theoretical framework of the research is supported by Behavioral Theory, Gestalt Theory.…

Computer science: Data analysis meets quantum physics

Science.gov (United States)

Schramm, Steven

2017-10-01

A technique that combines machine learning and quantum computing has been used to identify the particles known as Higgs bosons. The method could find applications in many areas of science. See Letter p.375

Collaborative Learning: Cognitive and Computational Approaches. Advances in Learning and Instruction Series.

Science.gov (United States)

Dillenbourg, Pierre, Ed.

Intended to illustrate the benefits of collaboration between scientists from psychology and computer science, namely machine learning, this book contains the following chapters, most of which are co-authored by scholars from both sides: (1) "Introduction: What Do You Mean by 'Collaborative Learning'?" (Pierre Dillenbourg); (2)…

Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering

CERN Document Server

Elleithy, Khaled

2013-01-01

Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of  Industrial Electronics, Technology & Automation, Telecommunications and Networking, Systems, Computing Sciences and Software Engineering, Engineering Education, Instructional Technology, Assessment, and E-learning. This book includes the proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2010). The proceedings are a set of rigorously reviewed world-class manuscripts presenting the state of international practice in Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications.

Curricular Influences on Female Afterschool Facilitators' Computer Science Interests and Career Choices

Science.gov (United States)

Koch, Melissa; Gorges, Torie

2016-10-01

Underrepresented populations such as women, African-Americans, and Latinos/as often come to STEM (science, technology, engineering, and mathematics) careers by less traditional paths than White and Asian males. To better understand how and why women might shift toward STEM, particularly computer science, careers, we investigated the education and career direction of afterschool facilitators, primarily women of color in their twenties and thirties, who taught Build IT, an afterschool computer science curriculum for middle school girls. Many of these women indicated that implementing Build IT had influenced their own interest in technology and computer science and in some cases had resulted in their intent to pursue technology and computer science education. We wanted to explore the role that teaching Build IT may have played in activating or reactivating interest in careers in computer science and to see whether in the years following implementation of Build IT, these women pursued STEM education and/or careers. We reached nine facilitators who implemented the program in 2011-12 or shortly after. Many indicated that while facilitating Build IT, they learned along with the participants, increasing their interest in and confidence with technology and computer science. Seven of the nine participants pursued further STEM or computer science learning or modified their career paths to include more of a STEM or computer science focus. Through interviews, we explored what aspects of Build IT influenced these facilitators' interest and confidence in STEM and when relevant their pursuit of technology and computer science education and careers.

Computational Modeling of Teaching and Learning through Application of Evolutionary Algorithms

Directory of Open Access Journals (Sweden)

Richard Lamb

2015-09-01

Full Text Available Within the mind, there are a myriad of ideas that make sense within the bounds of everyday experience, but are not reflective of how the world actually exists; this is particularly true in the domain of science. Classroom learning with teacher explanation are a bridge through which these naive understandings can be brought in line with scientific reality. The purpose of this paper is to examine how the application of a Multiobjective Evolutionary Algorithm (MOEA can work in concert with an existing computational-model to effectively model critical-thinking in the science classroom. An evolutionary algorithm is an algorithm that iteratively optimizes machine learning based computational models. The research question is, does the application of an evolutionary algorithm provide a means to optimize the Student Task and Cognition Model (STAC-M and does the optimized model sufficiently represent and predict teaching and learning outcomes in the science classroom? Within this computational study, the authors outline and simulate the effect of teaching on the ability of a “virtual” student to solve a Piagetian task. Using the Student Task and Cognition Model (STAC-M a computational model of student cognitive processing in science class developed in 2013, the authors complete a computational experiment which examines the role of cognitive retraining on student learning. Comparison of the STAC-M and the STAC-M with inclusion of the Multiobjective Evolutionary Algorithm shows greater success in solving the Piagetian science-tasks post cognitive retraining with the Multiobjective Evolutionary Algorithm. This illustrates the potential uses of cognitive and neuropsychological computational modeling in educational research. The authors also outline the limitations and assumptions of computational modeling.

A Case Study of the Introduction of Computer Science in NZ Schools

Science.gov (United States)

Bell, Tim; Andreae, Peter; Robins, Anthony

2014-01-01

For many years computing in New Zealand schools was focused on teaching students how to use computers, and there was little opportunity for students to learn about programming and computer science as formal subjects. In this article we review a series of initiatives that occurred from 2007 to 2009 that led to programming and computer science being…

Designing Computer-Supported Complex Systems Curricula for the Next Generation Science Standards in High School Science Classrooms

Directory of Open Access Journals (Sweden)

Susan A. Yoon

2016-12-01

Full Text Available We present a curriculum and instruction framework for computer-supported teaching and learning about complex systems in high school science classrooms. This work responds to a need in K-12 science education research and practice for the articulation of design features for classroom instruction that can address the Next Generation Science Standards (NGSS recently launched in the USA. We outline the features of the framework, including curricular relevance, cognitively rich pedagogies, computational tools for teaching and learning, and the development of content expertise, and provide examples of how the framework is translated into practice. We follow this up with evidence from a preliminary study conducted with 10 teachers and 361 students, aimed at understanding the extent to which students learned from the activities. Results demonstrated gains in students’ complex systems understanding and biology content knowledge. In interviews, students identified influences of various aspects of the curriculum and instruction framework on their learning.

Deep learning for computational chemistry.

Science.gov (United States)

Goh, Garrett B; Hodas, Nathan O; Vishnu, Abhinav

2017-06-15

The rise and fall of artificial neural networks is well documented in the scientific literature of both computer science and computational chemistry. Yet almost two decades later, we are now seeing a resurgence of interest in deep learning, a machine learning algorithm based on multilayer neural networks. Within the last few years, we have seen the transformative impact of deep learning in many domains, particularly in speech recognition and computer vision, to the extent that the majority of expert practitioners in those field are now regularly eschewing prior established models in favor of deep learning models. In this review, we provide an introductory overview into the theory of deep neural networks and their unique properties that distinguish them from traditional machine learning algorithms used in cheminformatics. By providing an overview of the variety of emerging applications of deep neural networks, we highlight its ubiquity and broad applicability to a wide range of challenges in the field, including quantitative structure activity relationship, virtual screening, protein structure prediction, quantum chemistry, materials design, and property prediction. In reviewing the performance of deep neural networks, we observed a consistent outperformance against non-neural networks state-of-the-art models across disparate research topics, and deep neural network-based models often exceeded the "glass ceiling" expectations of their respective tasks. Coupled with the maturity of GPU-accelerated computing for training deep neural networks and the exponential growth of chemical data on which to train these networks on, we anticipate that deep learning algorithms will be a valuable tool for computational chemistry. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Integrating Computational Science Tools into a Thermodynamics Course

Science.gov (United States)

Vieira, Camilo; Magana, Alejandra J.; García, R. Edwin; Jana, Aniruddha; Krafcik, Matthew

2018-01-01

Computational tools and methods have permeated multiple science and engineering disciplines, because they enable scientists and engineers to process large amounts of data, represent abstract phenomena, and to model and simulate complex concepts. In order to prepare future engineers with the ability to use computational tools in the context of their disciplines, some universities have started to integrate these tools within core courses. This paper evaluates the effect of introducing three computational modules within a thermodynamics course on student disciplinary learning and self-beliefs about computation. The results suggest that using worked examples paired to computer simulations to implement these modules have a positive effect on (1) student disciplinary learning, (2) student perceived ability to do scientific computing, and (3) student perceived ability to do computer programming. These effects were identified regardless of the students' prior experiences with computer programming.

Factors influencing exemplary science teachers' levels of computer use

Science.gov (United States)

Hakverdi, Meral

the exemplary science teachers' level of computer use suggesting that computer use is dependent on perceived abilities at using computers. The teachers' use of computer-related applications/tools during class, and their personal self-efficacy, age, and gender are highly related with their level of knowledge/skills in using specific computer applications for science instruction. The teachers' level of knowledge/skills in using specific computer applications for science instruction and gender related to their use of computer-related applications/tools during class and the students' use of computer-related applications/tools in or for their science class. In conclusion, exemplary science teachers need assistance in learning and using computer-related applications/tool in their science class.

Rad World -- computer-animated video radiation and hazardous waste-management science curriculum

International Nuclear Information System (INIS)

Powell, B.

1996-01-01

The Rad World computer-animated video and curriculum materials were developed through a grant from the Waste-management Education and Research Consortium. The package, which includes a computer-animated video, hands-on activities, and multidisciplinary lessons concerning radiation and hazardous-waste management, was created to approach these subjects in an informative, yet entertaining, manner. The lessons and video, designed to supplement studies of energy and physical science at the middle school and high school level, also implement quality and consistent science education as outlined by the New Mexico Science Standards and Benchmarks (1995). Consistent with the curriculum standards and benchmarks, the curriculum includes library research, collaborative learning, hands-on-science, and discovery learning. Pre- and post-tests are included

Pathways of professional learning for elementary science teachers using computer learning environments

Science.gov (United States)

Williams, Latonya Michelle

This dissertation reports on a three year study designed to investigate the trajectories of two urban elementary school teachers---a novice and an experienced teacher---learning to teach a science curriculum unit using an inquiry approach supported by the Web-based Inquiry Science Environment (WISE). This research investigated teachers' development in knowledge and practice. Through analyses of video records of classroom instruction and professional development meetings, repeated interviews, and student assessments, I have produced case studies of teachers' journeys as they implement the technological inquiry-based instructional model. This study captures the interplay between the teachers' pedagogical content knowledge, enacted practice, and insights into students' thinking about complex science ideas. I trace the factors that encouraged and supported the teachers' development, in addition to the kinds of struggles they faced and overcame. I discuss the social supports I provided for the teachers, including scaffolding them in reflecting on their practice, assisting them with curriculum customizations, and supporting their learning such as arranging online interactions with scientists. I analyze spontaneous activities such as teachers' own reflections. The results suggest that the novice and experienced teacher's classroom practices became more inquiry oriented across time. For both teachers, use of technology accompanied an increase in science dialogue with small groups in years two and three. The novice teacher began asking inquiry questions in her second year of classroom experience, after a great deal of professional support. Both teachers improved in their pedagogical content knowledge from years one through three as a result of the varied professional development supports. The results suggest that teachers' improvement in instructional strategies and pedagogical content knowledge accompanied students' improvement in understanding of the science content.

30th International Symposium on Computer and Information Sciences

CERN Document Server

Gelenbe, Erol; Gorbil, Gokce; Lent, Ricardo

2016-01-01

The 30th Anniversary of the ISCIS (International Symposium on Computer and Information Sciences) series of conferences, started by Professor Erol Gelenbe at Bilkent University, Turkey, in 1986, will be held at Imperial College London on September 22-24, 2015. The preceding two ISCIS conferences were held in Krakow, Poland in 2014, and in Paris, France, in 2013.   The Proceedings of ISCIS 2015 published by Springer brings together rigorously reviewed contributions from leading international experts. It explores new areas of research and technological development in computer science, computer engineering, and information technology, and presents new applications in fast changing fields such as information science, computer science and bioinformatics.   The topics covered include (but are not limited to) advances in networking technologies, software defined networks, distributed systems and the cloud, security in the Internet of Things, sensor systems, and machine learning and large data sets.

Programming Paradigms in Computer Science Education

OpenAIRE

Bolshakova, Elena

2005-01-01

Main styles, or paradigms of programming – imperative, functional, logic, and object-oriented – are shortly described and compared, and corresponding programming techniques are outlined. Programming languages are classified in accordance with the main style and techniques supported. It is argued that profound education in computer science should include learning base programming techniques of all main programming paradigms.

Science of learning is learning of science: why we need a dialectical approach to science education research

Science.gov (United States)

Roth, Wolff-Michael

2012-06-01

Research on learning science in informal settings and the formal (sometimes experimental) study of learning in classrooms or psychological laboratories tend to be separate domains, even drawing on different theories and methods. These differences make it difficult to compare knowing and learning observed in one paradigm/context with those observed in the other. Even more interestingly, the scientists studying science learning rarely consider their own learning in relation to the phenomena they study. A dialectical, reflexive approach to learning, however, would theorize the movement of an educational science (its learning and development) as a special and general case—subject matter and method—of the phenomenon of learning (in/of) science. In the dialectical approach to the study of science learning, therefore, subject matter, method, and theory fall together. This allows for a perspective in which not only disparate fields of study—school science learning and learning in everyday life—are integrated but also where the progress in the science of science learning coincides with its topic. Following the articulation of a contradictory situation on comparing learning in different settings, I describe the dialectical approach. As a way of providing a concrete example, I then trace the historical movement of my own research group as it simultaneously and alternately studied science learning in formal and informal settings. I conclude by recommending cultural-historical, dialectical approaches to learning and interaction analysis as a context for fruitful interdisciplinary research on science learning within and across different settings.

Innovations and advances in computing, informatics, systems sciences, networking and engineering

CERN Document Server

Elleithy, Khaled

2015-01-01

Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering  This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Informatics, and Systems Sciences, and Engineering. It includes selected papers from the conference proceedings of the Eighth and some selected papers of the Ninth International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2012 & CISSE 2013). Coverage includes topics in: Industrial Electronics, Technology & Automation, Telecommunications and Networking, Systems, Computing Sciences and Software Engineering, Engineering Education, Instructional Technology, Assessment, and E-learning.  ·       Provides the latest in a series of books growing out of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering; ·       Includes chapters in the most a...

COMPUTATIONAL SCIENCE CENTER

International Nuclear Information System (INIS)

DAVENPORT, J.

2006-01-01

Computational Science is an integral component of Brookhaven's multi science mission, and is a reflection of the increased role of computation across all of science. Brookhaven currently has major efforts in data storage and analysis for the Relativistic Heavy Ion Collider (RHIC) and the ATLAS detector at CERN, and in quantum chromodynamics. The Laboratory is host for the QCDOC machines (quantum chromodynamics on a chip), 10 teraflop/s computers which boast 12,288 processors each. There are two here, one for the Riken/BNL Research Center and the other supported by DOE for the US Lattice Gauge Community and other scientific users. A 100 teraflop/s supercomputer will be installed at Brookhaven in the coming year, managed jointly by Brookhaven and Stony Brook, and funded by a grant from New York State. This machine will be used for computational science across Brookhaven's entire research program, and also by researchers at Stony Brook and across New York State. With Stony Brook, Brookhaven has formed the New York Center for Computational Science (NYCCS) as a focal point for interdisciplinary computational science, which is closely linked to Brookhaven's Computational Science Center (CSC). The CSC has established a strong program in computational science, with an emphasis on nanoscale electronic structure and molecular dynamics, accelerator design, computational fluid dynamics, medical imaging, parallel computing and numerical algorithms. We have been an active participant in DOES SciDAC program (Scientific Discovery through Advanced Computing). We are also planning a major expansion in computational biology in keeping with Laboratory initiatives. Additional laboratory initiatives with a dependence on a high level of computation include the development of hydrodynamics models for the interpretation of RHIC data, computational models for the atmospheric transport of aerosols, and models for combustion and for energy utilization. The CSC was formed to bring together

Computer science handbook. Vol. 13.3. Environmental computer science. Computer science methods for environmental protection and environmental research

International Nuclear Information System (INIS)

Page, B.; Hilty, L.M.

1994-01-01

Environmental computer science is a new partial discipline of applied computer science, which makes use of methods and techniques of information processing in environmental protection. Thanks to the inter-disciplinary nature of environmental problems, computer science acts as a mediator between numerous disciplines and institutions in this sector. The handbook reflects the broad spectrum of state-of-the art environmental computer science. The following important subjects are dealt with: Environmental databases and information systems, environmental monitoring, modelling and simulation, visualization of environmental data and knowledge-based systems in the environmental sector. (orig.) [de

Laptop Use, Interactive Science Software, and Science Learning Among At-Risk Students

Science.gov (United States)

Zheng, Binbin; Warschauer, Mark; Hwang, Jin Kyoung; Collins, Penelope

2014-08-01

This year-long, quasi-experimental study investigated the impact of the use of netbook computers and interactive science software on fifth-grade students' science learning processes, academic achievement, and interest in further science, technology, engineering, and mathematics (STEM) study within a linguistically diverse school district in California. Analysis of students' state standardized science test scores indicated that the program helped close gaps in scientific achievement between at-risk learners (i.e., English learners, Hispanics, and free/reduced-lunch recipients) and their counterparts. Teacher and student interviews and classroom observations suggested that computer-supported visual representations and interactions supported diverse learners' scientific understanding and inquiry and enabled more individualized and differentiated instruction. Finally, interviews revealed that the program had a positive impact on students' motivation in science and on their interest in pursuing science-related careers. This study suggests that technology-facilitated science instruction is beneficial for improving at-risk students' science achievement, scaffolding students' scientific understanding, and strengthening students' motivation to pursue STEM-related careers.

Guest Editorial: Special Section on Learning Systems for Science and Technology Education

NARCIS (Netherlands)

Bredeweg, B.; McLaren, B.M.; Biswas, B.

2013-01-01

Computer-based technology can significantly enhance science education and training, as well as shape both what and how people learn. With this special issue of the IEEE Transactions on Learning Technologies (TLT), we present contributions that address education and training in science and technology

COMPUTATIONAL SCIENCE CENTER

Energy Technology Data Exchange (ETDEWEB)

DAVENPORT, J.

2006-11-01

Computational Science is an integral component of Brookhaven's multi science mission, and is a reflection of the increased role of computation across all of science. Brookhaven currently has major efforts in data storage and analysis for the Relativistic Heavy Ion Collider (RHIC) and the ATLAS detector at CERN, and in quantum chromodynamics. The Laboratory is host for the QCDOC machines (quantum chromodynamics on a chip), 10 teraflop/s computers which boast 12,288 processors each. There are two here, one for the Riken/BNL Research Center and the other supported by DOE for the US Lattice Gauge Community and other scientific users. A 100 teraflop/s supercomputer will be installed at Brookhaven in the coming year, managed jointly by Brookhaven and Stony Brook, and funded by a grant from New York State. This machine will be used for computational science across Brookhaven's entire research program, and also by researchers at Stony Brook and across New York State. With Stony Brook, Brookhaven has formed the New York Center for Computational Science (NYCCS) as a focal point for interdisciplinary computational science, which is closely linked to Brookhaven's Computational Science Center (CSC). The CSC has established a strong program in computational science, with an emphasis on nanoscale electronic structure and molecular dynamics, accelerator design, computational fluid dynamics, medical imaging, parallel computing and numerical algorithms. We have been an active participant in DOES SciDAC program (Scientific Discovery through Advanced Computing). We are also planning a major expansion in computational biology in keeping with Laboratory initiatives. Additional laboratory initiatives with a dependence on a high level of computation include the development of hydrodynamics models for the interpretation of RHIC data, computational models for the atmospheric transport of aerosols, and models for combustion and for energy utilization. The CSC was formed to

Supporting Student Learning in Computer Science Education via the Adaptive Learning Environment ALMA

Directory of Open Access Journals (Sweden)

Alexandra Gasparinatou

2015-10-01

Full Text Available This study presents the ALMA environment (Adaptive Learning Models from texts and Activities. ALMA supports the processes of learning and assessment via: (1 texts differing in local and global cohesion for students with low, medium, and high background knowledge; (2 activities corresponding to different levels of comprehension which prompt the student to practically implement different text-reading strategies, with the recommended activity sequence adapted to the student’s learning style; (3 an overall framework for informing, guiding, and supporting students in performing the activities; and; (4 individualized support and guidance according to student specific characteristics. ALMA also, supports students in distance learning or in blended learning in which students are submitted to face-to-face learning supported by computer technology. The adaptive techniques provided via ALMA are: (a adaptive presentation and (b adaptive navigation. Digital learning material, in accordance with the text comprehension model described by Kintsch, was introduced into the ALMA environment. This material can be exploited in either distance or blended learning.

COMPUTATIONAL SCIENCE CENTER

Energy Technology Data Exchange (ETDEWEB)

DAVENPORT,J.

2004-11-01

The Brookhaven Computational Science Center brings together researchers in biology, chemistry, physics, and medicine with applied mathematicians and computer scientists to exploit the remarkable opportunities for scientific discovery which have been enabled by modern computers. These opportunities are especially great in computational biology and nanoscience, but extend throughout science and technology and include for example, nuclear and high energy physics, astrophysics, materials and chemical science, sustainable energy, environment, and homeland security.

Towards a Framework to Improve the Quality of Teaching and Learning: Consciousness and Validation in Computer Engineering Science, UCT

Science.gov (United States)

Lévano, Marcos; Albornoz, Andrea

2016-01-01

This paper aims to propose a framework to improve the quality in teaching and learning in order to develop good practices to train professionals in the career of computer engineering science. To demonstrate the progress and achievements, our work is based on two principles for the formation of professionals, one based on the model of learning…

COMPUTATIONAL SCIENCE CENTER

Energy Technology Data Exchange (ETDEWEB)

DAVENPORT, J.

2005-11-01

The Brookhaven Computational Science Center brings together researchers in biology, chemistry, physics, and medicine with applied mathematicians and computer scientists to exploit the remarkable opportunities for scientific discovery which have been enabled by modern computers. These opportunities are especially great in computational biology and nanoscience, but extend throughout science and technology and include, for example, nuclear and high energy physics, astrophysics, materials and chemical science, sustainable energy, environment, and homeland security. To achieve our goals we have established a close alliance with applied mathematicians and computer scientists at Stony Brook and Columbia Universities.

Computer-aided classification of lung nodules on computed tomography images via deep learning technique

Directory of Open Access Journals (Sweden)

Hua KL

2015-08-01

Full Text Available Kai-Lung Hua,1 Che-Hao Hsu,1 Shintami Chusnul Hidayati,1 Wen-Huang Cheng,2 Yu-Jen Chen3 1Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, 2Research Center for Information Technology Innovation, Academia Sinica, 3Department of Radiation Oncology, MacKay Memorial Hospital, Taipei, Taiwan Abstract: Lung cancer has a poor prognosis when not diagnosed early and unresectable lesions are present. The management of small lung nodules noted on computed tomography scan is controversial due to uncertain tumor characteristics. A conventional computer-aided diagnosis (CAD scheme requires several image processing and pattern recognition steps to accomplish a quantitative tumor differentiation result. In such an ad hoc image analysis pipeline, every step depends heavily on the performance of the previous step. Accordingly, tuning of classification performance in a conventional CAD scheme is very complicated and arduous. Deep learning techniques, on the other hand, have the intrinsic advantage of an automatic exploitation feature and tuning of performance in a seamless fashion. In this study, we attempted to simplify the image analysis pipeline of conventional CAD with deep learning techniques. Specifically, we introduced models of a deep belief network and a convolutional neural network in the context of nodule classification in computed tomography images. Two baseline methods with feature computing steps were implemented for comparison. The experimental results suggest that deep learning methods could achieve better discriminative results and hold promise in the CAD application domain. Keywords: nodule classification, deep learning, deep belief network, convolutional neural network

A Survey of Computer Science Capstone Course Literature

Science.gov (United States)

Dugan, Robert F., Jr.

2011-01-01

In this article, we surveyed literature related to undergraduate computer science capstone courses. The survey was organized around course and project issues. Course issues included: course models, learning theories, course goals, course topics, student evaluation, and course evaluation. Project issues included: software process models, software…

Democratizing Computer Science

Science.gov (United States)

Margolis, Jane; Goode, Joanna; Ryoo, Jean J.

2015-01-01

Computer science programs are too often identified with a narrow stratum of the student population, often white or Asian boys who have access to computers at home. But because computers play such a huge role in our world today, all students can benefit from the study of computer science and the opportunity to build skills related to computing. The…

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research

OpenAIRE

Kelling, Steve; Gerbracht, Jeff; Fink, Daniel; Lagoze, Carl; Wong, Weng-Keen; Yu, Jun; Damoulas, Theodoros; Gomes, Carla

2012-01-01

In this paper we describe eBird, a citizen-science project that takes advantage of the human observational capacity to identify birds to species, which is then used to accurately represent patterns of bird occurrences across broad spatial and temporal extents. eBird employs artificial intelligence techniques such as machine learning to improve data quality by taking advantage of the synergies between human computation and mechanical computation. We call this a Human-Computer Learning Network,...

FREE SOFTWARE IN ELECTRONIC LEARNING FUTURE TEACHERS OF MATHEMATICS, PHYSICS AND COMPUTER SCIENCE

Directory of Open Access Journals (Sweden)

Vladyslav Ye. Velychko

2016-05-01

Full Text Available Popularity of the use of free software in the IT industry is much higher than its popular use in educational activities. Disadvantages of free software and problems of its implementation in the educational process is a limiting factor for its use in the education system, however, openness, accessibility and functionality are the main factors for the introduction of free software in the educational process. Nevertheless, for future teachers of mathematics, physics and informatics free software is designed as well as possible because of the specificity of its creation, and therefore, there is a question of the system analysis of the possibilities of using open source software in e-learning for future teachers of mathematics, physics and computer science.

From chalkboard, slides, and paper to e-learning: How computing technologies have transformed anatomical sciences education.

Science.gov (United States)

Trelease, Robert B

2016-11-01

Until the late-twentieth century, primary anatomical sciences education was relatively unenhanced by advanced technology and dependent on the mainstays of printed textbooks, chalkboard- and photographic projection-based classroom lectures, and cadaver dissection laboratories. But over the past three decades, diffusion of innovations in computer technology transformed the practices of anatomical education and research, along with other aspects of work and daily life. Increasing adoption of first-generation personal computers (PCs) in the 1980s paved the way for the first practical educational applications, and visionary anatomists foresaw the usefulness of computers for teaching. While early computers lacked high-resolution graphics capabilities and interactive user interfaces, applications with video discs demonstrated the practicality of programming digital multimedia linking descriptive text with anatomical imaging. Desktop publishing established that computers could be used for producing enhanced lecture notes, and commercial presentation software made it possible to give lectures using anatomical and medical imaging, as well as animations. Concurrently, computer processing supported the deployment of medical imaging modalities, including computed tomography, magnetic resonance imaging, and ultrasound, that were subsequently integrated into anatomy instruction. Following its public birth in the mid-1990s, the World Wide Web became the ubiquitous multimedia networking technology underlying the conduct of contemporary education and research. Digital video, structural simulations, and mobile devices have been more recently applied to education. Progressive implementation of computer-based learning methods interacted with waves of ongoing curricular change, and such technologies have been deemed crucial for continuing medical education reforms, providing new challenges and opportunities for anatomical sciences educators. Anat Sci Educ 9: 583-602. © 2016 American

Developing a Mobile Learning Management System for Outdoors Nature Science Activities Based on 5E Learning Cycle

Science.gov (United States)

Lai, Ah-Fur; Lai, Horng-Yih; Chuang, Wei-Hsiang; Wu, Zih-Heng

2015-01-01

Traditional outdoor learning activities such as inquiry-based learning in nature science encounter many dilemmas. Due to prompt development of mobile computing and widespread of mobile devices, mobile learning becomes a big trend on education. The main purpose of this study is to develop a mobile-learning management system for overcoming the…

Computational Materials Science | Materials Science | NREL

Science.gov (United States)

Computational Materials Science Computational Materials Science An image of interconnecting, sphere science capabilities span many research fields and interests. Electronic, Optical, and Transport Properties of Photovoltaic Materials Material properties and defect physics of Si, CdTe, III-V, CIGS, CZTS

Computer sciences

Science.gov (United States)

Smith, Paul H.

1988-01-01

The Computer Science Program provides advanced concepts, techniques, system architectures, algorithms, and software for both space and aeronautics information sciences and computer systems. The overall goal is to provide the technical foundation within NASA for the advancement of computing technology in aerospace applications. The research program is improving the state of knowledge of fundamental aerospace computing principles and advancing computing technology in space applications such as software engineering and information extraction from data collected by scientific instruments in space. The program includes the development of special algorithms and techniques to exploit the computing power provided by high performance parallel processors and special purpose architectures. Research is being conducted in the fundamentals of data base logic and improvement techniques for producing reliable computing systems.

Social sciences via network analysis and computation

CERN Document Server

Kanduc, Tadej

2015-01-01

In recent years information and communication technologies have gained significant importance in the social sciences. Because there is such rapid growth of knowledge, methods and computer infrastructure, research can now seamlessly connect interdisciplinary fields such as business process management, data processing and mathematics. This study presents some of the latest results, practices and state-of-the-art approaches in network analysis, machine learning, data mining, data clustering and classifications in the contents of social sciences. It also covers various real-life examples such as t

The Effect of In-Service Training of Computer Science Teachers on Scratch Programming Language Skills Using an Electronic Learning Platform on Programming Skills and the Attitudes towards Teaching Programming

Science.gov (United States)

Alkaria, Ahmed; Alhassan, Riyadh

2017-01-01

This study was conducted to examine the effect of in-service training of computer science teachers in Scratch language using an electronic learning platform on acquiring programming skills and attitudes towards teaching programming. The sample of this study consisted of 40 middle school computer science teachers. They were assigned into two…

Advances in Computer Science and Education

CERN Document Server

Huang, Xiong

2012-01-01

CSE2011 is an integrated conference concentration its focus on computer science and education. In the proceeding, you can learn much more knowledge about computer science and education of researchers from all around the world. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned fields. In order to meet the high quality of Springer, AISC series, the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organizers had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful

Piloting a new approach: making use of technology to present a distance learning computer science course

Directory of Open Access Journals (Sweden)

Tina Wilson

1996-12-01

dimension; and (c a motivational dimension. We will focus on the design and management of a conference M205-STILE, which was employed by the Open University's Computer Science department to supplement the teaching of an undergraduate course. The conference was structured into sub-conferences to take account of the above three dimensions and to facilitate students' computer-supported collaborative learning. This paper reports on the construction of the CMC environment, but more importantly how the three dimensions can be sustained through the role of a person whom we have called an Interactive Media Facilitator (IMF. This implementation is part of the 'Students' and Teachers' Integrated Learning Environment' (STILE project.

Mastering Cognitive Development Theory in Computer Science Education

Science.gov (United States)

Gluga, Richard; Kay, Judy; Lister, Raymond; Kleitman, Simon; Kleitman, Sabina

2013-01-01

To design an effective computer science curriculum, educators require a systematic method of classifying the difficulty level of learning activities and assessment tasks. This is important for curriculum design and implementation and for communication between educators. Different educators must be able to use the method consistently, so that…

Foundations for a new science of learning.

Science.gov (United States)

Meltzoff, Andrew N; Kuhl, Patricia K; Movellan, Javier; Sejnowski, Terrence J

2009-07-17

Human learning is distinguished by the range and complexity of skills that can be learned and the degree of abstraction that can be achieved compared with those of other species. Homo sapiens is also the only species that has developed formal ways to enhance learning: teachers, schools, and curricula. Human infants have an intense interest in people and their behavior and possess powerful implicit learning mechanisms that are affected by social interaction. Neuroscientists are beginning to understand the brain mechanisms underlying learning and how shared brain systems for perception and action support social learning. Machine learning algorithms are being developed that allow robots and computers to learn autonomously. New insights from many different fields are converging to create a new science of learning that may transform educational practices.

Activities of the Research Institute for Advanced Computer Science

Science.gov (United States)

Oliger, Joseph

1994-01-01

The Research Institute for Advanced Computer Science (RIACS) was established by the Universities Space Research Association (USRA) at the NASA Ames Research Center (ARC) on June 6, 1983. RIACS is privately operated by USRA, a consortium of universities with research programs in the aerospace sciences, under contract with NASA. The primary mission of RIACS is to provide research and expertise in computer science and scientific computing to support the scientific missions of NASA ARC. The research carried out at RIACS must change its emphasis from year to year in response to NASA ARC's changing needs and technological opportunities. Research at RIACS is currently being done in the following areas: (1) parallel computing; (2) advanced methods for scientific computing; (3) high performance networks; and (4) learning systems. RIACS technical reports are usually preprints of manuscripts that have been submitted to research journals or conference proceedings. A list of these reports for the period January 1, 1994 through December 31, 1994 is in the Reports and Abstracts section of this report.

Cognitive Correlates of Performance in Algorithms in a Computer Science Course for High School

Science.gov (United States)

Avancena, Aimee Theresa; Nishihara, Akinori

2014-01-01

Computer science for high school faces many challenging issues. One of these is whether the students possess the appropriate cognitive ability for learning the fundamentals of computer science. Online tests were created based on known cognitive factors and fundamental algorithms and were implemented among the second grade students in the…

Developmental Changes in Learning: Computational Mechanisms and Social Influences

Directory of Open Access Journals (Sweden)

Florian Bolenz

2017-11-01

Full Text Available Our ability to learn from the outcomes of our actions and to adapt our decisions accordingly changes over the course of the human lifespan. In recent years, there has been an increasing interest in using computational models to understand developmental changes in learning and decision-making. Moreover, extensions of these models are currently applied to study socio-emotional influences on learning in different age groups, a topic that is of great relevance for applications in education and health psychology. In this article, we aim to provide an introduction to basic ideas underlying computational models of reinforcement learning and focus on parameters and model variants that might be of interest to developmental scientists. We then highlight recent attempts to use reinforcement learning models to study the influence of social information on learning across development. The aim of this review is to illustrate how computational models can be applied in developmental science, what they can add to our understanding of developmental mechanisms and how they can be used to bridge the gap between psychological and neurobiological theories of development.

Investigating the Role of Student Motivation in Computer Science Education through One-on-One Tutoring

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Boyer, Kristy Elizabeth; Phillips, Robert; Wallis, Michael D.; Vouk, Mladen A.; Lester, James C.

2009-01-01

The majority of computer science education research to date has focused on purely cognitive student outcomes. Understanding the "motivational" states experienced by students may enhance our understanding of the computer science learning process, and may reveal important instructional interventions that could benefit student engagement and…

Computer science handbook

CERN Document Server

Tucker, Allen B

2004-01-01

Due to the great response to the famous Computer Science Handbook edited by Allen B. Tucker, … in 2004 Chapman & Hall/CRC published a second edition of this comprehensive reference book. Within more than 70 chapters, every one new or significantly revised, one can find any kind of information and references about computer science one can imagine. … All in all, there is absolute nothing about computer science that can not be found in the encyclopedia with its 110 survey articles …-Christoph Meinel, Zentralblatt MATH

Use of Digital Game Based Learning and Gamification in Secondary School Science: The Effect on Student Engagement, Learning and Gender Difference

Science.gov (United States)

Khan, Amna; Ahmad, Farzana Hayat; Malik, Muhammad Muddassir

2017-01-01

This study aimed to identify the impact of a game based learning (GBL) application using computer technologies on student engagement in secondary school science classrooms. The literature reveals that conventional Science teaching techniques (teacher-centered lecture and teaching), which foster rote learning among students, are one of the major…

Computational mediation as factor of motivation and meaningful learning in education of sciences of 9th grade: astronomy topics

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Da Silva, F. M.; Furtado, W. W.

2012-10-01

The main purpose of this study was to analyze the contribution of using hypertext and pedagogic mediation in search of a Meaningful Learning Process in Sciences. We investigate the usage of hypertext in the teaching and learning methods of Astronomy modules. A survey was conducted with students from the 9th grade of Primary School of a public school in the city of Goiânia, Goiás in Brazil. We have analyzed the possibilities that hypermedia can offer in the teaching and learning process, using as reference David Ausubel's Theory of Meaningful Learning. The study was divided into four phases: application of an initial questionnaire on students, development of didactic material (hypertext), six classes held in a computer lab with the use of hypermedia and a final questionnaire applied in the lab after classes. This research indicated that the use of hypertext linked to pedagogical mediation processes is seen as a motivational tool and has potential to foster to Meaningful Learning.

Genetic Science Learning Center

Science.gov (United States)

Genetic Science Learning Center Making science and health easy for everyone to understand Home News Our Team What We Do ... Collaboration Conferences Current Projects Publications Contact The Genetic Science Learning Center at The University of Utah is a ...

The effect of a pretest in an interactive, multimodal pretraining system for learning science concepts

NARCIS (Netherlands)

Bos, Floor/Floris; Terlouw, C.; Pilot, Albert

2009-01-01

In line with the cognitive theory of multimedia learning by Moreno and Mayer (2007), an interactive, multimodal learning environment was designed for the pretraining of science concepts in the joint area of physics, chemistry, biology, applied mathematics, and computer sciences. In the experimental

Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal Science

Directory of Open Access Journals (Sweden)

Nicola Lettieri

2018-04-01

Full Text Available Over the years, computation has become a fundamental part of the scientific practice in several research fields that goes far beyond the boundaries of natural sciences. Data mining, machine learning, simulations and other computational methods lie today at the hearth of the scientific endeavour in a growing number of social research areas from anthropology to economics. In this scenario, an increasingly important role is played by analytical platforms: integrated environments allowing researchers to experiment cutting-edge data-driven and computation-intensive analyses. The paper discusses the appearance of such tools in the emerging field of computational legal science. After a general introduction to the impact of computational methods on both natural and social sciences, we describe the concept and the features of an analytical platform exploring innovative cross-methodological approaches to the academic and investigative study of crime. Stemming from an ongoing project involving researchers from law, computer science and bioinformatics, the initiative is presented and discussed as an opportunity to raise a debate about the future of legal scholarship and, inside of it, about the challenges of computational legal science.

A Review of Computer Science Resources for Learning and Teaching with K-12 Computing Curricula: An Australian Case Study

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Falkner, Katrina; Vivian, Rebecca

2015-01-01

To support teachers to implement Computer Science curricula into classrooms from the very first year of school, teachers, schools and organisations seek quality curriculum resources to support implementation and teacher professional development. Until now, many Computer Science resources and outreach initiatives have targeted K-12 school-age…

Teaching computer science at school: some ideas

OpenAIRE

Bodei, Chiara; Grossi, Roberto; Lagan?, Maria Rita; Righi, Marco

2010-01-01

As a young discipline, Computer Science does not rely on longly tested didactic procedures. This allows the experimentation of innovative teaching methods at schools, especially in early childhood education. Our approach is based on the idea that abstracts notions should be gained as the final result of a learning path made of concrete and touchable steps. To illustrate our methodology, we present some of the teaching projects we proposed.

Computer Assisted Language Learning. Routledge Studies in Computer Assisted Language Learning

Science.gov (United States)

Pennington, Martha

2011-01-01

Computer-assisted language learning (CALL) is an approach to language teaching and learning in which computer technology is used as an aid to the presentation, reinforcement and assessment of material to be learned, usually including a substantial interactive element. This books provides an up-to date and comprehensive overview of…

Mathematics, Physics and Computer Sciences The computation of ...

African Journals Online (AJOL)

Mathematics, Physics and Computer Sciences The computation of system matrices for biquadraticsquare finite ... Global Journal of Pure and Applied Sciences ... The computation of system matrices for biquadraticsquare finite elements.

Large-Scale Sentinel-1 Processing for Solid Earth Science and Urgent Response using Cloud Computing and Machine Learning

Science.gov (United States)

Hua, H.; Owen, S. E.; Yun, S. H.; Agram, P. S.; Manipon, G.; Starch, M.; Sacco, G. F.; Bue, B. D.; Dang, L. B.; Linick, J. P.; Malarout, N.; Rosen, P. A.; Fielding, E. J.; Lundgren, P.; Moore, A. W.; Liu, Z.; Farr, T.; Webb, F.; Simons, M.; Gurrola, E. M.

2017-12-01

With the increased availability of open SAR data (e.g. Sentinel-1 A/B), new challenges are being faced with processing and analyzing the voluminous SAR datasets to make geodetic measurements. Upcoming SAR missions such as NISAR are expected to generate close to 100TB per day. The Advanced Rapid Imaging and Analysis (ARIA) project can now generate geocoded unwrapped phase and coherence products from Sentinel-1 TOPS mode data in an automated fashion, using the ISCE software. This capability is currently being exercised on various study sites across the United States and around the globe, including Hawaii, Central California, Iceland and South America. The automated and large-scale SAR data processing and analysis capabilities use cloud computing techniques to speed the computations and provide scalable processing power and storage. Aspects such as how to processing these voluminous SLCs and interferograms at global scales, keeping up with the large daily SAR data volumes, and how to handle the voluminous data rates are being explored. Scene-partitioning approaches in the processing pipeline help in handling global-scale processing up to unwrapped interferograms with stitching done at a late stage. We have built an advanced science data system with rapid search functions to enable access to the derived data products. Rapid image processing of Sentinel-1 data to interferograms and time series is already being applied to natural hazards including earthquakes, floods, volcanic eruptions, and land subsidence due to fluid withdrawal. We will present the status of the ARIA science data system for generating science-ready data products and challenges that arise from being able to process SAR datasets to derived time series data products at large scales. For example, how do we perform large-scale data quality screening on interferograms? What approaches can be used to minimize compute, storage, and data movement costs for time series analysis in the cloud? We will also

NEW SCIENCE OF LEARNING: COGNITION, COMPUTERS AND COLLABORATION IN EDUCATION

Directory of Open Access Journals (Sweden)

Reviewed by Onur DONMEZ

2011-01-01

Full Text Available Information and Communication Technologies (ICTs have pervaded and changed much of our lives both on individual and societal scales. PCs, notebooks, tablets, cell phones, RSS feeds, emails, podcasts, tweets, social networks are all technologies we are familiar with and we are intensively using them in our daily lives. It is safe to say that our lives are becoming more and more digitized day by day.We have already invented bunch of terms to refer effects of these technologies on our lives. Digital nomads, grasshopper minds, millennium learners, digital natives, information age, knowledge building, knowledge society, network society are all terms invented to refer societal changes motivated by ICTs. New opportunities provided by ICTs are also shaping skill and quality demands of the next age. Individuals have to match these qualities if they want to earn their rightful places in tomorrow‘s world. Education is of course the sole light to guide them in their transformation to tomorrow‘s individual. One question arises however: ―are today‘s educational paradigms and practices ready to confront such a challenge?‖ There is a coherent and strong opinion among educators that the answer is ―NO‖. ―Today‘s students think and process information fundamentally differently from their predecessors‖(Prensky, 2001. And education has to keep pace with these students and their needs. But how? Khine & Saleh managed to gather distinguished colleagues around this question within their book titled ―New Science of Learning: Cognition, Computers and Collaboration‖. The book is composed of 29 chapters within three major topics which are: cognition, computers and collaboration.

Why formal learning theory matters for cognitive science.

Science.gov (United States)

Fulop, Sean; Chater, Nick

2013-01-01

This article reviews a number of different areas in the foundations of formal learning theory. After outlining the general framework for formal models of learning, the Bayesian approach to learning is summarized. This leads to a discussion of Solomonoff's Universal Prior Distribution for Bayesian learning. Gold's model of identification in the limit is also outlined. We next discuss a number of aspects of learning theory raised in contributed papers, related to both computational and representational complexity. The article concludes with a description of how semi-supervised learning can be applied to the study of cognitive learning models. Throughout this overview, the specific points raised by our contributing authors are connected to the models and methods under review. Copyright © 2013 Cognitive Science Society, Inc.

Computer-aided design and computer science technology

Science.gov (United States)

Fulton, R. E.; Voigt, S. J.

1976-01-01

A description is presented of computer-aided design requirements and the resulting computer science advances needed to support aerospace design. The aerospace design environment is examined, taking into account problems of data handling and aspects of computer hardware and software. The interactive terminal is normally the primary interface between the computer system and the engineering designer. Attention is given to user aids, interactive design, interactive computations, the characteristics of design information, data management requirements, hardware advancements, and computer science developments.

Fourth International Conference on Computer Science and Its Applications (CIIA 2013)

CERN Document Server

Mohamed, Otmane; Bellatreche, Ladjel; Recent Advances in Robotics and Automation

2013-01-01

    "During the last decades Computational Intelligence has emerged and showed its contributions in various broad research communities (computer science, engineering, finance, economic, decision making, etc.). This was done by proposing approaches and algorithms based either on turnkey techniques belonging to the large panoply of solutions offered by computational intelligence such as data mining, genetic algorithms, bio-inspired methods, Bayesian networks, machine learning, fuzzy logic, artificial neural networks, etc. or inspired by computational intelligence techniques to develop new ad-hoc algorithms for the problem under consideration.    This volume is a comprehensive collection of extended contributions from the 4th International Conference on Computer Science and Its Applications (CIIA’2013) organized into four main tracks: Track 1: Computational Intelligence, Track  2: Security & Network Technologies, Track  3: Information Technology and Track 4: Computer Systems and Applications. This ...

Toward using games to teach fundamental computer science concepts

Science.gov (United States)

Edgington, Jeffrey Michael

Video and computer games have become an important area of study in the field of education. Games have been designed to teach mathematics, physics, raise social awareness, teach history and geography, and train soldiers in the military. Recent work has created computer games for teaching computer programming and understanding basic algorithms. We present an investigation where computer games are used to teach two fundamental computer science concepts: boolean expressions and recursion. The games are intended to teach the concepts and not how to implement them in a programming language. For this investigation, two computer games were created. One is designed to teach basic boolean expressions and operators and the other to teach fundamental concepts of recursion. We describe the design and implementation of both games. We evaluate the effectiveness of these games using before and after surveys. The surveys were designed to ascertain basic understanding, attitudes and beliefs regarding the concepts. The boolean game was evaluated with local high school students and students in a college level introductory computer science course. The recursion game was evaluated with students in a college level introductory computer science course. We present the analysis of the collected survey information for both games. This analysis shows a significant positive change in student attitude towards recursion and modest gains in student learning outcomes for both topics.

Sustainable computational science

DEFF Research Database (Denmark)

Rougier, Nicolas; Hinsen, Konrad; Alexandre, Frédéric

2017-01-01

Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results, however computational science lags behind. In the best case, authors may provide their source code as a compressed archive and they may feel confident their research...... workflows, in particular in peer-reviews. Existing journals have been slow to adapt: source codes are rarely requested, hardly ever actually executed to check that they produce the results advertised in the article. ReScience is a peer-reviewed journal that targets computational research and encourages...... the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research can be replicated from its description. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience...

3rd International Conference on Computer Science, Applied Mathematics and Applications

CERN Document Server

Nguyen, Ngoc; Do, Tien

2015-01-01

This volume contains the extended versions of papers presented at the 3rd International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2015) held on 11-13 May, 2015 in Metz, France. The book contains 5 parts: 1. Mathematical programming and optimization: theory, methods and software, Operational research and decision making, Machine learning, data security, and bioinformatics, Knowledge information system, Software engineering. All chapters in the book discuss theoretical and algorithmic as well as practical issues connected with computation methods & optimization methods for knowledge engineering and machine learning techniques.  

Computer Labs | College of Engineering & Applied Science

Science.gov (United States)

Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Structural Engineering Laboratory Water Resources Laboratory Computer Science Department Computer Science Academic Programs Computer Science Undergraduate Programs Computer Science Major Computer Science Tracks

Computer Resources | College of Engineering & Applied Science

Science.gov (United States)

Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Structural Engineering Laboratory Water Resources Laboratory Computer Science Department Computer Science Academic Programs Computer Science Undergraduate Programs Computer Science Major Computer Science Tracks

Computer Science | Classification | College of Engineering & Applied

Science.gov (United States)

Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Structural Engineering Laboratory Water Resources Laboratory Computer Science Department Computer Science Academic Programs Computer Science Undergraduate Programs Computer Science Major Computer Science Tracks

Robotics as an integration subject in the computer science university studies. The experience of the University of Almeria

Directory of Open Access Journals (Sweden)

Manuela Berenguel Soria

2012-11-01

Full Text Available This work presents a global view of the role of robotics in computer science studies, mainly in university degrees. The main motivation of the use of robotics in these studies deals with the following issues: robotics permits to put in practice many computer science fundamental topics, it is a multidisciplinary area which allows to complete the basic knowledge of any computer science student, it facilitates the practice and learning of basic competences of any engineer (for instance, teamwork, and there is a wide market looking for people with robotics knowledge. These ideas are discussed from our own experience in the University of Almeria acquired through the studies of Computer Science Technical Engineering, Computer Science Engineering, Computer Science Degree and Computer Science Postgraduate.

Finding the Hook: Computer Science Education in Elementary Contexts

Science.gov (United States)

Ozturk, Zehra; Dooley, Caitlin McMunn; Welch, Meghan

2018-01-01

The purpose of this study was to investigate how elementary teachers with little knowledge of computer science (CS) and project-based learning (PBL) experienced integrating CS through PBL as a part of a standards-based elementary curriculum in Grades 3-5. The researchers used qualitative constant comparison methods on field notes and reflections…

States Move toward Computer Science Standards. Policy Update. Vol. 23, No. 17

Science.gov (United States)

Tilley-Coulson, Eve

2016-01-01

While educators and parents recognize computer science as a key skill for career readiness, only five states have adopted learning standards in this area. Tides are changing, however, as the Every Student Succeeds Act (ESSA) recognizes with its call on states to provide a "well-rounded education" for students, to include computer science…

Bringing Computational Thinking into the High School Science and Math Classroom

Science.gov (United States)

Trouille, Laura; Beheshti, E.; Horn, M.; Jona, K.; Kalogera, V.; Weintrop, D.; Wilensky, U.; University CT-STEM Project, Northwestern; University CenterTalent Development, Northwestern

2013-01-01

Computational thinking (for example, the thought processes involved in developing algorithmic solutions to problems that can then be automated for computation) has revolutionized the way we do science. The Next Generation Science Standards require that teachers support their students’ development of computational thinking and computational modeling skills. As a result, there is a very high demand among teachers for quality materials. Astronomy provides an abundance of opportunities to support student development of computational thinking skills. Our group has taken advantage of this to create a series of astronomy-based computational thinking lesson plans for use in typical physics, astronomy, and math high school classrooms. This project is funded by the NSF Computing Education for the 21st Century grant and is jointly led by Northwestern University’s Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), the Computer Science department, the Learning Sciences department, and the Office of STEM Education Partnerships (OSEP). I will also briefly present the online ‘Astro Adventures’ courses for middle and high school students I have developed through NU’s Center for Talent Development. The online courses take advantage of many of the amazing online astronomy enrichment materials available to the public, including a range of hands-on activities and the ability to take images with the Global Telescope Network. The course culminates with an independent computational research project.

FORMATION OF ICT COMPETENCES FUTURE TEACHER OF COMPUTER SCIENCE IN THE ELEMENTARY SCHOOL VIA DELPHI SYSTEM

Directory of Open Access Journals (Sweden)

Hrihorii Pustovit

2015-10-01

Full Text Available In article, authors clarified the concept of "ICT competence of future teachers of computer science in the elementary school"; improved criteria for formation of the ICT competences future teachers of computer science in the elementary school to identify the system ready for use Delphi during process of visual programming in professional activity. We present the model of the formation of the ICT competence future teachers of computer science in the elementary school via visual programming tools, where importance given to the construction of individual learning paths, taking into account individual learning rhythm, because students have different levels of training, they are different in nature perception of information. It is proved that the proposed model will make it possible to carry out training, starting from the result of the educational process at the university, which takes into account the impact of external and internal variables, as well as a feedback mechanism that allows adjustment of the process at different stages. Authors presented developed method of forming ICT competences future teachers of computer science in the elementary school via Delphi tools during learning of visual programming, feature of which is that to present course materials were chosen LMS Moodle platform.

Optimizing Cognitive Load for Learning from Computer-Based Science Simulations

Science.gov (United States)

Lee, Hyunjeong; Plass, Jan L.; Homer, Bruce D.

2006-01-01

How can cognitive load in visual displays of computer simulations be optimized? Middle-school chemistry students (N = 257) learned with a simulation of the ideal gas law. Visual complexity was manipulated by separating the display of the simulations in two screens (low complexity) or presenting all information on one screen (high complexity). The…

Computability, complexity, and languages fundamentals of theoretical computer science

CERN Document Server

Davis, Martin D; Rheinboldt, Werner

1983-01-01

Computability, Complexity, and Languages: Fundamentals of Theoretical Computer Science provides an introduction to the various aspects of theoretical computer science. Theoretical computer science is the mathematical study of models of computation. This text is composed of five parts encompassing 17 chapters, and begins with an introduction to the use of proofs in mathematics and the development of computability theory in the context of an extremely simple abstract programming language. The succeeding parts demonstrate the performance of abstract programming language using a macro expa

ICASE Computer Science Program

Science.gov (United States)

1985-01-01

The Institute for Computer Applications in Science and Engineering computer science program is discussed in outline form. Information is given on such topics as problem decomposition, algorithm development, programming languages, and parallel architectures.

The ATLAS Computing Agora: a resource web site for citizen science projects

CERN Document Server

Bourdarios, Claire; The ATLAS collaboration

2016-01-01

The ATLAS collaboration has recently setup a number of citizen science projects which have a strong IT component and could not have been envisaged without the growth of general public computing resources and network connectivity: event simulation through volunteer computing, algorithms improvement via Machine Learning challenges, event display analysis on citizen science platforms, use of open data, etc. Most of the interactions with volunteers are handled through message boards, but specific outreach material was also developed, giving an enhanced visibility to the ATLAS software and computing techniques, challenges and community. In this talk the Atlas Computing Agora (ACA) web platform will be presented as well as some of the specific material developed for some of the projects.

On teaching computer ethics within a computer science department.

Science.gov (United States)

Quinn, Michael J

2006-04-01

The author has surveyed a quarter of the accredited undergraduate computer science programs in the United States. More than half of these programs offer a 'social and ethical implications of computing' course taught by a computer science faculty member, and there appears to be a trend toward teaching ethics classes within computer science departments. Although the decision to create an 'in house' computer ethics course may sometimes be a pragmatic response to pressure from the accreditation agency, this paper argues that teaching ethics within a computer science department can provide students and faculty members with numerous benefits. The paper lists topics that can be covered in a computer ethics course and offers some practical suggestions for making the course successful.

Interdisciplinary research and education at the biology-engineering-computer science interface: a perspective.

Science.gov (United States)

Tadmor, Brigitta; Tidor, Bruce

2005-09-01

Progress in the life sciences, including genome sequencing and high-throughput experimentation, offers an opportunity for understanding biology and medicine from a systems perspective. This 'new view', which complements the more traditional component-based approach, involves the integration of biological research with approaches from engineering disciplines and computer science. The result is more than a new set of technologies. Rather, it promises a fundamental reconceptualization of the life sciences based on the development of quantitative and predictive models to describe crucial processes. To achieve this change, learning communities are being formed at the interface of the life sciences, engineering and computer science. Through these communities, research and education will be integrated across disciplines and the challenges associated with multidisciplinary team-based science will be addressed.

Learning Science beyond the Classroom.

Science.gov (United States)

Ramey-Gassert, Linda

1997-01-01

Examines a cross-section of craft knowledge and research-based literature of science learning beyond the classroom. Describes informal science education programs, and discusses implications for science teaching, focusing on the importance of informal science learning for children and in-service and preservice teachers. Proposes a model for…

Computational Science and Innovation

International Nuclear Information System (INIS)

Dean, David Jarvis

2011-01-01

Simulations - utilizing computers to solve complicated science and engineering problems - are a key ingredient of modern science. The U.S. Department of Energy (DOE) is a world leader in the development of high-performance computing (HPC), the development of applied math and algorithms that utilize the full potential of HPC platforms, and the application of computing to science and engineering problems. An interesting general question is whether the DOE can strategically utilize its capability in simulations to advance innovation more broadly. In this article, I will argue that this is certainly possible.

An IoT and Wearable Technology Hackathon for Promoting Careers in Computer Science

Science.gov (United States)

Byrne, Jake Rowan; O'Sullivan, Katriona; Sullivan, Kevin

2017-01-01

This paper explores the use of a constructivist 21st-century learning model to implement a week-long workshop, delivered as a "hackathon," to encourage preuniversity teenagers to pursue careers in STEM, with a particular emphasis on computer science. For Irish preuniversity students, their experience of computing can vary from word…

Pedagogy Matters: Engaging Diverse Students as Community Researchers in Three Computer Science Classrooms

Science.gov (United States)

Ryoo, Jean Jinsun

2013-01-01

Computing occupations are among the fastest growing in the U.S. and technological innovations are central to solving world problems. Yet only our most privileged students are learning to use technology for creative purposes through rigorous computer science education opportunities. In order to increase access for diverse students and females who…

Central Computer Science Concepts to Research-Based Teacher Training in Computer Science: An Experimental Study

Science.gov (United States)

Zendler, Andreas; Klaudt, Dieter

2012-01-01

The significance of computer science for economics and society is undisputed. In particular, computer science is acknowledged to play a key role in schools (e.g., by opening multiple career paths). The provision of effective computer science education in schools is dependent on teachers who are able to properly represent the discipline and whose…

Imprinting Community College Computer Science Education with Software Engineering Principles

Science.gov (United States)

Hundley, Jacqueline Holliday

Although the two-year curriculum guide includes coverage of all eight software engineering core topics, the computer science courses taught in Alabama community colleges limit student exposure to the programming, or coding, phase of the software development lifecycle and offer little experience in requirements analysis, design, testing, and maintenance. We proposed that some software engineering principles can be incorporated into the introductory-level of the computer science curriculum. Our vision is to give community college students a broader exposure to the software development lifecycle. For those students who plan to transfer to a baccalaureate program subsequent to their community college education, our vision is to prepare them sufficiently to move seamlessly into mainstream computer science and software engineering degrees. For those students who plan to move from the community college to a programming career, our vision is to equip them with the foundational knowledge and skills required by the software industry. To accomplish our goals, we developed curriculum modules for teaching seven of the software engineering knowledge areas within current computer science introductory-level courses. Each module was designed to be self-supported with suggested learning objectives, teaching outline, software tool support, teaching activities, and other material to assist the instructor in using it.

Montgomery Blair Science, Mathematics and Computer Science Magnet Program: A Successful Model for Meeting the Needs of Highly Able STEM Learners

Science.gov (United States)

Stein, David; Ostrander, Peter; Lee, G. Maie

2016-01-01

The Magnet Program at Montgomery Blair High School is an application-based magnet program utilizing a curriculum focused on science, mathematics, and computer science catering to interested, talented, and eager to learn students in Montgomery County, Maryland. This article identifies and discusses some of the unique aspects of the Magnet Program…

Theoretical computer science and the natural sciences

Science.gov (United States)

Marchal, Bruno

2005-12-01

I present some fundamental theorems in computer science and illustrate their relevance in Biology and Physics. I do not assume prerequisites in mathematics or computer science beyond the set N of natural numbers, functions from N to N, the use of some notational conveniences to describe functions, and at some point, a minimal amount of linear algebra and logic. I start with Cantor's transcendental proof by diagonalization of the non enumerability of the collection of functions from natural numbers to the natural numbers. I explain why this proof is not entirely convincing and show how, by restricting the notion of function in terms of discrete well defined processes, we are led to the non algorithmic enumerability of the computable functions, but also-through Church's thesis-to the algorithmic enumerability of partial computable functions. Such a notion of function constitutes, with respect to our purpose, a crucial generalization of that concept. This will make easy to justify deep and astonishing (counter-intuitive) incompleteness results about computers and similar machines. The modified Cantor diagonalization will provide a theory of concrete self-reference and I illustrate it by pointing toward an elementary theory of self-reproduction-in the Amoeba's way-and cellular self-regeneration-in the flatworm Planaria's way. To make it easier, I introduce a very simple and powerful formal system known as the Schoenfinkel-Curry combinators. I will use the combinators to illustrate in a more concrete way the notion introduced above. The combinators, thanks to their low-level fine grained design, will also make it possible to make a rough but hopefully illuminating description of the main lessons gained by the careful observation of nature, and to describe some new relations, which should exist between computer science, the science of life and the science of inert matter, once some philosophical, if not theological, hypotheses are made in the cognitive sciences. In the

Sustaining Student Engagement in Learning Science

Science.gov (United States)

Ateh, Comfort M.; Charpentier, Alicia

2014-01-01

Many students perceive science to be a difficult subject and are minimally engaged in learning it. This article describes a lesson that embedded an activity to engage students in learning science. It also identifies features of a science lesson that are likely to enhance students' engagement and learning of science and possibly reverse students'…

NASA's computer science research program

Science.gov (United States)

Larsen, R. L.

1983-01-01

Following a major assessment of NASA's computing technology needs, a new program of computer science research has been initiated by the Agency. The program includes work in concurrent processing, management of large scale scientific databases, software engineering, reliable computing, and artificial intelligence. The program is driven by applications requirements in computational fluid dynamics, image processing, sensor data management, real-time mission control and autonomous systems. It consists of university research, in-house NASA research, and NASA's Research Institute for Advanced Computer Science (RIACS) and Institute for Computer Applications in Science and Engineering (ICASE). The overall goal is to provide the technical foundation within NASA to exploit advancing computing technology in aerospace applications.

Design Principles for "Thriving in Our Digital World": A High School Computer Science Course

Science.gov (United States)

Veletsianos, George; Beth, Bradley; Lin, Calvin; Russell, Gregory

2016-01-01

"Thriving in Our Digital World" is a technology-enhanced dual enrollment course introducing high school students to computer science through project- and problem-based learning. This article describes the evolution of the course and five lessons learned during the design, development, implementation, and iteration of the course from its…

Learning Science: Some Insights from Cognitive Science

Science.gov (United States)

Matthews, P. S. C.

Theories of teaching and learning, including those associated with constructivism, often make no overt reference to an underlying assumption that they make; that is, human cognition depends on domain-free, general-purpose processing by the brain. This assumption is shown to be incompatible with evidence from studies of children's early learning. Rather, cognition is modular in nature, and often domain-specific. Recognition of modularity requires a re-evaluation of some aspects of current accounts of learning science. Especially, children's ideas in science are sometimes triggered rather than learned. It is in the nature of triggered conceptual structures that they are not necessarily expressible in language, and that they may not be susceptible to change by later learning.

Mathematics and Computer Science | Argonne National Laboratory

Science.gov (United States)

Extreme Computing Data-Intensive Science Applied Mathematics Science & Engineering Applications Software Extreme Computing Data-Intensive Science Applied Mathematics Science & Engineering Opportunities For Employees Staff Directory Argonne National Laboratory Mathematics and Computer Science Tools

GeoBrain Computational Cyber-laboratory for Earth Science Studies

Science.gov (United States)

Deng, M.; di, L.

2009-12-01

Computational approaches (e.g., computer-based data visualization, analysis and modeling) are critical for conducting increasingly data-intensive Earth science (ES) studies to understand functions and changes of the Earth system. However, currently Earth scientists, educators, and students have met two major barriers that prevent them from being effectively using computational approaches in their learning, research and application activities. The two barriers are: 1) difficulties in finding, obtaining, and using multi-source ES data; and 2) lack of analytic functions and computing resources (e.g., analysis software, computing models, and high performance computing systems) to analyze the data. Taking advantages of recent advances in cyberinfrastructure, Web service, and geospatial interoperability technologies, GeoBrain, a project funded by NASA, has developed a prototype computational cyber-laboratory to effectively remove the two barriers. The cyber-laboratory makes ES data and computational resources at large organizations in distributed locations available to and easily usable by the Earth science community through 1) enabling seamless discovery, access and retrieval of distributed data, 2) federating and enhancing data discovery with a catalogue federation service and a semantically-augmented catalogue service, 3) customizing data access and retrieval at user request with interoperable, personalized, and on-demand data access and services, 4) automating or semi-automating multi-source geospatial data integration, 5) developing a large number of analytic functions as value-added, interoperable, and dynamically chainable geospatial Web services and deploying them in high-performance computing facilities, 6) enabling the online geospatial process modeling and execution, and 7) building a user-friendly extensible web portal for users to access the cyber-laboratory resources. Users can interactively discover the needed data and perform on-demand data analysis and

ONLINE SCIENCE LEARNING:Best Practices and Technologies

Directory of Open Access Journals (Sweden)

TOJDE

2009-04-01

Full Text Available This essential publication is for all research and academic libraries, especially those institutions with online and distance education courses available in their science education programs. This book will also benefit audiences within the science education community of practice and others interested in STEM education, virtual schools, e-learning, m-learning, natural sciences, physical sciences, biological sciences, geosciences, online learning models, virtual laboratories, virtual field trips, cyberinfrastructure, neurological learning and the neuro-cognitive model. The continued growth in general studies and liberal arts and science programs online has led to a rise in the number of students whose science learning experiences are partially or exclusively online. character and quality of online science instruction.

On the use of Cloud Computing and Machine Learning for Large-Scale SAR Science Data Processing and Quality Assessment Analysi

Science.gov (United States)

Hua, H.

2016-12-01

Geodetic imaging is revolutionizing geophysics, but the scope of discovery has been limited by labor-intensive technological implementation of the analyses. The Advanced Rapid Imaging and Analysis (ARIA) project has proven capability to automate SAR data processing and analysis. Existing and upcoming SAR missions such as Sentinel-1A/B and NISAR are also expected to generate massive amounts of SAR data. This has brought to the forefront the need for analytical tools for SAR quality assessment (QA) on the large volumes of SAR data-a critical step before higher-level time series and velocity products can be reliably generated. Initially leveraging an advanced hybrid-cloud computing science data system for performing large-scale processing, machine learning approaches were augmented for automated analysis of various quality metrics. Machine learning-based user-training of features, cross-validation, prediction models were integrated into our cloud-based science data processing flow to enable large-scale and high-throughput QA analytics for enabling improvements to the production quality of geodetic data products.

Computer and Information Sciences III : 27th International Symposium on Computer and Information Sciences

CERN Document Server

Lent, Ricardo

2013-01-01

Information technology is the enabling foundation science and technology for all of human activity at the beginning of the 21st century, and advances in this area are crucial to all of us. These advances are taking place all over the world and can only be followed and perceived when researchers from all over the world assemble, and exchange their ideas in conferences such as the one presented in this proceedings volume regarding the 27th International Symposium on Computer and Information Systems, held at the Institut Henri Poincare' in Paris on October 3 and 4, 2012. Computer and Information Sciences III: 27th International Symposium on Computer and Information Sciences contains novel advances in the state of the art covering applied research in electrical and computer engineering and computer science, across the broad area of information technology. It provides access to the main innovative activities in research across the world, and points to the results obtained recently by some of the most active teams ...

Sustainable computational science: the ReScience initiative

Directory of Open Access Journals (Sweden)

Nicolas P. Rougier

2017-12-01

Full Text Available Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results; however, computational science lags behind. In the best case, authors may provide their source code as a compressed archive and they may feel confident their research is reproducible. But this is not exactly true. James Buckheit and David Donoho proposed more than two decades ago that an article about computational results is advertising, not scholarship. The actual scholarship is the full software environment, code, and data that produced the result. This implies new workflows, in particular in peer-reviews. Existing journals have been slow to adapt: source codes are rarely requested and are hardly ever actually executed to check that they produce the results advertised in the article. ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research can be replicated from its description. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience resides on GitHub where each new implementation of a computational study is made available together with comments, explanations, and software tests.

Reinforcement learning in computer vision

Science.gov (United States)

Bernstein, A. V.; Burnaev, E. V.

2018-04-01

Nowadays, machine learning has become one of the basic technologies used in solving various computer vision tasks such as feature detection, image segmentation, object recognition and tracking. In many applications, various complex systems such as robots are equipped with visual sensors from which they learn state of surrounding environment by solving corresponding computer vision tasks. Solutions of these tasks are used for making decisions about possible future actions. It is not surprising that when solving computer vision tasks we should take into account special aspects of their subsequent application in model-based predictive control. Reinforcement learning is one of modern machine learning technologies in which learning is carried out through interaction with the environment. In recent years, Reinforcement learning has been used both for solving such applied tasks as processing and analysis of visual information, and for solving specific computer vision problems such as filtering, extracting image features, localizing objects in scenes, and many others. The paper describes shortly the Reinforcement learning technology and its use for solving computer vision problems.

Bringing computational science to the public.

Science.gov (United States)

McDonagh, James L; Barker, Daniel; Alderson, Rosanna G

2016-01-01

The increasing use of computers in science allows for the scientific analyses of large datasets at an increasing pace. We provided examples and interactive demonstrations at Dundee Science Centre as part of the 2015 Women in Science festival, to present aspects of computational science to the general public. We used low-cost Raspberry Pi computers to provide hands on experience in computer programming and demonstrated the application of computers to biology. Computer games were used as a means to introduce computers to younger visitors. The success of the event was evaluated by voluntary feedback forms completed by visitors, in conjunction with our own self-evaluation. This work builds on the original work of the 4273π bioinformatics education program of Barker et al. (2013, BMC Bioinform. 14:243). 4273π provides open source education materials in bioinformatics. This work looks at the potential to adapt similar materials for public engagement events. It appears, at least in our small sample of visitors (n = 13), that basic computational science can be conveyed to people of all ages by means of interactive demonstrations. Children as young as five were able to successfully edit simple computer programs with supervision. This was, in many cases, their first experience of computer programming. The feedback is predominantly positive, showing strong support for improving computational science education, but also included suggestions for improvement. Our conclusions are necessarily preliminary. However, feedback forms suggest methods were generally well received among the participants; "Easy to follow. Clear explanation" and "Very easy. Demonstrators were very informative." Our event, held at a local Science Centre in Dundee, demonstrates that computer games and programming activities suitable for young children can be performed alongside a more specialised and applied introduction to computational science for older visitors.

Theory and computational science

International Nuclear Information System (INIS)

Durham, P.

1985-01-01

The theoretical and computational science carried out at the Daresbury Laboratory in 1984/5 is detailed in the Appendix to the Daresbury Annual Report. The Theory, Computational Science and Applications Groups, provide support work for the experimental projects conducted at Daresbury. Use of the FPS-164 processor is also described. (U.K.)

Family experiences, the motivation for science learning and science ...

African Journals Online (AJOL)

Family experiences, the motivation for science learning and science achievement of ... active learning and achievement goals); boys perceived family experiences ... Recommendations were made as to how schools can support families in ...

Development and Evaluation of Computer-Based Laboratory Practical Learning Tool

Science.gov (United States)

Gandole, Y. B.

2006-01-01

Effective evaluation of educational software is a key issue for successful introduction of advanced tools in the curriculum. This paper details to developing and evaluating a tool for computer assisted learning of science laboratory courses. The process was based on the generic instructional system design model. Various categories of educational…

Advances in Computer Science and Information Engineering Volume 2

CERN Document Server

Lin, Sally

2012-01-01

CSIE2012 is an integrated conference concentrating its focus on Computer Science and Information Engineering . In the proceeding, you can learn much more knowledge about Computer Science and Information Engineering of researchers from all around the world. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned fields. In order to meet the high quality of Springer, AISC series, the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organizers had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful.

Advances in Computer Science and Information Engineering Volume 1

CERN Document Server

Lin, Sally

2012-01-01

CSIE2012 is an integrated conference concentrating its focus on Computer Science and Information Engineering . In the proceeding, you can learn much more knowledge about Computer Science and Information Engineering of researchers from all around the world. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned fields. In order to meet the high quality of Springer, AISC series, the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organizers had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful.

Computer science a concise introduction

CERN Document Server

Sinclair, Ian

2014-01-01

Computer Science: A Concise Introduction covers the fundamentals of computer science. The book describes micro-, mini-, and mainframe computers and their uses; the ranges and types of computers and peripherals currently available; applications to numerical computation; and commercial data processing and industrial control processes. The functions of data preparation, data control, computer operations, applications programming, systems analysis and design, database administration, and network control are also encompassed. The book then discusses batch, on-line, and real-time systems; the basic

Music Learning Based on Computer Software

Directory of Open Access Journals (Sweden)

Baihui Yan

2017-12-01

Full Text Available In order to better develop and improve students’ music learning, the authors proposed the method of music learning based on computer software. It is still a new field to use computer music software to assist teaching. Hereby, we conducted an in-depth analysis on the computer-enabled music learning and the music learning status in secondary schools, obtaining the specific analytical data. Survey data shows that students have many cognitive problems in the current music classroom, and yet teachers have not found a reasonable countermeasure to them. Against this background, the introduction of computer music software to music learning is a new trial that can not only cultivate the students’ initiatives of music learning, but also enhance their abilities to learn music. Therefore, it is concluded that the computer software based music learning is of great significance to improving the current music learning modes and means.

Teaching and Learning of Computational Modelling in Creative Shaping Processes

Directory of Open Access Journals (Sweden)

Daniela REIMANN

2017-10-01

Full Text Available Today, not only diverse design-related disciplines are required to actively deal with the digitization of information and its potentials and side effects for education processes. In Germany, technology didactics developed in vocational education and computer science education in general education, both separated from media pedagogy as an after-school program. Media education is not a subject in German schools yet. However, in the paper we argue for an interdisciplinary approach to learn about computational modeling in creative processes and aesthetic contexts. It crosses the borders of programming technology, arts and design processes in meaningful contexts. Educational scenarios using smart textile environments are introduced and reflected for project based learning.

Creating science simulations through Computational Thinking Patterns

Science.gov (United States)

Basawapatna, Ashok Ram

Computational thinking aims to outline fundamental skills from computer science that everyone should learn. As currently defined, with help from the National Science Foundation (NSF), these skills include problem formulation, logically organizing data, automating solutions through algorithmic thinking, and representing data through abstraction. One aim of the NSF is to integrate these and other computational thinking concepts into the classroom. End-user programming tools offer a unique opportunity to accomplish this goal. An end-user programming tool that allows students with little or no prior experience the ability to create simulations based on phenomena they see in-class could be a first step towards meeting most, if not all, of the above computational thinking goals. This thesis describes the creation, implementation and initial testing of a programming tool, called the Simulation Creation Toolkit, with which users apply high-level agent interactions called Computational Thinking Patterns (CTPs) to create simulations. Employing Computational Thinking Patterns obviates lower behavior-level programming and allows users to directly create agent interactions in a simulation by making an analogy with real world phenomena they are trying to represent. Data collected from 21 sixth grade students with no prior programming experience and 45 seventh grade students with minimal programming experience indicates that this is an effective first step towards enabling students to create simulations in the classroom environment. Furthermore, an analogical reasoning study that looked at how users might apply patterns to create simulations from high- level descriptions with little guidance shows promising results. These initial results indicate that the high level strategy employed by the Simulation Creation Toolkit is a promising strategy towards incorporating Computational Thinking concepts in the classroom environment.

Preparing Future Secondary Computer Science Educators

Science.gov (United States)

Ajwa, Iyad

2007-01-01

Although nearly every college offers a major in computer science, many computer science teachers at the secondary level have received little formal training. This paper presents details of a project that could make a significant contribution to national efforts to improve computer science education by combining teacher education and professional…

Computer science teacher professional development in the United States: a review of studies published between 2004 and 2014

Science.gov (United States)

Menekse, Muhsin

2015-10-01

While there has been a remarkable interest to make computer science a core K-12 academic subject in the United States, there is a shortage of K-12 computer science teachers to successfully implement computer sciences courses in schools. In order to enhance computer science teacher capacity, training programs have been offered through teacher professional development. In this study, the main goal was to systematically review the studies regarding computer science professional development to understand the scope, context, and effectiveness of these programs in the past decade (2004-2014). Based on 21 journal articles and conference proceedings, this study explored: (1) Type of professional development organization and source of funding, (2) professional development structure and participants, (3) goal of professional development and type of evaluation used, (4) specific computer science concepts and training tools used, (5) and their effectiveness to improve teacher practice and student learning.

Computer Support for Knowledge Communication in Science Exhibitions: Novel Perspectives from Research on Collaborative Learning

Science.gov (United States)

Knipfer, Kristin; Mayr, Eva; Zahn, Carmen; Schwan, Stephan; Hesse, Friedrich W.

2009-01-01

In this article, the potentials of advanced technologies for learning in science exhibitions are outlined. For this purpose, we conceptualize science exhibitions as "dynamic information space for knowledge building" which includes three pathways of knowledge communication. This article centers on the second pathway, that is, knowledge…

Computational Investigations of Multiword Chunks in Language Learning.

Science.gov (United States)

McCauley, Stewart M; Christiansen, Morten H

2017-07-01

Second-language learners rarely arrive at native proficiency in a number of linguistic domains, including morphological and syntactic processing. Previous approaches to understanding the different outcomes of first- versus second-language learning have focused on cognitive and neural factors. In contrast, we explore the possibility that children and adults may rely on different linguistic units throughout the course of language learning, with specific focus on the granularity of those units. Following recent psycholinguistic evidence for the role of multiword chunks in online language processing, we explore the hypothesis that children rely more heavily on multiword units in language learning than do adults learning a second language. To this end, we take an initial step toward using large-scale, corpus-based computational modeling as a tool for exploring the granularity of speakers' linguistic units. Employing a computational model of language learning, the Chunk-Based Learner, we compare the usefulness of chunk-based knowledge in accounting for the speech of second-language learners versus children and adults speaking their first language. Our findings suggest that while multiword units are likely to play a role in second-language learning, adults may learn less useful chunks, rely on them to a lesser extent, and arrive at them through different means than children learning a first language. Copyright © 2017 Cognitive Science Society, Inc.

Perspectives on learning, learning to teach and teaching elementary science

Science.gov (United States)

Avraamidou, Lucy

The framework that characterizes this work is that of elementary teachers' learning and development. Specifically, the ways in which prospective and beginning teachers' develop pedagogical content knowledge for teaching science in light of current recommendations for reform emphasizing teaching and learning science as inquiry are explored. Within this theme, the focus is on three core areas: (a) the use of technology tools (i.e., web-based portfolios) in support of learning to teach science at the elementary level; (b) beginning teachers' specialized knowledge for giving priority to evidence in science teaching; and (c) the applications of perspectives associated with elementary teachers' learning to teach science in Cyprus, where I was born and raised. The first manuscript describes a study aimed at exploring the influence of web-based portfolios and a specific task in support of learning to teach science within the context of a Professional Development School program. The task required prospective teachers to articulate their personal philosophies about teaching and learning science in the form of claims, evidence and justifications in a web-based forum. The findings of this qualitative case study revealed the participants' developing understandings about learning and teaching science, which included emphasizing a student-centered approach, connecting physical engagement of children with conceptual aspects of learning, becoming attentive to what teachers can do to support children's learning, and focusing on teaching science as inquiry. The way the task was organized and the fact that the web-based forum provided the ability to keep multiple versions of their philosophies gave prospective teachers the advantage of examining how their philosophies were changing over time, which supported a continuous engagement in metacognition, self-reflection and self-evaluation. The purpose of the study reported in the second manuscript was to examine the nature of a first

Learning Science Through Visualization

Science.gov (United States)

Chaudhury, S. Raj

2005-01-01

In the context of an introductory physical science course for non-science majors, I have been trying to understand how scientific visualizations of natural phenomena can constructively impact student learning. I have also necessarily been concerned with the instructional and assessment approaches that need to be considered when focusing on learning science through visually rich information sources. The overall project can be broken down into three distinct segments : (i) comparing students' abilities to demonstrate proportional reasoning competency on visual and verbal tasks (ii) decoding and deconstructing visualizations of an object falling under gravity (iii) the role of directed instruction to elicit alternate, valid scientific visualizations of the structure of the solar system. Evidence of student learning was collected in multiple forms for this project - quantitative analysis of student performance on written, graded assessments (tests and quizzes); qualitative analysis of videos of student 'think aloud' sessions. The results indicate that there are significant barriers for non-science majors to succeed in mastering the content of science courses, but with informed approaches to instruction and assessment, these barriers can be overcome.

Profiles of Motivated Self-Regulation in College Computer Science Courses: Differences in Major versus Required Non-Major Courses

Science.gov (United States)

Shell, Duane F.; Soh, Leen-Kiat

2013-12-01

The goal of the present study was to utilize a profiling approach to understand differences in motivation and strategic self-regulation among post-secondary STEM students in major versus required non-major computer science courses. Participants were 233 students from required introductory computer science courses (194 men; 35 women; 4 unknown) at a large Midwestern state university. Cluster analysis identified five profiles: (1) a strategic profile of a highly motivated by-any-means good strategy user; (2) a knowledge-building profile of an intrinsically motivated autonomous, mastery-oriented student; (3) a surface learning profile of a utility motivated minimally engaged student; (4) an apathetic profile of an amotivational disengaged student; and (5) a learned helpless profile of a motivated but unable to effectively self-regulate student. Among CS majors and students in courses in their major field, the strategic and knowledge-building profiles were the most prevalent. Among non-CS majors and students in required non-major courses, the learned helpless, surface learning, and apathetic profiles were the most prevalent. Students in the strategic and knowledge-building profiles had significantly higher retention of computational thinking knowledge than students in other profiles. Students in the apathetic and surface learning profiles saw little instrumentality of the course for their future academic and career objectives. Findings show that students in STEM fields taking required computer science courses exhibit the same constellation of motivated strategic self-regulation profiles found in other post-secondary and K-12 settings.

Influence of Learning Strategy of Cognitive Conflict on Student Misconception in Computational Physics Course

Science.gov (United States)

Akmam, A.; Anshari, R.; Amir, H.; Jalinus, N.; Amran, A.

2018-04-01

Misconception is one of the factors causing students are not suitable in to choose a method for problem solving. Computational Physics course is a major subject in the Department of Physics FMIPA UNP Padang. The problem in Computational Physics learning lately is that students have difficulties in constructing knowledge. The indication of this problem was the student learning outcomes do not achieve mastery learning. The root of the problem is the ability of students to think critically weak. Student critical thinking can be improved using cognitive by conflict learning strategies. The research aims to determine the effect of cognitive conflict learning strategy to student misconception on the subject of Computational Physics Course at the Department of Physics, Faculty of Mathematics and Science, Universitas Negeri Padang. The experimental research design conducted after-before design cycles with a sample of 60 students by cluster random sampling. Data were analyzed using repeated Anova measurements. The cognitive conflict learning strategy has a significant effect on student misconception in the subject of Computational Physics Course.

Computer Science and the Liberal Arts

Science.gov (United States)

Shannon, Christine

2010-01-01

Computer science and the liberal arts have much to offer each other. Yet liberal arts colleges, in particular, have been slow to recognize the opportunity that the study of computer science provides for achieving the goals of a liberal education. After the precipitous drop in computer science enrollments during the first decade of this century,…

Inventory of Innovative Learning Materials in Marine Science and Technology. UNESCO Reports in Marine Science 60.

Science.gov (United States)

Richards, Adrian F.; Richards, Efrosine A.

The Inventory of Innovative Learning Materials in Marine Science and Technology includes 32 computer-, 148 video-, 16 film-, and 11 CD-ROM-based entries. They concern materials in biosciences (67), chemistry (5), geosciences (16), physics (23), technology (76) and other (20). This first, initial compilations is conceived as the basis for more…

Contemporary machine learning: techniques for practitioners in the physical sciences

Science.gov (United States)

Spears, Brian

2017-10-01

Machine learning is the science of using computers to find relationships in data without explicitly knowing or programming those relationships in advance. Often without realizing it, we employ machine learning every day as we use our phones or drive our cars. Over the last few years, machine learning has found increasingly broad application in the physical sciences. This most often involves building a model relationship between a dependent, measurable output and an associated set of controllable, but complicated, independent inputs. The methods are applicable both to experimental observations and to databases of simulated output from large, detailed numerical simulations. In this tutorial, we will present an overview of current tools and techniques in machine learning - a jumping-off point for researchers interested in using machine learning to advance their work. We will discuss supervised learning techniques for modeling complicated functions, beginning with familiar regression schemes, then advancing to more sophisticated decision trees, modern neural networks, and deep learning methods. Next, we will cover unsupervised learning and techniques for reducing the dimensionality of input spaces and for clustering data. We'll show example applications from both magnetic and inertial confinement fusion. Along the way, we will describe methods for practitioners to help ensure that their models generalize from their training data to as-yet-unseen test data. We will finally point out some limitations to modern machine learning and speculate on some ways that practitioners from the physical sciences may be particularly suited to help. This work was performed by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

Problem Solving Model for Science Learning

Science.gov (United States)

Alberida, H.; Lufri; Festiyed; Barlian, E.

2018-04-01

This research aims to develop problem solving model for science learning in junior high school. The learning model was developed using the ADDIE model. An analysis phase includes curriculum analysis, analysis of students of SMP Kota Padang, analysis of SMP science teachers, learning analysis, as well as the literature review. The design phase includes product planning a science-learning problem-solving model, which consists of syntax, reaction principle, social system, support system, instructional impact and support. Implementation of problem-solving model in science learning to improve students' science process skills. The development stage consists of three steps: a) designing a prototype, b) performing a formative evaluation and c) a prototype revision. Implementation stage is done through a limited trial. A limited trial was conducted on 24 and 26 August 2015 in Class VII 2 SMPN 12 Padang. The evaluation phase was conducted in the form of experiments at SMPN 1 Padang, SMPN 12 Padang and SMP National Padang. Based on the development research done, the syntax model problem solving for science learning at junior high school consists of the introduction, observation, initial problems, data collection, data organization, data analysis/generalization, and communicating.

Crystal growth and computational materials science

International Nuclear Information System (INIS)

Jayakumar, S.; Ravindran, P.; Arun Kumar, R.; Sudarshan, C.

2012-01-01

The proceedings of the international conference on advanced materials discusses the advances being made in the area of single crystals, their preparation and device development from these crystals and details of the progress that is taking place in the computational field relating to materials science. Computational materials science makes use of advanced simulation tools and computer interfaces to develop a virtual platform which can provide a model for real-time experiments. This book includes selected papers in topics of crystal growth and computational materials science. We are confident that the new concepts and results presented will stimulate and enhance progress of research on crystal growth and computational materials science. Papers relevant to INIS are indexed separately

Teaching and Learning in the Mixed-Reality Science Classroom

Science.gov (United States)

Tolentino, Lisa; Birchfield, David; Megowan-Romanowicz, Colleen; Johnson-Glenberg, Mina C.; Kelliher, Aisling; Martinez, Christopher

2009-12-01

As emerging technologies become increasingly inexpensive and robust, there is an exciting opportunity to move beyond general purpose computing platforms to realize a new generation of K-12 technology-based learning environments. Mixed-reality technologies integrate real world components with interactive digital media to offer new potential to combine best practices in traditional science learning with the powerful affordances of audio/visual simulations. This paper introduces the realization of a learning environment called SMALLab, the Situated Multimedia Arts Learning Laboratory. We present a recent teaching experiment for high school chemistry students. A mix of qualitative and quantitative research documents the efficacy of this approach for students and teachers. We conclude that mixed-reality learning is viable in mainstream high school classrooms and that students can achieve significant learning gains when this technology is co-designed with educators.

ONLINE SCIENCE LEARNING:Best Practices and Technologies

OpenAIRE

TOJDE

2009-01-01

This essential publication is for all research and academic libraries, especially those institutions with online and distance education courses available in their science education programs. This book will also benefit audiences within the science education community of practice and others interested in STEM education, virtual schools, e-learning, m-learning, natural sciences, physical sciences, biological sciences, geosciences, online learning models, virtual laboratories, virtual field trip...

Quantum computer science

CERN Document Server

Lanzagorta, Marco

2009-01-01

In this text we present a technical overview of the emerging field of quantum computation along with new research results by the authors. What distinguishes our presentation from that of others is our focus on the relationship between quantum computation and computer science. Specifically, our emphasis is on the computational model of quantum computing rather than on the engineering issues associated with its physical implementation. We adopt this approach for the same reason that a book on computer programming doesn't cover the theory and physical realization of semiconductors. Another distin

Tri-P-LETS: Changing the Face of High School Computer Science

Science.gov (United States)

Sherrell, Linda; Malasri, Kriangsiri; Mills, David; Thomas, Allen; Greer, James

2012-01-01

From 2004-2007, the University of Memphis carried out the NSF-funded Tri-P-LETS (Three P Learning Environment for Teachers and Students) project to improve local high-school computer science curricula. The project reached a total of 58 classrooms in eleven high schools emphasizing problem solving skills, programming concepts as opposed to syntax,…

Advanced in Computer Science and its Applications

CERN Document Server

Yen, Neil; Park, James; CSA 2013

2014-01-01

The theme of CSA is focused on the various aspects of computer science and its applications for advances in computer science and its applications and provides an opportunity for academic and industry professionals to discuss the latest issues and progress in the area of computer science and its applications. Therefore this book will be include the various theories and practical applications in computer science and its applications.

Computer and information science

CERN Document Server

2016-01-01

This edited book presents scientific results of the 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016) which was held on June 26– 29 in Okayama, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rigorous rounds of review. This publication captures 12 of the conference’s most promising...

Computing, Environment and Life Sciences | Argonne National Laboratory

Science.gov (United States)

Computing, Environment and Life Sciences Research Divisions BIOBiosciences CPSComputational Science DSLData Argonne Leadership Computing Facility Biosciences Division Environmental Science Division Mathematics and Computer Science Division Facilities and Institutes Argonne Leadership Computing Facility News Events About

Computing handbook computer science and software engineering

CERN Document Server

Gonzalez, Teofilo; Tucker, Allen

2014-01-01

Overview of Computer Science Structure and Organization of Computing Peter J. DenningComputational Thinking Valerie BarrAlgorithms and Complexity Data Structures Mark WeissBasic Techniques for Design and Analysis of Algorithms Edward ReingoldGraph and Network Algorithms Samir Khuller and Balaji RaghavachariComputational Geometry Marc van KreveldComplexity Theory Eric Allender, Michael Loui, and Kenneth ReganFormal Models and Computability Tao Jiang, Ming Li, and Bala

It's not maths; it's science: exploring thinking dispositions, learning thresholds and mindfulness in science learning

Science.gov (United States)

Quinnell, R.; Thompson, R.; LeBard, R. J.

2013-09-01

Developing quantitative skills, or being academically numerate, is part of the curriculum agenda in science teaching and learning. For many of our students, being asked to 'do maths' as part of 'doing science' leads to disengagement from learning. Notions of 'I can't do maths' speak of a rigidity of mind, a 'standoff', forming a barrier to learning in science that needs to be addressed if we, as science educators, are to offer solutions to the so-called 'maths problem' and to support students as they move from being novice to expert. Moving from novice to expert is complex and we lean on several theoretical frameworks (thinking dispositions, threshold concepts and mindfulness in learning) to characterize this pathway in science, with a focus on quantitative skills. Fluid thinking and application of numeracy skills are required to manipulate experimental data sets and are integral to our science practice; we need to stop students from seeing them as optional 'maths' or 'statistics' tasks within our discipline. Being explicit about the ways those in the discipline think, how quantitative data is processed, and allowing places for students to address their skills (including their confidence) offer some ways forward.

Learning environments matter: Identifying influences on the motivation to learn science

Directory of Open Access Journals (Sweden)

Salomé Schulze

2015-05-01

Full Text Available In the light of the poor academic achievement in science by secondary school students in South Africa, students' motivation for science learning should be enhanced. It is argued that this can only be achieved with insight into which motivational factors to target, with due consideration of the diversity in schools. The study therefore explored the impact of six motivational factors for science learning in a sample of 380 Grade Nine boys and girls from three racial groups, in both public and independent schools. The students completed the Student Motivation for Science Learning questionnaire. Significant differences were identified between different groups and school types. The study is important for identifying the key role of achievement goals, science learning values and science self-efficacies. The main finding emphasises the significant role played by science teachers in motivating students for science in terms of the learning environments that they create. This has important implications for future research, aimed at a better understanding of these environments. Such insights are needed to promote scientific literacy among the school students, and so contribute to the improvement of science achievement in South Africa.

The Use of Online Citizen-Science Projects to Provide Experiential Learning Opportunities for Nonmajor Science Students

Directory of Open Access Journals (Sweden)

Donna M. Kridelbaugh

2015-11-01

Full Text Available Citizen science is becoming even more accessible to the general public through technological advances in the development of mobile applications, facilitating information dissemination and data collection. With the advent of “big data,” many citizen-science projects designed to help researchers sift through piles of research data now exist entirely online, either in the form of playing a game or via other digital avenues. Recent trends in citizen science have also focused on “crowdsourcing” solutions from the general public to help solve societal issues, often requiring nothing more than brainstorming and a computer to submit ideas. Online citizen science thus provides an excellent platform to expand the accessibility of experiential learning opportunities for a broad range of nonmajor science students at institutions with limited resources (e.g., community colleges. I created an activity for a general microbiology lecture to engage students in hands-on experiences via participation in online citizen-science projects. The objectives of the assignment were for students to: 1 understand that everyone can be a scientist; 2 learn to be creative and innovative in designing solutions to health and science challenges; and 3 further practice science communication skills with a written report. This activity is designed for introductory science courses with nonmajor science students who have limited opportunities to participate in undergraduate research experiences.

Computational Science at the Argonne Leadership Computing Facility

Science.gov (United States)

Romero, Nichols

2014-03-01

The goal of the Argonne Leadership Computing Facility (ALCF) is to extend the frontiers of science by solving problems that require innovative approaches and the largest-scale computing systems. ALCF's most powerful computer - Mira, an IBM Blue Gene/Q system - has nearly one million cores. How does one program such systems? What software tools are available? Which scientific and engineering applications are able to utilize such levels of parallelism? This talk will address these questions and describe a sampling of projects that are using ALCF systems in their research, including ones in nanoscience, materials science, and chemistry. Finally, the ways to gain access to ALCF resources will be presented. This research used resources of the Argonne Leadership Computing Facility at Argonne National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under contract DE-AC02-06CH11357.

Computer Technology-Integrated Projects Should Not Supplant Craft Projects in Science Education

Science.gov (United States)

Klopp, Tabatha J.; Rule, Audrey C.; Schneider, Jean Suchsland; Boody, Robert M.

2014-01-01

The current emphasis on computer technology integration and narrowing of the curriculum has displaced arts and crafts. However, the hands-on, concrete nature of craft work in science modeling enables students to understand difficult concepts and to be engaged and motivated while learning spatial, logical, and sequential thinking skills. Analogy…

Enabling Earth Science Through Cloud Computing

Science.gov (United States)

Hardman, Sean; Riofrio, Andres; Shams, Khawaja; Freeborn, Dana; Springer, Paul; Chafin, Brian

2012-01-01

Cloud Computing holds tremendous potential for missions across the National Aeronautics and Space Administration. Several flight missions are already benefiting from an investment in cloud computing for mission critical pipelines and services through faster processing time, higher availability, and drastically lower costs available on cloud systems. However, these processes do not currently extend to general scientific algorithms relevant to earth science missions. The members of the Airborne Cloud Computing Environment task at the Jet Propulsion Laboratory have worked closely with the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) mission to integrate cloud computing into their science data processing pipeline. This paper details the efforts involved in deploying a science data system for the CARVE mission, evaluating and integrating cloud computing solutions with the system and porting their science algorithms for execution in a cloud environment.

A Cross-Cultural Study of the Effect of a Graph-Oriented Computer-Assisted Project-Based Learning Environment on Middle School Students' Science Knowledge and Argumentation Skills

Science.gov (United States)

Hsu, P.-S.; Van Dyke, M.; Chen, Y.; Smith, T. J.

2016-01-01

The purpose of this mixed-methods study was to explore how seventh graders in a suburban school in the United States and sixth graders in an urban school in Taiwan developed argumentation skills and science knowledge in a project-based learning environment that incorporated a graph-oriented, computer-assisted application (GOCAA). A total of 42…

Breaking the Boundaries: Academic Applications of Multidisciplinary Research in Computer Science and Dentistry

Directory of Open Access Journals (Sweden)

Patricia Witt

2016-12-01

Full Text Available Undergrad students are trained on a specific set of skills matching their corresponding careers, as modern sciences trend to specialization; however, it has promoted the creation of a virtual boundary among different professions. In this regard, state-of-the-art dental research involves the application of ever-increasing complex computational solutions; thus, requiring of multidisciplinary research teams. Multidisciplinarity is often achieved on a higher research context (e.g., postgrad; but involves a high degree of difficulty for both factions. The aim of this work is to present a novel application of multidisciplinary research to the learning process of undergrad students in computer sciences and dentistry careers. In order to do so, we leveraged previous research on computational intelligence and image processing techniques applied to dental diagnosis, and integrated it with the clinical assessment and software engineering subjects on dental and computer engineering careers correspondently. With this, we explored the possibility to enhance diagnosis skills of dental students, while improving the software engineering skills of computer sciences students; furthermore, we intended to introduce the concepts of applied computational intelligence, multidisciplinarity, and collaboration on both sides.

When Life and Learning Do Not Fit: Challenges of Workload and Communication in Introductory Computer Science Online

Science.gov (United States)

Benda, Klara; Bruckman, Amy; Guzdial, Mark

2012-01-01

We present the results of an interview study investigating student experiences in two online introductory computer science courses. Our theoretical approach is situated at the intersection of two research traditions: "distance and adult education research," which tends to be sociologically oriented, and "computer science education…

Introduction Of Computational Materials Science

International Nuclear Information System (INIS)

Lee, Jun Geun

2006-08-01

This book gives, descriptions of computer simulation, computational materials science, typical three ways of computational materials science, empirical methods ; molecular dynamics such as potential energy, Newton's equation of motion, data production and analysis of results, quantum mechanical methods like wave equation, approximation, Hartree method, and density functional theory, dealing of solid such as pseudopotential method, tight-binding methods embedded atom method, Car-Parrinello method and combination simulation.

Learning to Teach Computer Science: Qualitative Insights into Secondary Teachers' Pedagogical Content Knowledge

Science.gov (United States)

Hubbard, Aleata Kimberly

2017-01-01

In this dissertation, I explored the pedagogical content knowledge of in-service high school educators recently assigned to teach computer science for the first time. Teachers were participating in a professional development program where they co-taught introductory computing classes with tech industry professionals. The study was motivated by…

Improving the Teaching of Teamwork Skills in Engineering and Computer Science

Directory of Open Access Journals (Sweden)

Robert W. Lingard

2010-12-01

Full Text Available It is important that engineering and computer science students learn teamwork skills as an integral part of their educational development. These skills are often not explicitly taught, but rather it is expected that students learn them on their own through participation in various team projects. Furthermore, the actual skills that students are expected to learn are usually not well articulated, or even understood. The approach outlined here attempts to address these problems by first establishing a process for defining what is meant by teamwork, by using this definition to assess the extent to which students are learning teamwork skills, and by using the assessment results to formulate approaches to improve student learning with respect to these skills. Specific attempts at the definition, assessment, and instruction improvement process are discussed.

Science Integrating Learning Objectives: A Cooperative Learning Group Process

Science.gov (United States)

Spindler, Matt

2015-01-01

The integration of agricultural and science curricular content that capitalizes on natural and inherent connections represents a challenge for secondary agricultural educators. The purpose of this case study was to create information about the employment of Cooperative Learning Groups (CLG) to enhance the science integrating learning objectives…

Designing for Deeper Learning in a Blended Computer Science Course for Middle School Students

Science.gov (United States)

Grover, Shuchi; Pea, Roy; Cooper, Stephen

2015-01-01

The focus of this research was to create and test an introductory computer science course for middle school. Titled "Foundations for Advancing Computational Thinking" (FACT), the course aims to prepare and motivate middle school learners for future engagement with algorithmic problem solving. FACT was also piloted as a seven-week course…

Debunking the Computer Science Digital Library: Lessons Learned in Collection Development at Seneca College of Applied Arts & Technology

Science.gov (United States)

Buczynski, James Andrew

2005-01-01

Developing a library collection to support the curriculum of Canada's largest computer studies school has debunked many myths about collecting computer science and technology information resources. Computer science students are among the heaviest print book and e-book users in the library. Circulation statistics indicate that the demand for print…

Gender differences in an elementary school learning environment: A study on how girls learn science in collaborative learning groups

Science.gov (United States)

Greenspan, Yvette Frank

Girls are marked by low self-confidence manifested through gender discrimination during the early years of socialization and culturalization (AAUW, 1998). The nature of gender bias affects all girls in their studies of science and mathematics, particularly in minority groups, during their school years. It has been found that girls generally do not aspire in either mathematical or science-oriented careers because of such issues as overt and subtle stereotyping, inadequate confidence in ability, and discouragement in scientific competence. Grounded on constructivism, a theoretical framework, this inquiry employs fourth generation evaluation, a twelve-step evaluative process (Guba & Lincoln, 1989). The focus is to discover through qualitative research how fifth grade girls learn science in a co-sexual collaborative learning group, as they engage in hands-on, minds-on experiments. The emphasis is centered on one Hispanic girl in an effort to understand her beliefs, attitudes, and behavior as she becomes a stakeholder with other members of her six person collaborative learning group. The intent is to determine if cultural and social factors impact the learning of scientific concepts based on observations from videotapes, interviews, and student opinion questionnaires. QSR NUD*IST 4, a computer software program is utilized to help categorize and index data. Among the findings, there is evidence that clearly indicates girls' attitudes toward science are altered as they interact with other girls and boys in a collaborative learning group. Observations also indicate that cultural and social factors affect girls' performance as they explore and discover scientific concepts with other girls and boys. Based upon what I have uncovered utilizing qualitative research and confirmed according to current literature, there seems to be an appreciable impact on the way girls appear to learn science. Rooted in the data, the results mirror the conclusions of previous studies, which

Family experiences, the motivation for science learning and science ...

African Journals Online (AJOL)

Schulze, Salome

Student Motivation for Science Learning questionnaire combined with items investigating family experiences. ... science achievement: inadequate school resources and weak household ..... informal interviews with the science teachers of the.

The NASA computer science research program plan

Science.gov (United States)

1983-01-01

A taxonomy of computer science is included, one state of the art of each of the major computer science categories is summarized. A functional breakdown of NASA programs under Aeronautics R and D, space R and T, and institutional support is also included. These areas were assessed against the computer science categories. Concurrent processing, highly reliable computing, and information management are identified.

Music Learning Based on Computer Software

OpenAIRE

Baihui Yan; Qiao Zhou

2017-01-01

In order to better develop and improve students’ music learning, the authors proposed the method of music learning based on computer software. It is still a new field to use computer music software to assist teaching. Hereby, we conducted an in-depth analysis on the computer-enabled music learning and the music learning status in secondary schools, obtaining the specific analytical data. Survey data shows that students have many cognitive problems in the current music classroom, and yet teach...

Proceedings of the 6th Computer Science On-line Conference 2017

CERN Document Server

Senkerik, Roman; Oplatkova, Zuzana; Prokopova, Zdenka; Silhavy, Petr

2017-01-01

This book presents new methods and approaches to real-world problems as well as exploratory research that describes novel artificial intelligence applications, including deep learning, neural networks and hybrid algorithms. This book constitutes the refereed proceedings of the Artificial Intelligence Trends in Intelligent Systems Section of the 6th Computer Science On-line Conference 2017 (CSOC 2017), held in April 2017. .

Effects of a Teacher Professional Development Program on Science Teachers' Views about Using Computers in Teaching and Learning

Science.gov (United States)

Çetin, Nagihan Imer

2016-01-01

The purpose of this study was to examine science teachers' level of using computers in teaching and the impact of a teacher professional development program (TPDP) on their views regarding utilizing computers in science education. Forty-three in-service science teachers from different regions of Turkey attended a 5 day TPDP. The TPDP was…

Advances in Cross-Cutting Ideas for Computational Climate Science

Energy Technology Data Exchange (ETDEWEB)

Ng, Esmond [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Evans, Katherine J. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Caldwell, Peter [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Hoffman, Forrest M. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Jackson, Charles [Univ. of Texas, Austin, TX (United States); Kerstin, Van Dam [Brookhaven National Lab. (BNL), Upton, NY (United States); Leung, Ruby [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Martin, Daniel F. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Ostrouchov, George [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Tuminaro, Raymond [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Ullrich, Paul [Univ. of California, Davis, CA (United States); Wild, S. [Argonne National Lab. (ANL), Argonne, IL (United States); Williams, Samuel [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2017-01-01

This report presents results from the DOE-sponsored workshop titled, ``Advancing X-Cutting Ideas for Computational Climate Science Workshop,'' known as AXICCS, held on September 12--13, 2016 in Rockville, MD. The workshop brought together experts in climate science, computational climate science, computer science, and mathematics to discuss interesting but unsolved science questions regarding climate modeling and simulation, promoted collaboration among the diverse scientists in attendance, and brainstormed about possible tools and capabilities that could be developed to help address them. Emerged from discussions at the workshop were several research opportunities that the group felt could advance climate science significantly. These include (1) process-resolving models to provide insight into important processes and features of interest and inform the development of advanced physical parameterizations, (2) a community effort to develop and provide integrated model credibility, (3) including, organizing, and managing increasingly connected model components that increase model fidelity yet complexity, and (4) treating Earth system models as one interconnected organism without numerical or data based boundaries that limit interactions. The group also identified several cross-cutting advances in mathematics, computer science, and computational science that would be needed to enable one or more of these big ideas. It is critical to address the need for organized, verified, and optimized software, which enables the models to grow and continue to provide solutions in which the community can have confidence. Effectively utilizing the newest computer hardware enables simulation efficiency and the ability to handle output from increasingly complex and detailed models. This will be accomplished through hierarchical multiscale algorithms in tandem with new strategies for data handling, analysis, and storage. These big ideas and cross-cutting technologies for

Advances in Cross-Cutting Ideas for Computational Climate Science

Energy Technology Data Exchange (ETDEWEB)

Ng, E.; Evans, K.; Caldwell, P.; Hoffman, F.; Jackson, C.; Van Dam, K.; Leung, R.; Martin, D.; Ostrouchov, G.; Tuminaro, R.; Ullrich, P.; Wild, S.; Williams, S.

2017-01-01

This report presents results from the DOE-sponsored workshop titled, Advancing X-Cutting Ideas for Computational Climate Science Workshop,'' known as AXICCS, held on September 12--13, 2016 in Rockville, MD. The workshop brought together experts in climate science, computational climate science, computer science, and mathematics to discuss interesting but unsolved science questions regarding climate modeling and simulation, promoted collaboration among the diverse scientists in attendance, and brainstormed about possible tools and capabilities that could be developed to help address them. Emerged from discussions at the workshop were several research opportunities that the group felt could advance climate science significantly. These include (1) process-resolving models to provide insight into important processes and features of interest and inform the development of advanced physical parameterizations, (2) a community effort to develop and provide integrated model credibility, (3) including, organizing, and managing increasingly connected model components that increase model fidelity yet complexity, and (4) treating Earth system models as one interconnected organism without numerical or data based boundaries that limit interactions. The group also identified several cross-cutting advances in mathematics, computer science, and computational science that would be needed to enable one or more of these big ideas. It is critical to address the need for organized, verified, and optimized software, which enables the models to grow and continue to provide solutions in which the community can have confidence. Effectively utilizing the newest computer hardware enables simulation efficiency and the ability to handle output from increasingly complex and detailed models. This will be accomplished through hierarchical multiscale algorithms in tandem with new strategies for data handling, analysis, and storage. These big ideas and cross-cutting technologies for enabling

The Effect of a Computer Program Designed with Constructivist Principles for College Non-Science Majors on Understanding of Photosynthesis and Cellular Respiration

Science.gov (United States)

Wielard, Valerie Michelle

2013-01-01

The primary objective of this project was to learn what effect a computer program would have on academic achievement and attitude toward science of college students enrolled in a biology class for non-science majors. It became apparent that the instructor also had an effect on attitudes toward science. The researcher designed a computer program,…

New Trends in E-Science: Machine Learning and Knowledge Discovery in Databases

Science.gov (United States)

Brescia, Massimo

2012-11-01

Data mining, or Knowledge Discovery in Databases (KDD), while being the main methodology to extract the scientific information contained in Massive Data Sets (MDS), needs to tackle crucial problems since it has to orchestrate complex challenges posed by transparent access to different computing environments, scalability of algorithms, reusability of resources. To achieve a leap forward for the progress of e-science in the data avalanche era, the community needs to implement an infrastructure capable of performing data access, processing and mining in a distributed but integrated context. The increasing complexity of modern technologies carried out a huge production of data, whose related warehouse management and the need to optimize analysis and mining procedures lead to a change in concept on modern science. Classical data exploration, based on local user own data storage and limited computing infrastructures, is no more efficient in the case of MDS, worldwide spread over inhomogeneous data centres and requiring teraflop processing power. In this context modern experimental and observational science requires a good understanding of computer science, network infrastructures, Data Mining, etc. i.e. of all those techniques which fall into the domain of the so called e-science (recently assessed also by the Fourth Paradigm of Science). Such understanding is almost completely absent in the older generations of scientists and this reflects in the inadequacy of most academic and research programs. A paradigm shift is needed: statistical pattern recognition, object oriented programming, distributed computing, parallel programming need to become an essential part of scientific background. A possible practical solution is to provide the research community with easy-to understand, easy-to-use tools, based on the Web 2.0 technologies and Machine Learning methodology. Tools where almost all the complexity is hidden to the final user, but which are still flexible and able to

Berkeley Lab Computing Sciences: Accelerating Scientific Discovery

International Nuclear Information System (INIS)

Hules, John A.

2008-01-01

Scientists today rely on advances in computer science, mathematics, and computational science, as well as large-scale computing and networking facilities, to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab's Computing Sciences organization researches, develops, and deploys new tools and technologies to meet these needs and to advance research in such areas as global climate change, combustion, fusion energy, nanotechnology, biology, and astrophysics

An Empirical Evaluation of Puzzle-Based Learning as an Interest Approach for Teaching Introductory Computer Science

Science.gov (United States)

Merrick, K. E.

2010-01-01

This correspondence describes an adaptation of puzzle-based learning to teaching an introductory computer programming course. Students from two offerings of the course--with and without the puzzle-based learning--were surveyed over a two-year period. Empirical results show that the synthesis of puzzle-based learning concepts with existing course…

Investigation the opinions of the primary science teachers toward practice of teaching and learning activities in science learning area

Science.gov (United States)

Chamnanwong, Pornpaka; Thathong, Kongsak

2018-01-01

In preparing a science lesson plan, teachers may deal with numerous difficulties. Having a deep understanding of their problems and their demands is extremely essential for the teachers in preparing themselves for the job. Moreover, it is also crucial for the stakeholders in planning suitable and in-need teachers' professional development programs, in school management, and in teaching aid. This study aimed to investigate the primary school science teachers' opinion toward practice of teaching and learning activities in science learning area. Target group was 292 primary science teachers who teach Grade 4 - 6 students in Khon Kaen Province, Thailand in the academic year of 2014. Data were collected using Questionnaire about Investigation the opinions of the primary science teachers toward practice of teaching and learning activities in science learning area. The questionnaires were consisted of closed questions scored on Likert scale and open-ended questions that invite a sentence response to cover from LS Process Ideas. Research findings were as follow. The primary science teachers' level of opinion toward teaching and learning science subject ranged from 3.19 - 3.93 (mean = 3.43) as "Moderate" level of practice. The primary school science teachers' needs to participate in a training workshop based on LS ranged from 3.66 - 4.22 (mean = 3.90) as "High" level. The result indicated that they were interested in attending a training course under the guidance of the Lesson Study by training on planning of management of science learning to solve teaching problems in science contents with the highest mean score 4.22. Open-ended questions questionnaire showed the needs of the implementation of the lesson plans to be actual classrooms, and supporting for learning Medias, innovations, and equipment for science experimentation.

The Science of Learning. 2nd Edition

Science.gov (United States)

Pear, Joseph J.

2016-01-01

For over a century and a quarter, the science of learning has expanded at an increasing rate and has achieved the status of a mature science. It has developed powerful methodologies and applications. The rise of this science has been so swift that other learning texts often overlook the fact that, like other mature sciences, the science of…

Advances in Computer Science, Engineering & Applications : Proceedings of the Second International Conference on Computer Science, Engineering & Applications

CERN Document Server

Zizka, Jan; Nagamalai, Dhinaharan

2012-01-01

The International conference series on Computer Science, Engineering & Applications (ICCSEA) aims to bring together researchers and practitioners from academia and industry to focus on understanding computer science, engineering and applications and to establish new collaborations in these areas. The Second International Conference on Computer Science, Engineering & Applications (ICCSEA-2012), held in Delhi, India, during May 25-27, 2012 attracted many local and international delegates, presenting a balanced mixture of  intellect and research both from the East and from the West. Upon a strenuous peer-review process the best submissions were selected leading to an exciting, rich and a high quality technical conference program, which featured high-impact presentations in the latest developments of various areas of computer science, engineering and applications research.

Advances in Computer Science, Engineering & Applications : Proceedings of the Second International Conference on Computer Science, Engineering & Applications

CERN Document Server

Zizka, Jan; Nagamalai, Dhinaharan

2012-01-01

The International conference series on Computer Science, Engineering & Applications (ICCSEA) aims to bring together researchers and practitioners from academia and industry to focus on understanding computer science, engineering and applications and to establish new collaborations in these areas. The Second International Conference on Computer Science, Engineering & Applications (ICCSEA-2012), held in Delhi, India, during May 25-27, 2012 attracted many local and international delegates, presenting a balanced mixture of  intellect and research both from the East and from the West. Upon a strenuous peer-review process the best submissions were selected leading to an exciting, rich and a high quality technical conference program, which featured high-impact presentations in the latest developments of various areas of computer science, engineering and applications research.  

Science of Learning Is Learning of Science: Why We Need a Dialectical Approach to Science Education Research

Science.gov (United States)

Roth, Wolff-Michael

2012-01-01

Research on learning science in informal settings and the formal (sometimes experimental) study of learning in classrooms or psychological laboratories tend to be separate domains, even drawing on different theories and methods. These differences make it difficult to compare knowing and learning observed in one paradigm/context with those observed…

Volunteer Computing for Science Gateways

OpenAIRE

Anderson, David

2017-01-01

This poster offers information about volunteer computing for science gateways that offer high-throughput computing services. Volunteer computing can be used to get computing power. This increases the visibility of the gateway to the general public as well as increasing computing capacity at little cost.

CREATIVE APPROACHES TO COMPUTER SCIENCE EDUCATION

Directory of Open Access Journals (Sweden)

V. B. Raspopov

2010-04-01

Full Text Available Using the example of PPS «Toolbox of multimedia lessons «For Children About Chopin» we demonstrate the possibility of involving creative students in developing the software packages for educational purposes. Similar projects can be assigned to school and college students studying computer sciences and informatics, and implemented under the teachers’ supervision, as advanced assignments or thesis projects as a part of a high school course IT or Computer Sciences, a college course of Applied Scientific Research, or as a part of preparation for students’ participation in the Computer Science competitions or IT- competitions of Youth Academy of Sciences ( MAN in Russian or in Ukrainian.

Exhibitions as learning environments: a review of empirical research on students’ science learning at Natural History Museums, Science Museums and Science Centres

Directory of Open Access Journals (Sweden)

Nils Petter Hauan

2014-04-01

Full Text Available One aim for many natural history museums, science museums and science centres is to contribute to school-related learning in science. In this article we review published empirical studies of this challenging area. The review indicates that the effectiveness of educational activities at different types of science-communication venues (SCV in supporting students’ science learning varies. There is also evidence of interesting differences between activities, depending on how these activities are designed. Firstly, these activities can stimulate interest and conceptual focus through a well-designed combination of structure and openness. Secondly, they can stimulate talks and explorations related to the presented topics. We have identified two possible areas which might prove fruitful in guiding further research: an exploration of the effects of different designs for guided exploratory learning, and an evaluation of the effectiveness of educational activities by studying the presence and quality of the learning processes visitors are engaged in. 

Advances in Computer Science and Engineering

CERN Document Server

Second International Conference on Advances in Computer Science and Engineering (CES 2012)

2012-01-01

This book includes the proceedings of the second International Conference on Advances in Computer Science and Engineering (CES 2012), which was held during January 13-14, 2012 in Sanya, China. The papers in these proceedings of CES 2012 focus on the researchers’ advanced works in their fields of Computer Science and Engineering mainly organized in four topics, (1) Software Engineering, (2) Intelligent Computing, (3) Computer Networks, and (4) Artificial Intelligence Software.

Student Engagement in a Computer Rich Science Classroom

Science.gov (United States)

Hunter, Jeffrey C.

The purpose of this study was to examine the student lived experience when using computers in a rural science classroom. The overarching question the project sought to examine was: How do rural students relate to computers as a learning tool in comparison to a traditional science classroom? Participant data were collected using a pre-study survey, Experience Sampling during class and post-study interviews. Students want to use computers in their classrooms. Students shared that they overwhelmingly (75%) preferred a computer rich classroom to a traditional classroom (25%). Students reported a higher level of engagement in classes that use technology/computers (83%) versus those that do not use computers (17%). A computer rich classroom increased student control and motivation as reflected by a participant who shared; "by using computers I was more motivated to get the work done" (Maggie, April 25, 2014, survey). The researcher explored a rural school environment. Rural populations represent a large number of students and appear to be underrepresented in current research. The participants, tenth grade Biology students, were sampled in a traditional teacher led class without computers for one week followed by a week using computers daily. Data supported that there is a new gap that separates students, a device divide. This divide separates those who have access to devices that are robust enough to do high level class work from those who do not. Although cellular phones have reduced the number of students who cannot access the Internet, they may have created a false feeling that access to a computer is no longer necessary at home. As this study shows, although most students have Internet access, fewer have access to a device that enables them to complete rigorous class work at home. Participants received little or no training at school in proper, safe use of a computer and the Internet. It is clear that the majorities of students are self-taught or receive guidance

Computer Science Research at Langley

Science.gov (United States)

Voigt, S. J. (Editor)

1982-01-01

A workshop was held at Langley Research Center, November 2-5, 1981, to highlight ongoing computer science research at Langley and to identify additional areas of research based upon the computer user requirements. A panel discussion was held in each of nine application areas, and these are summarized in the proceedings. Slides presented by the invited speakers are also included. A survey of scientific, business, data reduction, and microprocessor computer users helped identify areas of focus for the workshop. Several areas of computer science which are of most concern to the Langley computer users were identified during the workshop discussions. These include graphics, distributed processing, programmer support systems and tools, database management, and numerical methods.

Demystifying computer science for molecular ecologists.

Science.gov (United States)

Belcaid, Mahdi; Toonen, Robert J

2015-06-01

In this age of data-driven science and high-throughput biology, computational thinking is becoming an increasingly important skill for tackling both new and long-standing biological questions. However, despite its obvious importance and conspicuous integration into many areas of biology, computer science is still viewed as an obscure field that has, thus far, permeated into only a few of the biology curricula across the nation. A national survey has shown that lack of computational literacy in environmental sciences is the norm rather than the exception [Valle & Berdanier (2012) Bulletin of the Ecological Society of America, 93, 373-389]. In this article, we seek to introduce a few important concepts in computer science with the aim of providing a context-specific introduction aimed at research biologists. Our goal was to help biologists understand some of the most important mainstream computational concepts to better appreciate bioinformatics methods and trade-offs that are not obvious to the uninitiated. © 2015 John Wiley & Sons Ltd.

Pupil Science Learning in Resource-Based e-Learning Environments

Science.gov (United States)

So, Wing-mui Winnie; Ching, Ngai-ying Fiona

2011-01-01

With the rapid expansion of broadband Internet connection and availability of high performance yet low priced computers, many countries around the world are advocating the adoption of e-learning, the use of computer technology to improve learning and teaching. The trend of e-learning has urged many teachers to incorporate online resources in their…

Modelling the factors that influence computer science students' attitude towards serious games in class / Maria Jacomina Zeeman

OpenAIRE

Zeeman, Maria Jacomina

2014-01-01

Although the software development industry is one of the fastest growing sections in the labour market currently, computer science is one of the subject fields with the least growth in number of enrolments at tertiary institutions. Low enrolment figures and high dropout rates are common in computer science courses. Apart from the fact that programming is a difficult skill to master, irrelevant course material and out-dated teaching and learning strategies could be to blame for this phenomenon...

The novice and the expert: How gender and experience influence student participation, interest and learning in an Internet-based science project

Science.gov (United States)

Mistler-Jackson, Megan Elizabeth

The purpose of this study is to examine how gender issues influence middle school students' participation, interest and learning in an Internet-based science curriculum project. One central question is whether using the Internet for communication and collaboration might serve as an entree into science and computer technology for those who are otherwise disinterested. Five students and their teacher were observed for five weeks and interviewed at the end of their participation in the Journey North Internet-based science project. Other methods of data collection included field notes, journal writing, and document review. Data were analyzed using ethnographic and case study methodology. Results revealed that boys were viewed as science and computer experts by themselves and by their peers more often than girls, both when they were and were not more knowledgeable. Data also showed that the teacher's inexperience with computers and the Journey North project was a more significant factor in student learning than gender. Findings with two students support the notion that using the Internet for communication and collaboration may encourage participation in computer technology by students like them. These results add to literatures that document the gender gap in science and computing and complement research on the incorporation of the Internet in the classroom. This study examines participation and interest from students' points of view, confirms the central role teachers play in enacting network science projects effectively and identifies several challenges this teacher faced in learning to utilize new technologies.

Planning Computer-Aided Distance Learning

Directory of Open Access Journals (Sweden)

Nadja Dobnik

1996-12-01

Full Text Available Didactics of autonomous learning changes under the influence of new technologies. Computer technology can cover all the functions that a teacher develops in personal contact with the learner. People organizing distance learning must realize all the possibilities offered by computers. Computers can take over and also combine the functions of many tools and systems, e. g. type­ writer, video, telephone. This the contents can be offered in form of classic media by means of text, speech, picture, etc. Computers take over data pro­cessing and function as study materials. Computer included in a computer network can also function as a medium for interactive communication.

Development, Implementation, and Outcomes of an Equitable Computer Science After-School Program: Findings from Middle-School Students

Science.gov (United States)

Mouza, Chrystalla; Marzocchi, Alison; Pan, Yi-Cheng; Pollock, Lori

2016-01-01

Current policy efforts that seek to improve learning in science, technology, engineering, and mathematics (STEM) emphasize the importance of helping all students acquire concepts and tools from computer science that help them analyze and develop solutions to everyday problems. These goals have been generally described in the literature under the…

Cloud computing with e-science applications

CERN Document Server

Terzo, Olivier

2015-01-01

The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. Cloud Computing with e-Science Applications explains how cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science. The book begins with an overview of cloud models supplied by the National Institute of Standards and Technology (NIST), and then:Discusses the challenges imposed by big data on scientific

Girls Save the World through Computer Science

Science.gov (United States)

Murakami, Christine

2011-01-01

It's no secret that fewer and fewer women are entering computer science fields. Attracting high school girls to computer science is only part of the solution. Retaining them while they are in higher education or the workforce is also a challenge. To solve this, there is a need to show girls that computer science is a wide-open field that offers…

Change over a service learning experience in science undergraduates' beliefs expressed about elementary school students' ability to learn science

Science.gov (United States)

Goebel, Camille A.

This longitudinal investigation explores the change in four (3 female, 1 male) science undergraduates' beliefs expressed about low-income elementary school students' ability to learn science. The study sought to identify how the undergraduates in year-long public school science-teaching partnerships perceived the social, cultural, and economic factors affecting student learning. Previous service-learning research infrequently focused on science undergraduates relative to science and society or detailed expressions of their beliefs and field practices over the experience. Qualitative methodology was used to guide the implementation and analysis of this study. A sample of an additional 20 science undergraduates likewise involved in intensive reflection in the service learning in science teaching (SLST) course called Elementary Science Education Partners (ESEP) was used to examine the typicality of the case participants. The findings show two major changes in science undergraduates' belief expressions: (1) a reduction in statements of beliefs from a deficit thinking perspective about the elementary school students' ability to learn science, and (2) a shift in the attribution of students, underlying problems in science learning from individual-oriented to systemic-oriented influences. Additional findings reveal that the science undergraduates perceived they had personally and profoundly changed as a result of the SLST experience. Changes include: (1) the gain of a new understanding of others' situations different from their own; (2) the realization of and appreciation for their relative positions of privilege due to their educational background and family support; (3) the gain in ability to communicate, teach, and work with others; (4) the idea that they were more socially and culturally connected to their community outside the university and their college classrooms; and (5) a broadening of the way they understood or thought about science. Women participants stated

Computing as Empirical Science – Evolution of a Concept

Directory of Open Access Journals (Sweden)

Polak Paweł

2016-12-01

Full Text Available This article presents the evolution of philosophical and methodological considerations concerning empiricism in computer/computing science. In this study, we trace the most important current events in the history of reflection on computing. The forerunners of Artificial Intelligence H.A. Simon and A. Newell in their paper Computer Science As Empirical Inquiry (1975 started these considerations. Later the concept of empirical computer science was developed by S.S. Shapiro, P. Wegner, A.H. Eden and P.J. Denning. They showed various empirical aspects of computing. This led to a view of the science of computing (or science of information processing - the science of general scope. Some interesting contemporary ways towards a generalized perspective on computations were also shown (e.g. natural computing.

International Conference on Computer, Communication and Computational Sciences

CERN Document Server

Mishra, Krishn; Tiwari, Shailesh; Singh, Vivek

2017-01-01

Exchange of information and innovative ideas are necessary to accelerate the development of technology. With advent of technology, intelligent and soft computing techniques came into existence with a wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the ‘Advances in Computer and Computational Sciences’ from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of ‘International Conference on Computer, Communication and Computational Sciences (ICCCCS 2016), held during 12-13 August, 2016 in Ajmer, India. These papers are arranged in the form of chapters. The content of the book is divided into two volumes that cover variety of topics such as intelligent hardware and software design, advanced communications, power and energy optimization, intelligent techniques used in internet of things, intelligent image processing, advanced software engineering, evolutionary and ...

Methodical Approaches to Teaching of Computer Modeling in Computer Science Course

Science.gov (United States)

Rakhimzhanova, B. Lyazzat; Issabayeva, N. Darazha; Khakimova, Tiyshtik; Bolyskhanova, J. Madina

2015-01-01

The purpose of this study was to justify of the formation technique of representation of modeling methodology at computer science lessons. The necessity of studying computer modeling is that the current trends of strengthening of general education and worldview functions of computer science define the necessity of additional research of the…

minimUML: A Minimalist Approach to UML Diagramming for Early Computer Science Education

Science.gov (United States)

Turner, Scott A.; Perez-Quinones, Manuel A.; Edwards, Stephen H.

2005-01-01

In introductory computer science courses, the Unified Modeling Language (UML) is commonly used to teach basic object-oriented design. However, there appears to be a lack of suitable software to support this task. Many of the available programs that support UML focus on developing code and not on enhancing learning. Programs designed for…

5th Computer Science On-line Conference

CERN Document Server

Senkerik, Roman; Oplatkova, Zuzana; Silhavy, Petr; Prokopova, Zdenka

2016-01-01

This volume is based on the research papers presented in the 5th Computer Science On-line Conference. The volume Artificial Intelligence Perspectives in Intelligent Systems presents modern trends and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of artificial intelligence. New algorithms in a variety of fields are also presented. The Computer Science On-line Conference (CSOC 2016) is intended to provide an international forum for discussions on the latest research results in all areas related to Computer Science. The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering.

Learning Science through Computer Games and Simulations

Science.gov (United States)

Honey, Margaret A., Ed.; Hilton, Margaret, Ed.

2011-01-01

At a time when scientific and technological competence is vital to the nation's future, the weak performance of U.S. students in science reflects the uneven quality of current science education. Although young children come to school with innate curiosity and intuitive ideas about the world around them, science classes rarely tap this potential.…

Physical computation and cognitive science

CERN Document Server

Fresco, Nir

2014-01-01

This book presents a study of digital computation in contemporary cognitive science. Digital computation is a highly ambiguous concept, as there is no common core definition for it in cognitive science. Since this concept plays a central role in cognitive theory, an adequate cognitive explanation requires an explicit account of digital computation. More specifically, it requires an account of how digital computation is implemented in physical systems. The main challenge is to deliver an account encompassing the multiple types of existing models of computation without ending up in pancomputationalism, that is, the view that every physical system is a digital computing system. This book shows that only two accounts, among the ones examined by the author, are adequate for explaining physical computation. One of them is the instructional information processing account, which is developed here for the first time.   “This book provides a thorough and timely analysis of differing accounts of computation while adv...

Computational Science in Armenia (Invited Talk)

Science.gov (United States)

Marandjian, H.; Shoukourian, Yu.

This survey is devoted to the development of informatics and computer science in Armenia. The results in theoretical computer science (algebraic models, solutions to systems of general form recursive equations, the methods of coding theory, pattern recognition and image processing), constitute the theoretical basis for developing problem-solving-oriented environments. As examples can be mentioned: a synthesizer of optimized distributed recursive programs, software tools for cluster-oriented implementations of two-dimensional cellular automata, a grid-aware web interface with advanced service trading for linear algebra calculations. In the direction of solving scientific problems that require high-performance computing resources, examples of completed projects include the field of physics (parallel computing of complex quantum systems), astrophysics (Armenian virtual laboratory), biology (molecular dynamics study of human red blood cell membrane), meteorology (implementing and evaluating the Weather Research and Forecast Model for the territory of Armenia). The overview also notes that the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia has established a scientific and educational infrastructure, uniting computing clusters of scientific and educational institutions of the country and provides the scientific community with access to local and international computational resources, that is a strong support for computational science in Armenia.

Physics vs. computer science

International Nuclear Information System (INIS)

Pike, R.

1982-01-01

With computers becoming more frequently used in theoretical and experimental physics, physicists can no longer afford to be ignorant of the basic techniques and results of computer science. Computing principles belong in a physicist's tool box, along with experimental methods and applied mathematics, and the easiest way to educate physicists in computing is to provide, as part of the undergraduate curriculum, a computing course designed specifically for physicists. As well, the working physicist should interact with computer scientists, giving them challenging problems in return for their expertise. (orig.)

Third Workshop on Teaching Computational Science (WTCS 2009)

NARCIS (Netherlands)

Tirado-Ramos, A.; Shiflet, A.

2009-01-01

The Third Workshop on Teaching Computational Science, within the International Conference on Computational Science, provides a platform for discussing innovations in teaching computational sciences at all levels and contexts of higher education. This editorial provides an introduction to the work

Second Workshop on Teaching Computational Science WTCS 2008

NARCIS (Netherlands)

Tirado-Ramos, A.

2008-01-01

The Second Workshop on Teaching Computational Science, within the International Conference on Computational Science, provides a platform for discussing innovations in teaching computational sciences at all levels and contexts of higher education. This editorial provides an introduction to the work

Evaluating outcomes of computer-based classroom testing: Student acceptance and impact on learning and exam performance.

Science.gov (United States)

Zheng, Meixun; Bender, Daniel

2018-03-13

Computer-based testing (CBT) has made progress in health sciences education. In 2015, the authors led implementation of a CBT system (ExamSoft) at a dental school in the U.S. Guided by the Technology Acceptance Model (TAM), the purposes of this study were to (a) examine dental students' acceptance of ExamSoft; (b) understand factors impacting acceptance; and (c) evaluate the impact of ExamSoft on students' learning and exam performance. Survey and focus group data revealed that ExamSoft was well accepted by students as a testing tool and acknowledged by most for its potential to support learning. Regression analyses showed that perceived ease of use and perceived usefulness of ExamSoft significantly predicted student acceptance. Prior CBT experience and computer skills did not significantly predict acceptance of ExamSoft. Students reported that ExamSoft promoted learning in the first program year, primarily through timely and rich feedback on examination performance. t-Tests yielded mixed results on whether students performed better on computerized or paper examinations. The study contributes to the literature on CBT and the application of the TAM model in health sciences education. Findings also suggest ways in which health sciences institutions can implement CBT to maximize its potential as an assessment and learning tool.

Gender differences in the use of computers, programming, and peer interactions in computer science classrooms

Science.gov (United States)

Stoilescu, Dorian; Egodawatte, Gunawardena

2010-12-01

Research shows that female and male students in undergraduate computer science programs view computer culture differently. Female students are interested more in the use of computers than in doing programming, whereas male students see computer science mainly as a programming activity. The overall purpose of our research was not to find new definitions for computer science culture but to see how male and female students see themselves involved in computer science practices, how they see computer science as a successful career, and what they like and dislike about current computer science practices. The study took place in a mid-sized university in Ontario. Sixteen students and two instructors were interviewed to get their views. We found that male and female views are different on computer use, programming, and the pattern of student interactions. Female and male students did not have any major issues in using computers. In computing programming, female students were not so involved in computing activities whereas male students were heavily involved. As for the opinions about successful computer science professionals, both female and male students emphasized hard working, detailed oriented approaches, and enjoying playing with computers. The myth of the geek as a typical profile of successful computer science students was not found to be true.

Implementing an Affordable High-Performance Computing for Teaching-Oriented Computer Science Curriculum

Science.gov (United States)

Abuzaghleh, Omar; Goldschmidt, Kathleen; Elleithy, Yasser; Lee, Jeongkyu

2013-01-01

With the advances in computing power, high-performance computing (HPC) platforms have had an impact on not only scientific research in advanced organizations but also computer science curriculum in the educational community. For example, multicore programming and parallel systems are highly desired courses in the computer science major. However,…

A survey of computational physics introductory computational science

CERN Document Server

Landau, Rubin H; Bordeianu, Cristian C

2008-01-01

Computational physics is a rapidly growing subfield of computational science, in large part because computers can solve previously intractable problems or simulate natural processes that do not have analytic solutions. The next step beyond Landau's First Course in Scientific Computing and a follow-up to Landau and Páez's Computational Physics, this text presents a broad survey of key topics in computational physics for advanced undergraduates and beginning graduate students, including new discussions of visualization tools, wavelet analysis, molecular dynamics, and computational fluid dynamics

Computational Science: Ensuring America's Competitiveness

National Research Council Canada - National Science Library

Reed, Daniel A; Bajcsy, Ruzena; Fernandez, Manuel A; Griffiths, Jose-Marie; Mott, Randall D; Dongarra, J. J; Johnson, Chris R; Inouye, Alan S; Miner, William; Matzke, Martha K; Ponick, Terry L

2005-01-01

Computational science is now indispensable to the solution of complex problems in every sector, from traditional science and engineering domains to such key areas as national security, public health...

Original science-based music and student learning

Science.gov (United States)

Smolinski, Keith

American middle school student science scores have been stagnating for several years, demonstrating a need for better learning strategies to aid teachers in instruction and students in content learning. It has also been suggested by researchers that music can be used to aid students in their learning and memory. Employing the theoretical framework of brain-based learning, the purpose of this study was to examine the impact of original, science-based music on student content learning and student perceptions of the music and its impact on learning. Students in the treatment group at a public middle school learned songs with lyrics related to the content of a 4-week cells unit in science; whereas an equally sized control group was taught the same material using existing methods. The content retention and learning experiences of the students in this study were examined using a concurrent triangulation, mixed-methods study. Independent sample t test and ANOVA analyses were employed to determine that the science posttest scores of students in the treatment group (N = 93) were significantly higher than the posttest scores of students in the control group (N = 93), and that the relative gains of the boys in the treatment group exceeded those of the girls. The qualitative analysis of 10 individual interviews and 3 focus group interviews followed Patton's method of a priori coding, cross checking, and thematic analysis to examine the perceptions of the treatment group. These results confirmed that the majority of the students thought the music served as an effective learning tool and enhanced recall. This study promoted social change because students and teachers gained insight into how music can be used in science classrooms to aid in the learning of science content. Researchers could also utilize the findings for continued investigation of the interdisciplinary use of music in educational settings.

Learning style preferences of Australian health science students.

Science.gov (United States)

Zoghi, Maryam; Brown, Ted; Williams, Brett; Roller, Louis; Jaberzadeh, Shapour; Palermo, Claire; McKenna, Lisa; Wright, Caroline; Baird, Marilyn; Schneider-Kolsky, Michal; Hewitt, Lesley; Sim, Jenny; Holt, Tangerine-Ann

2010-01-01

It has been identified that health science student groups may have distinctive learning needs. By university educators' and professional fieldwork supervisors' being aware of the unique learning style preferences of health science students, they have the capacity to adjust their teaching approaches to best fit with their students' learning preferences. The purpose of this study was to investigate the learning style preferences of a group of Australian health science students enrolled in 10 different disciplines. The Kolb Learning Style Inventory was distributed to 2,885 students enrolled in dietetics and nutrition, midwifery, nursing, occupational therapy, paramedics, pharmacy, physiotherapy, radiation therapy, radiography, and social work at one Australian university. A total of 752 usable survey forms were returned (response rate 26%). The results indicated the converger learning style to be most frequently preferred by health science students and that the diverger and accommodator learning styles were the least preferred. It is recommended that educators take learning style preferences of health science students into consideration when planning, implementing, and evaluating teaching activities, such as including more problem-solving activities that fit within the converger learning style.

Interactive Multimodal Molecular Set – Designing Ludic Engaging Science Learning Content

DEFF Research Database (Denmark)

Thorsen, Tine Pinholt; Christiansen, Kasper Holm Bonde; Jakobsen Sillesen, Kristian

2014-01-01

This paper reports on an exploratory study investigating 10 primary school students’ interaction with an interactive multimodal molecular set fostering ludic engaging science learning content in primary schools (8th and 9th grade). The concept of the prototype design was to bridge the physical...... and virtual worlds with electronic tags and, through this, blend the familiarity of the computer and toys, to create a tool that provided a ludic approach to learning about atoms and molecules. The study was inspired by the participatory design and informant design methodologies and included design...

Soft computing in computer and information science

CERN Document Server

Fray, Imed; Pejaś, Jerzy

2015-01-01

This book presents a carefully selected and reviewed collection of papers presented during the 19th Advanced Computer Systems conference ACS-2014. The Advanced Computer Systems conference concentrated from its beginning on methods and algorithms of artificial intelligence. Further future brought new areas of interest concerning technical informatics related to soft computing and some more technological aspects of computer science such as multimedia and computer graphics, software engineering, web systems, information security and safety or project management. These topics are represented in the present book under the categories Artificial Intelligence, Design of Information and Multimedia Systems, Information Technology Security and Software Technologies.

Soft Computing Techniques in Vision Science

CERN Document Server

Yang, Yeon-Mo

2012-01-01

This Special Edited Volume is a unique approach towards Computational solution for the upcoming field of study called Vision Science. From a scientific firmament Optics, Ophthalmology, and Optical Science has surpassed an Odyssey of optimizing configurations of Optical systems, Surveillance Cameras and other Nano optical devices with the metaphor of Nano Science and Technology. Still these systems are falling short of its computational aspect to achieve the pinnacle of human vision system. In this edited volume much attention has been given to address the coupling issues Computational Science and Vision Studies.  It is a comprehensive collection of research works addressing various related areas of Vision Science like Visual Perception and Visual system, Cognitive Psychology, Neuroscience, Psychophysics and Ophthalmology, linguistic relativity, color vision etc. This issue carries some latest developments in the form of research articles and presentations. The volume is rich of contents with technical tools ...

Family experiences, the motivation for science learning and science ...

African Journals Online (AJOL)

Schulze, Salome

Student Motivation for Science Learning questionnaire combined with items investigating family experiences. The findings .... decisions and formulate behavioural goals for their ..... science achievement, making interpretation diffi- cult and ...

Teaching and Learning Science for Transformative, Aesthetic Experience

Science.gov (United States)

Girod, Mark; Twyman, Todd; Wojcikiewicz, Steve

2010-11-01

Drawing from the Deweyan theory of experience (1934, 1938), the goal of teaching and learning for transformative, aesthetic experience is contrasted against teaching and learning from a cognitive, rational framework. A quasi-experimental design was used to investigate teaching and learning of fifth grade science from each perspective across an entire school year including three major units of instruction. Detailed comparisons of teaching are given and pre and post measures of interest in learning science, science identity affiliation, and efficacy beliefs are investigated. Tests of conceptual understanding before, after, and one month after instruction reveal teaching for transformative, aesthetic experience fosters more, and more enduring, learning of science concepts. Investigations of transfer also suggest students learning for transformative, aesthetic experiences learn to see the world differently and find more interest and excitement in the world outside of school.

Science Song Project: Integration of Science, Technology and Music to Learn Science and Process Skills

Directory of Open Access Journals (Sweden)

Jiyoon Yoon

2017-07-01

Full Text Available It has been critical to find a way for teachers to motivate their young children to learn science and improve science achievement. Since music has been used as a tool for educating young students, this study introduces the science song project to teacher candidates that contains science facts, concepts, laws and theories, and combines them with music for motivating their young children to learn science and improve science achievement. The purpose of the study is to determine the effect of the science song project on teacher candidates’ understanding of science processing skills and their attitudes toward science. The participants were 45 science teacher candidates who were enrolled in an EC-6 (Early Childhood through Grade 6 program in the teacher certification program at a racially diverse Texas public research university. To collect data, this study used two instruments: pre-and post-self efficacy tests before and after the science teacher candidates experienced the science song project and final reflective essay at the end of the semester. The results show that while developing their songs, the participating teacher candidates experienced a process for science practice, understood science concepts and facts, and positively improved attitudes toward science. This study suggests that the science song project is a science instruction offering rich experiences of process-based learning and positive attitudes toward science.

Learning general phonological rules from distributional information: a computational model.

Science.gov (United States)

Calamaro, Shira; Jarosz, Gaja

2015-04-01

Phonological rules create alternations in the phonetic realizations of related words. These rules must be learned by infants in order to identify the phonological inventory, the morphological structure, and the lexicon of a language. Recent work proposes a computational model for the learning of one kind of phonological alternation, allophony (Peperkamp, Le Calvez, Nadal, & Dupoux, 2006). This paper extends the model to account for learning of a broader set of phonological alternations and the formalization of these alternations as general rules. In Experiment 1, we apply the original model to new data in Dutch and demonstrate its limitations in learning nonallophonic rules. In Experiment 2, we extend the model to allow it to learn general rules for alternations that apply to a class of segments. In Experiment 3, the model is further extended to allow for generalization by context; we argue that this generalization must be constrained by linguistic principles. Copyright © 2014 Cognitive Science Society, Inc.

ClimateNet: A Machine Learning dataset for Climate Science Research

Science.gov (United States)

Prabhat, M.; Biard, J.; Ganguly, S.; Ames, S.; Kashinath, K.; Kim, S. K.; Kahou, S.; Maharaj, T.; Beckham, C.; O'Brien, T. A.; Wehner, M. F.; Williams, D. N.; Kunkel, K.; Collins, W. D.

2017-12-01

Deep Learning techniques have revolutionized commercial applications in Computer vision, speech recognition and control systems. The key for all of these developments was the creation of a curated, labeled dataset ImageNet, for enabling multiple research groups around the world to develop methods, benchmark performance and compete with each other. The success of Deep Learning can be largely attributed to the broad availability of this dataset. Our empirical investigations have revealed that Deep Learning is similarly poised to benefit the task of pattern detection in climate science. Unfortunately, labeled datasets, a key pre-requisite for training, are hard to find. Individual research groups are typically interested in specialized weather patterns, making it hard to unify, and share datasets across groups and institutions. In this work, we are proposing ClimateNet: a labeled dataset that provides labeled instances of extreme weather patterns, as well as associated raw fields in model and observational output. We develop a schema in NetCDF to enumerate weather pattern classes/types, store bounding boxes, and pixel-masks. We are also working on a TensorFlow implementation to natively import such NetCDF datasets, and are providing a reference convolutional architecture for binary classification tasks. Our hope is that researchers in Climate Science, as well as ML/DL, will be able to use (and extend) ClimateNet to make rapid progress in the application of Deep Learning for Climate Science research.

Digital Da Vinci computers in the arts and sciences

CERN Document Server

Lee, Newton

2014-01-01

Explores polymathic education through unconventional and creative applications of computer science in the arts and sciences Examines the use of visual computation, 3d printing, social robotics and computer modeling for computational art creation and design Includes contributions from leading researchers and practitioners in computer science, architecture and digital media

Labour market expectation of Nigerian computer science ...

African Journals Online (AJOL)

... of Nigerian computer science / Information Communication Technology (ICT) graduates. ... It also x-rays the women performance in Computer Science. ... key players were analyzed using variables such as competence, creativity, innovation, ...

Research in computer science

Science.gov (United States)

Ortega, J. M.

1986-01-01

Various graduate research activities in the field of computer science are reported. Among the topics discussed are: (1) failure probabilities in multi-version software; (2) Gaussian Elimination on parallel computers; (3) three dimensional Poisson solvers on parallel/vector computers; (4) automated task decomposition for multiple robot arms; (5) multi-color incomplete cholesky conjugate gradient methods on the Cyber 205; and (6) parallel implementation of iterative methods for solving linear equations.

Simplify and Accelerate Earth Science Data Preparation to Systemize Machine Learning

Science.gov (United States)

Kuo, K. S.; Rilee, M. L.; Oloso, A.

2017-12-01

Data preparation is the most laborious and time-consuming part of machine learning. The effort required is usually more than linearly proportional to the varieties of data used. From a system science viewpoint, useful machine learning in Earth Science likely involves diverse datasets. Thus, simplifying data preparation to ease the systemization of machine learning in Earth Science is of immense value. The technologies we have developed and applied to an array database, SciDB, are explicitly designed for the purpose, including the innovative SpatioTemporal Adaptive-Resolution Encoding (STARE), a remapping tool suite, and an efficient implementation of connected component labeling (CCL). STARE serves as a universal Earth data representation that homogenizes data varieties and facilitates spatiotemporal data placement as well as alignment, to maximize query performance on massively parallel, distributed computing resources for a major class of analysis. Moreover, it converts spatiotemporal set operations into fast and efficient integer interval operations, supporting in turn moving-object analysis. Integrative analysis requires more than overlapping spatiotemporal sets. For example, meaningful comparison of temperature fields obtained with different means and resolutions requires their transformation to the same grid. Therefore, remapping has been implemented to enable integrative analysis. Finally, Earth Science investigations are generally studies of phenomena, e.g. tropical cyclone, atmospheric river, and blizzard, through their associated events, like hurricanes Katrina and Sandy. Unfortunately, except for a few high-impact phenomena, comprehensive episodic records are lacking. Consequently, we have implemented an efficient CCL tracking algorithm, enabling event-based investigations within climate data records beyond mere event presence. In summary, we have implemented the core unifying capabilities on a Big Data technology to enable systematic machine learning in

Home Culture, Science, School and Science Learning: Is Reconciliation Possible?

Science.gov (United States)

Tan, Aik-Ling

2011-01-01

In response to Meyer and Crawford's article on how nature of science and authentic science inquiry strategies can be used to support the learning of science for underrepresented students, I explore the possibly of reconciliation between the cultures of school, science, school science as well as home. Such reconciliation is only possible when…

Marrying Content and Process in Computer Science Education

Science.gov (United States)

Zendler, A.; Spannagel, C.; Klaudt, D.

2011-01-01

Constructivist approaches to computer science education emphasize that as well as knowledge, thinking skills and processes are involved in active knowledge construction. K-12 computer science curricula must not be based on fashions and trends, but on contents and processes that are observable in various domains of computer science, that can be…

Describing the on-line graduate science student: An examination of learning style, learning strategy, and motivation

Science.gov (United States)

Spevak, Arlene J.

Research in science education has presented investigations and findings related to the significance of particular learning variables. For example, the factors of learning style, learning strategy and motivational orientation have been shown to have considerable impact upon learning in a traditional classroom setting. Although these data have been somewhat generous for the face-to-face learning situation, this does not appear to be the case for distance education, particularly the Internet-based environment. The purpose of this study was to describe the on-line graduate science student, regarding the variables of learning style, learning strategy and motivational orientation. It was believed that by understanding the characteristics of adult science learners and by identifying their learning needs, Web course designers and science educators could create on-line learning programs that best utilized students' strengths in learning science. A case study method using a questionnaire, inventories, telephone interviews and documents was applied to nine graduate science students who participated for ten weeks in an asynchronous, exclusively Internet mediated graduate science course at a large, Northeastern university. Within-case and cross-case analysis indicated that these learners displayed several categories of learning styles as well as learning strategies. The students also demonstrated high levels of both intrinsic and extrinsic motivation, and this, together with varying strategy use, may have compensated for any mismatch between their preferred learning styles and their learning environment. Recommendations include replicating this study in other online graduate science courses, administration of learning style and learning strategy inventories to perspective online graduate science students, incorporation of synchronous communication into on-line science courses, and implementation of appropriate technology that supports visual and kinesthetic learners. Although

Theoretical Computer Science

DEFF Research Database (Denmark)

2002-01-01

The proceedings contains 8 papers from the Conference on Theoretical Computer Science. Topics discussed include: query by committee, linear separation and random walks; hardness results for neural network approximation problems; a geometric approach to leveraging weak learners; mind change...

Critical thinking traits of top-tier experts and implications for computer science education

Science.gov (United States)

Bushey, Dean E.

of this study suggest a need to examine how critical-thinking abilities are learned in the undergraduate computer science curriculum and the need to foster these abilities in order to produce the high-level, critical-thinking professionals necessary to fill the growing need for these experts. Due to the fact that current measures of academic performance do not adequately depict students' cognitive abilities, assessment of these skills must be incorporated into existing curricula.

From learning science to teaching science: What transfers?

Science.gov (United States)

Harlow, Danielle Boyd

As educational researchers and teacher educators, we have the responsibility to help teachers gain the skills and knowledge necessary to provide meaningful learning activities for their students. For elementary school science, this means helping teachers create situations in which children can participate in the practices associated with scientific inquiry. Through the framework of transfer I investigated how a professional development course based on an inquiry-based physics curriculum influenced five elementary teachers teaching practices and identified the factors that led to or hindered this transfer. In this study, evidence of transfer consisted of episodes where the teachers used the ideas learned in the physics course to solve new problems such as transforming activities to be appropriate for their students and responding to unexpected students' ideas. The findings of this study highlight the many different ways that teachers use what they learn in content courses to teach science to elementary children. While some teachers transferred pedagogical practices along with the content, others transformed the content to be useful in already existing pedagogical frameworks, and still others show little or no evidence of transfer. What the teachers transferred depended upon their existing teaching context as well as their prior ideas about teaching science and physics content. Specifically, the findings of this study suggest that the teachers transferred only what they sought from the course. One implication of this study is that the sort of science training we provide teachers can affect far more than just the teachers' conceptual understanding of science and performance on written conceptual exams. Science courses have the potential to impact the sort of science education that K-5 children receive in elementary classrooms in terms of the topics taught but the way that science is represented. An additional implication is that teaching science to teachers in ways

Learning Universal Computations with Spikes

Science.gov (United States)

Thalmeier, Dominik; Uhlmann, Marvin; Kappen, Hilbert J.; Memmesheimer, Raoul-Martin

2016-01-01

Providing the neurobiological basis of information processing in higher animals, spiking neural networks must be able to learn a variety of complicated computations, including the generation of appropriate, possibly delayed reactions to inputs and the self-sustained generation of complex activity patterns, e.g. for locomotion. Many such computations require previous building of intrinsic world models. Here we show how spiking neural networks may solve these different tasks. Firstly, we derive constraints under which classes of spiking neural networks lend themselves to substrates of powerful general purpose computing. The networks contain dendritic or synaptic nonlinearities and have a constrained connectivity. We then combine such networks with learning rules for outputs or recurrent connections. We show that this allows to learn even difficult benchmark tasks such as the self-sustained generation of desired low-dimensional chaotic dynamics or memory-dependent computations. Furthermore, we show how spiking networks can build models of external world systems and use the acquired knowledge to control them. PMID:27309381

CLIMANDES climate science e-learning course

Science.gov (United States)

Hunziker, Stefan; Giesche, Alena; Jacques-Coper, Martín; Brönnimann, Stefan

2016-04-01

Over the past three years, members of the Oeschger Centre for Climate Change Research (OCCR) and the Climatology group at the Institute of Geography at the University of Bern, have developed a new climate science e-learning course as part of the CLIMANDES project. This project is a collaboration between Peruvian and Swiss government, research, and education institutions. The aim of this e-learning material is to strengthen education in climate sciences at the higher education and professional level. The course was recently published in 2015 by Geographica Bernensia, and is hosted online by the Peruvian Servicio Nacional de Meteorología e Hidrología (SENAMHI): http://surmx.com/chamilo/climandes/e-learning/. The course is furthermore available for offline use through USB sticks, and a number of these are currently being distributed to regional training centers around the world by the WMO (World Meteorological Organization). There are eight individual modules of the course that each offer approximately 2 hours of individual learning material, featuring several additional learning activities, such as the online game "The Great Climate Poker" (http://www.climatepoker.unibe.ch/). Overall, over 50 hours of learning material are provided by this course. The modules can be integrated into university lectures, used as single units in workshops, or be combined to serve as a full course. This e-learning course presents a broad spectrum of topics in climate science, including an introduction to climatology, atmospheric and ocean circulation, climate forcings, climate observations and data, working with data products, and climate models. This e-learning course offers a novel approach to teaching climate science to students around the world, particularly through three important features. Firstly, the course is unique in its diverse range of learning strategies, which include individual reading material, video lectures, interactive graphics, responsive quizzes, as well as group

Citizen social science: a methodology to facilitate and evaluate workplace learning in continuing interprofessional education.

Science.gov (United States)

Dadich, Ann

2014-05-01

Workplace learning in continuing interprofessional education (CIPE) can be difficult to facilitate and evaluate, which can create a number of challenges for this type of learning. This article presents an innovative method to foster and investigate workplace learning in CIPE - citizen social science. Citizen social science involves clinicians as co-researchers in the systematic examination of social phenomena. When facilitated by an open-source online social networking platform, clinicians can participate via computer, smartphone, or tablet in ways that suit their needs and preferences. Furthermore, as co-researchers they can help to reveal the dynamic interplay that facilitates workplace learning in CIPE. Although yet to be tested, citizen social science offers four potential benefits: it recognises and accommodates the complexity of workplace learning in CIPE; it has the capacity to both foster and evaluate the phenomena; it can be used in situ, capturing and having direct relevance to the complexity of the workplace; and by advancing both theoretical and methodological debates on CIPE, it may reveal opportunities to improve and sustain workplace learning. By describing an example situated in the youth health sector, this article demonstrates how these benefits might be realised.

SIAM Conference on Computational Science and Engineering

Energy Technology Data Exchange (ETDEWEB)

None, None

2005-08-29

The Second SIAM Conference on Computational Science and Engineering was held in San Diego from February 10-12, 2003. Total conference attendance was 553. This is a 23% increase in attendance over the first conference. The focus of this conference was to draw attention to the tremendous range of major computational efforts on large problems in science and engineering, to promote the interdisciplinary culture required to meet these large-scale challenges, and to encourage the training of the next generation of computational scientists. Computational Science & Engineering (CS&E) is now widely accepted, along with theory and experiment, as a crucial third mode of scientific investigation and engineering design. Aerospace, automotive, biological, chemical, semiconductor, and other industrial sectors now rely on simulation for technical decision support. For federal agencies also, CS&E has become an essential support for decisions on resources, transportation, and defense. CS&E is, by nature, interdisciplinary. It grows out of physical applications and it depends on computer architecture, but at its heart are powerful numerical algorithms and sophisticated computer science techniques. From an applied mathematics perspective, much of CS&E has involved analysis, but the future surely includes optimization and design, especially in the presence of uncertainty. Another mathematical frontier is the assimilation of very large data sets through such techniques as adaptive multi-resolution, automated feature search, and low-dimensional parameterization. The themes of the 2003 conference included, but were not limited to: Advanced Discretization Methods; Computational Biology and Bioinformatics; Computational Chemistry and Chemical Engineering; Computational Earth and Atmospheric Sciences; Computational Electromagnetics; Computational Fluid Dynamics; Computational Medicine and Bioengineering; Computational Physics and Astrophysics; Computational Solid Mechanics and Materials; CS

A Financial Technology Entrepreneurship Program for Computer Science Students

Science.gov (United States)

Lawler, James P.; Joseph, Anthony

2011-01-01

Education in entrepreneurship is becoming a critical area of curricula for computer science students. Few schools of computer science have a concentration in entrepreneurship in the computing curricula. The paper presents Technology Entrepreneurship in the curricula at a leading school of computer science and information systems, in which students…

Computer science approach to quantum control

International Nuclear Information System (INIS)

Janzing, D.

2006-01-01

Whereas it is obvious that every computation process is a physical process it has hardly been recognized that many complex physical processes bear similarities to computation processes. This is in particular true for the control of physical systems on the nanoscopic level: usually the system can only be accessed via a rather limited set of elementary control operations and for many purposes only a concatenation of a large number of these basic operations will implement the desired process. This concatenation is in many cases quite similar to building complex programs from elementary steps and principles for designing algorithm may thus be a paradigm for designing control processes. For instance, one can decrease the temperature of one part of a molecule by transferring its heat to the remaining part where it is then dissipated to the environment. But the implementation of such a process involves a complex sequence of electromagnetic pulses. This work considers several hypothetical control processes on the nanoscopic level and show their analogy to computation processes. We show that measuring certain types of quantum observables is such a complex task that every instrument that is able to perform it would necessarily be an extremely powerful computer. Likewise, the implementation of a heat engine on the nanoscale requires to process the heat in a way that is similar to information processing and it can be shown that heat engines with maximal efficiency would be powerful computers, too. In the same way as problems in computer science can be classified by complexity classes we can also classify control problems according to their complexity. Moreover, we directly relate these complexity classes for control problems to the classes in computer science. Unifying notions of complexity in computer science and physics has therefore two aspects: on the one hand, computer science methods help to analyze the complexity of physical processes. On the other hand, reasonable

Cross-cultural comparisons of university students' science learning self-efficacy: structural relationships among factors within science learning self-efficacy

Science.gov (United States)

Wang, Ya-Ling; Liang, Jyh-Chong; Tsai, Chin-Chung

2018-04-01

Science learning self-efficacy could be regarded as a multi-factor belief which comprises different aspects such as cognitive skills, practical work, and everyday application. However, few studies have investigated the relationships among these factors that compose science learning self-efficacy. Also, culture may play an important role in explaining the relationships among these factors. Accordingly, this study aimed to investigate cultural differences in science learning self-efficacy and examine the relationships within factors constituting science learning self-efficacy by adopting a survey instrument for administration to students in the U.S. and Taiwan. A total of 218 university students (62.40% females) were surveyed in the U.S.A, and 224 university students (49.10% females) in Taiwan were also invited to take part in the study. The results of the structural equation modelling revealed cultural differences in the relationships among the factors of science learning self-efficacy. It was found that U.S. students' confidence in their ability to employ higher-order cognitive skills tended to promote their confidence in their ability to accomplish practical work, strengthening their academic self-efficacy. However, the aforementioned mediation was not found for the Taiwanese participants.

Mathematics and Computer Science: The Interplay

OpenAIRE

Madhavan, Veni CE

2005-01-01

Mathematics has been an important intellectual preoccupation of man for a long time. Computer science as a formal discipline is about seven decades young. However, one thing in common between all users and producers of mathematical thought is the almost involuntary use of computing. In this article, we bring to fore the many close connections and parallels between the two sciences of mathematics and computing. We show that, unlike in the other branches of human inquiry where mathematics is me...

Using Science to Take a Stand: Action-Oriented Learning in an Afterschool Science Club

Science.gov (United States)

Hagenah, Sara

This dissertation study investigates what happens when students participate in an afterschool science club designed around action-oriented science instruction, a set of curriculum design principles based on social justice pedagogy. Comprised of three manuscripts written for journal publication, the dissertation includes 1) Negotiating community-based action-oriented science teaching and learning: Articulating curriculum design principles, 2) Middle school girls' socio-scientific participation pathways in an afterschool science club, and 3) Laughing and learning together: Productive science learning spaces for middle school girls. By investigating how action-oriented science design principles get negotiated, female identity development in and with science, and the role of everyday social interactions as students do productive science, this research fills gaps in the understanding of how social justice pedagogy gets enacted and negotiated among multiple stakeholders including students, teachers, and community members along what identity development looks like across social and scientific activity. This study will be of interest to educators thinking about how to enact social justice pedagogy in science learning spaces and those interested in identity development in science.

Enhancing students' science literacy using solar cell learning multimedia containing science and nano technology

Science.gov (United States)

Eliyawati, Sunarya, Yayan; Mudzakir, Ahmad

2017-05-01

This research attempts to enhance students' science literacy in the aspects of students' science content, application context, process, and students' attitude using solar cell learning multimedia containing science and nano technology. The quasi-experimental method with pre-post test design was used to achieve these objectives. Seventy-two students of class XII at a high school were employed as research's subject. Thirty-six students were in control class and another thirty-six were in experiment class. Variance test (t-test) was performed on the average level of 95% to identify the differences of students' science literacy in both classes. As the result, there were significant different of learning outcomes between experiment class and control class. Almost half of students (41.67%) in experiment class are categorized as high. Therefore, the learning using solar cell learning multimedia can improve students' science literacy, especially in the students' science content, application context, and process aspects with n-gain(%) 59.19 (medium), 63.04 (medium), and 52.98 (medium). This study can be used to develop learning multimedia in other science context.

SPORT SCIENCE STUDENTS‟ BELIEFS ABOUT LANGUAGE LEARNING

Directory of Open Access Journals (Sweden)

Suvi Akhiriyah

2017-04-01

Full Text Available There are many reasons for students of Sport Science to use English. Yet, knowing the importance of learning English is sometimes not enough to encourage them to learn English well. Based on the experience in teaching them, erroneous belief seems to be held by many of them. It arouses curiosity about the beliefs which might be revealed to help the students to be successful in language learning. By investigating sport science students‘ beliefs about language learning, it is expected that types of the beliefs which they hold can be revealed. Understanding students‘ beliefs about language learning is essential because these beliefs can have possible consequences for second language learning and instruction. This study is expected to provide empirical evidence. The subjects of this study were 1st semester students majoring in Sport Science of Sport Science Faculty. There were 4 classes with 38 students in each class. There were approximately 152 students as the population of the study. The sample was taken by using random sampling. All members of the population received the questionnaire. The questionnaire which was later handed back to the researcher is considered as the sample. The instrument in this study is the newest version of Beliefs About Language Learning Inventory (BALLI, version 2.0, developed by Horwitz to asses the beliefs about learning a foreign language.

Adapting to Student Learning Styles: Using Cell Phone Technology in Undergraduate Science Instruction

Directory of Open Access Journals (Sweden)

Richard Pennington

2010-10-01

Full Text Available Students of science traditionally make 3x5 flash cards to assist learning nomenclature, structures, and reactions. Advances in educational technology have enabled flashcards viewed on computers, offering an endless array of drilling and feedback opportunities for students. The current generation of students is less inclined to use computers, but they use their cell phones 24 hours a day. This report outlines these trends and an even more recent educational technology initiative, that of using cell phone flash cards to help students learn biology and chemistry nomenclature, structures, and reactions. Students responded positively to cell phone flash cards in a pilot study and a more detailed study is planned for the coming year.

Computer science and the recent innovations of the modern society

Directory of Open Access Journals (Sweden)

Greorghe Popescu

2010-12-01

Full Text Available The paper “Computer science and the recent innovations of the modern society” presents the importance of computer science, with the most important historical moments in its evolution, the main theoretical elements of the computation science, computer elements and architecture and the latest innovations in the computer science, such as Artificial Intelligence.

Computer science I essentials

CERN Document Server

Raus, Randall

2012-01-01

REA's Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Computer Science I includes fundamental computer concepts, number representations, Boolean algebra, switching circuits, and computer architecture.

Examination of the Effects of Dimensionality on Cognitive Processing in Science: A Computational Modeling Experiment Comparing Online Laboratory Simulations and Serious Educational Games

Science.gov (United States)

Lamb, Richard L.

2016-02-01

Within the last 10 years, new tools for assisting in the teaching and learning of academic skills and content within the context of science have arisen. These new tools include multiple types of computer software and hardware to include (video) games. The purpose of this study was to examine and compare the effect of computer learning games in the form of three-dimensional serious educational games, two-dimensional online laboratories, and traditional lecture-based instruction in the context of student content learning in science. In particular, this study examines the impact of dimensionality, or the ability to move along the X-, Y-, and Z-axis in the games. Study subjects ( N = 551) were randomly selected using a stratified sampling technique. Independent strata subsamples were developed based upon the conditions of serious educational games, online laboratories, and lecture. The study also computationally models a potential mechanism of action and compares two- and three-dimensional learning environments. F test results suggest a significant difference for the main effect of condition across the factor of content gain score with large effect. Overall, comparisons using computational models suggest that three-dimensional serious educational games increase the level of success in learning as measured with content examinations through greater recruitment and attributional retraining of cognitive systems. The study supports assertions in the literature that the use of games in higher dimensions (i.e., three-dimensional versus two-dimensional) helps to increase student understanding of science concepts.

Developing Deep Learning Applications for Life Science and Pharma Industry.

Science.gov (United States)

Siegismund, Daniel; Tolkachev, Vasily; Heyse, Stephan; Sick, Beate; Duerr, Oliver; Steigele, Stephan

2018-06-01

Deep Learning has boosted artificial intelligence over the past 5 years and is seen now as one of the major technological innovation areas, predicted to replace lots of repetitive, but complex tasks of human labor within the next decade. It is also expected to be 'game changing' for research activities in pharma and life sciences, where large sets of similar yet complex data samples are systematically analyzed. Deep learning is currently conquering formerly expert domains especially in areas requiring perception, previously not amenable to standard machine learning. A typical example is the automated analysis of images which are typically produced en-masse in many domains, e. g., in high-content screening or digital pathology. Deep learning enables to create competitive applications in so-far defined core domains of 'human intelligence'. Applications of artificial intelligence have been enabled in recent years by (i) the massive availability of data samples, collected in pharma driven drug programs (='big data') as well as (ii) deep learning algorithmic advancements and (iii) increase in compute power. Such applications are based on software frameworks with specific strengths and weaknesses. Here, we introduce typical applications and underlying frameworks for deep learning with a set of practical criteria for developing production ready solutions in life science and pharma research. Based on our own experience in successfully developing deep learning applications we provide suggestions and a baseline for selecting the most suited frameworks for a future-proof and cost-effective development. © Georg Thieme Verlag KG Stuttgart · New York.

Machine Learning

CERN Multimedia

CERN. Geneva

2017-01-01

Machine learning, which builds on ideas in computer science, statistics, and optimization, focuses on developing algorithms to identify patterns and regularities in data, and using these learned patterns to make predictions on new observations. Boosted by its industrial and commercial applications, the field of machine learning is quickly evolving and expanding. Recent advances have seen great success in the realms of computer vision, natural language processing, and broadly in data science. Many of these techniques have already been applied in particle physics, for instance for particle identification, detector monitoring, and the optimization of computer resources. Modern machine learning approaches, such as deep learning, are only just beginning to be applied to the analysis of High Energy Physics data to approach more and more complex problems. These classes will review the framework behind machine learning and discuss recent developments in the field.

Science Learning Cycle Method to Enhance the Conceptual Understanding and the Learning Independence on Physics Learning

Science.gov (United States)

Sulisworo, Dwi; Sutadi, Novitasari

2017-01-01

There have been many studies related to the implementation of cooperative learning. However, there are still many problems in school related to the learning outcomes on science lesson, especially in physics. The aim of this study is to observe the application of science learning cycle (SLC) model on improving scientific literacy for secondary…

Surrounded by Science: Learning Science in Informal Environments

Science.gov (United States)

Fenichel, Marilyn; Schweingruber, Heidi A.

2010-01-01

Practitioners in informal science settings--museums, after-school programs, science and technology centers, media enterprises, libraries, aquariums, zoos, and botanical gardens--are interested in finding out what learning looks like, how to measure it, and what they can do to ensure that people of all ages, from different backgrounds and cultures,…

Collaborative activities for improving the quality of science teaching and learning and learning to teach science

Science.gov (United States)

Tobin, Kenneth

2012-03-01

I have been involved in research on collaborative activities for improving the quality of teaching and learning high school science. Initially the collaborative activities we researched involved the uses of coteaching and cogenerative dialogue in urban middle and high schools in Philadelphia and New York (currently I have active research sites in New York and Brisbane, Australia). The research not only transformed practices but also produced theories that informed the development of additional collaborative activities and served as interventions for research and creation of heuristics for professional development programs and teacher certification courses. The presentation describes a collage of collaborative approaches to teaching and learning science, including coteaching, cogenerative dialogue, radical listening, critical reflection, and mindful action. For each activity in the collage I provide theoretical frameworks and empirical support, ongoing research, and priorities for the road ahead. I also address methodologies used in the research, illustrating how teachers and students collaborated as researchers in multilevel investigations of teaching and learning and learning to teach that included ethnography, video analysis, and sophisticated analyses of the voice, facial expression of emotion, eye gaze, and movement of the body during classroom interactions. I trace the evolution of studies of face-to-face interactions in science classes to the current focus on emotions and physiological aspects of teaching and learning (e.g., pulse rate, pulse strength, breathing patterns) that relate to science participation and achievement.

Understanding Student Retention in Computer Science Education: The Role of Environment, Gains, Barriers and Usefulness

Science.gov (United States)

Giannakos, Michail N.; Pappas, Ilias O.; Jaccheri, Letizia; Sampson, Demetrios G.

2017-01-01

Researchers have been working to understand the high dropout rates in computer science (CS) education. Despite the great demand for CS professionals, little is known about what influences individuals to complete their CS studies. We identify gains of studying CS, the (learning) environment, degree's usefulness, and barriers as important predictors…

Architecting Learning Continuities for Families Across Informal Science Experiences

Science.gov (United States)

Perin, Suzanne Marie

By first recognizing the valuable social and scientific practices taking place within families as they learn science together across multiple, everyday settings, this dissertation addresses questions of how to design and scaffold activities that build and expand on those practices to foster a deep understanding of science, and how the aesthetic experience of learning science builds connections across educational settings. Families were invited to visit a natural history museum, an aquarium, and a place or activity of the family's choice that they associated with science learning. Some families were asked to use a set of activities during their study visits based on the practices of science (National Research Council, 2012), which were delivered via smartphone app or on paper cards. I use design-based research, video data analysis and interaction analysis to examine how families build connections between informal science learning settings. Chapter 2 outlines the research-based design process of creating activities for families that fostered connections across multiple learning settings, regardless of the topical content of those settings. Implications of this study point to means for linking everyday family social practices such as questioning, observing, and disagreeing to the practices of science through activities that are not site-specific. The next paper delves into aesthetic experience of science learning, and I use video interaction analysis and linguistic analysis to show how notions of beauty and pleasure (and their opposites) are perfused throughout learning activity. Designing for aesthetic experience overtly -- building on the sensations of enjoyment and pleasure in the learning experience -- can motivate those who might feel alienated by the common conception of science as merely a dispassionate assembly of facts, discrete procedures or inaccessible theory. The third paper, a case study of a family who learns about salmon in each of the sites they visit

Computer and Information Sciences II : 26th International Symposium on Computer and Information Sciences

CERN Document Server

Lent, Ricardo; Sakellari, Georgia

2012-01-01

Information technology is the enabling foundation for all of human activity at the beginning of the 21st century, and advances in this area are crucial to all of us. These advances are taking place all over the world and can only be followed and perceived when researchers from all over the world assemble, and exchange their ideas in conferences such as the one presented in this proceedings volume regarding the 26th International Symposium on Computer and Information Systems, held at the Royal Society in London on 26th to 28th September 2011. Computer and Information Sciences II contains novel advances in the state of the art covering applied research in electrical and computer engineering and computer science, across the broad area of information technology. It provides access to the main innovative activities in research across the world, and points to the results obtained recently by some of the most active teams in both Europe and Asia.

Best practices for measuring students' attitudes toward learning science.

Science.gov (United States)

Lovelace, Matthew; Brickman, Peggy

2013-01-01

Science educators often characterize the degree to which tests measure different facets of college students' learning, such as knowing, applying, and problem solving. A casual survey of scholarship of teaching and learning research studies reveals that many educators also measure how students' attitudes influence their learning. Students' science attitudes refer to their positive or negative feelings and predispositions to learn science. Science educators use attitude measures, in conjunction with learning measures, to inform the conclusions they draw about the efficacy of their instructional interventions. The measurement of students' attitudes poses similar but distinct challenges as compared with measurement of learning, such as determining validity and reliability of instruments and selecting appropriate methods for conducting statistical analyses. In this review, we will describe techniques commonly used to quantify students' attitudes toward science. We will also discuss best practices for the analysis and interpretation of attitude data.

Technologies and Reformed-Based Science Instruction: The Examination of a Professional Development Model Focused on Supporting Science Teaching and Learning with Technologies

Science.gov (United States)

Campbell, Todd; Longhurst, Max L.; Wang, Shiang-Kwei; Hsu, Hui-Yin; Coster, Dan C.

2015-01-01

While access to computers, other technologies, and cyber-enabled resources that could be leveraged for enhancing student learning in science is increasing, generally it has been found that teachers use technology more for administrative purposes or to support traditional instruction. This use of technology, especially to support traditional…

PENGEMBANGAN SCIENCE MOBILE LEARNING BERWAWASAN KONSERVASI BERBASIS ANDROID APP INVENTOR 2

Directory of Open Access Journals (Sweden)

Muhamad Taufiq

2017-02-01

Full Text Available Abstrak Penelitian ini bertujuan untuk mengembangkan science mobile learning berwawasan konservasi berbasis android app inventor yang teruji baik dan mengetahui respon pengguna terhadap aplikasi science mobile learning sebagai suplemen materi pembelajaran berbasis mobile. Metodologi yang digunakan dalam pembuatan aplikasi ini ialah metodologi waterfall. Aplikasi science mobile leraning berwawasan konservasi ini diharapkan dapat membantu siswa secara khusus dan masyarakat ilmiah secara umum untuk mendapatkan kemudahan belajar konsep sains menggunakan perangkat smartphone tanpa harus mencetak mengunakan kertas (paperless. Aplikasi science mobile learning dilengkapi dengan fitur pendukung yaitu gambar, video dan quiz. Simpulan dalam penelitian ini yaitu telah dihasilkan aplikasi science mobile learning berwawasan konservasi layak digunakan untuk belajar konsep sains dan upaya pengurangan penggunaan kertas (paperless, aplikasi science mobile learning mendapatkan respon baik dari masyarakat pengguna terkait kemudahan akses, kesesuaian fitur dan konten sains, serta pemanfaatannya yang mendukung pengurangan penggunaan kertas. Abstract The purpose of this research was to develop science mobile learning conservation vission based on android app inventor well tested and find out the user response to the application of mobile learning science as a supplement materials of learning mobile based. The methodology used in the making of this application is the waterfall methodology. Science mobile learning applications conservation vission is expected to help the students in particular and the scientific community in general to get the ease of learning science concepts using a Smartphone device without having to print using paper (paperless. Applications of science mobile learning include by supporting features of images, videos and quizzes. The conclusions in this research that has generated the application of science mobile learning conservation vision

The influence of audio communications technology on computer-supported collaborative learning

Directory of Open Access Journals (Sweden)

Denise Whitelock

1996-12-01

Full Text Available In recent years there has been an appreciation of the benefits that can be obtained by students working in groups or teams using computers (Eraut and Hoyles, 1988. But there is a difference in opinion as to how a partner enhances learning, and in particular how well adult learners do in the collaborative setting. In order to capitalize on the opportunities offered by new technologies, we need to understand more fully how the process of collaboration is effected by different communication technologies, and how the technologies themselves might be used to best advantage for the benefit of distance learners. However, another factor, apart from the technology itself, which is thought to influence computer-supported collaborative learning is in the gender distribution of the group. A number of classroom studies have shown gender differences when children work together with computers, and these have been reported from a number of subject-domains including science (Scanlon et al, 1993; Littleton et al, 1992. Since our own expertise is in the area of science learning, we selected a non-trivial physics task for the subjects to work with, and that is in the area of elastic collisions. Previous studies (Villani and Pacca, 1990; Whitelock et al, 1993 have shown that both adults and school-children have difficulty in predicting the subsequent motion of balls or ice pucks after they collide. Villani's study stresses that even postgraduate students tend to revert to their informal commonsense notions unless they are cued to use formal representations of these types of problem. These studies have demonstrated that the topic of elastic collisions is a complex yet fruitful one in which to engage students in group work.

Elementary Science Instruction: Examining a Virtual Environment for Evidence of Learning, Engagement, and 21st Century Competencies

Directory of Open Access Journals (Sweden)

Terry K. Smith

2014-03-01

Full Text Available This mixed methods study examined the effectiveness of a virtual world curriculum for teaching elementary students complex science concepts and skills. Data were collected using pre- and post-content tests and a student survey of engaged learning, An additional survey collected teacher observations of 21st century competencies conducive to learning. The study involved a five-day intervention of fifteen 4th grade students in a small Midwestern school using a virtual science computer game from Arizona State University. Thirty elementary teachers from Australia, England, and the United States were surveyed on classroom observations of their elementary students working in the virtual world environment. Research questions guiding the virtual learning study were: (1 do pre- and post-content tests show significant learning in the virtual environment; (2 are students academically engaged during the learning process; and (3 are students actively demonstrating relevant 21st century competencies. The study supports prior research in game-based learning showing measureable learning results, highly engaged, motivated students, and observations of student behaviors conducive to learning science in school, namely collaboration, problem solving, critical thinking/inquiry, global awareness, and technology use.

Computer simulations in the high school: students' cognitive stages, science process skills and academic achievement in microbiology

Science.gov (United States)

Huppert, J.; Michal Lomask, S.; Lazarowitz, R.

2002-08-01

Computer-assisted learning, including simulated experiments, has great potential to address the problem solving process which is a complex activity. It requires a highly structured approach in order to understand the use of simulations as an instructional device. This study is based on a computer simulation program, 'The Growth Curve of Microorganisms', which required tenth grade biology students to use problem solving skills whilst simultaneously manipulating three independent variables in one simulated experiment. The aims were to investigate the computer simulation's impact on students' academic achievement and on their mastery of science process skills in relation to their cognitive stages. The results indicate that the concrete and transition operational students in the experimental group achieved significantly higher academic achievement than their counterparts in the control group. The higher the cognitive operational stage, the higher students' achievement was, except in the control group where students in the concrete and transition operational stages did not differ. Girls achieved equally with the boys in the experimental group. Students' academic achievement may indicate the potential impact a computer simulation program can have, enabling students with low reasoning abilities to cope successfully with learning concepts and principles in science which require high cognitive skills.

Crossing borders: High school science teachers learning to teach the specialized language of science

Science.gov (United States)

Patrick, Jennifer Drake

The highly specialized language of science is both challenging and alienating to adolescent readers. This study investigated how secondary science teachers learn to teach the specialized language of science in their classrooms. Three research questions guided this study: (a) what do science teachers know about teaching reading in science? (b) what understanding about the unique language demands of science reading do they construct through professional development? and (c) how do they integrate what they have learned about these specialized features of science language into their teaching practices? This study investigated the experience of seven secondary science teachers as they participated in a professional development program designed to teach them about the specialized language of science. Data sources included participant interviews, audio-taped professional development sessions, field notes from classroom observations, and a prior knowledge survey. Results from this study suggest that science teachers (a) were excited to learn about disciplinary reading practices, (b) developed an emergent awareness of the specialized features of science language and the various genres of science writing, and (c) recognized that the challenges of science reading goes beyond vocabulary. These teachers' efforts to understand and address the language of science in their teaching practices were undermined by their lack of basic knowledge of grammar, availability of time and resources, their prior knowledge and experiences, existing curriculum, and school structure. This study contributes to our understanding of how secondary science teachers learn about disciplinary literacy and apply that knowledge in their classroom instruction. It has important implications for literacy educators and science educators who are interested in using language and literacy practices in the service of science teaching and learning. (Full text of this dissertation may be available via the University

Investigative Primary Science: A Problem-Based Learning Approach

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Etherington, Matthew B.

2011-01-01

This study reports on the success of using a problem-based learning approach (PBL) as a pedagogical mode of learning open inquiry science within a traditional four-year undergraduate elementary teacher education program. In 2010, a problem-based learning approach to teaching primary science replaced the traditional content driven syllabus. During…

The Effect of Guided Inquiry Learning with Mind Map to Science Process Skills and Learning Outcomes of Natural Sciences

Directory of Open Access Journals (Sweden)

Hilman .

2015-04-01

Full Text Available Pengaruh Pembelajaran Inkuiri Terbimbing dengan Mind Map terhadap Keterampilan Proses Sains dan Hasil Belajar IPA   Abstract: Science learning in junior high school aims to enable students conducts scientific inquiry, improves knowledge, concepts, and science skills. Organization materials for students supports learning process so that needs to be explored techniques that allows students to enable it. This study aimed to determine the effect of guided inquiry learning with mind map on science process skills and cognitive learning outcomes. This experimental quasi studey used pretest-posttest control group design and consisted eighth grade students of SMP Negeri 1 Papalang Mamuju of West Sulawesi. The results showed there where significant positive effect of guided inquiry learning with mind map on process science skills and cognitive learning outcomes. Key Words: guided inquiry, mind map, science process skills, cognitive learning outcomes   Abstrak: Pembelajaran Ilmu Pengetahuan Alam (IPA di SMP bertujuan agar siswa dapat melakukan inkuiri ilmiah, meningkatkan pengetahuan, konsep, dan keterampilan IPA. Dalam pembelajaran, organisasi materi berperan penting dalam memudahkan anak belajar sehingga perlu ditelaah teknik yang memudahkan siswa membuat organisasi materi. Penelitian ini bertujuan mengetahui pengaruh pembelajaran inkuiri terbimbing dengan mind map terhadap keterampilan proses sains dan hasil belajar kognitif. Penelitian kuasi eksperimen ini menggunakan rancangan pre test-post test control group design dengan subjek penelitian siswa kelas VIII SMP Negeri 1 Papalang. Hasil penelitian menunjukkan ada pengaruh positif yang signifikan pembelajaran inkuiri terbimbing dengan mind map terhadap kemampuan keterampilan proses sains dan hasil belajar kognitif siswa. Kata kunci:  inkuiri terbimbing, mind map, keterampilan proses sains,  hasil belajar kognitif

How Teaching Science Using Project-Based Learning Strategies Affects the Classroom Learning Environment

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Hugerat, Muhamad

2016-01-01

This study involved 458 ninth-grade students from two different Arab middle schools in Israel. Half of the students learned science using project-based learning strategies and the other half learned using traditional methods (non-project-based). The classes were heterogeneous regarding their achievements in the sciences. The adapted questionnaire…

The Effect of Guided Inquiry Learning with Mind Map to Science Process Skills and Learning Outcomes of Natural Sciences

OpenAIRE

Hilman .

2015-01-01

Pengaruh Pembelajaran Inkuiri Terbimbing dengan Mind Map terhadap Keterampilan Proses Sains dan Hasil Belajar IPA   Abstract: Science learning in junior high school aims to enable students conducts scientific inquiry, improves knowledge, concepts, and science skills. Organization materials for students supports learning process so that needs to be explored techniques that allows students to enable it. This study aimed to determine the effect of guided inquiry learning with mind map on...

Learning Style and Attitude toward Computer among Iranian Medical Students

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Seyedeh Shohreh Alavi

2016-02-01

Full Text Available Background and purpose: Presently, the method of medical teaching has shifted from lecture-based to computer-based. The learning style may play a key role in the attitude toward learning computer. The goal of this study was to study the relationship between the learning style and attitude toward computer among Iranian medical students.Methods: This cross-sectional study included 400 medical students. Barsch learning style inventory and a questionnaire on the attitude toward computer was sent to each student. The enthusiasm, anxiety, and overall attitude toward computer were compared among the different learning styles.Results: The response rate to the questionnaire was 91.8%. The distribution of learning styles in the students was 181 (49.3% visual, 106 (28.9% auditory, 27 (7.4% tactual, and 53 (14.4% overall. Visual learners were less anxious for computer use and showed more positive attitude toward computer. Sex, age, and academic grade were not associated with students’ attitude toward computer.Conclusions: The learning style is an important factor in the students’ attitude toward computer among medical students, which should be considered in planning computer-based learning programs.Keywords: LEARNING STYLE, ATTITUDE, COMPUTER, MEDICAL STUDENT, ANXIETY, ENTHUSIASM

Computer science in Dutch secondary education: independent or integrated?

NARCIS (Netherlands)

van der Sijde, Peter; Doornekamp, B.G.

1992-01-01

Nowadays, in Dutch secondary education, computer science is integrated within school subjects. About ten years ago computer science was considered an independent subject, but in the mid-1980s this idea changed. In our study we investigated whether the objectives of teaching computer science as an

Examination of the Effects of Dimensionality on Cognitive Processing in Science: A Computational Modeling Experiment Comparing Online Laboratory Simulations and Serious Educational Games

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Lamb, Richard L.

2016-01-01

Within the last 10 years, new tools for assisting in the teaching and learning of academic skills and content within the context of science have arisen. These new tools include multiple types of computer software and hardware to include (video) games. The purpose of this study was to examine and compare the effect of computer learning games in the…

Computer use changes generalization of movement learning.

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Wei, Kunlin; Yan, Xiang; Kong, Gaiqing; Yin, Cong; Zhang, Fan; Wang, Qining; Kording, Konrad Paul

2014-01-06

Over the past few decades, one of the most salient lifestyle changes for us has been the use of computers. For many of us, manual interaction with a computer occupies a large portion of our working time. Through neural plasticity, this extensive movement training should change our representation of movements (e.g., [1-3]), just like search engines affect memory [4]. However, how computer use affects motor learning is largely understudied. Additionally, as virtually all participants in studies of perception and actions are computer users, a legitimate question is whether insights from these studies bear the signature of computer-use experience. We compared non-computer users with age- and education-matched computer users in standard motor learning experiments. We found that people learned equally fast but that non-computer users generalized significantly less across space, a difference negated by two weeks of intensive computer training. Our findings suggest that computer-use experience shaped our basic sensorimotor behaviors, and this influence should be considered whenever computer users are recruited as study participants. Copyright © 2014 Elsevier Ltd. All rights reserved.

Predicting Turkish Preservice Elementary Teachers' Orientations to Teaching Science with Epistemological Beliefs, Learning Conceptions, and Learning Approaches in Science

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Sahin, Elif Adibelli; Deniz, Hasan; Topçu, Mustafa Sami

2016-01-01

The present study investigated to what extent Turkish preservice elementary teachers' orientations to teaching science could be explained by their epistemological beliefs, conceptions of learning, and approaches to learning science. The sample included 157 Turkish preservice elementary teachers. The four instruments used in the study were School…

Indiana secondary students' evolution learning experiences and demarcations of science from non-science

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Donnelly, Lisa A.

2007-12-01

Previous research has documented students' conceptual difficulties learning evolution and how student learning may be related to students' views of evolution and science. This mixed methods study addressed how 74 high school biology students from six Indiana high schools viewed their evolution learning experiences, the demarcations of science from non-science, and evolution understanding and acceptance. Data collection entailed qualitative and quantitative methods including interviews, classroom observations, surveys, and assessments to address students' views of science and non-science, evolution learning experiences, and understanding and acceptance of evolution. Qualitative coding generated several demarcation and evolution learning experience codes that were subsequently used in quantitative comparisons of evolution understanding and acceptance. The majority of students viewed science as empirical, tentative but ultimately leading to certain truth, compatible with religion, the product of experimental work, and the product of human creativity. None of the students offered the consensus NOS view that scientific theories are substantiated explanations of phenomena while scientific laws state relationships or patterns between phenomena. About half the students indicated that scientific knowledge was subjectively and socio-culturally influenced. The majority of students also indicated that they had positive evolution learning experiences and thought evolution should be taught in secondary school. The quantitative comparisons revealed how students who viewed scientific knowledge as subjectively and socio-culturally influenced had higher understanding than their peers. Furthermore, students who maintained that science and religion were compatible did not differ with respect to understanding but had higher acceptance than their peers who viewed science and religion as conflicting. Furthermore, students who maintained that science must be consistent with their

Computer-based teaching and evaluation of introductory statistics for health science students: some lessons learned

Directory of Open Access Journals (Sweden)

Nuala Colgan

1994-12-01

Full Text Available In recent years, it has become possible to introduce health science students to statistical packages at an increasingly early stage in their undergraduate studies. This has enabled teaching to take place in a computer laboratory, using real data, and encouraging an exploratory and research-oriented approach. This paper briefly describes a hypertext Computer Based Tutorial (CBT concerned with descriptive statistics and introductory data analysis. The CBT has three primary objectives: the introduction of concepts, the facilitation of revision, and the acquisition of skills for project work. Objective testing is incorporated and used for both self-assessment and formal examination. Evaluation was carried out with a large group of Health Science students, heterogeneous with regard to their IT skills and basic numeracy. The results of the evaluation contain valuable lessons.

Enhancing interest in statistics among computer science students using computer tool entrepreneur role play

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Judi, Hairulliza Mohamad; Sahari @ Ashari, Noraidah; Eksan, Zanaton Hj

2017-04-01

Previous research in Malaysia indicates that there is a problem regarding attitude towards statistics among students. They didn't show positive attitude in affective, cognitive, capability, value, interest and effort aspects although did well in difficulty. This issue should be given substantial attention because students' attitude towards statistics may give impacts on the teaching and learning process of the subject. Teaching statistics using role play is an appropriate attempt to improve attitudes to statistics, to enhance the learning of statistical techniques and statistical thinking, and to increase generic skills. The objectives of the paper are to give an overview on role play in statistics learning and to access the effect of these activities on students' attitude and learning in action research framework. The computer tool entrepreneur role play is conducted in a two-hour tutorial class session of first year students in Faculty of Information Sciences and Technology (FTSM), Universiti Kebangsaan Malaysia, enrolled in Probability and Statistics course. The results show that most students feel that they have enjoyable and great time in the role play. Furthermore, benefits and disadvantages from role play activities were highlighted to complete the review. Role play is expected to serve as an important activities that take into account students' experience, emotions and responses to provide useful information on how to modify student's thinking or behavior to improve learning.

Summary of researches being performed in the Institute of Mathematics and Computer Science on computer science and information technologies

Directory of Open Access Journals (Sweden)

Artiom Alhazov

2008-07-01

Full Text Available Evolution of the informatization notion (which assumes automation of majority of human activities applying computers, computer networks, information technologies towards the notion of {\\it Global Information Society} (GIS challenges the determination of new paradigms of society: automation and intellectualization of production, new level of education and teaching, formation of new styles of work, active participation in decision making, etc. To assure transition to GIS for any society, including that from Republic of Moldova, requires both special training and broad application of progressive technologies and information systems. Methodological aspects concerning impact of GIS creation over the citizen, economic unit, national economy in the aggregate demands a profound study. Without systematic approach to these aspects the GIS creation would have confront great difficulties. Collective of researchers from the Institute of Mathematics and Computer Science (IMCS of Academy of Sciences of Moldova, which work in the field of computer science, constitutes the center of advanced researches and activates in those directions of researches of computer science which facilitate technologies and applications without of which the development of GIS cannot be assured.

Empirical Determination of Competence Areas to Computer Science Education

Science.gov (United States)

Zendler, Andreas; Klaudt, Dieter; Seitz, Cornelia

2014-01-01

The authors discuss empirically determined competence areas to K-12 computer science education, emphasizing the cognitive level of competence. The results of a questionnaire with 120 professors of computer science serve as a database. By using multi-dimensional scaling and cluster analysis, four competence areas to computer science education…

Factors Influencing Exemplary Science Teachers' Levels of Computer Use

Science.gov (United States)

Hakverdi, Meral; Dana, Thomas M.; Swain, Colleen

2011-01-01

The purpose of this study was to examine exemplary science teachers' use of technology in science instruction, factors influencing their level of computer use, their level of knowledge/skills in using specific computer applications for science instruction, their use of computer-related applications/tools during their instruction, and their…

3rd Computer Science On-line Conference

CERN Document Server

Senkerik, Roman; Oplatkova, Zuzana; Silhavy, Petr; Prokopova, Zdenka

2014-01-01

This book is based on the research papers presented in the 3rd Computer Science On-line Conference 2014 (CSOC 2014).   The conference is intended to provide an international forum for discussions on the latest high-quality research results in all areas related to Computer Science. The topics addressed are the theoretical aspects and applications of Artificial Intelligences, Computer Science, Informatics and Software Engineering.   The authors provide new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in their field. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also presented.   This book is divided into three sections and covers topics including Artificial Intelligence, Computer Science and Software Engineering. Each section consists of new theoretical contributions and applications which can be used for the further development of knowledge of everybod...

Students experiences with collaborative learning in asynchronous computer-supported collaborative learning environments.

NARCIS (Netherlands)

Dewiyanti, Silvia; Brand-Gruwel, Saskia; Jochems, Wim; Broers, Nick

2008-01-01

Dewiyanti, S., Brand-Gruwel, S., Jochems, W., & Broers, N. (2007). Students experiences with collaborative learning in asynchronous computer-supported collaborative learning environments. Computers in Human Behavior, 23, 496-514.

Computational Exposure Science: An Emerging Discipline to ...

Science.gov (United States)

Background: Computational exposure science represents a frontier of environmental science that is emerging and quickly evolving.Objectives: In this commentary, we define this burgeoning discipline, describe a framework for implementation, and review some key ongoing research elements that are advancing the science with respect to exposure to chemicals in consumer products.Discussion: The fundamental elements of computational exposure science include the development of reliable, computationally efficient predictive exposure models; the identification, acquisition, and application of data to support and evaluate these models; and generation of improved methods for extrapolating across chemicals. We describe our efforts in each of these areas and provide examples that demonstrate both progress and potential.Conclusions: Computational exposure science, linked with comparable efforts in toxicology, is ushering in a new era of risk assessment that greatly expands our ability to evaluate chemical safety and sustainability and to protect public health. The National Exposure Research Laboratory’s (NERL’s) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA’s mission to protect human health and the environment. HEASD’s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA’s strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source

Machine learning: Trends, perspectives, and prospects.

Science.gov (United States)

Jordan, M I; Mitchell, T M

2015-07-17

Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core of artificial intelligence and data science. Recent progress in machine learning has been driven both by the development of new learning algorithms and theory and by the ongoing explosion in the availability of online data and low-cost computation. The adoption of data-intensive machine-learning methods can be found throughout science, technology and commerce, leading to more evidence-based decision-making across many walks of life, including health care, manufacturing, education, financial modeling, policing, and marketing. Copyright © 2015, American Association for the Advancement of Science.

Undergraduate Students' Earth Science Learning: Relationships among Conceptions, Approaches, and Learning Self-Efficacy in Taiwan

Science.gov (United States)

Shen, Kuan-Ming; Lee, Min-Hsien; Tsai, Chin-Chung; Chang, Chun-Yen

2016-01-01

In the area of science education research, studies have attempted to investigate conceptions of learning, approaches to learning, and self-efficacy, mainly focusing on science in general or on specific subjects such as biology, physics, and chemistry. However, few empirical studies have probed students' earth science learning. This study aimed to…

Applied Computational Mathematics in Social Sciences

CERN Document Server

Damaceanu, Romulus-Catalin

2010-01-01

Applied Computational Mathematics in Social Sciences adopts a modern scientific approach that combines knowledge from mathematical modeling with various aspects of social science. Special algorithms can be created to simulate an artificial society and a detailed analysis can subsequently be used to project social realities. This Ebook specifically deals with computations using the NetLogo platform, and is intended for researchers interested in advanced human geography and mathematical modeling studies.

Gravity Spy - Integrating LIGO detector characterization, citizen science, and machine learning

Science.gov (United States)

Zevin, Michael; Gravity Spy

2016-06-01

On September 14th 2015, the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO) made the first direct observation of gravitational waves and opened a new field of observational astronomy. However, being the most complicated and sensitve experiment ever undertaken in gravitational physics, aLIGO is susceptible to various sources of environmental and instrumental noise that hinder the search for more gravitational waves.Of particular concern are transient, non-Gaussian noise features known as glitches. Glitches can mimic true astrophysical gravitational waves, occur at a high enough frequency to be coherent between the two detectors, and generally worsen aLIGO's detection capabilities. The proper classification and charaterization of glitches is paramount in optimizing aLIGO's ability to detect gravitational waves. However, teaching computers to identify and morphologically classify these artifacts is exceedingly difficult.Human intuition has proven to be a useful tool in classifcation probelms such as this. Gravity Spy is an innovative, interdisciplinary project hosted by Zooniverse that combines aLIGO detector characterization, citizen science, machine learning, and social science. In this project, citizen scientists and computers will work together in a sybiotic relationship that leverages human pattern recognition and the ability of machine learning to process large amounts of data systematically: volunteers classify triggers from the aLIGO data steam that are constantly updated as aLIGO takes in new data, and these classifications are used to train machine learning algorithms which proceed to classify the bulk of aLIGO data and feed questionable glithces back to the users.In this talk, I will discuss the workflow and initial results of the Gravity Spy project with regard to aLIGO's future observing runs and highlight the potential of such citizen science projects in promoting nascent fields such as gravitational wave astrophysics.

Results and Implications of a 12-Year Longitudinal Study of Science Concept Learning

Science.gov (United States)

Novak, Joseph D.

2005-03-01

This paper describes the methods and outcomes of a 12-year longitudinal study into the effects of an early intervention program, while reflecting back on changes that have occurred in approaches to research, learning and instruction since the preliminary inception stages of the study in the mid 1960s. We began the study to challenge the prevailing consensus at the time that primary school children were either preoperational or concrete operational in their cognitive development and they could not learn abstract concepts. Our early research, based on Ausubelian theory, suggested otherwise. The paper describes the development and implementation of a Grade 1-2 audio tutorial science instructional sequence, and the subsequent tracing over 12 years, of the children's conceptual understandings in science compared to a matched control group. During the study the concept map was developed as a new tool to trace children's conceptual development. We found that students in the instruction group far outperformed their non-instructed counterparts, and this difference increased as they progressed through middle and high school. The data clearly support the earlier introduction of science instruction on basic science concepts, such as the particulate nature of matter, energy and energy transformations. The data suggest that national curriculum standards for science grossly underestimate the learning capabilities of primary-grade children. The study has helped to lay a foundation for guided instruction using computers and concept mapping that may help both teachers and students become more proficient in understanding science.

Integration of e-learning technologies in an interprofessional health science course.

Science.gov (United States)

Carbonaro, Mike; King, Sharla; Taylor, Elizabeth; Satzinger, Franziska; Snart, Fern; Drummond, Jane

2008-02-01

Advances in information and communication technology are influencing instructional formats and delivery modes for post secondary teaching and learning. The purpose of this study was to determine whether interprofessional team process skills traditionally taught in a small group face-to-face classroom setting could be taught in a blended learning environment; without compromising the pedagogical approach and collaborative Group Investigation Model (Sharan & Sharan 1992) used in the course. A required interprofessional team development course designed to teach health science students (Medicine, Nursing, Pharmacy, Occupational Therapy, Physical Therapy, Dentistry, Dental Hygiene, Medical Laboratory Science, and Nutrition) team process skills was redesigned from a 100% face-to-face delivery format to a blended learning format where 70% of the instruction was delivered using a new synchronous virtual classroom technology (Elluminate www.elluminate.com) in conjunction with asynchronous technology (WebCT). It was hypothesized there would be no significant difference between the blended learning format and the traditional face-to-face format in the development of interprofessional team knowledge, skills and attitudes. The two formats were evaluated on demographic information, computer experience, and interprofessional team attitudes, knowledge and skills. The three main findings are: (a) no significant differences between student groups on achieving team process skills, (b) an observation of differences between the groups on team dynamics, and (c) a more positive achievement of course learning objectives perceived by students in the blended learning class. The results provide evidence to support our blended learning format without compromising pedagogy. They also suggest that this format enhances students' perceptions of their learning.

A brief review of augmented reality science learning

Science.gov (United States)

Gopalan, Valarmathie; Bakar, Juliana Aida Abu; Zulkifli, Abdul Nasir

2017-10-01

This paper reviews several literatures concerning the theories and model that could be applied for science motivation for upper secondary school learners (16-17 years old) in order to make the learning experience more amazing and useful. The embedment of AR in science could bring an awe-inspiring transformation on learners' viewpoint towards the respective subject matters. Augmented Reality is able to present the real and virtual learning experience with the addition of multiple media without replacing the real environment. Due to the unique feature of AR, it attracts the mass attention of researchers to implement AR in science learning. This impressive technology offers learners with the ultimate visualization and provides an astonishing and transparent learning experience by bringing to light the unseen perspective of the learning content. This paper will attract the attention of researchers in the related field as well as academicians in the related discipline. This paper aims to propose several related theoretical guidance that could be applied in science motivation to transform the learning in an effective way.

E-LEARNING IN PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCE

Directory of Open Access Journals (Sweden)

A. Vyas

2016-06-01

Full Text Available Science and technology are evolving leaps and bounds. The advancements in GI-Science for natural and built environment helps in improving the quality of life. Learning through education and training needs to be at par with those advancements, which plays a vital role in utilization of technology. New technologies that creates new opportunities have enabled Geomatics to broaden the horizon (skills and competencies. Government policies and decisions support the use of geospatial science in various sectors of governance. Mapping, Land management, Urban planning, Environmental planning, Industrialization are some of the areas where the geomatics has become a baseline for decision making at national level. There is a need to bridge the gap between developments in geospatial science and its utilization and implementation. To prepare a framework for standardisation it is important to understand the theories of education and prevailing practices, with articulate goals exploring variety of teaching techniques. E-Learning is an erudition practice shaped for facilitating learning and improving performance by creating, using and managing appropriate technological processes and resources through digital and network-enabled technology. It is a shift from traditional education or training to ICT-based flexible and collaborative learning based on the community of learners, academia, professionals, experts and facilitators. Developments in e-learning is focussed on computer assisted learning which has become popular because of its potential for providing more flexible access to content and instruction at any time, from any place (Means et al, 2009. With the advent of the geo-spatial technology, fast development in the software and hardware, the demand for skilled manpower is increasing and the need is for training, education, research and dissemination. It suggests inter-organisational cooperation between academia, industry, government and international

E-Learning in Photogrammetry, Remote Sensing and Spatial Information Science

Science.gov (United States)

Vyas, Anjana; König, Gerhard

2016-06-01

Science and technology are evolving leaps and bounds. The advancements in GI-Science for natural and built environment helps in improving the quality of life. Learning through education and training needs to be at par with those advancements, which plays a vital role in utilization of technology. New technologies that creates new opportunities have enabled Geomatics to broaden the horizon (skills and competencies). Government policies and decisions support the use of geospatial science in various sectors of governance. Mapping, Land management, Urban planning, Environmental planning, Industrialization are some of the areas where the geomatics has become a baseline for decision making at national level. There is a need to bridge the gap between developments in geospatial science and its utilization and implementation. To prepare a framework for standardisation it is important to understand the theories of education and prevailing practices, with articulate goals exploring variety of teaching techniques. E-Learning is an erudition practice shaped for facilitating learning and improving performance by creating, using and managing appropriate technological processes and resources through digital and network-enabled technology. It is a shift from traditional education or training to ICT-based flexible and collaborative learning based on the community of learners, academia, professionals, experts and facilitators. Developments in e-learning is focussed on computer assisted learning which has become popular because of its potential for providing more flexible access to content and instruction at any time, from any place (Means et al, 2009). With the advent of the geo-spatial technology, fast development in the software and hardware, the demand for skilled manpower is increasing and the need is for training, education, research and dissemination. It suggests inter-organisational cooperation between academia, industry, government and international collaboration. There is a

Technologies and Reformed-Based Science Instruction: The Examination of a Professional Development Model Focused on Supporting Science Teaching and Learning with Technologies

Science.gov (United States)

Campbell, Todd; Longhurst, Max L.; Wang, Shiang-Kwei; Hsu, Hui-Yin; Coster, Dan C.

2015-10-01

While access to computers, other technologies, and cyber-enabled resources that could be leveraged for enhancing student learning in science is increasing, generally it has been found that teachers use technology more for administrative purposes or to support traditional instruction. This use of technology, especially to support traditional instruction, sits in opposition to most recent standards documents in science education that call for student involvement in evidence-based sense-making activities. Many see technology as a potentially powerful resource that is reshaping society and has the potential to do the same in science classrooms. To consider the promise of technology in science classrooms, this research investigated the impact of a professional development project focused on enhancing teacher and student learning by using information and communication technologies (ICTs) for engaging students in reformed-based instruction. More specifically, these findings revealed positive teacher outcomes with respect to reformed-based and technology-supported instruction and increased ICT and new literacies skills. When considering students, the findings revealed positive outcomes with respect to ICT and new literacies skills and student achievement in science.

Functional Automata - Formal Languages for Computer Science Students

Directory of Open Access Journals (Sweden)

Marco T. Morazán

2014-12-01

Full Text Available An introductory formal languages course exposes advanced undergraduate and early graduate students to automata theory, grammars, constructive proofs, computability, and decidability. Programming students find these topics to be challenging or, in many cases, overwhelming and on the fringe of Computer Science. The existence of this perception is not completely absurd since students are asked to design and prove correct machines and grammars without being able to experiment nor get immediate feedback, which is essential in a learning context. This article puts forth the thesis that the theory of computation ought to be taught using tools for actually building computations. It describes the implementation and the classroom use of a library, FSM, designed to provide students with the opportunity to experiment and test their designs using state machines, grammars, and regular expressions. Students are able to perform random testing before proceeding with a formal proof of correctness. That is, students can test their designs much like they do in a programming course. In addition, the library easily allows students to implement the algorithms they develop as part of the constructive proofs they write. Providing students with this ability ought to be a new trend in the formal languages classroom.

Computer - based modeling in extract sciences research -III ...

African Journals Online (AJOL)

Molecular modeling techniques have been of great applicability in the study of the biological sciences and other exact science fields like agriculture, mathematics, computer science and the like. In this write up, a list of computer programs for predicting, for instance, the structure of proteins has been provided. Discussions on ...

Promoting Elementary Students' Epistemology of Science through Computer-Supported Knowledge-Building Discourse and Epistemic Reflection

Science.gov (United States)

Lin, Feng; Chan, Carol K. K.

2018-01-01

This study examined the role of computer-supported knowledge-building discourse and epistemic reflection in promoting elementary-school students' scientific epistemology and science learning. The participants were 39 Grade 5 students who were collectively pursuing ideas and inquiry for knowledge advance using Knowledge Forum (KF) while studying a…

Real Science, Real Learning: Bridging the Gap Between Scientists, Educators and Students

Science.gov (United States)

Lewis, Y.

2006-05-01

Today as never before, America needs its citizens to be literate in science and technology. Not only must we only inspire a new generation of scientists and engineers and technologists, we must foster a society capable of meeting complex, 21st-century challenges. Unfortunately, the need for creative, flexible thinkers is growing at a time when our young students are lagging in science interest and performance. Over the past 17 years, the JASON Project has worked to link real science and scientists to the classroom. This link provide viable pipeline to creating the next generation scientists and researchers. Ultimately, JASON's mission is to improve the way science is taught by enabling students to learn directly from leading scientists. Through partnerships with agencies such as NOAA and NASA, JASON creates multimedia classroom products based on current scientific research. Broadcasts of science expeditions, hosted by leading researchers, are coupled with classroom materials that include interactive computer-based simulations, video- on-demand, inquiry-based experiments and activities, and print materials for students and teachers. A "gated" Web site hosts online resources and provides a secure platform to network with scientists and other classrooms in a nationwide community of learners. Each curriculum is organized around a specific theme for a comprehensive learning experience. It may be taught as a complete package, or individual components can be selected to teach specific, standards-based concepts. Such thematic units include: Disappearing Wetlands, Mysteries of Earth and Mars, and Monster Storms. All JASON curriculum units are grounded in "inquiry-based learning." The highly interactive curriculum will enable students to access current, real-world scientific research and employ the scientific method through reflection, investigation, identification of problems, sharing of data, and forming and testing hypotheses. JASON specializes in effectively applying

The Development of a Learning Dashboard for Lecturers: A Case Study on a Student-Centered E-Learning Environment

Science.gov (United States)

Santoso, Harry B.; Batuparan, Alivia Khaira; Isal, R. Yugo K.; Goodridge, Wade H.

2018-01-01

Student Centered e-Learning Environment (SCELE) is a Moodle-based learning management system (LMS) that has been modified to enhance learning within a computer science department curriculum offered by the Faculty of Computer Science of large public university in Indonesia. This Moodle provided a mechanism to record students' activities when…

Collaboration, Collusion and Plagiarism in Computer Science Coursework

OpenAIRE

Robert FRASER

2014-01-01

We present an overview of the nature of academic dishonesty with respect to computer science coursework. We discuss the efficacy of various policies for collaboration with regard to student education, and we consider a number of strategies for mitigating dishonest behaviour on computer science coursework by addressing some common causes. Computer science coursework is somewhat unique, in that there often exist ideal solutions for problems, and work may be shared and copied with very little ef...

Building Future Directions for Teacher Learning in Science Education

Science.gov (United States)

Smith, Kathy; Lindsay, Simon

2016-04-01

In 2013, as part of a process to renew an overall sector vision for science education, Catholic Education Melbourne (CEM) undertook a review of its existing teacher in-service professional development programs in science. This review led to some data analysis being conducted in relation to two of these programs where participant teachers were positioned as active learners undertaking critical reflection in relation to their science teaching practice. The conditions in these programs encouraged teachers to notice critical aspects of their teaching practice. The analysis illustrates that as teachers worked in this way, their understandings about effective science pedagogy began to shift, in particular, teachers recognised how their thinking not only influenced their professional practice but also ultimately shaped the quality of their students' learning. The data from these programs delivers compelling evidence of the learning experience from a teacher perspective. This article explores the impact of this experience on teacher thinking about the relationship between pedagogical choices and quality learning in science. The findings highlight that purposeful, teacher-centred in-service professional learning can significantly contribute to enabling teachers to think differently about science teaching and learning and ultimately become confident pedagogical leaders in science. The future of quality school-based science education therefore relies on a new vision for teacher professional learning, where practice explicitly recognises, values and attends to teachers as professionals and supports them to articulate and share the professional knowledge they have about effective science teaching practice.

Computer/Information Science

Science.gov (United States)

Birman, Ken; Roughgarden, Tim; Seltzer, Margo; Spohrer, Jim; Stolterman, Erik; Kearsley, Greg; Koszalka, Tiffany; de Jong, Ton

2013-01-01

Scholars representing the field of computer/information science were asked to identify what they considered to be the most exciting and imaginative work currently being done in their field, as well as how that work might change our understanding. The scholars included Ken Birman, Jennifer Rexford, Tim Roughgarden, Margo Seltzer, Jim Spohrer, and…

Towards a Serious Game to Help Students Learn Computer Programming

Directory of Open Access Journals (Sweden)

Mathieu Muratet

2009-01-01

Full Text Available Video games are part of our culture like TV, movies, and books. We believe that this kind of software can be used to increase students' interest in computer science. Video games with other goals than entertainment, serious games, are present, today, in several fields such as education, government, health, defence, industry, civil security, and science. This paper presents a study around a serious game dedicated to strengthening programming skills. Real-Time Strategy, which is a popular game genre, seems to be the most suitable kind of game to support such a serious game. From programming teaching features to video game characteristics, we define a teaching organisation to experiment if a serious game can be adapted to learn programming.

INFORMATION TECHNOLOGY USERS´ ABILITIES: A CASE STUDY ON COMPUTING LEARNING IN AN UNDERGRADUATE COURSE

Directory of Open Access Journals (Sweden)

Valéria Maria Martins Judice

2006-11-01

Full Text Available Literature review shows minimum ability levels of Information Technology (IT resources in use are currently essential to administrators and to professionals overall. As effective as Internet may be, new milestones for economic competition and company survival are being created. It is thus required that individual IT abilities are continuously reformulated to be adequately and creatively used, and new information sources and tools actively generated, rather than passively adopted. In evaluating the evolution of the IT abilities’ acquisition in Brazil, students of Business & Administration from a university are investigated. By means of questionnaire and in-depth interview application, data were collected on students’ perceptions of acquired abilities and importance of IT competencies. Together, computing science teachers and a course coordinator views were assessed. Empirical results obtained revealed that students' IT abilities were concentrated on basic computing science functions. The integration of IT learning in classroom practices was deemed poor as compared to importance attributed. Students signalized self-sufficiency or knowledge attitudes which, as tested, have not been actually proved. Low learning results were observed on IT conceptual knowledge, indicating students’ impatience with learning without interaction, as in long-text readings or teacher-centered classes. Strong student resistance to electronic commerce was evidenced and associated to perceived risks on IT evolution.

Cloud Computing Benefits for E-learning Solutions

OpenAIRE

Paul POCATILU

2010-01-01

E-learning systems usually require many hardware and software resources. There are many educational institutions that cannot afford such investments, and cloud computing is the best solution. This paper presents the impact on using cloud computing for e-learning solutions.

Examining Middle School Science Student Self-Regulated Learning in a Hypermedia Learning Environment through Microanalysis

Science.gov (United States)

Mandell, Brian E.

The purpose of the present embedded mixed method study was to examine the self-regulatory processes used by high, average, and low achieving seventh grade students as they learned about a complex science topic from a hypermedia learning environment. Thirty participants were sampled. Participants were administered a number of measures to assess their achievement and self-efficacy. In addition, a microanalytic methodology, grounded in Zimmerman's cyclical model of self-regulated learning, was used to assess student self-regulated learning. It was hypothesized that there would be modest positive correlations between Zimmerman's three phases of self-regulated learning, that high achieving science students would deploy more self-regulatory subprocesses than average and low achieving science students, that high achieving science students would have higher self-efficacy beliefs to engage in self-regulated learning than average and low achieving science students, and that low achieving science students would over-estimate their self-efficacy for performance beliefs, average achieving science students would slightly overestimate their self-efficacy for performance beliefs, and high achieving science students would under-estimate their self-efficacy for performance beliefs. All hypotheses were supported except for the high achieving science students who under-estimated their self-efficacy for performance beliefs on the Declarative Knowledge Measure and slightly overestimated their self-efficacy for performance beliefs on the Conceptual Knowledge Measure. Finally, all measures of self-regulated learning were combined and entered into a regression formula to predict the students' scores on the two science tests, and it was revealed that the combined measure predicted 91% of the variance on the Declarative Knowledge Measure and 92% of the variance on the Conceptual Knowledge Measure. This study adds hypermedia learning environments to the contexts that the microanalytic

The Conceptions of Learning Science by Laboratory among University Science-Major Students: Qualitative and Quantitative Analyses

Science.gov (United States)

Chiu, Yu-Li; Lin, Tzung-Jin; Tsai, Chin-Chung

2016-01-01

Background: The sophistication of students' conceptions of science learning has been found to be positively related to their approaches to and outcomes for science learning. Little research has been conducted to particularly investigate students' conceptions of science learning by laboratory. Purpose: The purpose of this research, consisting of…

The Role of Research on Science Teaching and Learning

Science.gov (United States)

National Science Teachers Association (NJ1), 2010

2010-01-01

Research on science teaching and learning plays an important role in improving science literacy, a goal called for in the National Science Education Standards (NRC 1996) and supported by the National Science Teachers Association (NSTA 2003). NSTA promotes a research agenda that is focused on the goal of enhancing student learning through effective…

NASA Center for Computational Sciences: History and Resources

Science.gov (United States)

2000-01-01

The Nasa Center for Computational Sciences (NCCS) has been a leading capacity computing facility, providing a production environment and support resources to address the challenges facing the Earth and space sciences research community.

Research in applied mathematics, numerical analysis, and computer science

Science.gov (United States)

1984-01-01

Research conducted at the Institute for Computer Applications in Science and Engineering (ICASE) in applied mathematics, numerical analysis, and computer science is summarized and abstracts of published reports are presented. The major categories of the ICASE research program are: (1) numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; (2) control and parameter identification; (3) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and (4) computer systems and software, especially vector and parallel computers.

Hispanic women overcoming deterrents to computer science: A phenomenological study

Science.gov (United States)

Herling, Lourdes

The products of computer science are important to all aspects of society and are tools in the solution of the world's problems. It is, therefore, troubling that the United States faces a shortage in qualified graduates in computer science. The number of women and minorities in computer science is significantly lower than the percentage of the U.S. population which they represent. The overall enrollment in computer science programs has continued to decline with the enrollment of women declining at a higher rate than that of men. This study addressed three aspects of underrepresentation about which there has been little previous research: addressing computing disciplines specifically rather than embedding them within the STEM disciplines, what attracts women and minorities to computer science, and addressing the issues of race/ethnicity and gender in conjunction rather than in isolation. Since women of underrepresented ethnicities are more severely underrepresented than women in general, it is important to consider whether race and ethnicity play a role in addition to gender as has been suggested by previous research. Therefore, this study examined what attracted Hispanic women to computer science specifically. The study determines whether being subjected to multiple marginalizations---female and Hispanic---played a role in the experiences of Hispanic women currently in computer science. The study found five emergent themes within the experiences of Hispanic women in computer science. Encouragement and role models strongly influenced not only the participants' choice to major in the field, but to persist as well. Most of the participants experienced a negative atmosphere and feelings of not fitting in while in college and industry. The interdisciplinary nature of computer science was the most common aspect that attracted the participants to computer science. The aptitudes participants commonly believed are needed for success in computer science are the Twenty

Cultural Stereotypes as Gatekeepers: Increasing Girls’ Interest in Computer Science and Engineering by Diversifying Stereotypes

Directory of Open Access Journals (Sweden)

Sapna eCheryan

2015-02-01

Full Text Available Despite having made significant inroads into many traditionally male-dominated fields (e.g., biology, chemistry, women continue to be underrepresented in computer science and engineering. We propose that students’ stereotypes about the culture of these fields—including the kind of people, the work involved, and the values of the field—steer girls away from choosing to enter these fields. Computer science and engineering are stereotyped in modern American culture as male-oriented fields that involve social isolation, an intense focus on machinery, and inborn brilliance. These stereotypes are more compatible with qualities that are typically valued in men than women. As a result, when computer science and engineering stereotypes are salient, girls report less interest in these fields than their male peers. However, altering these stereotypes—by broadening the representation of the people who do this work, the work itself, and the environments in which it occurs—significantly increases girls’ sense of belonging and interest in the field. Academic stereotypes thus serve as gatekeepers, driving girls away from certain fields and constraining their learning opportunities and career aspirations.

Cultural stereotypes as gatekeepers: increasing girls’ interest in computer science and engineering by diversifying stereotypes

Science.gov (United States)

Cheryan, Sapna; Master, Allison; Meltzoff, Andrew N.

2015-01-01

Despite having made significant inroads into many traditionally male-dominated fields (e.g., biology, chemistry), women continue to be underrepresented in computer science and engineering. We propose that students’ stereotypes about the culture of these fields—including the kind of people, the work involved, and the values of the field—steer girls away from choosing to enter them. Computer science and engineering are stereotyped in modern American culture as male-oriented fields that involve social isolation, an intense focus on machinery, and inborn brilliance. These stereotypes are compatible with qualities that are typically more valued in men than women in American culture. As a result, when computer science and engineering stereotypes are salient, girls report less interest in these fields than their male peers. However, altering these stereotypes—by broadening the representation of the people who do this work, the work itself, and the environments in which it occurs—significantly increases girls’ sense of belonging and interest in the field. Academic stereotypes thus serve as gatekeepers, driving girls away from certain fields and constraining their learning opportunities and career aspirations. PMID:25717308

Cultural stereotypes as gatekeepers: increasing girls' interest in computer science and engineering by diversifying stereotypes.

Science.gov (United States)

Cheryan, Sapna; Master, Allison; Meltzoff, Andrew N

2015-01-01

Despite having made significant inroads into many traditionally male-dominated fields (e.g., biology, chemistry), women continue to be underrepresented in computer science and engineering. We propose that students' stereotypes about the culture of these fields-including the kind of people, the work involved, and the values of the field-steer girls away from choosing to enter them. Computer science and engineering are stereotyped in modern American culture as male-oriented fields that involve social isolation, an intense focus on machinery, and inborn brilliance. These stereotypes are compatible with qualities that are typically more valued in men than women in American culture. As a result, when computer science and engineering stereotypes are salient, girls report less interest in these fields than their male peers. However, altering these stereotypes-by broadening the representation of the people who do this work, the work itself, and the environments in which it occurs-significantly increases girls' sense of belonging and interest in the field. Academic stereotypes thus serve as gatekeepers, driving girls away from certain fields and constraining their learning opportunities and career aspirations.

Molecular Science Computing: 2010 Greenbook

Energy Technology Data Exchange (ETDEWEB)

De Jong, Wibe A.; Cowley, David E.; Dunning, Thom H.; Vorpagel, Erich R.

2010-04-02

This 2010 Greenbook outlines the science drivers for performing integrated computational environmental molecular research at EMSL and defines the next-generation HPC capabilities that must be developed at the MSC to address this critical research. The EMSL MSC Science Panel used EMSL’s vision and science focus and white papers from current and potential future EMSL scientific user communities to define the scientific direction and resulting HPC resource requirements presented in this 2010 Greenbook.

Cloud computing and services science

NARCIS (Netherlands)

Ivanov, Ivan; van Sinderen, Marten J.; Shishkov, Boris

2012-01-01

This book is essentially a collection of the best papers of the International Conference on Cloud Computing and Services Science (CLOSER), which was held in Noordwijkerhout, The Netherlands on May 7–9, 2011. The conference addressed technology trends in the domain of cloud computing in relation to a

Classroom Preschool Science Learning: The Learner, Instructional Tools, and Peer-Learning Assignments

Science.gov (United States)

Reuter, Jamie M.

The recent decades have seen an increased focus on improving early science education. Goals include helping young children learn about pertinent concepts in science, and fostering early scientific reasoning and inquiry skills (e.g., NRC 2007, 2012, 2015). However, there is still much to learn about what constitutes appropriate frameworks that blend science education with developmentally appropriate learning environments. An important goal for the construction of early science is a better understanding of appropriate learning experiences and expectations for preschool children. This dissertation examines some of these concerns by focusing on three dimensions of science learning in the preschool classroom: (1) the learner; (2) instructional tools and pedagogy; and (3) the social context of learning with peers. In terms of the learner, the dissertation examines some dimensions of preschool children's scientific reasoning skills in the context of potentially relevant, developing general reasoning abilities. As young children undergo rapid cognitive changes during the preschool years, it is important to explore how these may influence scientific thinking. Two features of cognitive functioning have been carefully studied: (1) the demonstration of an epistemic awareness through an emerging theory of mind, and (2) the rapid improvement in executive functioning capacity. Both continue to develop through childhood and adolescence, but changes in early childhood are especially striking and have been neglected as regards their potential role in scientific thinking. The question is whether such skills relate to young children's capacity for scientific thinking. Another goal was to determine whether simple physics diagrams serve as effective instructional tools in supporting preschool children's scientific thinking. Specifically, in activities involving predicting and checking in scientific contexts, the question is whether such diagrams facilitate children's ability to

The effectivenes of science domain-based science learning integrated with local potency

Science.gov (United States)

Kurniawati, Arifah Putri; Prasetyo, Zuhdan Kun; Wilujeng, Insih; Suryadarma, I. Gusti Putu

2017-08-01

This research aimed to determine the significant effect of science domain-based science learning integrated with local potency toward science process skills. The research method used was a quasi-experimental design with nonequivalent control group design. The population of this research was all students of class VII SMP Negeri 1 Muntilan. The sample of this research was selected through cluster random sampling, namely class VII B as an experiment class (24 students) and class VII C as a control class (24 students). This research used a test instrument that was adapted from Agus Dwianto's research. The aspect of science process skills in this research was observation, classification, interpretation and communication. The analysis of data used the one factor anova at 0,05 significance level and normalized gain score. The significance level result of science process skills with one factor anova is 0,000. It shows that the significance level < alpha (0,05). It means that there was significant effect of science domain-based science learning integrated with local potency toward science learning process skills. The results of analysis show that the normalized gain score are 0,29 (low category) in control class and 0,67 (medium category) in experiment class.

10th International Symposium on Computer Science in Sports

CERN Document Server

Soltoggio, Andrea; Dawson, Christian; Meng, Qinggang; Pain, Matthew

2016-01-01

This book presents the main scientific results of the 10th International Symposium of Computer Science in Sport (IACSS/ISCSS 2015), sponsored by the International Association of Computer Science in Sport in collaboration with the International Society of Sport Psychology (ISSP), which took place between September 9-11, 2015 at Loughborough, UK. This proceedings aims to build a link between computer science and sport, and reports on results from applying computer science techniques to address a wide number of problems in sport and exercise sciences. It provides a good platform and opportunity for researchers in both computer science and sport to understand and discuss ideas and promote cross-disciplinary research. The strictly reviewed and carefully revised papers cover the following topics: Modelling and Analysis, Artificial Intelligence in Sport, Virtual Reality in Sport,  Neural Cognitive Training,  IT Systems for Sport, Sensing Technologies and Image Processing.

Archives: Journal of Computer Science and Its Application

African Journals Online (AJOL)

Items 1 - 9 of 9 ... Archives: Journal of Computer Science and Its Application. Journal Home > Archives: Journal of Computer Science and Its Application. Log in or Register to get access to full text downloads.

Summary of research in applied mathematics, numerical analysis and computer science at the Institute for Computer Applications in Science and Engineering

Science.gov (United States)

1984-01-01

Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science during the period October 1, 1983 through March 31, 1984 is summarized.

Common Core Science Standards: Implications for Students with Learning Disabilities

Science.gov (United States)

Scruggs, Thomas E.; Brigham, Frederick J.; Mastropieri, Margo A.

2013-01-01

The Common Core Science Standards represent a new effort to increase science learning for all students. These standards include a focus on English and language arts aspects of science learning, and three dimensions of science standards, including practices of science, crosscutting concepts of science, and disciplinary core ideas in the various…

Interactive Online Modules and Videos for Learning Geological Concepts at the University of Toronto Department of Earth Sciences

Science.gov (United States)

Veglio, E.; Graves, L. W.; Bank, C. G.

2014-12-01

We designed various computer-based applications and videos as educational resources for undergraduate courses at the University of Toronto in the Earth Science Department. These resources were developed in effort to enhance students' self-learning of key concepts as identified by educators at the department. The interactive learning modules and videos were created using the programs MATLAB and Adobe Creative Suite 5 (Photoshop and Premiere) and range from optical mineralogy (extinction and Becke line), petrology (equilibrium melting in 2-phase systems), crystallography (crystal systems), geophysics (gravity anomaly), and geologic history (evolution of Canada). These resources will be made available for students on internal course websites as well as through the University of Toronto Earth Science's website (www.es.utoronto.ca) where appropriate; the video platform YouTube.com may be used to reach a wide audience and promote the material. Usage of the material will be monitored and feedback will be collected over the next academic year in order to gage the use of these interactive learning tools and to assess if these computer-based applications and videos foster student engagement and active learning, and thus offer an enriched learning experience.

Applying the Science of Learning to the Learning of Science: Newton's Second Law of Motion

Science.gov (United States)

Lemmer, Miriam

2018-01-01

Science teaching and learning require knowledge about how learning takes place (cognition) and how learners interact with their surroundings (affective and sociocultural factors). The study reported on focussed on learning for understanding of Newton's second law of motion from a cognitive perspective that takes social factors into account. A…

Semiotics, Information Science, Documents and Computers.

Science.gov (United States)

Warner, Julian

1990-01-01

Discusses the relationship and value of semiotics to the established domains of information science. Highlights include documentation; computer operations; the language of computing; automata theory; linguistics; speech and writing; and the written language as a unifying principle for the document and the computer. (93 references) (LRW)

An investigation of factors related to self-efficacy for Java programming among computer science education students

Directory of Open Access Journals (Sweden)

Desmond Wesley Govender

2015-11-01

Full Text Available Students usually perceived computer programming courses as one of the most difficult courses since learning to program is perceived as a difficult task. Quite often students’ negative perceptions on computer programming results in poor results and high drop-out rates. The purpose of this study is to examine the impact of factors that affect computer science education students’ Java programming self-efficacy and the relationship between Java programming self-efficacy and students’ age and gender. A questionnaire was used to gather data. A scale with thirty-two items assessing Java programming self-efficacy was adapted from Askar and Davenport’s (2009 computer programming self-efficacy scale. A total of twenty students from a Computer Science Education Discipline participated in this study. Collected data were analysed using SPSS version 22.0. Descriptive statistics, reliability test, mean, standard deviation, and rotated component matrix were utilized to analyze the resulting data. Results indicated that there is not much difference between males (45% and females (55% Java programming self-efficacy. Furthermore, the results also indicated that programming skills and Java constructs have higher influence on the self-efficacy for Java programming among computer science education students followed by non-complexity, time consciousness, ability to recode for better understanding and self-motivation.

Understanding the Influence of Learners' Forethought on Their Use of Science Study Strategies in Postsecondary Science Learning

Science.gov (United States)

Dunn, Karee E.; Lo, Wen-Juo

2015-11-01

Understanding self-regulation in science learning is important for theorists and practitioners alike. However, very little has been done to explore and understand students' self-regulatory processes in postsecondary science courses. In this study, the influence of science efficacy, learning value, and goal orientation on the perceived use of science study strategies was explored using structural equation modeling. In addition, the study served to validate the first two stages of Zimmerman's cyclical model of self-regulation and to address the common methodological weakness in self-regulation research in which data are all collected at one point after the learning cycle is complete. Thus, data were collected across the learning cycle rather than asking students to reflect upon each construct after the learning cycle was complete. The findings supported the hypothesized model in which it was predicted that self-efficacy would significantly and positively influence students' perceived science strategy use, and the influence of students' valuation of science learning on science study strategies would be mediated by their learning goal orientation. The findings of the study are discussed and implications for undergraduate science instructors are proposed.

Science Hobbyists: Active Users of the Science-Learning Ecosystem

Science.gov (United States)

Corin, Elysa N.; Jones, M. Gail; Andre, Thomas; Childers, Gina M.; Stevens, Vanessa

2017-01-01

Science hobbyists engage in self-directed, free-choice science learning and many have considerable expertise in their hobby area. This study focused on astronomy and birding hobbyists and examined how they used organizations to support their hobby engagement. Interviews were conducted with 58 amateur astronomers and 49 birders from the midwestern…

The Importance of Computer Science for Public Health Training: An Opportunity and Call to Action.

Science.gov (United States)

Kunkle, Sarah; Christie, Gillian; Yach, Derek; El-Sayed, Abdulrahman M

2016-01-01

A century ago, the Welch-Rose Report established a public health education system in the United States. Since then, the system has evolved to address emerging health needs and integrate new technologies. Today, personalized health technologies generate large amounts of data. Emerging computer science techniques, such as machine learning, present an opportunity to extract insights from these data that could help identify high-risk individuals and tailor health interventions and recommendations. As these technologies play a larger role in health promotion, collaboration between the public health and technology communities will become the norm. Offering public health trainees coursework in computer science alongside traditional public health disciplines will facilitate this evolution, improving public health's capacity to harness these technologies to improve population health.

The Effect of a Graph-Oriented Computer-Assisted Project-Based Learning Environment on Argumentation Skills

Science.gov (United States)

Hsu, P. -S.; Van Dyke, M.; Chen, Y.; Smith, T. J.

2015-01-01

The purpose of this quasi-experimental study was to explore how seventh graders in a suburban school in the United States developed argumentation skills and science knowledge in a project-based learning environment that incorporated a graph-oriented, computer-assisted application. A total of 54 students (three classes) comprised this treatment…

Under-represented students' engagement in secondary science learning: A non-equivalent control group design

Science.gov (United States)

Vann-Hamilton, Joy J.

conducted. The reliability results prompted exploratory factory analyses, which resulted in two of the three subscale factors, cognitive and behavioral, being retained. One-within one-between subjects ANOVAs, independent samples t-test, and multiple linear regressions were also used to examine the impact of a multicultural science education, multimedia, and individual characteristics on students' engagement in science learning. Results. There were main effects found within subjects on posttest scores for the cognitive and behavioral subscales of student engagement. Both groups, using their respective versions of the multimedia science curriculum, reported increased engagement in science learning. There was also a statistical difference found for the experimental group at posttest on the measure of "online science was more interesting than school science." All five items unique to the posttest related to the multimedia variable were found to be significant predictors of cognitive and/or behavioral engagement. Conclusions. Engagement in science learning increased for both groups of participants; this finding is aligned with other significant research findings that more embracive and relevant pedagogies can potentially benefit all students. The significant difference found for the experimental group in relation to the multimedia usage was moderate and also may have reflected positive responses to other questions about the use of technology in science learning. As all five measures of multimedia usage were found to be significant predictors of student engagement in science learning, the indications were that: (a) technical difficulties did not impede engagement; (b) participants were better able to understand and visualize the physics concepts as they were presented in a variety of ways; (c) participants' abilities to use computers supported engagement; (d) participants in both groups found the online science curriculum more interesting compared to school science learning; and

Applied Mathematics, Modelling and Computational Science

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Kotsireas, Ilias; Makarov, Roman; Melnik, Roderick; Shodiev, Hasan

2015-01-01

The Applied Mathematics, Modelling, and Computational Science (AMMCS) conference aims to promote interdisciplinary research and collaboration. The contributions in this volume cover the latest research in mathematical and computational sciences, modeling, and simulation as well as their applications in natural and social sciences, engineering and technology, industry, and finance. The 2013 conference, the second in a series of AMMCS meetings, was held August 26–30 and organized in cooperation with AIMS and SIAM, with support from the Fields Institute in Toronto, and Wilfrid Laurier University. There were many young scientists at AMMCS-2013, both as presenters and as organizers. This proceedings contains refereed papers contributed by the participants of the AMMCS-2013 after the conference. This volume is suitable for researchers and graduate students, mathematicians and engineers, industrialists, and anyone who would like to delve into the interdisciplinary research of applied and computational mathematics ...

Enacting Informal Science Learning: Exploring the Battle for Informal Learning

Science.gov (United States)

Clapham, Andrew

2016-01-01

Informal Science Learning (ISL) is a policy narrative of interest in the United Kingdom and abroad. This paper explores how a group of English secondary school science teachers, enacted ISL science clubs through employing the Periodic Table of Videos. It examines how these teachers "battled" to enact ISL policy in performative conditions…

Graphical qualities of educational technology: Using drag-and-drop and text-based programs for introductory computer science.

Science.gov (United States)

DiSalvo, Betsy

2014-01-01

To determine appropriate computer science curricula, educators sought to better understand the different affordances of teaching with a visual programming language (Alice) or a text-based language (Jython). Although students often preferred one language, that language wasn't necessarily the one from which they learned the most.

Analysis of Sci-Hub downloads of computer science papers

Directory of Open Access Journals (Sweden)

Andročec Darko

2017-07-01

Full Text Available The scientific knowledge is disseminated by research papers. Most of the research literature is copyrighted by publishers and avail- able only through paywalls. Recently, some websites offer most of the recent content for free. One of them is the controversial website Sci-Hub that enables access to more than 47 million pirated research papers. In April 2016, Science Magazine published an article on Sci-Hub activity over the period of six months and publicly released the Sci-Hub’s server log data. The mentioned paper aggregates the view that relies on all downloads and for all fields of study, but these findings might be hiding interesting patterns within computer science. The mentioned Sci-Hub log data was used in this paper to analyse downloads of computer science papers based on DBLP’s list of computer science publications. The top downloads of computer science papers were analysed, together with the geographical location of Sci-Hub users, the most downloaded publishers, types of papers downloaded, and downloads of computer science papers per publication year. The results of this research can be used to improve legal access to the most relevant scientific repositories or journals for the computer science field.

Cross-Cultural Comparisons of University Students' Science Learning Self-Efficacy: Structural Relationships among Factors within Science Learning Self-Efficacy

Science.gov (United States)

Wang, Ya-Ling; Liang, Jyh-Chong; Tsai, Chin-Chung

2018-01-01

Science learning self-efficacy could be regarded as a multi-factor belief which comprises different aspects such as cognitive skills, practical work, and everyday application. However, few studies have investigated the relationships among these factors that compose science learning self-efficacy. Also, culture may play an important role in…

The Use of Mobile Learning in Science: A Systematic Review

Science.gov (United States)

Crompton, Helen; Burke, Diane; Gregory, Kristen H.; Gräbe, Catharina

2016-04-01

The use of mobile learning in education is growing at an exponential rate. To best understand how mobile learning is being used, it is crucial to gain a collective understanding of the research that has taken place. This systematic review reveals the trends in mobile learning in science with a comprehensive analysis and synthesis of studies from the year 2000 onward. Major findings include that most of the studies focused on designing systems for mobile learning, followed by a combination of evaluating the effects of mobile learning and investigating the affective domain during mobile learning. The majority of the studies were conducted in the area of life sciences in informal, elementary (5-11 years) settings. Mobile devices were used in this strand of science easily within informal environments with real-world connections. A variety of research methods were employed, providing a rich research perspective. As the use of mobile learning continues to grow, further research regarding the use of mobile technologies in all areas and levels of science learning will help science educators to expand their ability to embrace these technologies.

Computational thinking in life science education.

Science.gov (United States)

Rubinstein, Amir; Chor, Benny

2014-11-01

We join the increasing call to take computational education of life science students a step further, beyond teaching mere programming and employing existing software tools. We describe a new course, focusing on enriching the curriculum of life science students with abstract, algorithmic, and logical thinking, and exposing them to the computational "culture." The design, structure, and content of our course are influenced by recent efforts in this area, collaborations with life scientists, and our own instructional experience. Specifically, we suggest that an effective course of this nature should: (1) devote time to explicitly reflect upon computational thinking processes, resisting the temptation to drift to purely practical instruction, (2) focus on discrete notions, rather than on continuous ones, and (3) have basic programming as a prerequisite, so students need not be preoccupied with elementary programming issues. We strongly recommend that the mere use of existing bioinformatics tools and packages should not replace hands-on programming. Yet, we suggest that programming will mostly serve as a means to practice computational thinking processes. This paper deals with the challenges and considerations of such computational education for life science students. It also describes a concrete implementation of the course and encourages its use by others.

Computational thinking in life science education.

Directory of Open Access Journals (Sweden)

Amir Rubinstein

2014-11-01

Full Text Available We join the increasing call to take computational education of life science students a step further, beyond teaching mere programming and employing existing software tools. We describe a new course, focusing on enriching the curriculum of life science students with abstract, algorithmic, and logical thinking, and exposing them to the computational "culture." The design, structure, and content of our course are influenced by recent efforts in this area, collaborations with life scientists, and our own instructional experience. Specifically, we suggest that an effective course of this nature should: (1 devote time to explicitly reflect upon computational thinking processes, resisting the temptation to drift to purely practical instruction, (2 focus on discrete notions, rather than on continuous ones, and (3 have basic programming as a prerequisite, so students need not be preoccupied with elementary programming issues. We strongly recommend that the mere use of existing bioinformatics tools and packages should not replace hands-on programming. Yet, we suggest that programming will mostly serve as a means to practice computational thinking processes. This paper deals with the challenges and considerations of such computational education for life science students. It also describes a concrete implementation of the course and encourages its use by others.

Impact of Computer Aided Learning on Children with Specific Learning Disabilities