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Aleven, Vincent; McLaren, Bruce M.; Sewall, Jonathan; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2009
The Cognitive Tutor Authoring Tools (CTAT) support creation of a novel type of tutors called example-tracing tutors. Unlike other types of ITSs (e.g., model-tracing tutors, constraint-based tutors), example-tracing tutors evaluate student behavior by flexibly comparing it against generalized examples of problem-solving behavior. Example-tracing…
Descriptors: Feedback (Response), Student Behavior, Intelligent Tutoring Systems, Problem Solving
Kazi, Hameedullah; Haddawy, Peter; Suebnukarn, Siriwan – International Journal of Artificial Intelligence in Education, 2009
In well-defined domains such as Physics, Mathematics, and Chemistry, solutions to a posed problem can objectively be classified as correct or incorrect. In ill-defined domains such as medicine, the classification of solutions to a patient problem as correct or incorrect is much more complex. Typical tutoring systems accept only a small set of…
Descriptors: Foreign Countries, Problem Based Learning, Problem Solving, Correlation
Shuqun, Yang; Shuliang, Ding; Zhiqiang, Yao – International Journal of Distance Education Technologies, 2009
Cognitive diagnosis (CD) plays an important role in intelligent tutoring system. Computerized adaptive testing (CAT) is adaptive, fair, and efficient, which is suitable to large-scale examination. Traditional cognitive diagnostic test needs quite large number of items, the efficient and tailored CAT could be a remedy for it, so the CAT with…
Descriptors: Monte Carlo Methods, Distance Education, Adaptive Testing, Intelligent Tutoring Systems
Wahlstedt, Ari; Pekkola, Samuli; Niemela, Marketta – British Journal of Educational Technology, 2008
In this paper, it is argued that e-learning environments are currently more like "buildings", i.e., learning spaces, rather than "schools", i.e., places for learning. The concepts originated from architecture and urban design, where they are used both to distinguish static spaces from inhabited places, and more importantly, as design objectives.…
Descriptors: Distance Education, Virtual Classrooms, Electronic Learning, Educational Technology
Good, Judith; Howland, Katherine; Thackray, Liz – ALT-J: Research in Learning Technology, 2008
There is a growing use of immersive virtual environments for educational purposes. However, much of this activity is not yet documented in the public domain, or is descriptive rather than analytical. This paper presents a case study in which university students were tasked with building an interactive learning experience using Second Life as a…
Descriptors: Problem Based Learning, Virtual Classrooms, Learning Experience, Internet
Cuddy, Colleen – Computers in Libraries, 2006
Fans of mobile devices are everywhere, and they are using their PDAs, smart phones, and mobile phones to access Web-based content. Chances are that they are trying to access your library's Web site or find library-based content for their devices. In this article, the author presents some tips on how to serve those who wants to grab some fast info…
Descriptors: Internet, Web Sites, Programming, Library Services
Johnson, L.; Adams, S.; Cummins, M. – New Media Consortium, 2012
This paper reflects a multi-year collaborative effort between the New Media Consortium (NMC) and Griffith University to help inform Australian educational leaders about significant developments in technologies supporting teaching, learning, and research in tertiary education. The research underpinning the report makes use of the NMC's Delphi-based…
Descriptors: Foreign Countries, Educational Policy, Higher Education, Consortia
Blessing, Stephen B.; Gilbert, Stephen B.; Ourada, Stephen; Ritter, Steven – International Journal of Artificial Intelligence in Education, 2009
Intelligent Tutoring Systems (ITSs) that employ a model-tracing methodology have consistently shown their effectiveness. However, what evidently makes these tutors effective, the cognitive model embedded within them, has traditionally been difficult to create, requiring great expertise and time, both of which come at a cost. Furthermore, an…
Descriptors: Intelligent Tutoring Systems, Cognitive Processes, Models, Expertise
The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges
Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek – Interactive Learning Environments, 2009
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…
Descriptors: Models, Interaction, Educational Technology, Design Requirements
Christen, Amy – Techniques: Connecting Education and Careers (J1), 2009
Today's hyper-connected students live in a world of instant interpersonal communications and virtually infinite access to information and educational resources. But this networked world, and the powerful learning tools it offers, has yet to penetrate the typical classroom. In many ways educational institutions are spinning their curricular wheels,…
Descriptors: Educational Technology, Partnerships in Education, School Business Relationship, Program Descriptions
Crisp, Kevin M.; Jensen, Murray; Moore, Randy – Advances in Physiology Education, 2007
To generate motivation and promote the development of written communication skills, students in a freshman-level anatomy and physiology course for nonmajors created group webpages describing historically important diseases. After the groups had been formed, each individual was assigned specific components of the disease (e.g., causes or…
Descriptors: Physiology, Anatomy, Communication Skills, Computer System Design
Spitzer, Stephan; Brown, Stephen – Computers in Libraries, 2007
The Uniformed Services University of the Health Sciences, located on the National Naval Medical Center's campus in Bethesda, Maryland, is a medical education and research facility for the nation's military and public health community. In order to support its approximately 7,500 globally distributed users, the university's James A. Zimble Learning…
Descriptors: Electronic Libraries, Educational Resources, Medical Education, Learning Resources Centers
Sirohi, Vijayalaxmi – International Journal on E-Learning, 2007
The Internet has opened new ways of learning and has brought several advantages to computer-aided education. Global access, self-paced learning, asynchronous teaching, interactivity, and multimedia usage are some of these. Along with the advantages comes the challenge of designing the software using the available facilities. Integrating online…
Descriptors: Artificial Intelligence, Internet, Multimedia Instruction, Courseware
Peer reviewedOviatt, Sharon – Human-Computer Interaction, 1997
Analyzes interfaces supporting spoken, pen-based, and multimodal input for their effectiveness in interacting with interactive map systems. Results identified performance difficulties with speech-only map interactions that declined substantially when people could interact multimodally. Analyses also indicated that map displays can be structured to…
Descriptors: Computer Interfaces, Computer System Design, Interaction, Maps
Peer reviewedWinter, Christina S.; And Others – Journal of Instructional Psychology, 1996
Describes a study that designed and tested a system for determining when an instructor should make an intervention during computer-assisted instruction (CAI). A Markov matrix was established to define the transitional probabilities for progressing through a set of industrial training sessions using CAI. (Author/LRW)
Descriptors: Computer Assisted Instruction, Computer System Design, Industrial Training, Intervention

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