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Lee, Chien-Sing – Computers & Education, 2007
Models represent a set of generic patterns to test hypotheses. This paper presents the CogMoLab student model in the context of an integrated learning environment. Three aspects are discussed: diagnostic and predictive modeling with respect to the issues of credit assignment and scalability and compositional modeling of the student profile in the…
Descriptors: Intelligent Tutoring Systems, Distance Education, Integrated Learning Systems, Hypermedia
Wijekumar, K. K. – Journal of Educational Technology Systems, 2007
Technologies for learning environments are a vital and growing market for software development and utilization. A team of designers and developers created a Web-based intelligent tutoring system to teach a reading comprehension strategy for elementary and middle school students. Our approach to designing ITSS combined the waterfall method of…
Descriptors: Internet, Elementary Secondary Education, Educational Technology, Tutoring
Sykes, Edward – Journal of Interactive Learning Research, 2007
The Java Intelligent Tutoring System (JITS) was designed and developed to support the growing trend of Java programming around the world. JITS is an advanced web-based personalized tutoring system that is unique in several ways. Most programming Intelligent Tutoring Systems require the teacher to author problems with corresponding solutions. JITS,…
Descriptors: Programming, Tutoring, Intelligent Tutoring Systems, Interviews
Project Tomorrow, 2012
For the past nine years, the Speak Up National Research Project has endeavored to stimulate new discussions around how technology tools and services can transform education and to provide a context to help educators, parents, and policy and business leaders think beyond today and envision tomorrow. In last year's report, "The New 3E's of…
Descriptors: Internet, Stakeholders, Learner Controlled Instruction, Computer Use
Peer reviewedSolomos, Konstantinos; Avouris, Nikolaos – Journal of Interactive Learning Research, 1999
Describes an open distributed multi-agent tutoring system (MATS) and discusses issues related to learning in such open environments. Topics include modeling a one student-many teachers approach in a computer-based learning context; distributed artificial intelligence; implementation issues; collaboration; and user interaction. (Author/LRW)
Descriptors: Artificial Intelligence, Educational Environment, Intelligent Tutoring Systems, Interaction
Peer reviewedDang, Trang; Ghenniwa, Hamada; Kamel, Mohamed – Journal of Interactive Learning Research, 1999
Proposes an interface agent for intelligent tutoring systems that creates a collaborative learning environment between the learner and the tutoring software. Describes implementation of a prototype using the IBM Agent Builder Environment Toolkit to use with an intelligent tutoring system for algebra and considers benefits in a lifelong learning…
Descriptors: Algebra, Computer Interfaces, Educational Environment, Intelligent Tutoring Systems
Peer reviewedMerrill, M. David – Instructional Science, 1998
Describes ID Expert, an intelligent computer-based multimedia interactive instructional development and delivery system. Topics include instructional transactions with built-in instructional design; knowledge bases and knowledge representation; automated instructional design; and similarities to GTE (Generic Tutoring Environment). (Author/LRW)
Descriptors: Automation, Instructional Design, Intelligent Tutoring Systems, Knowledge Representation
Buzzi, Marina, Ed. – InTech, 2010
E-Learning is a vast and complex research topic that poses many challenges in every aspect: educational and pedagogical strategies and techniques and the tools for achieving them; usability, accessibility and user interface design; knowledge sharing and collaborative environments; technologies, architectures, and protocols; user activity…
Descriptors: Cartoons, Foreign Countries, Electronic Learning, Distance Education
Krusberg, Zosia A. C. – Journal of Science Education and Technology, 2007
Three emerging technologies in physics education are evaluated from the interdisciplinary perspective of cognitive science and physics education research. The technologies--Physlet Physics, the Andes Intelligent Tutoring System (ITS), and Microcomputer-Based Laboratory (MBL) Tools--are assessed particularly in terms of their potential at promoting…
Descriptors: Intelligent Tutoring Systems, Physics, Science Laboratories, Educational Technology
Huang, Chenn-Jung; Liu, Ming-Chou; Chu, San-Shine; Cheng, Chih-Lun – Computers and Education, 2007
This work proposes an intelligent learning diagnosis system that supports a Web-based thematic learning model, which aims to cultivate learners' ability of knowledge integration by giving the learners the opportunities to select the learning topics that they are interested, and gain knowledge on the specific topics by surfing on the Internet to…
Descriptors: Web Based Instruction, Intelligent Tutoring Systems, Courseware, Internet
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Steinberg, Linda S.; Gitomer, Drew H. – 1992
A model of the interface design process is proposed that makes use of two interdependent levels of cognitive analysis: the study of the criterion task through an analysis of expert/novice differences and the evaluation of the working user interface design through the application of a practical interface analysis methodology (GOMS model). This dual…
Descriptors: Cognitive Processes, Computer Interfaces, Hydraulics, Intelligent Tutoring Systems
Shute, Valerie J. – 1994
For an intelligent tutoring system (ITS) to earn its "I", it must be able to (1) accurately diagnose students' knowledge structures, skills, and/or learning styles using principles, rather than pre-programmed responses, to decide what to do next; and (2) adapt instruction accordingly. While some maintain that remediation actually…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Knowledge Representation, Models
Peer reviewedSchwarz, Baruch; Zehavi, Nurit – Journal of Research on Computing in Education, 1996
Discussion of the nature of the algebraic and graphical representations of functions focuses on a study integrating cognitive research and the development of an intelligent tutoring system (ITS), the Function Characteristics Tutor, to evaluate the effects of pairing representations of mathematical functions on high school students. (Author/LRW)
Descriptors: Algebra, Functions (Mathematics), Graphs, Intelligent Tutoring Systems
Peer reviewedBaffes, Paul; Mooney, Raymond – Journal of Artificial Intelligence in Education, 1996
Discussion of student modeling and intelligent tutoring systems focuses on the development of the ASSERT algorithm (Acquiring Stereotypical Student Errors by Refining Theories). Topics include overlay modeling; bug libraries (databases of student misconceptions); dynamic modeling; refinement-based modeling; and experimental results from tests at…
Descriptors: Algorithms, Databases, Error Correction, Higher Education

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