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del Blanco, Angel; Torrente, Javier; Moreno-Ger, Pablo; Fernandez-Manjon, Baltasar – International Journal of Distance Education Technologies, 2010
The increasing adoption of e-Learning technology is facing new challenges, such as how to produce student-centered systems that can be adapted to each student's needs. In this context, educational video games are proposed as an ideal medium to facilitate adaptation and tracking of students' performance for assessment purposes, but integrating the…
Descriptors: Foreign Countries, Electronic Learning, Intelligent Tutoring Systems, Educational Games
Ben-Naim, Dror; Bain, Michael; Marcus, Nadine – International Working Group on Educational Data Mining, 2009
It has been recognized that in order to drive Intelligent Tutoring Systems (ITSs) into mainstream use by the teaching community, it is essential to support teachers through the entire ITS process: Design, Development, Deployment, Reflection and Adaptation. Although research has been done on supporting teachers through design to deployment of ITSs,…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Computer System Design, Computer Managed Instruction
Dag, Funda; Erkan, Kadir – Online Submission, 2007
In this work is proposed that an adaptation tool that is for the automatic generation and personalization of courses of a general-purpose LCMS that is named A Tutor. A Tutor is a Learning Content Management System. The architecture of the adaptation tool that allows a personalized sequencing of LOs in A Tutor for the learner's learning goals,…
Descriptors: Computer Managed Instruction, Intelligent Tutoring Systems, Sequential Learning, Concept Mapping
Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Hord, Casey – International Working Group on Educational Data Mining, 2009
This paper proposes a learning based method that can automatically determine how likely a student is to give a correct answer to a problem in an intelligent tutoring system. Only log files that record students' actions with the system are used to train the model, therefore the modeling process doesn't require expert knowledge for identifying…
Descriptors: Programming, Evidence, Intelligent Tutoring Systems, Regression (Statistics)
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Akhras, Fabio N.; Self, John A. – Instructional Science, 2002
Presents an architecture of an intelligent system to support learning that is able to address the issues that arise from constructivist theories of learning in a way that, rather than opposing to the standard intelligent tutoring system architecture, characterizes a broader view in all its components which can be appropriately attuned to address…
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Computer System Design, Constructivism (Learning)
Baylor, Amy – 1999
This paper describes preliminary work on "Multiple Intelligent Mentors Instructing Collaboratively" (MIMIC), an intelligent Web-based agent environment for learning instructional design. The focus is on developing theoretical foundations of instructional design and instructional theory that form the foundation for systems development. In the…
Descriptors: Artificial Intelligence, Computer Managed Instruction, Computer System Design, Computer Uses in Education
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries