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Snow, Erica L. – International Educational Data Mining Society, 2015
Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Needs Assessment
Nussbaumer, Alexander; Hillemann, Eva-Catherine; Gütl, Christian; Albert, Dietrich – Journal of Learning Analytics, 2015
This paper presents a conceptual approach and a Web-based service that aim at supporting self-regulated learning in virtual environments. The conceptual approach consists of four components: 1) a self-regulated learning model for supporting a learner-centred learning process, 2) a psychological model for facilitating competence-based…
Descriptors: Competency Based Education, Virtual Classrooms, Self Management, Models
Ivanova, Malinka; Chatti, Mohamed Amine – Journal of Educational Technology Systems, 2011
The development of Personal Learning Environments (PLEs) is in the scope of research groups and educators aiming to propose suitable mechanisms for the organization of self-controlled and self-directed learning, providing students with tools and services for access to content and human intelligence inside and outside the educational institutions.…
Descriptors: Foreign Countries, Learner Controlled Instruction, Individualized Instruction, College Students
Stankov, Slavomir; Rosic, Marko; Zitko, Branko; Grubisic, Ani – Computers & Education, 2008
Special classes of asynchronous e-learning systems are the intelligent tutoring systems which represent an advanced learning and teaching environment adaptable to individual student's characteristics. Authoring shells have an environment that enables development of the intelligent tutoring systems. In this paper we present, in entirety, for the…
Descriptors: Elementary Secondary Education, Intelligent Tutoring Systems, Artificial Intelligence, Tutoring
Tseng, Shian-Shyong; Su, Jun-Ming; Hwang, Gwo-Jen; Hwang, Gwo-Haur; Tsai, Chin-Chung; Tsai, Chang-Jiun – Educational Technology & Society, 2008
The popularity of web-based learning systems has encouraged researchers to pay attention to several new issues. One of the most important issues is the development of new techniques to provide personalized teaching materials. Although several frameworks or methods have been proposed, it remains a challenging issue to design an easy-to-realize…
Descriptors: Computer Assisted Instruction, Educational Technology, Individualized Instruction, Intelligent Tutoring Systems
Marinov, Milko; Zhelyaskova, Irina – Interactive Learning International, 1992
Considers the possibility of designing CAI (computer-assisted instruction) systems that are managed by semantic networks. Topics discussed include general descriptions of the suggested approach, lesson-presentation modes, and the architecture of a CAI system managed by a semantic network. (10 references) (MES)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Software Development, Computer System Design
Gordonov, Anatoliy; Kress, Michael; Klibaner, Roberta – 1998
This paper presents a model of an intelligent computer network that provides real-time evaluation of students' performance by incorporating intelligence into the application layer protocol. Specially designed drills allow students to independently solve a number of problems based on current lecture material; students are switched to the most…
Descriptors: Academic Achievement, Algorithms, Computer Assisted Instruction, Computer Managed Instruction
Rehak, Daniel R. – 1997
The goal of the Carnegie Mellon Online project is to build an infrastructure for delivery of courses via the World Wide Web. The project aims to deliver educational content and to assess student competency in support of courses across the Carnegie Mellon University (Pennsylvania) curriculum and beyond, thereby providing an asynchronous,…
Descriptors: Computer Interfaces, Computer Science Education, Computer System Design, Computer Uses in Education
Karampiperis, Pythagoras; Sampson, Demetrios – Educational Technology & Society, 2005
Adaptive learning resources selection and sequencing is recognized as among the most interesting research questions in adaptive educational hypermedia systems (AEHS). In order to adaptively select and sequence learning resources in AEHS, the definition of adaptation rules contained in the Adaptation Model, is required. Although, some efforts have…
Descriptors: Methods, Educational Resources, Models, Individualized Instruction

Barker, Philip – Educational and Training Technology International, 1990
Describes multimedia, computer-based interactive learning systems that support various forms of individualized study. Highlights include design models; user interfaces; design guidelines; media utilization paradigms, including hypermedia and learner-controlled models; metaphors and myths; authoring tools; optical media; workstations; four case…
Descriptors: Authoring Aids (Programing), Case Studies, Computer Assisted Instruction, Computer System Design
Papasalouros, Andreas; Retalis, Symeon; Papaspyrou, Nikolaos – Educational Technology & Society, 2004
The role of conceptual modeling in Educational Adaptive Hypermedia Applications (EAHA) is especially important. A conceptual model of an educational application depicts the instructional solution that is implemented, containing information about concepts that must be ac-quired by learners, tasks in which learners must be involved and resources…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Educational Technology