Dynamic Educational e-Content Selection Using Multiple Criteria in Web-Based Personalized Learning Environments.
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| Title: | Dynamic Educational e-Content Selection Using Multiple Criteria in Web-Based Personalized Learning Environments. |
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| Language: | English |
| Authors: | Manouselis, Nikos, Sampson, Demetrios |
| Availability: | Association for the Advancement of Computing in Education (AACE), P.O. Box 3728, Norfolk, VA 23514. Tel: 757-623-7588; e-mail: info@aace.org; Web site: http://www.aace.org/DL/. |
| Peer Reviewed: | N |
| Page Count: | 7 |
| Publication Date: | 2002 |
| Document Type: | Reports - Research Speeches/Meeting Papers |
| Descriptors: | Cognitive Style, Computer Assisted Instruction, Course Content, Data Collection, Decision Making, Decision Support Systems, Educational Environment, Instructional Materials, Media Selection, World Wide Web |
| Geographic Terms: | Greece |
| Abstract: | This paper focuses on the way a multi-criteria decision making methodology is applied in the case of agent-based selection of offered learning objects. The problem of selection is modeled as a decision making one, with the decision variables being the learner model and the learning objects' educational description. In this way, selection of educational content is based on dynamic data input collected at the time of the decision. This methodology is studied in the context of an agent-based emarket for educational content brokering, and is engaged by the broker agents recommending learning objects to learners, according to their cognitive style. (Contains 13 references, 3 tables, and 1 figure.) (Author) |
| Notes: | In: ED-MEDIA 2002 World Conference on Educational Multimedia, Hypermedia & Telecommunications. Proceedings (14th, Denver, Colorado, June 24-29, 2002); see IR 021 687. |
| Journal Code: | RIEJAN2004 |
| Entry Date: | 2004 |
| Accession Number: | ED477061 |
| Database: | ERIC |
| Abstract: | This paper focuses on the way a multi-criteria decision making methodology is applied in the case of agent-based selection of offered learning objects. The problem of selection is modeled as a decision making one, with the decision variables being the learner model and the learning objects' educational description. In this way, selection of educational content is based on dynamic data input collected at the time of the decision. This methodology is studied in the context of an agent-based emarket for educational content brokering, and is engaged by the broker agents recommending learning objects to learners, according to their cognitive style. (Contains 13 references, 3 tables, and 1 figure.) (Author) |
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