Integrated introspective case-based reasoning for intelligent tutoring systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many intelligent tutoring systems (ITSs) have been developed, deployed, assessed, and proven to facilitate learning. However, most of these systems do not generally adapt to new circumstances, do not self-evaluate and self-configure their own strategies, and do not monitor the usage history of the learning content being delivered or presented to the students. These shortcomings force ITS developers to often spend much development time in manual revision and finetuning of the learning and instructional contents of an ITS. In this paper, we describe an intelligent agent that delivers learning material adaptively to different students, factoring in the usage history of the learning materials and student profiles as observed by the agent. Student-tutor interaction includes the activities of going through learning material, such as a topical tutorial, a set of examples, and a set of problems. Our assumption is that our agent will be able to capture and utilize these student activities as the primer to select the appropriate examples or problems to administer to the student. Using an integrated introspective case-based reasoning approach, our agent further learns from its experience and refines its reasoning process - including the instructional strategies - to adapt to student needs. Moreover, our agent monitors the usage history of the learning materials to improve its performance. We have built an end-to-end ITS using an agent powered by this integrated introspective case-based reasoning engine. We have deployed the ITS in a CS course. Results indicate that the ITS was able to learn to deliver more appropriate examples and problems to the students.

Original languageEnglish (US)
Title of host publicationAAAI-07/IAAI-07 Proceedings
Subtitle of host publication22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
Pages1566-1571
Number of pages6
StatePublished - Nov 28 2007
EventAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference - Vancouver, BC, Canada
Duration: Jul 22 2007Jul 26 2007

Publication series

NameProceedings of the National Conference on Artificial Intelligence
Volume2

Conference

ConferenceAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
CountryCanada
CityVancouver, BC
Period7/22/077/26/07

Fingerprint

Case based reasoning
Intelligent systems
Students
Intelligent agents
Engines

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Soh, L-K. (2007). Integrated introspective case-based reasoning for intelligent tutoring systems. In AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference (pp. 1566-1571). (Proceedings of the National Conference on Artificial Intelligence; Vol. 2).

Integrated introspective case-based reasoning for intelligent tutoring systems. / Soh, Leen-Kiat.

AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference. 2007. p. 1566-1571 (Proceedings of the National Conference on Artificial Intelligence; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Soh, L-K 2007, Integrated introspective case-based reasoning for intelligent tutoring systems. in AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference. Proceedings of the National Conference on Artificial Intelligence, vol. 2, pp. 1566-1571, AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference, Vancouver, BC, Canada, 7/22/07.
Soh L-K. Integrated introspective case-based reasoning for intelligent tutoring systems. In AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference. 2007. p. 1566-1571. (Proceedings of the National Conference on Artificial Intelligence).
Soh, Leen-Kiat. / Integrated introspective case-based reasoning for intelligent tutoring systems. AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference. 2007. pp. 1566-1571 (Proceedings of the National Conference on Artificial Intelligence).
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