Use of artificial intelligence in highly adaptive exam e-revision systems

Chikwiriro, Hilton (2013) Use of artificial intelligence in highly adaptive exam e-revision systems.

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Official URL: http://hdl.handle.net/11196/328

Abstract

Effective revision is an ongoing process, not a cramming session just before the exams so as for the students to acquire knowledge because in an examination it is not about how much you know, but rather “when do you know it?” So there is great need to develop tools that can efficiently increase the knowledge retention levels. The Intelligent Revision System (IRS) is a revision and instant marking system tool derived from intelligent tutoring systems (ITSs). A fundamental tenet of its design is that,” ONE SIZE DOES NOT FIT ALL” as the learning process varies considerably from student to student. Hence, an IRS will behave like a real teacher would, identifying your strengths and weaknesses and deploying a revision approach which will best fit your revision profile and personality.

Item Type: Article
Uncontrolled Keywords: Artificial Intelligence, Expert systems, Knowledge base, Intelligent Tutoring Systems, Intelligent Revision Systems
Divisions: Universities > State Universities > Bindura University of Science Education
Depositing User: Mr. Edmore Sibanda
Date Deposited: 14 May 2018 09:05
Last Modified: 14 May 2018 09:05
URI: http://researchdatabase.ac.zw/id/eprint/6308

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