WAQS: Web based adaptive quiz system

Baharum, Maimnah (2007) WAQS: Web based adaptive quiz system. Masters thesis, University of Malaya.

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This research describes a web-based quiz system with an added adaptive feature. In the past, traditional quiz is done using paper and pencil. With the growth of technology, quiz can be done via the Internet. Neither the traditional quiz nor online quiz, provides adaptive feature. With ‘adaptive’ capability, quizzes become more personalized as the question presented are specifically model or designed for students according to their level of proficiency. With this, student will get to know their strength and weaknesses in their study as they will not move to a higher level of difficulty if they fail to score a certain rate. Realizing the importance and the benefits of the adaptive quizzes as compared to traditional or online quizzes, this research is carried out to focus on the main components of adaptive features, the technique to implement the adaptive components and also to review on current adaptive quiz systems. A comparative study among the current adaptive systems is done to identify the adaptive components that they applied, the techniques to implement the adaptive components and also the available features. The result of the comparative study becomes a baseline to develop an adaptive quiz system called ‘Web-based Adaptive System’ (WAQS). WAQS is an adaptive quiz system for student self-assessment with three main components: Student Model, Domain Model and Adaptation Model. Student model describes the student’s knowledge, domain model represents the teaching domain or the representation of the student model, while adaptation model consists of a set of rules that defines the user’s action. The Stereotypes and Overlay Model techniques are applied to model the WAQS student’s knowledge, the Semantic Network is applied to model the WAQS Domain Knowledge and the ‘IF-THEN’ rules is applied to model the WAQS Adaptation Model. WAQS use object oriented approached.

Item Type: Thesis (Masters)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Date Deposited: 10 Jul 2013 06:26
Last Modified: 10 Jul 2013 06:26
URI: http://repository.um.edu.my/id/eprint/97

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