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ERIC Number: EJ829795
Record Type: Journal
Publication Date: 2009-May
Pages: 19
Abstractor: As Provided
Reference Count: 48
ISSN: ISSN-0360-1315
Factors Influencing the Performance of Dynamic Decision Network for INQPRO
Ting, Choo-Yee; Phon-Amnuaisuk, Somnuk
Computers & Education, v52 n4 p762-780 May 2009
There has been an increasing interest in employing decision-theoretic framework for learner modeling and provision of pedagogical support in Intelligent Tutoring Systems (ITSs). Much of the existing learner modeling research work focuses on identifying appropriate learner properties. Little attention, however, has been given to leverage Dynamic Decision Network (DDN) as a "dynamic" learner model to reason and intervene across time. Employing a DDN-based learner model in a scientific inquiry learning environment, however, remains at infant stage because there are factors contributed to the performance the learner model. Three factors have been identified to influence the matching accuracy of INQPRO's learner model. These factors are "the structure of DDN model, the variable instantiation approach", and "the weights assignment method for two consecutive Decision Networks" (DNs). In this research work, a two-phase empirical study involving 107 learners and six domain experts was conducted to determine the optimal conditions for the INQPRO's "dynamic" learner model. The empirical results suggested each time-slice of the INQPRO's DDN should consist of a DN, and that DN should correspond to the Graphical User Interface (GUI) accessed. In light of "evidence, observable" variables should be instantiated to their "observed states"; leaving the remaining "observable" nodes uninstantiated. The empirical results also indicated that "varying" weights between two consecutive DNs could optimize the matching accuracy of INQPRO's "dynamic" learner model. (Contains 10 tables and 17 figures.)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A