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Data mining for providing a personalized learning path in creativity: An application of decision trees. Presenter : CHANG, SHIH-JIE Authors : Chun Fu Lin , Yu- chu Yeh , Yu Hsin Hung, Ray I Chang 2013.CE. Outlines. Motivation Objectives Methodology Experiments Conclusions
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Data mining for providing a personalized learning path in creativity: An application of decision trees Presenter : CHANG, SHIH-JIE Authors : Chun Fu Lin, Yu-chuYeh, Yu Hsin Hung, Ray I Chang 2013.CE.
Outlines • Motivation • Objectives • Methodology • Experiments • Conclusions • Comments
Motivation Traditional Web-based learning systems neglect the customization of learning materials to the learners’ needs. Routine learning materials and paths might not meet the learners’ needs.
Objectives • Developing a personalized creativity learning system (PCLS) to provide adaptive learning paths for learners with varied backgrounds and personal traits.
Methodology- Agent structures Feature selection Decision tree algorithm
Methodology - Creativity Game Agent (1)The living room(2)The kitchen (3) The bathroom
Conclusions • The system helps learners to choose their optimal learning pathand helps teachers to understand the cognitive process of learners, to allow them to adapt their teaching behavior efficiently.
Comments • Advantages • To enhance the learning effectiveness and learning efficiency. • Applications • Teaching and learning strategies.