Intelligent Database Systems Lab Presenter : CHANG, SHIH-JIE Authors : Chun Fu Lin, Yu-chu Yeh, Yu Hsin Hung, Ray I Chang 2013.CE. Data mining for providing a personalized learning path in creativity: An application of decision trees

Intelligent Database Systems Lab Outlines Motivation Objectives Methodology Experiments Conclusions Comments

Intelligent Database Systems Lab 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.

Intelligent Database Systems Lab Objectives Developing a personalized creativity learning system (PCLS) to provide adaptive learning paths for learners with varied backgrounds and personal traits.

Intelligent Database Systems Lab

The framework of PCLS  

Intelligent Database Systems Lab Methodology

Intelligent Database Systems Lab Methodology- Agent structures     Feature selection Decision tree algorithm

Intelligent Database Systems Lab Methodology - Creativity Game Agent (1)The living room(2)The kitchen (3) The bathroom

Intelligent Database Systems Lab Methodology – Collecting data

Intelligent Database Systems Lab Experiments – Gain ratio result

Intelligent Database Systems Lab Experiments-Analyzing the decision tree model

Intelligent Database Systems Lab Experiments

Intelligent Database Systems Lab Experiments

Intelligent Database Systems Lab Conclusions –The system helps learners to choose their optimal learning path and helps teachers to understand the cognitive process of learners, to allow them to adapt their teaching behavior efficiently.

Intelligent Database Systems Lab Comments Advantages –To enhance the learning effectiveness and learning efficiency. Applications –Teaching and learning strategies.