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

MotivationObjectivesMethodologyExperimentsConclusionsComments

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

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.