Data mining for providing a personalized learning path in creativity: An application of decision trees

  • Authors:

  • Chun Fu Lin;Yu-Chu Yeh;Yu Hsin Hung;Ray I Chang

  • Affiliations:

  • Department of Engineering Science and Ocean Engineering, National Taiwan University, 1, Roosevelt Road, Sec. 4, Taipei, 106, Taiwan, ROC;Institute of Teacher Education/ Research Center for Mind, Brain & Learning, Center for Creativity and Innovation Studies, National Chengchi University, 64, Chih-nan Road, Sec. 2, Taipei 116, Taiwa ...;Information Techonology Office, National Taiwan University Hospital, No.7, Chung Shan S. Rd., Taipei 10002, Taiwan, ROC;Department of Engineering Science and Ocean Engineering, National Taiwan University, 1, Roosevelt Road, Sec. 4, Taipei, 106, Taiwan, ROC

  • Venue:
  • Computers & Education
  • Year:
  • 2013

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Abstract

Customizing a learning environment to optimize personal learning has recently become a popular trend in e-learning. Because creativity has become an essential skill in the current e-learning epoch, this study aims to develop a personalized creativity learning system (PCLS) that is based on the data mining technique of decision trees to provide personalized learning paths for optimizing the performance of creativity. The PCLS includes a series of creativity tasks as well as a questionnaire regarding several key variables. Ninety-two college students were included in this study to examine the effectiveness of the PCLS. The experimental results show that, when the learning path suggested by a hybrid decision tree is employed, the learners have a 90% probability of obtaining an above-average creativity score, which suggests that the employed data mining technique can be a good vehicle for providing adaptive learning that is related to creativity. Moreover, the findings in this study shed light on what components should be accounted for when designing a personalized creativity learning system as well as how to integrate personalized learning and game-based learning into a creative learning program to maximize learner motivation and learning effects.