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https://ah.lib.nccu.edu.tw/handle/140.119/65048
題名: | Data mining for providing a personalized learning path in creativity: An application of decision trees | 作者: | Lin, Chun Fu ; Yeh, Yu-chu ; Hung, Yu Hsin ; Chang, Ray I | 貢獻者: | 師培中心 | 關鍵詞: | Intelligent tutoring systems; Architectures for educational technology systems; Teaching/learning strategies | 日期: | 2013 | 上傳時間: | 31-Mar-2014 | 摘要: | 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. | 關聯: | Computers & Education,68, 199-210 | 資料類型: | article | DOI: | http://dx.doi.org/10.1016/j.compedu.2013.05.009 |
Appears in Collections: | 期刊論文 |
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