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Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 42-306
Full Name: KUOCHIANG WU
Position: Student
Age: ON
Sex: Male
Address: 40 ChungShan N. Rd., 3rd Sec, Taipei 104, Taiwan
Country: TAIWAN
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Title of the Paper: Intelligent Analysis on learning Path of e-learnin
Authors as they appear in the Paper: Jin-Cherng Lin, Kuo-Chiang Wu
Email addresses of all the authors: d9206006@gmail.com
Number of paper pages: 13
Abstract: Teacher is the center of teaching in classroom, students is passive to acquire knowledge, teacher and students must be in a same location while teaching, and teacher is to undertake the teaching and control its progress. However, e-learning is with students as the center, which means an individual is to learn independently without instruction of teacher. In e-learning, students must learn initiatively according to their own progress via computer and Internet. That is to say, students often handle content of course transmitted from far side in front of computer by themselves. In other words, students have to determine ¡§what to learn¡¨ and ¡§where to go¡¨ in each learning unit (or learning node), so, it relatively consumes mental and physical efforts during learning that results in cognitive overload, therefore, students are easy to feel anxious about e-learning content due to said cognitive overload. Purpose of this paper is to collect the learning behavior trace d!
uring e-learning, and then use intelligent analysis to discover strenuous place in the hyper-link of e-learning in order to avoid anxiety of e-learning. Here, intelligent analysis is different from Statistics analysis, because this paper is based on the algorithm of decision tree learning (the subfield of artificial intelligence), which can help us to induce some learning paths from the observation of e-learning behavior.
Keywords: e-learning, decision tree learning, ID 3 algorithm
EXTENSION of the file: .pdf
Special (Invited) Session: computer science education (especially in e-learning).
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