Abstract
In designing e-learning, it is desirable that individual learner’s learning style is considered. This study proposes a way to present the information about the expected adaptability of the course, in which a student wishes to enroll, based on the student’s responses to the learning preference questionnaire administered at the beginning of the course. As the result of applying the real data to the model derived, it was confirmed that it would be possible to estimate the course adaptability before taking the course and to provide the information for the student to improve his/her course adaptability based on the student’s responses to the learning preference questionnaire.
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Nishino, K., NanakoTakata, Iribe, Y., Mizuno, S., Aoki, K., Fukumura, Y. (2011). Developing a Method of Recommending E-Learning Courses Based on Students’ Learning Preferences. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23854-3_58
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DOI: https://doi.org/10.1007/978-3-642-23854-3_58
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