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Title:
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K-TIPS: KNOWLEDGE EXTENSION BASED ON TAILOR-MADE INFORMATION PROVISION SYSTEM |
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Author(s):
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Keita Nakayama, Atsushi Shimada, Tsubasa Minematsu, Yuta Taniguchi and Rin-Ichiro Taniguchi |
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ISBN:
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978-989-8533-93-7 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler, Pedro Isaías and Maria Lidia Mascia |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Education Improvement, Recommendation, Learning Analytics, Learning Log |
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Type:
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Full Paper |
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First Page:
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355 |
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Last Page:
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362 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Thanks to an increase in the amount of information on the Internet and the spread of ICT-supported educational
environments, much attention has been paid to learning support based on smart recommendation technologies. In this
study, we propose an education improvement model based on the recommender system using the human-in-the-loop
design strategy. Our proposed model enhances not only learners via recommendation, but also teachers and the system
itself through the interaction between teachers and the system. In this paper, we introduce the details of the proposed
model and implementation strategy followed by a report of preliminary experimental results. |
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