Using a Summarized Lecture Material Recommendation System to Enhance Students' Preclass Preparation in a Flipped Classroom.

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Title: Using a Summarized Lecture Material Recommendation System to Enhance Students' Preclass Preparation in a Flipped Classroom.
Authors: Yang, Christopher C. Y.1 yang.yuan.57e@st.kyoto-u.ac.jp, Chen, Irene Y. L.2 irene@cc.ncue.edu.tw, Akçapınar, Gökhan3 gokhanakcapinar@gmail.com, Flanagan, Brendan4 flanagan.brendanjohn.4n@kyoto-u.ac.jp, Ogata, Hiroaki4 hiroaki.ogata@gmail.com
Source: Educational Technology & Society. Apr2021, Vol. 24 Issue 2, p1-13. 13p.
Subject Terms: *Flipped classrooms, *Student response systems, Recommender systems
Abstract: Research has revealed the positive effects of flipped classroom approaches on students' learning engagement and performance compared with conventional lecture-based classrooms. However, because of a lack of out-of-class learning support, many students fail to comprehensively prepare the provided lecture materials before class. One promising solution to this problem is recommendation systems in the educational area, which have been instrumental in helping learners identify useful and relevant lecture materials that satisfy their learning needs. Thus, in this study, we propose a summarized lecture material recommendation system, which is integrated into an e-book reading system as an enhancement of the flipped classroom approach. This system helps students identify pages that contain essential knowledge that must be thoroughly studied before class. The proposed system was constructed on the basis of our previous work. In this study, a quasi-experiment was conducted in a graduate course that implemented the flipped classroom model: experimental group students learned with the proposed system, whereas the control group students had no access to the additional features. The findings of this study suggest that students who learn with the proposed recommendation system significantly outperform those who learn without the system in a flipped classroom in terms of their learning outcomes and engagement in preclass preparation. [ABSTRACT FROM AUTHOR]
Copyright of Educational Technology & Society is the property of International Forum of Educational Technology & Society (IFETS) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Using a Summarized Lecture Material Recommendation System to Enhance Students' Preclass Preparation in a Flipped Classroom.
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Christopher+C%2E+Y%2E%22">Yang, Christopher C. Y.</searchLink><relatesTo>1</relatesTo><i> yang.yuan.57e@st.kyoto-u.ac.jp</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Irene+Y%2E+L%2E%22">Chen, Irene Y. L.</searchLink><relatesTo>2</relatesTo><i> irene@cc.ncue.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Akçapınar%2C+Gökhan%22">Akçapınar, Gökhan</searchLink><relatesTo>3</relatesTo><i> gokhanakcapinar@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Flanagan%2C+Brendan%22">Flanagan, Brendan</searchLink><relatesTo>4</relatesTo><i> flanagan.brendanjohn.4n@kyoto-u.ac.jp</i><br /><searchLink fieldCode="AR" term="%22Ogata%2C+Hiroaki%22">Ogata, Hiroaki</searchLink><relatesTo>4</relatesTo><i> hiroaki.ogata@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Educational+Technology+%26+Society%22">Educational Technology & Society</searchLink>. Apr2021, Vol. 24 Issue 2, p1-13. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Flipped+classrooms%22">Flipped classrooms</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+response+systems%22">Student response systems</searchLink><br /><searchLink fieldCode="DE" term="%22Recommender+systems%22">Recommender systems</searchLink>
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  Label: Abstract
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  Data: Research has revealed the positive effects of flipped classroom approaches on students' learning engagement and performance compared with conventional lecture-based classrooms. However, because of a lack of out-of-class learning support, many students fail to comprehensively prepare the provided lecture materials before class. One promising solution to this problem is recommendation systems in the educational area, which have been instrumental in helping learners identify useful and relevant lecture materials that satisfy their learning needs. Thus, in this study, we propose a summarized lecture material recommendation system, which is integrated into an e-book reading system as an enhancement of the flipped classroom approach. This system helps students identify pages that contain essential knowledge that must be thoroughly studied before class. The proposed system was constructed on the basis of our previous work. In this study, a quasi-experiment was conducted in a graduate course that implemented the flipped classroom model: experimental group students learned with the proposed system, whereas the control group students had no access to the additional features. The findings of this study suggest that students who learn with the proposed recommendation system significantly outperform those who learn without the system in a flipped classroom in terms of their learning outcomes and engagement in preclass preparation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Educational Technology & Society is the property of International Forum of Educational Technology & Society (IFETS) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Apr2021
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