2018年11月24日
Modularization of information sharing system "SharedPanel" to accommodate inputs from more SNSs and expand display patterns
ICCE 2018 - 26th International Conference on Computers in Education, Main Conference Proceedings
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- 開始ページ
- 452
- 終了ページ
- 457
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
© 2018 Asia-Pacific Society for Computers in Education. All rights reserved. Learning Management Systems (LMSs) are the most commonly used ICT tools in higher education institutions; these institutions also utilize ICT tools such as Facebook and Twitter (external services). However, it is difficult to preserve data when using external services, and it is also difficult to simultaneously manage learning content within a single lesson when using both an LMS and external services. In addition, it is difficult to consistently reflect upon what works in the classroom, as there are so many possible ways that LMSs and external services are used in combination. In previous research, we developed an information sharing tool, "SharedPanel," which collects posts and messages from Facebook, Twitter, e-mail, Evernote, and LINE and stores them in an LMS (Moodle). This system enables learners to input information, such as ideas/educational resources, into their favorite tool and share it with other learners on Moodle easily, without having to log in to Moodle. In this study, we modularized the element where information is entered (information input element) and the element where the acquired information is displayed (information display element) to enable other developers to add other external services and display formats. In this study, modularization means separating functions out from the main part; the separated parts are standardized, interchangeable, have a high level of independence, and are parts of the whole. Modularized parts can be easily added or changed without major change to the main element of SharedPanel.
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- Web of Science
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- URL
- http://icce2018.ateneo.edu/wp-content/uploads/2018/12/C4-12.pdf
- ID情報
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- SCOPUS ID : 85060035589
- Web of Science ID : WOS:000456331300075