Closing the Experiential Learning Loops Using Learning Analytics Cycle
| Autor: | Keiichi Kaneko, Gökhan Akçapınar, Kousuke Mouri, Mohammad Nehal Hasnine, Hiroaki Ogata |
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| Rok vydání: | 2020 |
| Předmět: |
Computer Networks and Communications
Computer science media_common.quotation_subject 05 social sciences Closing (real estate) Educational technology Learning analytics Computer system design 050301 education 02 engineering and technology Vocabulary learning Experiential learning Vocabulary development Computer Science Applications Education 020204 information systems 0202 electrical engineering electronic engineering information engineering Mathematics education 0503 education Experience sharing media_common |
| Zdroj: | International Journal of Distance Education Technologies. 18:78-98 |
| ISSN: | 1539-3119 1539-3100 |
| DOI: | 10.4018/ijdet.2020070105 |
| Popis: | In ubiquitous learning, authentic experiences are captured and later reused as those are rich resources for foreign vocabulary development. This article presents an experiential theory-oriented approach to the design of learning analytics support for sharing and reusing authentic experiences. In this regard, first, a conceptual framework to support vocabulary learning using learners' authentic experiences is proposed. Next, learning experiences are captured using a context-aware ubiquitous learning system. Finally, grounded in the theoretical framework, the development of a web-based tool called learn from others (LFO) panel is presented. The LFO panel analyzes various learning logs (authentic, partially-authentic, and words) using the profiling method while determining the top-five learning partners inside a seamless learning analytics platform. This article contributes to the research in the area of theory-oriented design of learning analytics for vocabulary learning through authentic activities and focuses on closing the loops of experiential learning using learning analytics cycles. |
| Databáze: | OpenAIRE |
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