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Closing the Experiential Learning Loops Using Learning Analytics Cycle: Towards Authentic Experience Sharing for Vocabulary Learning

Closing the Experiential Learning Loops Using Learning Analytics Cycle: Towards Authentic Experience Sharing for Vocabulary Learning

Mohammad Nehal Hasnine, Hiroaki Ogata, Gökhan Akçapınar, Kousuke Mouri, Keiichi Kaneko
Copyright: © 2020 |Volume: 18 |Issue: 3 |Pages: 21
ISSN: 1539-3100|EISSN: 1539-3119|EISBN13: 9781799804871|DOI: 10.4018/IJDET.2020070105
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MLA

Hasnine, Mohammad Nehal, et al. "Closing the Experiential Learning Loops Using Learning Analytics Cycle: Towards Authentic Experience Sharing for Vocabulary Learning." IJDET vol.18, no.3 2020: pp.78-98. http://doi.org/10.4018/IJDET.2020070105

APA

Hasnine, M. N., Ogata, H., Akçapınar, G., Mouri, K., & Kaneko, K. (2020). Closing the Experiential Learning Loops Using Learning Analytics Cycle: Towards Authentic Experience Sharing for Vocabulary Learning. International Journal of Distance Education Technologies (IJDET), 18(3), 78-98. http://doi.org/10.4018/IJDET.2020070105

Chicago

Hasnine, Mohammad Nehal, et al. "Closing the Experiential Learning Loops Using Learning Analytics Cycle: Towards Authentic Experience Sharing for Vocabulary Learning," International Journal of Distance Education Technologies (IJDET) 18, no.3: 78-98. http://doi.org/10.4018/IJDET.2020070105

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Abstract

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.

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