The development and evaluation of an augmented reality learning system for Japanese compound verbs using learning analytics

Xuewang Geng, Masanori Yamada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Advances in mobile technology are providing new opportunities for mobile learning. Augmented reality (AR) technologies may be used on mobile devices and have the potential to facilitate improvements in learning performance. Meanwhile, the amount of data available about learners and their learning activities is rapidly increasing. Using learning analytics allows the collection of learning data to effectively analyze learning behaviors and processes. In this study, we designed and developed an AR learning system based on the temporal and spatial continuity principles of the multimedia learning theory to aid Japanese compound verb acquisition. We also employed the learner-to-learning materials interaction to analyze the relationship between learning behaviors and learning performance. The results showed that the use of an AR learning system assisted learners in improving their learning and retention of compound verbs, whereas repeated trials of the learning behavior enhanced the learning of compound verbs.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
EditorsHiroyuki Mitsuhara, Yoshiko Goda, Yutato Ohashi, Ma. Mercedes T. Rodrigo, Jun Shen, Neelakantam Venkatarayalu, Gary Wong, Masanori Yamada, Leon Chi-Un Lei
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages71-76
Number of pages6
ISBN (Electronic)9781728169422
DOIs
Publication statusPublished - Dec 8 2020
Event2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020 - Virtual, Takamatsu, Japan
Duration: Dec 8 2020Dec 11 2020

Publication series

NameProceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020

Conference

Conference2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
CountryJapan
CityVirtual, Takamatsu
Period12/8/2012/11/20

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Media Technology
  • Education

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