Enhancing Contextualized Learning via AR

Ming Puu Chen, Li Chun Wang, Shu Yuan Lin, Di Zou, Haoran Xie, Chin Chung Tsai

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

2 Citations (Scopus)

Abstract

An AR-enhanced contextualized learning was developed to facilitate EFL learning for junior high school students. A preliminary study was conducted to examine the effects of levels of prior knowledge (low vs. high) on participants' learning effectiveness and attitude toward the implemented AR-enhanced theme-based contextualized learning. The analysis suggested that prior knowledge affected participants' learning from the experimental AR-enhanced learning. With the advantage in prior knowledge, the high prior knowledge learners outperformed the low prior knowledge learners both in comprehension and application performance and possessed higher degrees of confidence, preferences, deep learning and learning strategy but with lower degrees of anxiety. It was suggested that suitable learning supports need to be considered to adapt to EFL beginners' levels of prior knowledge in order to facilitate their learning.

Original languageEnglish
Title of host publicationProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages286-289
Number of pages4
ISBN (Electronic)9781728126272
DOIs
Publication statusPublished - 2019 Jul
Event8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 - Toyama, Japan
Duration: 2019 Jul 72019 Jul 11

Publication series

NameProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019

Conference

Conference8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
Country/TerritoryJapan
CityToyama
Period2019/07/072019/07/11

Keywords

  • augmented reality
  • contextualized learning
  • e-learning
  • language learning

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Social Sciences (miscellaneous)

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