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The effects of an augmented-reality ubiquitous writing application: a comparative pilot project for enhancing EFL writing instruction

Vivien Lin, Gi‐Zen Liu, Nian‐Shing Chen

2020Computer Assisted Language Learning99 citationsDOI

Abstract

The use of technology such as online software has been examined in English as a foreign language (EFL) writing contexts. However, few studies have incorporated context-aware ubiquitous technology into EFL writing instruction. To develop multimodal and digital literacy of target EFL undergraduates in this pilot project, the researchers designed and implemented an augmented-reality context-aware ubiquitous writing (ARCAUW) application, which aimed to increase long-term memory, motivation, and self-regulated cognition in participants’ writing development. The pilot project compared the writing outcomes and learner perceptions of the proposed ARCAUW writing mode against the baseline mobile-assisted, classroom-based writing mode. The two writing modes differed in the way that metacognitive scaffolding tasks were carried out. Pre- and post-test results showed that (a) although both modes led to significant improvement in writing the process analysis essay, ARCAUW was conducive to the development of task schema in long-term memory, motivation, and self-regulation in writing, and (b) additional cognitive processing during AR-based learning led to mixed results in writing performance. It was concluded that ARCAUW should be incorporated into mobile-assisted writing courses to reach optimal instructional outcomes. Finally, a five-step procedure was offered to help EFL practitioners design and implement ubiquitous writing in their own teaching contexts.

Topics & Concepts

Computer scienceMetacognitionSchema (genetic algorithms)Context (archaeology)Writing processMultimediaCognitionTask (project management)Mathematics educationPsychologyPaleontologyMachine learningNeuroscienceEconomicsManagementBiologyMobile Learning in EducationAugmented Reality ApplicationsInnovative Teaching and Learning Methods