Title: A near field communication-enabled e-learning environment for context-aware mobile Japanese conversation learning

Authors: Chun-Chia Wang

Addresses: Department of Information Management, Taipei City University of Science and Technology, Taipei, Taiwan

Abstract: In this study, we utilised near field communication-enabled smartphones with context-aware technology to propose a context-aware mobile Japanese conversation learning system (CAMJAL) for Taiwanese students. Our proposed CAMJAL system was implemented to record students' learning behaviours between peers in a context-aware computing environment. This system extend perceived convenience as external variable to technology acceptance model (TAM) to analyse its explanatory power and examine antecedent factors that affect acceptance of CAMJAL. Participants were 86 university students with advanced Japanese abilities from the northern part of Taiwan. After conducting CAMJAL with near field communication-enabled smartphones, data was collected by questionnaires. Our experimental results revealed that a) perceived convenience, perceived ease of use, and perceived usefulness were antecedent factors that affect acceptance of CAMJAL; b) perceived ease of use had a significantly positive effect on perceived convenience; c) perceived convenience had a significantly positive effect on perceived usefulness; d) perceived ease of use and perceived usefulness had a significantly positive effect on attitude towards use; and e) perceived ease of use, perceived usefulness, and attitude towards use had a significantly positive effect on behaviour intentions to learning. Overall, the extended TAM was effective in predicting and explaining the acceptance of CAMJAL.

Keywords: context-aware computing; mobile learning; near field communication; perceived convenience; technology acceptance model.

DOI: 10.1504/IJASS.2017.088900

International Journal of Applied Systemic Studies, 2017 Vol.7 No.1/2/3, pp.41 - 62

Received: 13 Sep 2016
Accepted: 19 Jan 2017
Published online: 02 Jan 2018 *

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