영어학습 어플리케이션 특성이 학습자에게 미치는 영향에 대한 실증적 분석: 가치-태도-행동 프레임워크를 기반으로
Epirical analysis of the impact of characteristics of English learning applications on learners: Based on the value-attitude-behavior framework
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The aim of this study is to empirically analyze why learners perceive value and form positive attitudes towards English learning applications (apps) used in the context of smart devices, which have become an integral part of learners’ daily lives. This analysis takes into consideration the current state where various English learning technologies and content are prevalent in the online environment. The study proposes a research model that incorporates four variables - Ubiquitous Learning, Personalized Learning, Enjoyment, and Various Learning Contents - representing characteristics of English learning applications, into the Value-Attitude-Behavior (VAB) framework. Additionally, cost benefit is proposed as a moderating effect on the relationships among the VAB variables. The results of the structural equation modeling (SEM) analysis, based on 299 responses collected from English learners using apps, indicate that all proposed hypotheses, except for Enjoyment, have a significantly positive impact on perceived value. Moreover, the relationships among the VAB variables are valid in the context of English learning apps. Finally, cost benefit enhances the relationships among the VAB variables. These findings contribute to a better understanding of English learners’ behavior towards learning apps, as well as provide guidelines for developers of English learning apps.
Abstract
The aim of this study is to empirically analyze why learners perceive value and form positive attitudes towards English learning applications (apps) used in the context of smart devices, which have become an integral part of learners’ daily lives. This analysis takes into consideration the current state where various English learning technologies and content are prevalent in the online environment. The study proposes a research model that incorporates four variables - Ubiquitous Learning, Personalized Learning, Enjoyment, and Various Learning Contents - representing characteristics of English learning applications, into the Value-Attitude-Behavior (VAB) framework. Additionally, cost benefit is proposed as a moderating effect on the relationships among the VAB variables. The results of the structural equation modeling (SEM) analysis, based on 299 responses collected from English learners using apps, indicate that all proposed hypotheses, except for Enjoyment, have a significantly positive impact on perceived value. Moreover, the relationships among the VAB variables are valid in the context of English learning apps. Finally, cost benefit enhances the relationships among the VAB variables. These findings contribute to a better understanding of English learners’ behavior towards learning apps, as well as provide guidelines for developers of English learning apps.
참고문헌 (62)
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