Smart Learning for English Learning: Exploring Learner and Learning Environmental Attributes

다국어 초록 (Multilingual Abstract)

An innovation in English learning has been consistently introduced to many learners and educators. One of the new methods is smart learning to facilitate English learning in today’s society. However, there is little empirical research investigating learners’ behavior, particularly the adoption intention of smart learning. Thus, this study proposes a research model based on the Theory of Planned Behavior and Social Cognitive Theory in order to examine English learners’ behavioral intention to use smart learning. The proposed research model incorporates learner attributes (Attitude, Experience, Self-Efficacy, and Anxiety) and learning environmental attributes (Facilitating Condition, Social Influence, and Interactivity), as well as their impact on English learners’ intention to use smart learning. The partial least squares (PLS) approach was employed to analyze 331 English learners using smart learning.
The results indicate that all the variables with exception of Anxiety had a significant impact on intention to use smart learning for English study. The findings of this study imply that smart learning is gaining its momentum in English education. Moreover, learners and learning environmental attributes should be considered to better understand English learners’ behaviors.

목차 (Table of Contents)

• Ⅰ. INTRODUCTION
• Ⅱ. LITERATURE REVIEW
• Ⅲ. RESEARCH MODEL WITH HYPOTHESES
• Ⅳ. RESEARCH METHODOLOGY
• Ⅴ. RESULTS
• Ⅵ. CONCLUSION