1. Computer‐assisted English learning: Uncovering the relationship between motivation and self‐regulation.
- Author
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Wang, Cong, Zhu, Sida, and Zhang, Haijing
- Subjects
COLLEGE students ,COMPUTER assisted instruction ,MOTIVATION (Psychology) ,SELF-control ,ONE-way analysis of variance ,SATISFACTION ,LEARNING strategies ,ENGLISH as a foreign language ,STUDENTS ,QUESTIONNAIRES ,SCALE analysis (Psychology) ,FACTOR analysis ,DESCRIPTIVE statistics ,STUDENT attitudes ,STATISTICAL correlation ,DATA analysis software ,ALTERNATIVE education ,EDUCATION - Abstract
Background: Since the outbreak of COVID‐19, universities in Hong Kong have implemented online and hybrid teaching modes, making computer‐assisted language learning (CALL) a primary way for English learning. Research on English learning motivation and self‐regulation has seldom considered learners' emotions (satisfaction and preparedness) and the synchronic online courses in a CALL context. Objectives: This study analyses the relationship between Hong Kong university students' motivation and self‐regulation by considering their emotions in computer‐assisted synchronic online English courses. Methods: 311 Hong Kong university students were invited to complete two questionnaires that investigated students' motivation and self‐regulation in computer‐assisted online English courses. SPSS 26 was employed for exploratory factor analysis (EFA) to extract factors and exclude unsuitable items, and confirmatory factor analysis (CFA) was performed to verify the results of EFA. One‐way ANOVA was conducted to detect the impact of personal emotion on motivation and self‐regulation. AMOS 26 was adopted to construct a structural equation model (SEM) to explore the relationship between motivation and self‐regulation in the CALL context. Results and Conclusions: The results show that satisfaction and preparedness positively correlate with online English learning motivation and self‐regulation. Instrumentality‐attitude significantly predicts all factors of self‐regulation via SEM and goal setting significantly predicts all factors of motivation. With feasible English learning goals, Hong Kong university students are more proactive in learning English online where they actively interact with teachers and peers. Implications: Based on the L2 self‐system (Dörnyei, The psychology of the language learner: Individual differences in second language acquisition, 2005) and self‐determination theory (Barnard et al., Internet and Higher Education, 2009, 12, 1–6), this study clarifies the relationship between motivation and self‐regulation in the CALL context, expanding the application scope of the two theories. COVID‐19 has changed the teaching mode greatly, calling for a revolution in language education and learning. This study provides significant pedagogical implications that benefit both learners and teachers in CALL post‐COVID‐19. Lay Description: What is currently known about this topic: Motivation and self‐regulation greatly affect learners' performance in online English learning.There is a correlation between L2 learners' motivation and self‐regulation.Preparedness and satisfaction are related to learners' learning anxiety and motivation and directly affect learners' online learning achievement. What this paper adds: Satisfaction and preparedness positively correlate with online English learning motivation and self‐regulation.Instrumentality‐attitude significantly predicts all factors of self‐regulation via SEM and goal setting significantly predicts all factors of motivation.With feasible English learning goals, Hong Kong university students are more proactive in learning English online where they actively interact with teachers and peers. What are the implications of our topic for practitioners?: Learners and teachers must highlight the importance of satisfaction and preparedness in online English courses.Learners and teachers should attach great importance to the instrumentality‐attitude in the CALL context, and teachers can appropriately reduce the difficulty of English learning and design study content according to the needs of different students.Teachers should assist Hong Kong university students in formulating reasonable and feasible short‐term and long‐term learning goals at the beginning of online English courses. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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