Computer-assisted English learning: Uncovering the relationship between motivation and self-regulation

被引:4
作者
Wang, Cong [1 ,2 ,4 ]
Zhu, Sida [1 ,3 ]
Zhang, Haijing [1 ]
机构
[1] Educ Univ Hong Kong, Dept Chinese Language Studies, Hong Kong, Peoples R China
[2] Educ Univ Hong Kong, Ctr Res Chinese Language & Educ, Hong Kong, Peoples R China
[3] Guangdong Univ Foreign Studies, Fac Chinese Language & Culture, Guangzhou, Peoples R China
[4] Educ Univ Hong Kong, Dept Chinese Language Studies, Tai Po, 10 Lo Ping Rd, Hong Kong 999077, Peoples R China
关键词
computer-assisted language learning; Hong Kong university students; learning English as a second language; learning motivation; self-regulation; COURSE OUTCOMES; CONCEPTIONS; TECHNOLOGY; SKILLS;
D O I
10.1111/jcal.12846
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
BackgroundSince 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.ObjectivesThis study analyses the relationship between Hong Kong university students' motivation and self-regulation by considering their emotions in computer-assisted synchronic online English courses.Methods311 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 ConclusionsThe 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.ImplicationsBased on the L2 self-system (Dornyei, 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.
引用
收藏
页码:1860 / 1873
页数:14
相关论文
共 79 条
  • [1] Influence of satisfaction and preparedness on online students' feelings of anxiety
    Abdous, M'hammed
    [J]. INTERNET AND HIGHER EDUCATION, 2019, 41 : 34 - 44
  • [2] Ahsanullah M., 2014, Normal and Student's t Distributions and Their Applications
  • [3] Zoltan Dornyei (1960-2022) OBITUARY
    Al-Hoorie, Ali H.
    Hiver, Phil
    [J]. LANGUAGE LEARNING, 2022, 72 (04) : 896 - 898
  • [4] Alderson J.C., 1995, LANGUAGE TEST CONSTR
  • [5] Bahari A., 2020, CALL-EJ, V21, P1
  • [6] Hong Kong secondary students' self-regulated learning strategy use and English writing: Influences of motivational beliefs
    Bai, Barry
    Wang, Jing
    [J]. SYSTEM, 2021, 96
  • [7] Learning to write book reviews for publication: A collaborative action research study on student-teachers' perceptions, motivation, and self-efficacy
    Banegas, Dario Luis
    Soledad Loutayf, Maria
    Company, Susana
    Jose Aleman, Maria
    Roberts, Grisel
    [J]. SYSTEM, 2020, 95
  • [8] Measuring self-regulation in online and blended learning environments
    Barnard, Lucy
    Lan, William Y.
    To, Yen M.
    Paton, Valerie Osland
    Lai, Shu-Ling
    [J]. INTERNET AND HIGHER EDUCATION, 2009, 12 (01) : 1 - 6
  • [9] Retention in Online Courses: Exploring Issues and Solutions-A Literature Review
    Bawa, Papia
    [J]. SAGE OPEN, 2016, 6 (01):
  • [10] Berenson R., 2008, International Review of Research in Open and Distance Learning, V9, P1, DOI [10.19173/irrodl.v9i2.385, DOI 10.19173/IRRODL.V9I2.385]