TY - JOUR
T1 - The relationship between English language learners’ motivation and online self-regulation
T2 - A structural equation modelling approach
AU - Zheng, Chunping
AU - Liang, Jyh Chong
AU - Li, Mang
AU - Tsai, Chin Chung
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/8
Y1 - 2018/8
N2 - This study presents a structural relationship model that integrates English language learners’ motivation with their online self-regulation. Two questionnaires, Online Language Learning Motivation (OLLM) and Online Self-regulated English Learning (OSEL), were developed and administered to 293 Chinese university students. The results indicated that OLLM consists of five factors, namely online language learning experience, cultural interest, instrumentality-promotion, instrumentality-prevention, and others’ expectations. Meanwhile, OSEL is composed of six factors: goal setting, time management, environment structuring, help seeking, task strategies, and self-evaluation. The path analysis revealed that students with a positive future image of their language learning and an intrinsic interest in English culture tended to have better self-regulatory capacity in online learning environments. In contrast, students who learn English so as to avoid negative academic results might be less motivated to carry out online self-regulated learning. Also worthy of note is the negative association between L2 learners’ previous online learning experience and their online self-regulatory efforts. Learners with positive online learning experiences tended to be more flexible and independent in their self-regulatory learning process. Related pedagogical implications are discussed, such as motivating learners to visualize a successful future self, improving their inherent interest in learning English, and designing more effective online tasks.
AB - This study presents a structural relationship model that integrates English language learners’ motivation with their online self-regulation. Two questionnaires, Online Language Learning Motivation (OLLM) and Online Self-regulated English Learning (OSEL), were developed and administered to 293 Chinese university students. The results indicated that OLLM consists of five factors, namely online language learning experience, cultural interest, instrumentality-promotion, instrumentality-prevention, and others’ expectations. Meanwhile, OSEL is composed of six factors: goal setting, time management, environment structuring, help seeking, task strategies, and self-evaluation. The path analysis revealed that students with a positive future image of their language learning and an intrinsic interest in English culture tended to have better self-regulatory capacity in online learning environments. In contrast, students who learn English so as to avoid negative academic results might be less motivated to carry out online self-regulated learning. Also worthy of note is the negative association between L2 learners’ previous online learning experience and their online self-regulatory efforts. Learners with positive online learning experiences tended to be more flexible and independent in their self-regulatory learning process. Related pedagogical implications are discussed, such as motivating learners to visualize a successful future self, improving their inherent interest in learning English, and designing more effective online tasks.
KW - L2 motivational self system
KW - Motivation
KW - Online self-regulation
KW - Self-regulated learning
KW - Structural equation model (SEM)
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U2 - 10.1016/j.system.2018.05.003
DO - 10.1016/j.system.2018.05.003
M3 - Article
AN - SCOPUS:85049308524
SN - 0346-251X
VL - 76
SP - 144
EP - 157
JO - System
JF - System
ER -