The roles of task-specific self-efficacy and enjoyment in EFL learners’ development of speaking CALF: A longitudinal study

This longitudinal study adopts a person-centred approach to examine EFL learners’ development of speaking CALF; the fluctuating correlations of affective ID variables (self-efficacy and enjoyment), as well as their impacts on oral task performance over time. Thirty-one Chinese EFL learners completed eight oral tasks bi-weekly over six months, followed by post-task scales to measure task-specific self-efficacy and enjoyment. Data were subjected to group-based multi-trajectory modelling (GBMM) to discern the development of speaking CALF, moving correlation analysis to explore the interactions between task-specific self-efficacy and enjoyment, and panel data regression to examine the longitudinal impact of task-specific self-efficacy and enjoyment on oral task performance. GBMM results revealed variability at both the group and individual levels, despite similar educational backgrounds and learning contexts, as evidenced by differing speaking CALF patterns. Moving correlation analyses revealed dynamic, non-linear trends between self-efficacy and enjoyment. Panel data regression analyses suggested that higher levels of affective ID variables would generate better oral performance, as evidenced by speaking CALF patterns. This study successfully integrated ID variables into TBLT research within a CDST framework for enhancing our understanding of the complex nature of EFL learners’ speaking competence and underscoring the interconnectivity between task-specific self-efficacy and enjoyment.

Authors

Institutions

Publication Details

Journal
System
Published
2024-11-06
DOI
https://doi.org/10.1016/j.system.2024.103539
Citations
14
Primary Topic
EFL/ESL Teaching and Learning
Type
article
Field-Weighted Citation Impact
38.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The roles of task-specific self-efficacy and enjoyment in EFL learners’ development of speaking CALF: A longitudinal study

Longyu Zhou, Pengyun Chang, Lawrence Jun Zhang
14 citations
System
EFL/ESL Teaching and Learning
38.90
article

The roles of task-specific self-efficacy and enjoyment in EFL learners’ development of speaking CALF: A longitudinal study

Longyu Zhou, Pengyun Chang, Lawrence Jun Zhang
article en
14 citations

Abstract

This longitudinal study adopts a person-centred approach to examine EFL learners’ development of speaking CALF; the fluctuating correlations of affective ID variables (self-efficacy and enjoyment), as well as their impacts on oral task performance over time. Thirty-one Chinese EFL learners completed eight oral tasks bi-weekly over six months, followed by post-task scales to measure task-specific self-efficacy and enjoyment. Data were subjected to group-based multi-trajectory modelling (GBMM) to discern the development of speaking CALF, moving correlation analysis to explore the interactions between task-specific self-efficacy and enjoyment, and panel data regression to examine the longitudinal impact of task-specific self-efficacy and enjoyment on oral task performance. GBMM results revealed variability at both the group and individual levels, despite similar educational backgrounds and learning contexts, as evidenced by differing speaking CALF patterns. Moving correlation analyses revealed dynamic, non-linear trends between self-efficacy and enjoyment. Panel data regression analyses suggested that higher levels of affective ID variables would generate better oral performance, as evidenced by speaking CALF patterns. This study successfully integrated ID variables into TBLT research within a CDST framework for enhancing our understanding of the complex nature of EFL learners’ speaking competence and underscoring the interconnectivity between task-specific self-efficacy and enjoyment.

SystemVol. 127
University of Auckland (NZ), Chongqing University (CN)
Ministry of Education of the People's Republic of China, China Scholarship Council, Chongqing Municipal Education Commission, National University's Basic Research Foundation of China
Quality Education
Openalex Percentile: Top 0%
EFL/ESL Teaching and Learning
38.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.