Reducing listening anxiety in blended learning
The role of AI-driven feedback and strategy in EFL education
Bibliographic Data
| ID | 21284037 |
|---|---|
| Authors | Katherine Li (0000-0002-1201-7630, Taylor's University, corresponding author), Jayakaran Mukundan (0000-0003-3673-6127, Taylor's University), Vinothini Vasodavan (0000-0002-9672-5326, Taylor's University) |
| Year | 2026 |
| Volume | 267 |
| Pages | 107105 |
| Publication date | 2026-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2026.107105 |
| PMID | 42161136 |
| OpenAlex | W7161794127 |
| Language | EN |
| References cited | 83 |
This mixed-methods study examined listening strategies, anxiety, and achievement among 436 vocational college EFL students in an AI-augmented blended learning program. Quantitative analysis revealed that strategies positively predicted achievement whereas anxiety negatively predicted achievement. Notably, higher anxiety correlated with increased strategy use, suggesting compensatory engagement. Mediation analysis confirmed that strategies significantly partially mediated the anxiety-achievement relationship. Qualitative findings from 15 semi-structured interviews documented adaptive AI tool use (Duolingo, FIF) and identified novel anxiety triggers specific to blended contexts: environmental constraints (ambient noise, absence of visual cues) and technological barriers (poor audio quality, connectivity issues). These findings establish listening strategies as dual-purpose cognitive-affective resources that simultaneously enhance proficiency and mitigate anxiety in technology-rich environments. The study extends Information Processing Theory, Metacognitive Theory, and the Affective Filter Hypothesis by demonstrating how strategic competence dynamically mediates affective-cognitive interactions in AI-mediated vocational settings, advocating for integrated pedagogical designs combining explicit strategy instruction with equitable technological implementation. Practically, the findings advocate for integrated pedagogical designs that systematically combine explicit strategy instruction, affective awareness training, and equitable, pedagogically aligned technological implementation-particularly for learners in vocational education, where pragmatic language outcomes and digital access disparities demand context-responsive solutions
Active listening · Anxiety · Listening comprehension · Test anxiety · E-Learning and COVID-19 · EFL/ESL Teaching and Learning · Technology-Enhanced Education Studies
Cognitive Load Theory
Cognitive constraints on multimedia learning
Foreign Language Anxiety and Foreign Language Performance
Artificial intelligence in education
Artificial intelligence in online higher education
Artificial intelligence in higher education
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Foreign Language Classroom Anxiety
Students' Strategies for Improving Their Listening Comprehension
The impact of AI-driven speech recognition on EFL listening comprehension, flow experience, and anxiety
Blended learning reform in English viewing, listening and speaking course based on the POA in the post-pandemic era
Metacognition in listening comprehension
Interventions to reduce stress and prevent burnout in healthcare professionals supported by digital applications
Does the Use of Web-Based Extensive Listening Activities Affect Foreign Language Listening Anxiety and Foreign Language Anxiety
Systematics review on artificial intelligence chatbots and ChatGPT for language learning and research from self-determination theory (SDT)
Research trends in the use of E-books in English as a foreign language (EFL) education from 2011 to 2020
Exploring the effects of online learning on EFL learners’ motivation, anxiety, and attitudes during the Covid-19 pandemic
The effect of learning adaptability on Chinese middle school students’ English academic engagement
Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world
Factors influencing engagement in EFL learning of higher education learners in blended learning environments
The development of artificial intelligence in education
What Matters Most? A Q‐Method Study on Chinese University Students' Perceived Teacher Support in AI‐Assisted EFL Learning
Teacher support and its impact on ESL student engagement in blended learning
Modeling the relationships between EFL learners' construct-relevant and -irrelevant strategies in listening test performance
Comparing online and offline Chinese EFL learners' anxiety and emotional engagement
Multilingual effects on EFL learning
The effect of Chinese EFL students’ learning motivation on learning outcomes within a blended learning environment
The magical number seven, plus or minus two
Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being
New Elements of Career Construction for China’s Youth
A latent profile analysis of EFL learners’ self-efficacy
The effectiveness of artificial intelligence on English language learning achievement
Learners’ cognitive processing problems during comprehension as a basis for L2 listening research
A cognitive perspective on language learners' listening comprehension problems
How unique is the foreign language classroom enjoyment and anxiety of Chinese EFL learners
Person factors and strategic processing in L2 listening comprehension
Mindset profiles and their relationship with self-regulated learning strategy use and English learning achievement
Learning to listen strategically
Research into practice
Artificial Intelligence Technologies in College English Translation Teaching
Metacognition and cognitive monitoring
A theory of human motivation
Using thematic analysis in psychology
Building a practically useful theory of goal setting and task motivation
Dimensionalizing Cultures
| Citation velocity | historical |
|---|---|
| Highly cited | No |