Computer Assisted Language Learning

Papers
(The H4-Index of Computer Assisted Language Learning is 30. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Comparing student-centered learning in a video-based app to the grammar-translation method in an EFL class138
Willingness to communicate with artificial intelligence (AI)? insights from tracking EFL learners’ perceived acceptance and chat output127
Exploring EFL learner engagement with different teacher feedback modes91
Paper-based versus e-portfolios in FL writing: a mixed-methods study of young learners’ enjoyment and boredom83
Hyperlink desirability in adolescent fiction: location and absorption81
A critical review of design features of LMOOCs65
A digital tool designed to support secondary education teachers’ professional development and to develop students’ oral language competence61
Intercultural learning through Chinese-American telecollaboration: results of a song sharing project59
The impact of learning support facilitated by a robot and IoT-based tangible objects on children’s game-based language learning54
Employing e-tandem language learning method to enhance speaking skills and willingness to communicate: the case of EFL learners53
Utilising artificial intelligence-enhanced writing mediation to develop academic writing skills in EFL learners: a qualitative study47
Exploring the effects of robot-assisted multimodal composition on students’ audience awareness for English writing45
Co-construction during online learning: cognitive presence through asynchronous video discussion43
Correction43
Gamified mobile learning: effects on English learning in technical college students42
Exploring the feasibility of augmented reality game-supported flipped classrooms in reading comprehension of English for Medical Purposes41
Using video dubbing to foster college students’ English-speaking ability41
A computer-assisted tool for automatically measuring non-native Japanese oral proficiency39
Enhancing EFL students’ academic writing skills in online learning via Google Docs-based collaboration: a mixed-methods study38
Using a SPOC-based flipped classroom instructional mode to teach English pronunciation37
WhatsApp-integrated student team achievement division (STAD) in teaching English communicative competence: impact on students’ performance and perception37
A systematic review examining the efficacy of commercially available foreign language learning mobile apps37
Implementing digital multimodal composing in tertiary EFL curriculum: a focus on teachers’ beliefs36
Students’ emotional experiences and learning outcomes during digital vocabulary instruction: comparing struggling and typical third grade readers35
Negotiated interactions in cross-cultural video-mediated virtual exchanges34
Predicting attitude, use, and future intentions with translation websites through the TAM framework: a multicultural study among Saudi and South Korean language learners33
Effectiveness and inclusiveness of locally adapted human-delivered synchronous written corrective feedback for English referential articles33
L2 grit and language mindsets as predictors of EFL learners’ attitudes toward effectiveness and value of CALL32
Writing on WeChat moments: impact on writing performance and learner autonomy31
Exploring the relationships between learners’ engagement, autonomy, and academic performance in an English language MOOC31
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