Computer Assisted Language Learning

Papers
(The H4-Index of Computer Assisted Language Learning is 28. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
The effect of audio annotations on vocabulary learning using 360° pictures218
Paper-based versus e-portfolios in FL writing: a mixed-methods study of young learners’ enjoyment and boredom121
A digital tool designed to support secondary education teachers’ professional development and to develop students’ oral language competence100
‘It is useful, but we feel confused and frustrated’: exploring learner engagement with AWE feedback in collaborative academic writing95
The effects of digital reading on third grade EFL students’ motivation, attitude, reading comprehension, and vocabulary acquisition78
Exploring EFL learner engagement with different teacher feedback modes76
Willingness to communicate with artificial intelligence (AI)? insights from tracking EFL learners’ perceived acceptance and chat output71
Comparing student-centered learning in a video-based app to the grammar-translation method in an EFL class65
The impact of learning support facilitated by a robot and IoT-based tangible objects on children’s game-based language learning64
Exploring the effects of robot-assisted multimodal composition on students’ audience awareness for English writing55
What gains and for whom? An analysis of pre-service teachers’ language gains and perceptions of linguistic and intercultural competence through a telecollaboration project51
Do mobile games improve language learning? A meta-analysis50
Utilising artificial intelligence-enhanced writing mediation to develop academic writing skills in EFL learners: a qualitative study49
Co-construction during online learning: cognitive presence through asynchronous video discussion46
WhatsApp-integrated student team achievement division (STAD) in teaching English communicative competence: impact on students’ performance and perception43
A computer-assisted tool for automatically measuring non-native Japanese oral proficiency39
Implementing digital multimodal composing in tertiary EFL curriculum: a focus on teachers’ beliefs38
Correction38
Exploring EMI teachers’ agency in addressing language-related challenges with ChatGPT: a multiple case study37
Exploring the feasibility of augmented reality game-supported flipped classrooms in reading comprehension of English for Medical Purposes33
AI versus human assessment in EFL speaking classrooms: a comparative study in China33
Negotiated interactions in cross-cultural video-mediated virtual exchanges31
L2 grit and language mindsets as predictors of EFL learners’ attitudes toward effectiveness and value of CALL30
Effects of human-AI collaborative writing strategy on EFL students’ argumentative writing skills30
Predicting attitude, use, and future intentions with translation websites through the TAM framework: a multicultural study among Saudi and South Korean language learners30
Challenges of integrating ChatGPT into EFL writing: an Activity Theory framework29
Integrating AI technology into corpus-based language learning through ChatAI29
Students’ emotional experiences and learning outcomes during digital vocabulary instruction: comparing struggling and typical third grade readers28
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