Abstract
To trace the evolution of research strands in published Computer Assisted
Language Learning (CALL) papers over time, a corpus of 426 highly-cited papers
in four major CALL journals (ReCALL, CALL, LL&T, and CALICO Journal) was
compiled and coded using NVivo 12. All identified aspects of technology-mediated
language learning and teaching were collected to produce a comprehensive list of
690 recurring research strands and then, by adopting a constant comparison method,
were merged to form 119 unique research strands. The top 10 alone represent almost
half of all research strands: Computer-Mediated Communication (CMC), writing,
vocabulary, feedback, evaluation, learning environment, telecollaboration, design,
speaking, and grammar. This paper provides the rationale for the study along with
the methodology for data collection and analysis, with a particular focus on the
dominant and intermediary strands to inform future CALL publications.
Language Learning (CALL) papers over time, a corpus of 426 highly-cited papers
in four major CALL journals (ReCALL, CALL, LL&T, and CALICO Journal) was
compiled and coded using NVivo 12. All identified aspects of technology-mediated
language learning and teaching were collected to produce a comprehensive list of
690 recurring research strands and then, by adopting a constant comparison method,
were merged to form 119 unique research strands. The top 10 alone represent almost
half of all research strands: Computer-Mediated Communication (CMC), writing,
vocabulary, feedback, evaluation, learning environment, telecollaboration, design,
speaking, and grammar. This paper provides the rationale for the study along with
the methodology for data collection and analysis, with a particular focus on the
dominant and intermediary strands to inform future CALL publications.
| Original language | English |
|---|---|
| Title of host publication | Intelligent CALL, granular systems and learner data: short papers from EUROCALL 2022 |
| Place of Publication | France |
| Publisher | Research-publishing.net |
| Pages | 65-70 |
| Number of pages | 6 |
| ISBN (Print) | 978-2-38372-015-7 |
| DOIs | |
| Publication status | Published - Dec 12 2022 |
Keywords
- CALL research, CALL evolution, research strands, corpus analysis