Review of Individual differences in computer assisted language learning research
LANGUAGE LEARNING & TECHNOLOGY, cilt.28, sa.1, ss.1-4, 2024 (SSCI, Scopus)
- Yayın Türü: Makale / Kitap İncelemesi
- Cilt numarası: 28 Sayı: 1
- Basım Tarihi: 2024
- Dergi Adı: LANGUAGE LEARNING & TECHNOLOGY
- Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, IBZ Online, ERIC (Education Resources Information Center), Linguistic Bibliography, Linguistics & Language Behavior Abstracts, MLA - Modern Language Association Database, Psycinfo, Directory of Open Access Journals
- Sayfa Sayıları: ss.1-4
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet
Özet
An addition to the series, “New Directions in Computer Assisted Language Learning,” Individual
Differences in Computer Assisted Language Learning Research is a brief, research-oriented initiative that
describes the role of individual differences (ID) in computer-assisted language learning (CALL). At the
beginning of the text, Pawlak and Kruk (2023) emphasize that different combinations of internal ID factors
create unique learner profiles. According to the authors, these internal factors can have a stronger impact
on learning outcomes than external factors, such as access to L2 input, materials, teachers, and technology.
The authors claim that research on ID factors has been unsystematic and inadequate (despite their
importance to language learning), with ID factors receiving scarce attention in key overview papers in
CALL. To justify their effort to undertake this work, the authors argue that there appears to be an
unbalanced focus on certain ID variables in second language acquisition (SLA) research, along with a
failure to consider the relationships between different ID variables.