Computer Assisted Language Learning is dedicated to publishing articles that enhance our understanding of the technology-mediated language learning process. Papers where language learning is not the focus or is demonstrably less important than other aspects will not be considered.
Submitted articles should have the following qualities: • show a rigorous research method informed by a strong theoretical underpinning; • explicitly build on previous research in the field, providing sufficient up-to-date references to relevant publications, especially those from CALL-related journals; • feature an experimental or observational method, and not be just surveys, pilot studies, or systematic reviews of literature; • display a clear logic behind the use of technology and a strong rationale in support of the research question, with these points being apparent in the abstract; • transcend the solely local aspect of the research context, demonstrating a contribution of potential broader relevance and generalizability.
Peer Review Policy: All research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymised refereeing by at least two anonymous referees.
Journal metrics
Usage
367K annual downloads/views
Citation metrics
6.0 (2023) Impact Factor
Q1 Impact Factor Best Quartile
6.8 (2023) 5 year IF
18.5 (2023) CiteScore (Scopus)
Q1 CiteScore Best Quartile
3.239 (2023) SNIP
2.370 (2023) SJR
Speed/acceptance
29 days avg. from submission to first
decision
60 days avg. from submission to first
post-review decision
12 days avg. from acceptance to online
publication
7% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors
who are deciding where to submit their next manuscript for publication.
However, any one metric only tells a part of the story of a journal’s
quality and impact. Each metric has its limitations which means that it
should never be considered in isolation, and metrics should be used to
support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside
other qualitative factors such as a journal’s aims & scope, its
readership, and a review of past content published in the journal. In
addition, a single article should always be assessed on its own merits and
never based on the metrics of the journal it was published in.
Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
months, based on the prior six months. Citation metrics are updated
annually mid-year. Please note that some journals do not display all of
the following metrics
(find out why).
Usage:
the total number of times articles in the journal were viewed by users
of Taylor & Francis Online in the previous calendar year, rounded to the
nearest thousand.
Citation Metrics
Impact Factor*:
the average number of citations received by articles published in the
journal within a two-year window. Only journals in the Clarivate Science
Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI),
Arts and Humanities Citation Index (AHCI) and the Emerging Sources
Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile*:
the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
CiteScore Best Quartile†:
the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
(Source Normalized Impact per Paper):
the number of citations per paper in the journal, divided by citation
potential in the field.
SJR
(Scimago Journal Rank):
Average number of (weighted) citations in one year, divided by the
number of articles published in the journal in the previous three years.
Speed/acceptance
From submission to first decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision. Based on manuscripts receiving a
first decision in the last six months.
From submission to first post-review decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision if it is sent out for peer review.
Based on manuscripts receiving a post-review first decision in the last
six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
Associate Editors: Antonie Alm - University of Otago, New Zealand Mónica S. Cárdenas-Claros - Pontificia Universidad Católica de Valparaíso, Chile Mirjam Hauck - Open University, UK Philip Hubbard - Stanford University, Stanford, USA Chun Lai - The University of Hong Kong, Hong Kong Qing (Angel) Ma - The Education University of Hong Kong, Hong Kong
Editorial Board:
Emerita Bañados- Universidad de Concepción, Chile Claire Bradin Siskin - USA Keith Cameron -Villa Effra, Nice, France Howard Hao-Jan Chen - National Taiwan Normal University, Taipei, Taiwan
Catia Cucchiarini - Radboud University Nijmegen, The Netherlands
Gülcan Erçetin - Bogazici University, Turkey Ana Gimeno-Sanz -Universitat Politécnica de València, Spain Peter Gobel -Kyoto Sangyo University, Kyoto, Japan
Greg Kessler - Ohio University, USA
Chun Lai - University of Hong Kong, Hong Kong Qing Ma - Education University of Hong Kong
Vera Menezes -Universidade Federal de Minas Gerais, Brasil
Hayo Reinders - Anaheim University, USA
Thomas Robb - Kyoto Sangyo University, Japan Mathias Schulze - University of Waterloo, Waterloo, Canada Bryan Smith - Arizona State University, USA
Jeong-Bae Son -University of Southern Queensland, Australia Siew Ming Thang - HELP University, Kuala Lumpur, Malaysia Cornelia Tschichold- Swansea University, UK Jane Vinther -University of Southern Denmark, Denmark Vivian Wen-Chi Wu -Providence University, Taiwan
Honorary Editor:
Jozef Colpaert - University of Antwerp, Belgium
Abstracting and indexing
Computer Assisted Language Learning is included in the following abstracting, citation and information retrieval systems: Arts & Humanities Citation Index®; British Education Index (BEI); Contents Pages in Education; Current Index to Journals in Education (CIJE); Educational Technology Abstracts; Education Resources Information Center ( ERIC); ERIH (European Reference Index for the Humanities, Pedagogical and Educational Research); INSPEC; Language Teaching; Linguistics Abstracts Online; Linguistics and Language Behavior Abstracts; MLA International Bibliography; Psychological Abstracts; PsycINFO; PsychLIT; SCOPUS® and the Social Sciences Citation Index®.
Open access
Computer Assisted Language Learning is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
Increase the discoverability and readership of your article
Make an impact and reach new readers, not just those with easy access to a research library
Freely share your work with anyone, anywhere
Comply with funding mandates and meet the requirements of your institution, employer or funder
Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
Would you like to advertise in Computer Assisted Language Learning?
Reach an engaged target audience and position your brand alongside authoritative peer-reviewed research by advertising in Computer Assisted Language Learning.
Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, Taylor & Francis, our agents (including the editor, any member of the editorial team or editorial board, and any guest editors), and our licensors, make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to, or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions .
Ready to submit?
Start a new submission or continue a submission in progress
![Sample our Education journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/110831/Subject-Sample-2021-Education.jpg"})