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Publishing on CALL Products in the Age of AI: Updating Guidelines for Authors.

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Title: Publishing on CALL Products in the Age of AI: Updating Guidelines for Authors.
Authors: Smith, Bryan1 (AUTHOR), Vorobel, Oksana2 (AUTHOR)
Source: CALICO Journal. 2026, Vol. 43 Issue 2, p171-178. 8p.
Subject Terms: *Artificial intelligence, *Computer assisted language instruction, *Ethical problems, *Second language acquisition, User interfaces, Research protocols
Abstract: This article focuses on the evolving landscape of computer-assisted language learning (CALL) research, particularly in light of the rise of generative artificial intelligence (AI) technologies integrated into language learning products. It highlights ongoing challenges such as the disconnect between product development and second language acquisition (SLA) theory, the need for theoretically grounded and methodologically rigorous studies, and concerns about generalizability and ethical considerations. The article calls for a shift in CALL product studies from evaluating static tools to examining dynamic learner-system interactions, emphasizing transparency, theoretical framing, and distinguishing language learning from performance. Additionally, it outlines updated guidelines for researchers studying AI-mediated CALL products to ensure relevance, rigor, and ethical responsibility in this rapidly changing field. [Extracted from the article]
Copyright of CALICO Journal is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Publishing on CALL Products in the Age of AI: Updating Guidelines for Authors.
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  Data: <searchLink fieldCode="AR" term="%22Smith%2C+Bryan%22">Smith, Bryan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vorobel%2C+Oksana%22">Vorobel, Oksana</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22CALICO+Journal%22">CALICO Journal</searchLink>. 2026, Vol. 43 Issue 2, p171-178. 8p.
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  Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+assisted+language+instruction%22">Computer assisted language instruction</searchLink><br />*<searchLink fieldCode="DE" term="%22Ethical+problems%22">Ethical problems</searchLink><br />*<searchLink fieldCode="DE" term="%22Second+language+acquisition%22">Second language acquisition</searchLink><br /><searchLink fieldCode="DE" term="%22User+interfaces%22">User interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Research+protocols%22">Research protocols</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This article focuses on the evolving landscape of computer-assisted language learning (CALL) research, particularly in light of the rise of generative artificial intelligence (AI) technologies integrated into language learning products. It highlights ongoing challenges such as the disconnect between product development and second language acquisition (SLA) theory, the need for theoretically grounded and methodologically rigorous studies, and concerns about generalizability and ethical considerations. The article calls for a shift in CALL product studies from evaluating static tools to examining dynamic learner-system interactions, emphasizing transparency, theoretical framing, and distinguishing language learning from performance. Additionally, it outlines updated guidelines for researchers studying AI-mediated CALL products to ensure relevance, rigor, and ethical responsibility in this rapidly changing field. [Extracted from the article]
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  Data: <i>Copyright of CALICO Journal is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3138/calico-43-2-Smith
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        Text: English
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      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Computer assisted language instruction
        Type: general
      – SubjectFull: Ethical problems
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      – SubjectFull: Second language acquisition
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      – SubjectFull: User interfaces
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      – SubjectFull: Research protocols
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              Text: 2026
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