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. |
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| 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] |
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| Database: | Education Research Complete |
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| 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] |
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| ISSN: | 07427778 |
| DOI: | 10.3138/calico-43-2-Smith |
