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July 10, 2026Language Learning0 citations

Digitally Empowered Assessment of Interactional Competence in a Second Language: Commentary

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NTNaoko Taguchi

Key Points

  • This commentary explores themes in assessing interactional competence using digital tools and suggests future research directions.
  • Examines existing literature on digital assessment tools for interactional competence.
  • Identifies three key areas for further research and development in digital assessment strategies.
  • Discusses the role of AI in enhancing assessment tasks related to interactional competence.
  • Highlights the need for more refined rubric descriptors tailored to interactional competence in digital environments.
  • Emphasizes the importance of intersubjectivity in evaluations involving AI-powered conversation partners.
  • Calls for a critical approach beyond mere practicality in the use of digital assessment methods.

Abstract

Abstract This commentary underscores the common themes that emerged in the papers in this volume. Based on the themes, three specific areas of future directions are highlighted: (a) going beyond practicality arguments when using digital assessment tools, (b) developing rubric descriptors specific to interactional competence in digital spaces, and (c) promoting intersubjectivity with artificial intelligence (AI)‐powered conversation partners in interactional competence assessment tasks.

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Cite This Study

Naoko Taguchi (2026) studied this question.

synapsesocial.com/papers/6a508b966eeac72a437a035fhttps://doi.org/10.1111/lang.70049
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Assessing Digital Interactional Competence for Second‐Language and First‐Language Chinese Speakers: Effects of Proficiency, Mode, and Setting2026 · 2 citations
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  5. 5Language assessment in the era of generative artificial intelligence: Opportunities, challenges, and future directions2025 · 21 citations