JOURNAL ARTICLE

Generative AI as a Coach to Help Students Enhance Proficiency in Question Formulation.

  • Published In: Journal of Educational Computing Research, 2025, v. 63, n. 3. P. 565 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Kim, Paul; Wang, Wilson; Bonk, Curtis J. 3 of 3

Abstract

The article focuses on the development and evaluation of Ask.SMILE, a generative AI web application designed to assess and improve the cognitive complexity of questions posed by educators, based on Bloom's Taxonomy. Over a three-month period, 2,559 educators submitted 25,973 questions, with analyses showing a statistically significant progression from lower-order (recall) to higher-order (creative and evaluative) questions, indicating enhanced inquiry skills. Using a Linear Mixed Model and ANOVA, the study confirmed the effectiveness of Ask.SMILE in fostering deeper cognitive engagement, while participant surveys highlighted both appreciation for the tool's potential and suggestions for further refinement. The findings suggest that AI-driven platforms like Ask.SMILE can support inquiry-based learning and critical thinking development across diverse educational settings, though future research is needed to explore broader applications and address limitations such as user identification and subject-specific adaptations.

Additional Information

  • Source:Journal of Educational Computing Research. 2025/06, Vol. 63, Issue 3, p565
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2025
  • ISSN:07356331
  • DOI:10.1177/07356331251314222
  • Accession Number:184035048
  • Copyright Statement:Copyright of Journal of Educational Computing Research is the property of Sage Publications Inc. 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.)

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