Original Research
Assessment of Reading via AI-Led Oral Conversations: Challenges and Benefits
- Abstract
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This study explores integrating an artificial intelligence tool into English as a Foreign Language (EFL) reading assignment, with a focus on on participants’ experiences with AI-facilitated conversations about academic passages. Thirty participants engaged with the tool through both written and spoken interactions based on AI-generated questions. Analysis of journal entries and interview responses revealed that participants valued the tool for enhancing engagement, providing immediate feedback, and facilitating critical thinking and speaking practice. However, challenges such as limited understanding, technical issues, and privacy concerns were noted. The findings suggest that chatbots can effectively supplement classroom interactions by offering pre- and post-class conversations about readings. Future research should refine AI tool design and implementation to better meet learners’ needs and investigate the impact on reading achievement and written work assessment.
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Keywords
Reading Assessment; EFL; Artificial Intelligence; Chatbot
Author(s) Information
Publisher’s Note
The claims, arguments, and counter-arguments made in this article are exclusively those of the contributing authors. Hence, they do not necessarily represent the viewpoints of the authors’ affiliated institutions, or EUROKD as the publisher, the editors and the reviewers of the article.
Acknowledgements
The first author would like to to express his sincere gratitude to the Polish National Agency for Academic Exchange (NAWA) for their support under the Ulam NAWA Programme.
Funding
Not applicable.
CRediT Authorship Contribution Statement
Ferit Kılıçkaya: led the conceptualization and overall design of the study, and was responsible for data collection, analysis, and interpretation.
Joanna Kic-Drgas: contributed primarily to the writing of the findings and discussion sections, refining the analytical narrative and situating the results within the broader literature.
Generative AI Use Disclosure Statement
The manuscript has been revised and linguistically refined with the assistance of digital tools using Grammarly and ChatGPT.
Ethics Declarations
World Medical Association (WMA) Declaration of Helsinki–Ethical Principles for Medical Research Involving Human Participants
All participants were informed about the study, their voluntary participation, and their right to withdraw without penalty. Informed consent was obtained prior to data collection, and all data were anonymized to ensure confidentiality and privacy throughout the research process.
Competing Interests
There are no completing interests.
Data Availability
Dava available upon request.