AI-assisted language learning: ChatGPT's impact on mastering English tenses at the university level
This study investigates the role of ChatGPT in supporting university students' mastery of English verb tenses. Over two semesters, 66 students at a technical university were assigned to one of three instructional modes: independent use of ChatGPT (at home), ChatGPT use with teacher guidance (in-class), or traditional instruction without AI (in-class). Pre- and post-tests measured grammar learning gains, while transcripts of student-ChatGPT interactions were analyzed to assess engagement levels. A post-study questionnaire captured students' perceptions of ChatGPT's usefulness and motivational impact. Findings show that students who used ChatGPT with teacher guidance achieved the highest average learning gains, while those who used the tool independently showed more variable results. Higher engagement levels with ChatGPT strongly correlated with greater improvement, emphasizing that the tool's effectiveness depends on how actively it is used. Students generally found ChatGPT enjoyable and appreciated its immediate feedback, though some reported challenges with inconsistent responses. This study contributes to the field by providing empirical evidence on how different modes of ChatGPT integration influence grammar learning outcomes. It highlights the importance of instructional design and learner engagement when incorporating AI tools, suggesting that ChatGPT is most effective when used as part of a guided, interactive learning environment. • ChatGPT with teacher guidance led to the highest grammar learning gains. • Student engagement level strongly correlated with test performance improvement. • Learners appreciated ChatGPT's immediate feedback and ease of use. • Independent use of ChatGPT showed variable results tied to student motivation. • ChatGPT was most effective when integrated into a guided learning environment.
Authors
- Alice Lukešová
- P. Jennings
Institutions
- University of Ostrava (CZ)
- Czech Technical University in Prague (CZ)
Publication Details
- Journal
- Social Sciences & Humanities Open
- Published
- 2026-02-03
- DOI
- https://doi.org/10.1016/j.ssaho.2026.102532
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00