Effectiveness and guidance of artificial intelligence chatbots in diagnosing exponential expression errors
Nezihe Korkmaz Güler and
Bahadır Yıldız
The Journal of Educational Research, 2025, vol. 118, issue 6, 547-567
Abstract:
The aim of this study is to evaluate the capacity of ChatGPT-4 and Gemini chatbots in detecting and addressing students’ misconceptions related to exponential expressions. Responses from nine students in southern Türkiye to a conceptual test on exponential expressions were analyzed by these chatbots. The findings indicate that both ChatGPT-4 and Gemini were partially successful in identifying and correcting students’ misconceptions. However, ChatGPT-4 outperformed Gemini in this area. Both chatbots were able to provide appropriate guidance in certain cases. Nevertheless, ChatGPT-4 demonstrated superior ability in interacting with students and responding to their inputs. On the other hand, Gemini was more effective in offering accurate solutions and feedback. The study reveals that chatbots may encounter difficulties in detecting and correcting conceptual misunderstandings. To ensure the effective use of chatbots in educational settings, the study recommends the integration of synchronous and asynchronous classroom environments in which teachers can closely monitor student responses.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00220671.2025.2510387 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:vjerxx:v:118:y:2025:i:6:p:547-567
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/vjer20
DOI: 10.1080/00220671.2025.2510387
Access Statistics for this article
The Journal of Educational Research is currently edited by Mary F. Heller
More articles in The Journal of Educational Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().