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A Behaviorally Informed Mobile App to Improve the Nutritional Quality of Grocery Shopping (SwapSHOP): Feasibility Randomized Controlled Trial

Abstract:
The rapid emergence of Artificial Intelligence (AI) technologies in education is beyond expectations. Many lecturers and students use AI tools such as ChatGPT, Chatbot, and Grammarly to teach and learn. As AI offers potential transformation to the education setting, it is important to understand students' experiences and attitudes towards the effectiveness of integrating AI tools in their language learning (Adiguzel et al., 2023; De la Vall et al., 2023; Sol et al., 2024). This study aims to explore perspectives and attitudes between International Islamic University Malaysia (IIUM) and Universiti Tun Abdul Razak (UNIRAZAK) students on Artificial Intelligence (AI) 's roles in language learning. The study uses a qualitative methodology through a series of in-depth interviews with language students at IIUM and UNIRAZAK in Kuala Lumpur. Three participants from each campus were chosen for this study. The results indicate that students valued the AI's efficiency and communication response towards their learning more than those who were concerned about the artificial human touch AI has to offer. Students reported various experiences when they used AI tools to complete their language projects, specifically in lexical items and grammatical structures. A few highlighted the need to enhance AI tools to assist their language learning further. Therefore, by highlighting the experiences and attitudes of students in AI-assisted language learning, the paper implies its endless potential in a supportive learning setting
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.2196/45854
Publication website:
http://irep.iium.edu.my/117138/1/PROCEEDINGS%20ICLC%20%28RESIZE%29.pdf

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-7536-922X
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-8252-9538
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-7030-1106
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-4257-1023
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-8804-9500


Publisher:
JMIR Publications
Journal:
JMIR mHealth and uHealth More from this journal
Volume:
12
Pages:
e45854-e45854
Publication date:
2023-11-27
DOI:
EISSN:
2291-5222
ISSN:
2291-5222


Language:
English
Keywords:
Pubs id:
1601409
Local pid:
pubs:1601409
Source identifiers:
W4389071188
Deposit date:
2026-06-05
ARK identifier:
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