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Students' Intention to Engage With ChatGPT and Artificial Intelligence in Higher Education Business Studies Programmes: An Initial Qualitative Exploration

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Vydáno v:International Journal of Distance Education Technologies vol. 22, no. 1 (2024), p. 1
Hlavní autor: Benuyenah, Vic
Další autoři: Dewnarain, Senika
Vydáno:
IGI Global
Témata:
Qualitative analysis
Algorithms
Students
Business education
Artificial intelligence
Ethics
Chatbots
Education
Distance learning
Colleges & universities
Transparency
Higher education
Labor force
College students
Research ethics
Human-computer interaction
Privacy
Student attitudes
Qualitative research
Business students
Educational programs
Moral Issues
Business Schools
Literature Reviews
Writing Ability
Influence of Technology
Distance Education
English (Second Language)
Periodicals
Second Languages
Cheating
Native Speakers
Intention
Educational Assessment
Student Writing Models
Learner Engagement
English
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Abstrakt:This initial qualitative study used in-depth interview data from students to examine their perceptions of ChatGPT and intentions regarding using artificial intelligence (AI) in higher education. The students were sampled across business programmes at both the undergraduate and postgraduate levels at an International University in the UAE. As of mid-2023, understanding student attitudes becomes crucial as AI increasingly becomes integrated into educational settings, therefore necessitating initial research. Additionally, the ethical dimension of ChatGPT use in assessment and future impact on careers was explored, considering concerns related to privacy, data security, bias, and transparency. Whilst all participants reported that they were familiar with the chatbot, a proportion of them indicated that the tool could help them improve their assignments, particularly in improving grammar. Some participants expressed concerns about the algorithm behind ChatGPT as well as the potential displacement of the labour force.
ISSN:1539-3100
1539-3119
DOI:10.4018/IJDET.348061
Zdroj:ABI/INFORM Global