Investigating the use of Chat GPT in higher education; Challenges and solutions

Saeidi, Ali; Ghorbani, Alireza; Meiboudi, Hamed

doi:10.22034/jipm.2024.717684

Investigating the use of Chat GPT in higher education; Challenges and solutions

Document Type : Original Article

Authors

Ali Saeidi ¹

Alireza Ghorbani ²

Hamed Meiboudi ³

¹ Assistant Professor of Department of Psychology and Counselling, Farhangian University, P.O. Box 14665-889, Tehran, Iran

² Farhangian university, Mashhad, Iran

³ Department of Counseling and Guidance Education, Farhangian University, Mashhad, Iran

10.22034/jipm.2024.717684

Abstract

Considering the nature of the technology of software robots such as Chat GPT and their relationship with processing, retrieving and communicating knowledge and information, one of the areas that are affected by them is the field of higher education. This research has been done with the aim of identifying the key challenges of using Chat GPT in higher education and the upcoming opportunities for it as one of the artificial intelligence technologies. The current research is practical in terms of its purpose and the implementation process is such that first the challenges related to the subject are identified based on the literature review and then to reach the importance, leveling and connections between the challenges raised in the use of Chat GPT using the structural modeling method. Various challenges in the field of using Chat GPT in higher education, including incorrect information and low reliability, plagiarism, inequality of hardware and software equipment, lack of skills and knowledge of professors and students, lack of skills and knowledge of professors and students, the lack of application in some sciences, and the lack of emotional relationship between chatbots and humans were widely discussed. The results of the research showed that the challenge of inequality of hardware and software equipment and lack of skills, knowledge of professors and students at the first level, the challenge of incorrect information, low reliability and plagiarism at the second level and the challenge of lack of application in some sciences and lack of emotional relationship at the third level were placed

Keywords

Artificial Intelligence

Interpretive Structural Modeling

ChatGPT

Higher Education

Subjects

Smart and Recommender Systems

فهرست منابع

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