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Generative Artificial Intelligence in the teaching activities of academic teachers and students
- Source :
- International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 4, Pp 1043-1048 (2024)
- Publication Year :
- 2024
- Publisher :
- Polish Academy of Sciences, 2024.
-
Abstract
- The study aimed to learn about the experiences and opinions of students and academic teachers regarding the use of artificial intelligence in higher education. The question was answered to what extent and in what way do students and academic teachers of APS use AI in their studies and work? A diagnostic survey method was used, and original survey questionnaires were used. The study involved 58 academic teachers and 139 students. A significant number of academic teachers do not use artificial intelligence, and some of them express open disapproval of its use in education. These concerns include the negative impact of AI on the teaching process and the risks associated with verifying knowledge. A small number of lecturers use AI mainly to search for or create teaching materials. They use AI to prepare lesson plans, generate images, or make classes more attractive. In turn, some of them fear that AI may encourage students to abuse technology in the educational process. Most students declare that they do not use AI, and some are afraid of its inaccuracy and the possibility of making mistakes. Of the students who use AI, they mainly use it to search for information, simplify and correct their work, and create new materials. There is a clear discrepancy between the needs and goals of lecturers and students in the context of AI use. Lecturers perceive AI as a tool to support teaching, but with concerns about its ethical and practical application, while students treat AI as a tool to facilitate everyday learning tasks. The results suggest the need to implement training on the ethical use of AI and its full potential for both lecturers and students to prepare them for the upcoming technological changes in education.
Details
- Language :
- English
- ISSN :
- 20818491 and 23001933
- Volume :
- . 70
- Issue :
- 4
- Database :
- Directory of Open Access Journals
- Journal :
- International Journal of Electronics and Telecommunications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.34250377276f483c849ed7c7af270699
- Document Type :
- article
- Full Text :
- https://doi.org/10.24425/ijet.2024.152092