Improving Learning and Teaching Methods Using Chatgpt in Higher Education: A Case Study of IBB University
DOI:
https://doi.org/10.59421/joeats.v3i1.2481Keywords:
ChatGPT, Higher Education, Learning Methods, Teaching Methods, Artificial Intelligence, Natural Language GenerationAbstract
ChatGPT’s impressive natural language generation capabilities represent a major advance in practical applications of AI-generated information. The potential use cases for ChatGPT are wide-ranging, including assessment setup, translation tasks, and custom source code creation. It can also handle more complex aspects of scientific writing, such as summarizing the literature and paraphrasing text. The difficulties and challenges of using ChatGPT in learning and teaching methods vary from one society to another and from one country to another, and there are many factors. Therefore, this paper aims to investigate the possibility of improving learning and teaching methods using ChatGPT in higher education. It presents the main challenges and notable opportunities that arise from the introduction of ChatGPT in the context of higher education. In line with the aim, the question guiding the study is: “How can learning and teaching methods be improved using ChatGPT in higher education?” To answer this question, a qualitative exploratory case study was conducted at the Department of Information Technology, Faculty of Science, IBB University. An electronic questionnaire containing closed questions was sent to all students. 93 responses were obtained via email, which constituted the sample of participants in this study. The primary contribution of this study is to provide a proposal on how to effectively integrate ChatGPT into higher education and improve learning and teaching methods in key areas.
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