Exploring the Role of ChatGPT and social media in Enhancing Student Evaluation of Teaching Styles in Higher Education Using Neutrosophic Sets

Abstract

This paper provides an in-depth analysis of how Chat GPT and social media can be used as tools for capturing real-time student feedback on teaching styles in higher education. The study employs neutrosophic sets to deal with the uncertainties and ambiguities that arise in student evaluation data. Traditional methods of evaluating teaching styles in higher education, such as paper-based surveys, may not fully capture the nuanced experiences of students in the classroom. Recent advancements in chatbots, such as ChatGPT, and the growing use of social media platforms offer new opportunities for more efficient and effective methods of evaluating teaching styles. However, there are significant challenges in using these technologies, including the handling of indeterminate and uncertain data. Neutrosophic sets provide a mathematical framework for handling ambiguity and uncertainty in data and can be used to better capture the complex and multifaceted aspects of student experiences in the classroom. Additionally, the use of chatbots and social media platforms raises practical and ethical concerns that must be addressed in the evaluation process. This study aims to explore the role of ChatGPT and social media in enhancing student evaluation of teaching styles in higher education using neutrosophic sets, while also addressing the practical and ethical challenges that arise from their use.