Optimizing the Use of Artificial Intelligence-Powered GPTs as Teaching and Research Assistants by Professors in Higher Education Institutions: A Study on Smart Utilization

Abstract

Purpose: Optimizing the effective utilization AI-powered GPts by professors in academics and research aims to address various objectives. Firstly, it seeks to explore the potential applications of AI-Powered GPTs in the Higher Education Industry. Secondly, the paper aims to assess the current utilization of AI-Powered GPTs by professors in Higher Education Institutions (HEIs). It further investigates the desired status of professors in employing AI-powered GPTs as Teaching and Research Assistants. Additionally, the research analyzes the roles of Teaching and Research Assistants for professors in HEIs, emphasizing the transformative impact of AI-powered GPTs in these roles. Methodology: Adopting exploratory research method, the paper contends that AI-powered GPTs can serve as invaluable virtual Teaching and Research Assistants, eliminating the need for human counterparts and enhancing overall productivity. Furthermore, ethical and legal considerations related to the use of AI-powered GPTs in these roles are evaluated. Result/Analysis: The paper uses ABCD analysis framework to analyse the advantages, benefits, constraints, and disadvantages of using AI-powered GPTs as teaching assistants and research assistants. The research paper concludes by providing practical recommendations on the strategic and ethical use of AI-powered GPTs by professors in Higher Educational Institutions and Universities, emphasizing their role as Teaching and Research Assistants to optimize academic and research responsibilities through ABCD analysis and Smart usage strategies. Originality/Value: The paper focuses on how Professors in HRIs and Universities can use AI-powered GPTs in an effective manner to eliminate the burden on their Teaching Assistants and Research Assistants and accelerate both academic responsibilities and research responsibilities to improve their productivity. Paper Type: Exploratory Research.