Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817, Mahato, Ghanshyam and Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029 (2025) Unveiling the ChatGPT Educational Revolution: Assessing the Dynamic Impact on Students and Educators. Journal of Data Science and Intelligent Systems.

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Abstract

Due to shifting social demands and technology breakthroughs, the higher education environment is changing quickly. Despite initiatives to make education accessible to everyone, accessibility is still a major problem, especially in light of the digital divide. This study investigates how ChatGPT, an AI-powered chatbot, can revolutionize higher education by tackling important problems including resource efficiency, personalized learning, and accessibility. This study intends to improve learning outcomes for both students and educators by comprehending how instructors and students incorporate ChatGPT into instructional methods. Students and instructors were given both quantitative and qualitative questionnaires as part of a mixed-methods approach, in order to gather data on the usage of ChatGPT for different academic tasks, such as lesson preparation, grading, and student help. Results showed that most people believe ChatGPT to be a useful tool that improves productivity, saves time, and helps with grasping difficult subjects. Questions were raised concerning the veracity of the data that ChatGPT offered and the necessity of organized training. ChatGPT and other AI technologies have the potential to enhance educational results by enabling personalized instruction and offering on-demand learning help. In addition to the continuing discussion on the use of cutting-edge technology in higher education, the findings provide insightful information for educational institutions seeking to use AI to improve teaching and learning. Received: 16 September 2024 | Revised: 9 April 2025 | Accepted: 15 July 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Swathi Ganesan: Conceptualization, Methodology, Data curation, Writing – Original draft, Writing – review and editing, Visualization, Project administration. Lakmali Karunarathne: Conceptualization, Methodology, Formal analysis, Data curation, Writing – original draft, Writing – review and editing, Visualization, Project administration. Ghanshyam Mahota: Methodology, Formal analysis, Writing – original draft. Sangita Pokhrel: Conceptualization, Writing – review and editing, Visualization.

Item Type:	Article
Status:	Published
DOI:	10.47852/bonviewJDSIS52024358
Subjects:	L Education > LB Theory and practice of education L Education > LB Theory and practice of education > LB1028.43 Artificial intelligence. Educational applications L Education > LB Theory and practice of education > LB2300 Higher Education
School/Department:	London Campus
URI:	https://ray.yorksj.ac.uk/id/eprint/12667

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