Shaping the Future of Higher Education with Artificial Intelligence
Generative Artificial Intelligence (AI) revolutionizes higher education by enhancing learning experiences, creativity, and administrative efficiency.With advancements from probabilistic models to sophisticated transformer-based architectures, AI enables personalized learning tailored to individual needs and aids educators in effectively conveying complex subjects.It automates administrative tasks, provides data-driven insights, and improves accessibility through AI-powered tutoring and content development.Additionally, generative AI creates immersive experiences in fields like healthcare and engineering, fostering engagement and innovation.However, ethical issues about AI-generated material require more attention.The responsible integration of generative AI holds transformative potential for a more inclusive and inventive educational landscape.This study examines AI and data science, emphasizing the techniques and procedures of transformers that underpin all concepts and models of artificial intelligence.Primary data collected from Indore, Ujjain and Bhopal City that indicates artificial intelligence is fast revolutionising the professional arena in higher education.In this research study included 2000 management students from different cities included along with 220 Faculty members' respondents from all three cities.In higher education, AI transforms learning and teaching, enhancing students' academic performance and faculty members' efficiency.Students use AI tools for personalized learning, resource access, and assignment support.Faculty members use AI for grading, feedback, and classroom engagement.Both groups emphasize balanced integration for optimal benefits.
Authors
- Ankita Sharma (ORCID: https://orcid.org/0009-0009-5873-2195)
- Raghav Sharma (ORCID: https://orcid.org/0000-0002-1532-6674)
- Partha Sarathi Mukherjee (ORCID: https://orcid.org/0000-0002-9254-5416)
Publication Details
- Published
- 2025-01-27
- DOI
- https://doi.org/10.26573/2025.22.1.23
- Primary Topic
- Engineering Education and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00