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Attitude Towards AI: A Comparison Among Teachers and Students in TNE
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Author(s): Soumya T. Varghese (O.P. Jindal Global University, India)and Angel Selvaraj (O.P. Jindal Global University, India)
Copyright: 2025
Pages: 16
Source title:
Bridging Global Divides for Transnational Higher Education in the AI Era
Source Author(s)/Editor(s): Fawad Naseer (Beaconhouse International College, Pakistan), Cheryl Yu (Jimmy Choo Academy, UK), Rhytheema Dulloo (Hindustan Institute of Technology and Science, India), Munshi Muhammad Abdul Kader Jilani (Bangladesh Institute of Governance and Management, University of Dhaka, Bangladesh)and Momina Shaheen (University of Roehampton, UK)
DOI: 10.4018/979-8-3693-7016-2.ch014
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Abstract
Understanding the attitude towards AI among teachers and students is meaningful as it will enhance the adaptive and transformative process in a collaborative and meaningful manner. This research adopted a survey method by distributing questionnaires to understand attitudes. The participation was voluntary after expressing consent. The sampling method was convenient, and the size of the participants was 25. The questions were mostly open-ended to understand the attitude. The greater majority of the participants (91%) responded that they rely on AI sometimes only and the rest of them (9%) responded that they never used AI in their teaching or learning processes. The factors that led them to explore AI induced teaching and learning choices were of four different categories like, advance knowledge gain, Support for academic assignments, research support and time management. Among these factors the research category is the predominant factor with a weightage of 33% followed by time management (29%), support for academic assignments (29%), and advance knowledge gain (9%).
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