1. SIVAPRIYA J - Lecturer, Department of English, School of Allied Health Sciences, Mahatma Gandhi Medical College & RI,
Sri Balaji Vidyapeeth, (Deemed to be University), Pondicherry, India.
2. VAISHNAV KUMAR B - Assistant Professor, Department of Orthopaedics, Sri Venkateshwaraa Medical College Hospital and
Research Centre, Ariyur, Puducherry, Pondicherry University, India.
3. LAVANYA B - Assistant Professor, Department of Community Medicine, Shri Sathya Sai Medical College and Research
Institute, Sri Balaji Vidyapeeth, (Deemed to be University), Chengalpattu District, Tamil Nadu, India.
4. UMA AN - Professor, Department of Medical Genetics, & Principal, School of Allied Health Sciences, Mahatma Gandhi
Medical College & RI, Sri Balaji Vidyapeeth, (Deemed to be University), Pondicherry, India.
5. SOWMYA D - Assistant Professor, Department of Computer Science, School of Allied Health Sciences, Mahatma Gandhi
Medical College & RI, Sri Balaji Vidyapeeth, (Deemed to be University), Pondicherry, India.
6. SOWMIYA DEVI R - Lecturer, Department of Anaesthesia Technology, School of Allied Health Sciences, Mahatma Gandhi
Medical College & RI, Sri Balaji Vidyapeeth, (Deemed to be University), Pondicherry, India.
The aim of this study was to explore student perceptions regarding the use of Artificial Intelligence (AI) in higher education. AI can play a role in various aspects of higher education, including the teaching-learning process, admissions, placements, and administrative functions. This paper highlights the perceptions of Para medical students enrolled in Allied Health sciences programs on the use of AI. An online questionnaire was used to gather both quantitative and qualitative responses from 600 students. Statistical methods, including ordination regression and correlation analysis, were applied to interpret the data. The qualitative responses provided valuable insights into students' viewpoints. The findings reveal that students perceive AI as an effective tool for enhancing the teaching-learning process and academic administration, but they believe it should not be applied to certain areas such as admissions, examinations, and placements.
Artificial Intelligence, Student Perceptions, Higher Education, Business Management, Teaching-Learning Process, Academic Administration, Admissions, Placements, Examinations, Statistical Analysis, Quantitative and Qualitative Research.