Students' Awareness and Perception Regarding the Usage of AI in Education at Government College University, Faisalabad
The ever-increasing presence of artificial intelligence (AI) in the field of education across the world necessitates studies on the student's awareness and perception of its usage in their learning environment. This research investigates students' perspectives and understanding regarding artificial intelligence in their academic pursuits at the government college university, Faisalabad, Pakistan. The research used a quantitative method-based survey design. The study's population consisted of students from two distinct departments: Computer Science and Education at the University. The results of the study indicated that while students recognize the presence of AI in their educational experiences, their understanding of its potential as a writing aid, plagiarism detection tool, and research assistance resource remains quite limited. In a similar vein, students' perceptions regarding the integration of AI in educational settings were measured as moderate, with respondents recognizing that these innovative technologies have the potential to enhance user satisfaction effectively. The research recommends that it is essential for the government to implement periodic training and workshops for students nationwide, focusing on the applications and ethical considerations of AI in improving educational practices. This will equip the learners and ensure their relevance in the current landscape of technological advancement.
Authors
- Muhammad Younas (ORCID: https://orcid.org/0000-0001-5368-3341)
- Tahir Mahmood (ORCID: https://orcid.org/0000-0001-7591-8922)
- Shoukat Ali (ORCID: https://orcid.org/0000-0001-9887-4352)
- Muhammad Khushnood Ashraf
- Sumaya Akter (ORCID: https://orcid.org/0009-0008-0407-7722)
- Rizwan Abbas Nasimi
Institutions
- University of Information Technology and Sciences (BD)
- University of Agriculture Faisalabad (PK)
Publication Details
- Journal
- Journal of Social Sciences Advancement
- Published
- 2024-12-17
- DOI
- https://doi.org/10.52223/jssa24-050410-106
- Citations
- 1
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.41