The findings revealed a general agreement among students regarding the positive role of AI in enhancing learning experiences, increasing assignment efficiency, and developing skills relevant to future careers, however, lower mean scores in areas such as reliance on AI for research and collaboration suggest a need for further support and training.
Abstract
This study explores the perceptions of college students toward the integration of Artificial Intelligence (AI) in education, with a focus on its general use, role in learning processes and outputs, and associated ethical concerns such as transparency, fairness, privacy, and data security. A total of 293 students from the Nueva Ecija University of Science and Technology – Gabaldon Campus participated in the study, representing various programs including Agriculture, Education, Information Technology, and Hospitality Management. A validated researcher-made questionnaire was used, comprising 25 items distributed across five constructs. Data were analyzed using descriptive statistics, mean and standard deviation, to determine levels of agreement, while Principal Components Analysis (PCA) was employed to examine communalities and ensure construct validity. The findings revealed a general agreement among students regarding the positive role of AI in enhancing learning experiences, increasing assignment efficiency, and developing skills relevant to future careers. However, lower mean scores in areas such as reliance on AI for research and collaboration suggest a need for further support and training. Notably, students expressed high confidence in the ethical management of their data, with strong agreement on institutional safeguards and transparency in data usage. Communality values ranging from 0.459 to 0.889 indicated that most items were well-represented within their respective constructs. The results highlight both the benefits and challenges of AI integration in education. The study recommends that institutions enhance AI-related communication, training, and ethical safeguards to support students in maximizing the potential of AI tools in their academic and professional development.
Engagement with AI differed according by academic year and discipline, with higher involvement among early-year and engineering students, while infrastructural and institutional barriers restricted wider adoption.
Artificial intelligence (AI) has become increasingly prominent in higher education, offering new possibilities for improving teaching practices and student learning experiences. Despite its growing adoption, limited evidence exists regarding how students perceive the benefits, challenges, and ethical implications assoc...
H. U. C. P. Hewawasam, D. Saparamadu· Sabaragamuwa University Jour...· 0 citations
Students' perceptions of AI-based personalised learning tools in Malaysian higher education institutions are examined to provide insights for developers, academic institutions, and policymakers regarding AI personalised learning tool selection, syllabus development, and integration strategies.
Noor Hafizah Hassan, Cheryssa Wong Kai Ying, P. Govindasamy et al.· Edelweiss Applied Science an...· 0 citations
The findings revealed that undergraduate students had a positive attitude towards the use of Artificial Intelligence in education and a statistically significant difference was found between Arts and Science students with Science students demonstrating a more positive attitude than Arts students.
Abinash Neog· International Journal For Mu...· 0 citations
The findings reveal that EFL students demonstrate high familiarity with AI applications, especially for language learning, doing tasks, and perceive AI as a supportive learning assistant that enhances efficiency, autonomy, and confidence.
Suratman Dahlan, A. Usman, Awaludin Rizal et al.· Journal of Language Teaching...· 0 citations
The increasing integration of AI in education imposes the need to examine the competencies of teachers for its pedagogically meaningful, safe, and responsible application. The goal of this research was to examine the self-assessments of teachers’ AI-related competencies, as well as to determine whether there were stati...
Aleksandra Milanović, Jelena Maksimović, L. Stošić· Education sciences· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.