The Use of Artificial Intelligence (AI) in Enhancing Teaching and Learning in Private Universities.
Keywords:
Artificial Intelligence, Teaching and Learning, Private University, Academic Performance, SatisfactionAbstract
This research aims to study the impact of Artificial Intelligence (AI) on teaching and learning in private universities using a mixed-methods approach, combining quantitative and qualitative research. Data were collected from faculty members and students through surveys and in-depth interviews. The findings indicate that AI significantly enhances academic performance, with students' average scores increasing from 72 to 85 after AI implementation. Additionally, both faculty members and students exhibited high levels of satisfaction with AI, with students expressing greater acceptance. These findings align with the Technology Acceptance Model (TAM) and Constructivist Learning Theory. However, concerns remain regarding excessive dependence on AI and ethical considerations. Therefore, it is recommended that guidelines be established for the appropriate use of AI in education.
References
• Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. The Cambridge Handbook of Artificial Intelligence, 316-334.
• Carr, N. (2010). The Shallows: What the Internet Is Doing to Our Brains. W.W. Norton & Company.
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
• Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media.
• Garrison, D. R., & Vaughan, N. D. (2008). Blended learning in higher education: Framework, principles, and guidelines. John Wiley & Sons.
• Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017-1054.
• Prensky, M. (2001). Digital natives, digital immigrants part 1. On the Horizon, 9(5), 1-6.
• Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285.
• Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
• van Dijk, J. (2005). The deepening divide: Inequality in the information society. SAGE Publications.
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