Optimizing Artificial Intelligence Usage among Academicians in Higher Education Institutions

Zahir Osman; Noral Hidayah Alwi; Khairul Hamimah Mohamad Jodi; Bibi Nabi Ahmad Khan; Mohammad Naim Ismail; Yuzery Yusoff

Artificial Intelligence (AI) is becoming a transformative force in higher education and offers tremendous potential to reshape the academic landscape. With the power of artificial intelligence, educators and researchers can use advanced tools to perform complex tasks such as data analysis, predictive modeling, and breakthrough insights. This study delves into the complex relationships between attitudes, perceived usefulness, perceived ease of use, trust, intentions, and AI usage in academia. The research framework is based on four different variables: attitude, perceived usefulness, perceived ease of use, and trust, with intention as the mediator and AI use as the outcome variable. To collect primary data, a thorough survey was designed and conducted based on previous research. Structural equation modeling, known for its ability to analyze complex interactions between variables, was used to analyze a comprehensive data set of 362 responses, and convergent and discriminant validity was confirmed. Evaluation of the structural model crucially confirmed the hypotheses and revealed nine direct relationships and four mediated relationships. Notably, seven of the nine direct hypotheses and all four mediating hypotheses were supported. These results highlight the profound importance of these factors in shaping user intentions and facilitating the effective integration of AI into academia. In addition to the empirical findings, this study contains very important theoretical implications, highlighting the central role that attitudes, perceived usefulness, perceived ease of use, and trust play in influencing intentions and subsequent behavior related to AI integration. As educators around the world work to integrate artificial intelligence into their teaching and research, the relevance of this research extends to actionable insights that can inform policymaking, curriculum development, and the development of educational paradigms.

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(Osman et al., 2024)
Osman, Z., Alwi, N. H., Jodi, K. H. M., Khan, B. N. A., Ismail, M. N., & Yusoff, Y. (2024). Optimizing Artificial Intelligence Usage among Academicians in Higher Education Institutions. International Journal of Academic Research in Accounting Finance and Management Sciences, 14(2), 1–19.

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Optimizing Artificial Intelligence Usage among Academicians in Higher Education Institutions

Zahir Osman, Noral Hidayah Alwi, Khairul Hamimah Mohamad Jodi, Bibi Nabi Ahmad Khan, Mohammad Naim Ismail, Yuzery Yusoff

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