Abstract:

Higher education institutions and their stakeholders stand to gain numerous advantages from the integration of artificial intelligence (AI), particularly through the implementation of diverse data analytics strategies aimed at generating summative, real-time, and predictive insights and recommendations. Despite the potential benefits, a critical question arises: are these institutions and their academic and administrative personnel adequately equipped to embrace the challenges and opportunities presented by Artificial Intelligence (AI)?

This study employed the IA benefits matrix as a comprehensive tool to assess the existing capabilities of AI within higher education institutions. The primary objectives were to delve into the current landscape of AI, emphasize the need for a robust AI framework, and gauge perceptions regarding the significance of derived insights. The investigation highlighted several key findings that shed light on the prevailing conditions within the educational landscape.

One prominent observation is the apparent shortage of both qualified personnel and advanced technology necessary for the successful implementation of learning analytics projects. This deficiency poses a considerable obstacle to the full realization of the potential benefits of AI in the academic sphere. The absence of essential resources raises questions about the preparedness of educational institutions to harness the transformative power of AI effectively.

The study underscores the urgency of addressing these deficiencies by advocating for the development and implementation of targeted initiatives to enhance the capacity of academic and administrative staff. This involves not only investing in cutting-edge technology but also providing relevant training and resources to empower individuals to navigate the complex terrain of AI.

Furthermore, the study advocates for a more in-depth exploration of the validity of existing AI frameworks. While AI holds immense promise, it is imperative to ensure that the frameworks governing its implementation are robust, reliable, and aligned with the unique challenges and objectives of higher education. Rigorous empirical research is deemed necessary to validate the efficacy of these frameworks and ascertain whether the anticipated benefits in terms of learning and instructional improvements are realized.

In conclusion, the study emphasizes the need for a holistic approach to address the current gaps in AI implementation within higher education institutions. This involves not only overcoming technological and personnel limitations but also scrutinizing and refining the frameworks guiding the integration of AI in education. By conducting further empirical research, the education sector can move beyond high expectations and aspirations for AI, solidifying its foundation for a future where the promises of this emerging technology are not just potential but proven realities.

Keywords:

Intelligence artificial, Higher education, Change management, emerging technology.