AI Leadership for Technology Adoption in Higher Education: A Conceptual Framework and Validation in Henan Province
Abstract
The purpose of this concept paper is to investigate how university administrations in Henan Province, China, may use artificial intelligence to encourage the use of new technologies. Due to transcendent change of AI in education, strong leadership is essential for the seamless integration of AI into both administrative and instructional processes. However, it is found that frameworks that address contextualized unique challenges of AI adoption in academic settings are lacking. This paper proposes a theoretical framework for AI leadership that encompasses salient tenets from extant models, such as the Technology Acceptance Model (TAM), Diffusion of Innovations Theory (DIT), and Transformational Leadership Theory (TLT). In employing the framework, educational leaders will be more equipped to prepare for the AI of the future and building an institution's capacity to adopt emerging technologies. This framework, thus, culminates into a strategic guide directed at creating an ambience of innovation in education. This concept paper presents a pragmatic instrument allowing higher education leaders of Henan to manage the complexity of AI implementation and stimulate onward pedagogical innovation.
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