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The use of AI-based educational technologies in higher education institutions is steadily increasing. Given their growing importance for competitive positioning, many universities are responding by developing AI policies, which we understand as expressions of institutional reactions to technological change. In our empirical study, we examine current university AI policies considering the institutional theory by Powell and DiMaggio (1983) to explore thematic priorities and overlaps. The aim is to understand the underlying dynamics of organizational transformation processes in higher education and to identify forms of isomorphism.

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