The Impact of Artificial Intelligence on University Teaching Processes: An Analysis Based on Faculty Perspectives

Abstract

Artificial Intelligence (AI) technologies are developing, diversifying and increasing their impact on learning-teaching environments. Higher education, with its various disciplines and their instructional applications, is also significantly influenced by these developments. However, despite all this development, lecturers’ tendency to use AI for educational purposes is transforming depending on their thoughts and intentions on this issue. From this point of view, this study examines the views of lecturers on the possible effects of AI technologies on their teaching-learning processes. The participants were selected voluntarily from among the lecturers working at universities in Turkey with different positions and titles, taking into account the balance of experience, title and gender. The data collection package included an 8-question semi-structured data collection form developed by the researcher. The collected data were analyzed using inductive content analysis, enabling the identification of themes based on common concepts. The themes were evaluated in terms of the opportunities offered by AI in the field of higher education today with their strengths and aspects open to improvement. The findings revealed that faculty members use AI technologies especially in language models, visual content creation tools and automated assessment systems; these technologies offer advantages such as time saving, individualized learning opportunities and content enrichment. However, challenges such as ethical issues and academic integrity risks were also identified. The research provides insights into the future role of AI technologies in higher education and lays the groundwork for recommendations for educational policies.

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