Future of Artificial Intelligence Applications in Education: Pedagogical Integration, Fairness and Algorithmic Transparency Perspective

Abstract

This research examines how AI-powered educational technologies are perceived by academic staff in higher education. The study highlights issues of pedagogical integration, ethical implications, and transparency. Using a phenomenological design from qualitative research, semi-structured interviews were conducted with 90 faculty members. The findings reveal that AI-supported applications facilitate personalised learning, increase student motivation, and improve time efficiency in teaching processes. The results also highlight the automation of repetitive tasks and the alleviation of teaching workload through targeted feedback. However, participants also expressed concerns such as a lack of algorithmic transparency, data uncertainty, and limited support for complex pedagogical tasks by AI. The research emphasises the need for systematic and ethically conscious integration of AI into education. It also points to the importance of future research on algorithmic literacy, pedagogical compatibility, and ethical use.