Artificial Intelligence in Higher Education: Exploring Faculty Perspectives on Relevant Aspects for Teaching

• In Event: AERA Roundtable Session Saturday 3:20 pm Four Seasons Ballroom 1
  In Roundtable Session: AI-Driven Innovations in Instructional Technology (Table 5)

Abstract

This exploratory paper examines the perspectives of 112 academic staff on future-oriented teaching in higher education in the age of artificial intelligence (AI). It focuses on instructional design, domain specificity, and ethics. Regarding AI in education (AIED), the study finds that AIED ethics is considered most important by participants, who also express a strong interest in professional development and institutional support for AI. Those valuing AIED instructional design are more likely to use AI tools in teaching, but the perceived relevance of domain specificity and ethics does not predict AI tool integration, indicating an intention-behavior gap. These insights highlight the need for further research on faculty AI literacy and the structural conditions that promote AI integration in higher education.

Authors

• Dana-Kristin Mah, Leuphana University - Lueneburg

• Nils Knoth, University of Kassel

• Marc Egloffstein, University of Mannheim