"We All Need a Personal Assistant": University Professors' Use of AI to Facilitate Teaching and Learning

Abstract

Artificial Intelligence (AI) has become an undeniable reality in our world—constantly advancing, expanding, and impacting nearly every field. As educators and academic institutions, it is crucial that we not only acknowledge the presence of AI but also proactively embrace, adopt, and leverage it to support teaching, enrich learning experiences, and improve educational outcomes. While extensive research has focused on how K-12 educators integrate AI into their teaching practices and the effects on student outcomes, there remains a significant gap in understanding how university professors are utilizing AI to enhance higher education. This paper sheds light on a qualitative study involving 20 university professors from various disciplines across the UAE, examining how AI has influenced, transformed, or reshaped their roles as educators, researchers, and practitioners. The study explores the myriad ways in which AI has impacted their day-to-day tasks, from streamlining research processes and preparing instructional materials to delivering knowledge more effectively and assessing student progress. The findings presented are both insightful and practical, offering valuable perspectives for professors in higher education. The offer deeper understanding of how AI can be harnessed to improve efficiency in areas such as course planning, content creation, personalized teaching, and data-driven decision-making. This content is valuable for educators, researchers, and leaders in higher education, aiming to provide actionable tips and strategies to help professors integrate AI effectively into their academic practices, ultimately fostering a more innovative and responsive educational environment.

Presenters

Dr. Salma Waly
Assistant Professor, Sharjah Education Academy, United Arab Emirates

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

Learning in Higher Education

KEYWORDS

Higher Education, AI, Machine Learning, Research, Teaching and Learning