Generative Artificial Intelligence (GAI) in Teaching and Research: Best Practices, Challenges, and Future Prospects.

Keywords: Generative Artificial Intelligence, Higher Education

Author Biographies

Gabriela Navarro Espíritu, CETYS University, Mexicali, Baja California, Mexico

She holds a Ph.D. in Educational Systems and Environments from the Technological Institute of Sonora and a Ph.D. in Education from Humboldt International University of Miami. She is the director and a professor at the ICT in Education Center (TICCAD) at CETYS University. She has completed an academic fellowship at the University of Málaga. She is a member of the 360 Educational Innovation Network (RIE360). She is a guest speaker at various national and international forums. Her career and contributions focus on technology-mediated learning, instructional design, management of virtual environments, and generative artificial intelligence in teaching and research.

Verónica Luna-de-la-Luz , National Autonomous University of Mexico, Mexico City, Mexico

She holds a Master of Science degree and a Bachelor’s degree in Psychology from UNAM. She is the Deputy Director of Educational Innovation at the Office of Educational Assessment, Innovation, and Development (CEIDE) and a professor in the School of Medicine and in the Master’s and Doctoral Programs at UNAM. Her academic work focuses on educational innovation, agile methodologies, active learning, artificial intelligence in higher education, educational trends, innovative teaching, and social-emotional competencies. She is a member of the RIE360 Educational Innovation Network and a facilitator for the MOOC “Innovating Teaching with Design Thinking” on Coursera.

Ruben Garcia-Sanchez, University of Guadalajara, Guadalajara, Jalisco, Mexico

He holds a Master’s degree in Higher Education Planning from the University of Guadalajara (UdeG) and is a doctoral candidate in Critical Theory at the 17th Institute of Critical Studies. He currently serves as liaison coordinator for the General Directorate of the Virtual University. Throughout his career, he has participated in the development of hybrid and virtual learning strategies. In his recent work, he designs pedagogical approaches that integrate generative artificial intelligence for application in face-to-face, blended, and virtual programs.

Carlos Ivan Moreno, University of Guadalajara, Guadalajara, Jalisco, Mexico

He holds a Ph.D. in Public Policy from the University of Illinois at Chicago. He is a tenured professor at the University of Guadalajara in the Department of Public Policy and Organizational Studies. He is a member of CONACYT’s National System of Researchers. He has served as a visiting scholar at the University of Chicago and Northwestern University. His research focuses on governance and organizational change in universities, comparative higher education policy, and educational innovation. He is a member of various associations and think tanks, such as “Mexicanos Primero Jalisco” and the University Design Institute at Arizona State University (ASU). He currently serves as director of the General Directorate of University and Intercultural Higher Education (DGESUI), a division under Mexico’s Undersecretariat of Higher Education.

Published
2026-05-30
How to Cite
Navarro Espíritu, G., Luna-de-la-Luz , V., Garcia-Sanchez, R., & Moreno, C. I. (2026). Generative Artificial Intelligence (GAI) in Teaching and Research: Best Practices, Challenges, and Future Prospects. Higher Education and Society Journal (ESS), 37(2), 22-27. https://doi.org/10.54674/ess.v37i2.1307