Texas Tech University

Fethi A. Inan, Ed.D.

Professor of Instructional Technology
Curriculum & Instruction

Email: fethi.inan@ttu.edu

Phone: 806-834-4743

Office: Education 266

Dr. Fethi A. Inan is a Professor of Instructional Technology advancing research at the intersection of technology, health, and education. Building on foundational contributions to adaptive systems and technology integration, his current research focuses on developing AI‑based cognitive tools and leveraging machine learning and learning analytics to model student learning, mental health, and well‑being. He has served as Principal Investigator (PI) or Co‑PI on numerous federally and privately funded research projects.

Dr. Fethi Inan

Education

  • Doctorate in Instructional Design and Technology, The University of Memphis, TN, USA
  • Master of Science in Biotechnology, Texas Tech University, TX, USA
  • Master of Science in Computer Education and Instructional Technology, Middle East Technical University, Türkiye
  • Bachelor of Science in Computer Education, Middle East Technical University, Türkiye
  • Graduate Certificate in Business Analytics, Texas Tech University, TX, USA

Areas of Expertise

  • Human-Centered AI
  • Mental Health & Well-being
  • Applied Machine Learning
  • Adaptive Systems
  • Health Informatics
  • Emerging Technologies

Selected Publications

Google Scholar Profile

Research Gate Profile

Inan, F. A., Unal, D., Marzban, F., Sosi, E. T., & Alleyne Bayne, G. (2025). The role of fatigue in the relationship between sleep and concentration among online college students. International Journal of Environmental Research and Public Health, 22(11), 1728. https://doi.org/10.3390/ijerph22111728

Inan, F. A., Unal, D., Marzban, F., Sosi, E. T., & Alleyne Bayne, G. (2025). The role of fatigue in the relationship between sleep and concentration among online college students. International Journal of Environmental Research and Public Health, 22(11), 1728. https://doi.org/10.3390/ijerph22111728

Inan, F. A., Unal, D., Marzban, F., Sosi, E. T., & Bayne, G. A. (2025). The impact of health status, chronic conditions, and mental fatigue on college students’ grade expectations in online courses. European Journal of Investigation in Health, Psychology and Education, 15(7), 118. https://doi.org/10.3390/ejihpe15070118

Ning, W., & Inan, F. A. (2024). Impact of social media addiction on college students’ academic performance: an interdisciplinary perspective. Journal of Research on Technology in Education, 56(5), 616-631. https://doi-org.lib-e2.lib.ttu.edu/10.1080/15391523.2023.2196456

Inan, F.A., Bolliger, D. (2023). Online instructor clusters: Implementation frequency of instructional activities. Education and Information Technologies, 28(11), 13969–13986. https://doi-org.lib-e2.lib.ttu.edu/10.1007/s10639-023-11721-9

Inan, F. I. (2023). Educational and social impact of computing devices for children with autism spectrum disorder (ASD). TOJET: The Turkish Online Journal of Educational Technology, 22(1), 60-65.

Alleyne Bayne, G., & Inan, F. A. (2023). Desarrollo del indicador de sobrecarga en cursos en línea y de la Encuesta de fatiga mental del estudiante (Trans.). Revista Mexicana De Bachillerato a Distancia, 15(29). (Original work published 2023). https://doi.org/10.22201/cuaieed.20074751e.2023.29.84993

Ari, F., Arslan-Ari, I., Abaci, S., & Inan, F.A. (2022). Online simulation for information technology skills training in higher education. Journal of Computing in Higher Education, 34, 371–395. https://doi.org/10.1007/s12528-021-09303-0

Arslan, O., Inan., F. A., Moon, H., Ozdemir, Y. M., Uzunosmanoglu, S. D. (2022). Educational technology for autism spectrum disorder. Turkish Online Journal of Educational Technology, 21(1), 45-54.

Bayne, G. A. & Inan, F. A. (2022). Development of the online course overload indicator and the student mental fatigue survey. The International Review of Research in Open and Distributed Learning, 23(4), 75-92. https://doi.org/10.19173/irrodl.v23i4.6223

Dame, M. & Inan, F. A. (2021). Health sciences faculty satisfaction in online learning: a relationship to intent to leave. Health Professions Education, 7(1), 1-25.

Inan, F.A., Ari, F., Flores, R., Zaier, A. & Arslan-Ari, I. (2021). Examining the educational effectiveness of an adaptive web-based learning tutorial. International Journal on E-Learning, 20(3), 259-270.

Inan, F., Yukselturk, E., Kurucay, M. & Flores, R. (2017). The impact of self-regulation strategies on student success and satisfaction in an online course. International Journal on E-Learning, 16(1), 23-32

Inan, F. A., Namin, A., Pogrund, R., & Jones, K. (2016). Perception of cybersecurity risks for internet users who are visually impaired. Journal of Educational Technology & Society, 19(1), 124-136.

Inan, F. A., Crooks, S., Cheon, J., Ari, F., Flores, R., Kurucay, M., & Panyukov, D. (2015). The reverse modality effect: Examining student learning from an interactive computer-based instruction. British Journal of Educational Technology, 46(1), 123-130.

Flores, R. & Inan, F. A. (2014). Examining the impact of adaptively faded worked examples on student learning outcomes. Journal of Interactive Learning Research, 25(4), 467-485.

Bolliger, D. & Inan, F. A. (2012). Development and validation of the online student connectedness scale (OSCS). The International Review of Research in Open and Distance Learning, 13 (3), 42-65.

Flores, R., Ari, F. M., Inan, F. A., & Arslan-Ari, I. (2012). The Impact of adapting content for students with individual differences. Journal of Educational Technology & Society,15(3), 251–261.

Inan, F. A., Flores, R., Ari, F. M., & Arslan-Ari, I. (2011). Towards individualized online learning: the design and development of an adaptive web based learning environment. Journal of Interactive Learning Research, 22(4), 465-487.

Inan, F. A., Flores, R., & Grant, M. (2010). Perspectives on the design and evaluation of adaptive web-based learning environments. Contemporary Educational Technology, 1(2), 148-159.

Inan, F. A. & Lowther, D. L. (2010). Factors affecting technology integration in K-12 classrooms: a path model. Educational Technology Research and Development, 58(2), 137-154.

Arslan-Ari, I. & Inan, F. A. (2010). Assistive technologies for students with disabilities: A survey of access and use in Turkish universities. The Turkish Online Journal of Educational Technology, 9(2), 40-45.