Bio_Javeed_Kittur

About

Javeed Kittur is an Assistant Professor in the Engineering Pathways program at the University of Oklahoma and serves as the Co-Director of Research in the Honors College, bringing a global academic background that includes a Ph.D. in Engineering Education Systems and Design from Arizona State University. Prior to joining OU, he served as an Assistant Professor in Electrical and Electronics Engineering at KLE Technological University, India, and is a certified IUCEE International Engineering Educator and Associate Editor for the Journal of Engineering Education Transformations. Since 2022, he has mentored over 40 undergraduate engineering students, many of whom have published in leading conferences and journals, demonstrating his strong commitment to impactful student mentorship. His excellence in teaching and mentoring has been recognized with multiple prestigious awards, including the 2025 Nancy L. Mergler Faculty Mentor Award, the 2025 Brandon H. Griffith Outstanding Faculty Member Award, and the 2024 SGA Outstanding Faculty Award. Dr. Kittur’s research advances engineering education through innovative, data-driven approaches, with a focus on generative AI integration, learning analytics, student retention, broadening participation, and holistic faculty development across cognitive, affective, and psychomotor domains.

Courses Taugh

ENGR 1413: Pathways to Engineering Thinking

UNIV 1210: First-Year Student Mentoring

ENGR 2002: Professional Development

HON 2970: Honors First-Year Research Experience (FYRE)

ENGR 5223: Curriculum Design, Delivery, and Assessment

Publications/academic works/Research Interests:

• Ewert, N., & Kittur, J. (2026). Qualitative Evaluation of Engineering Teaching Assistants’ Current Mentorship Capabilities. European Journal of Engineering Education.
• Simelane, P. M., & Kittur, J*. (2026). Leveraging Chatbots for Enhanced Decision-Making: A Comprehensive Literature Review. Frontiers in Artificial Intelligence, 9, 1748544. https://doi.org/10.3389/frai.2026.1748544
• Garcia, O. J., & Kittur, J. (2026). Shaping Tomorrow's Classrooms: What Engineering Doctoral Students Expect as Future Educators. In Frontiers in Education (Vol. 11, p. 1656350). Frontiers. https://doi.org/10.3389/feduc.2026.1656350
• Ewert, N. G., & Kittur, J. (2025). Understanding the Current Mentorship Capabilities of Teaching Assistants for Engineering Courses. IEEE Transactions on Education. DOI: 10.1109/TE.2025.3614155
• Nugyen, S. S., & Kittur, J. (2025). Review of Current and Potential Uses of Large Language Models in Engineering. Frontiers in Education (Vol. 10, p. 1649650). DOI: https://doi.org/10.3389/feduc.2025.1649650
• Nugyen, M., & Kittur, J. (2025). Harnessing Artificial Intelligence for Advancements in Electrical Engineering: A Systematic Literature Review of Applications, Challenges, and Future Trends. Computer Applications in Engineering Education, 33(6), e70083.
• Mukherjee, S., & Kittur, J*. (2025). Learning through cognitive, affective, and psychomotor domains: Understanding undergraduate engineering students’ perspectives in the United States. Engineering Education Review, 3. DOI: https://doi.org/10.54844/eer.2025.0916
• Kollu, G. S., & Kittur, J*. (2025). Integrating Deep Learning Into Mechanical Engineering: A Systematic Review of Applications and Educational Implications. Computer Applications in Engineering Education, 33(3), e70048. DOI: https://doi.org/10.1002/cae.70048
• Simelane, P. M., & Kittur, J*. (2025). Use of Generative Artificial Intelligence in Teaching and Learning: Engineering Instructors' Perspectives. Computer Applications in Engineering Education, 33(1), e22813. DOI: https://doi.org/10.1002/cae.22813