Osman Akşit
Doktora., Fen Eğitimi, North Carolina State University, 2018
Yüksek Lisans., Yönetim Bilişim Sistemleri, Boğaziçi Üniversitesi, 2014
Lisans., Fizik Eğitimi, Boğaziçi Üniversitesi, 2009
-Aksit, O., Akoglu, K., & Aydin, Z. (2025). Investigating preservice STEM teachers’ AI literacy and self-efficacy beliefs: Are they ready for AI?. Informatics in Education, 24(4), 653-679. https://doi.org/10.15388/infedu.2025.22
-Aksit, O. (2025). Teaching science with AI: How preservice teachers perceive the role of AI tools in science education. In S. Kadry (Ed.) Artificial Intelligence in Education - Creating an Equitable, Creative, and Effective Learning Environment. (pp. 1-17). InTechOpen. https://dx.doi.org/10.5772/intechopen.1012592
-Aksit, O. (2025). High school students’ knowledge and risk perceptions of climate change: The role of an elective environmental science course. Journal of Research in Science, Mathematics and Technology Education, 8(SI), 27-52. https://doi.org/10.31756/jrsmte.412SI
-Akşit, O. (2025). Bilim ve Eğitim Üzerine Görüşler ölçeğinin bilimin doğasına yönelik anlayış alt boyutlarının Türkçeye uyarlanması: Bir Rasch analizi çalışması. Ege Eğitim Dergisi, 26(1), 47-67. https://doi.org/10.12984/egeefd.1512596
-Akşit, O., Ceyhan, G., & Muğaloğlu, E. Z. (2023). Fen eğitiminin sözde-gerçeklik (post-truth) dünyasında rolü ve önemi. In M. Ergun (Ed.), Fen Öğretimi, (pp. 1-25). Nobel.
-Aksit, O., & Wiebe, E. (2020). Exploring force and motion concepts in middle grades using computational modeling: A classroom intervention study. Journal of Science Education and Technology. 29(1), 65-82. https://doi.org/10.1007/s10956-019-09800-z
-Wiebe, E., London, J., Aksit, O., Mott, B. W., Boyer, K. E., & Lester, J. C. (2019). Development of a Lean Computational Thinking Abilities Assessment for Middle Grades Students. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 456-461). ACM. https://doi.org/10.1145/3287324.3287390
-Aksit, O., McNeal, K.S., Gold, A.U., Libarkin, J.L., & Harris, S. (2018). The influence of instruction, prior knowledge, and values on climate change risk perception among undergraduates. Journal of Research in Science Teaching, 55(4), 550-572. https://doi.org/10.1002/tea.21430
-Boulden, D. C., Wiebe, E., Akram, B., Aksit, O., Buffum, P. S., Mott, B., ... & Lester, J. (2018). Computational Thinking Integration into Middle Grades Science Classrooms: Strategies for Meeting the Challenges. Middle Grades Review, 4(3), 5. https://scholarworks.uvm.edu/mgreview/vol4/iss3/5/
-Smith, A., Aksit, O., Min, W., Wiebe, E., Mott, B. W., & Lester, J. C. (2016). Integrating Real-Time Drawing and Writing Diagnostic Models: An Evidence-Centered Design Framework for Multimodal Science Assessment. In International Conference on Intelligent Tutoring Systems (pp. 165-175). Springer International. https://doi.org/10.1007/978-3-319-39583-8_16
Dr. Aksit is currently an assistant professor at the Department of Mathematics and Science Education. Dr. Aksit has a bachelor's degree in Physics Education and a master's degree in Management Information Systems from Bogazici University. He completed his PhD in Science Education at North Carolina State University (Raleigh, USA) in 2018. Dr. Aksit has many years of teaching experience (physics & chemistry) at secondary level in different international schools in Turkey and abroad. Dr. Aksit's research interests include the use of computational thinking and systems thinking in the context of physics education, modeling and model-based learning, students' understanding of climate change concepts and associated risk perceptions, learning in game-based environments, and item-response theory. Dr. Aksit was involved in various NSF-funded research projects during his doctorate studies and published several academic papers.
