— Metacognition and its implications for learning
— Technology enhanced learning environments
— Mobile Learning Technologies with Natural Language Processing (NLP)
— Students’ conceptual understanding in engineering and science
— Verbal interactions in teams and other collaborative learning settings

Menekse, M. (2023). Envisioning the future of learning and teaching engineering in the artificial intelligence era: Opportunities and challenges. Journal of Engineering Education, 112: 578-582. https://doi.org/10.1002/jee.20539

Anwar, S., Menekse, M., Guzey, S., & Bryan, L. A. (2022). The effectiveness of an integrated STEM curriculum unit on middle school students' life science learning. Journal of Research in Science Teaching, 59(7), 1204-1234 https://doi.org/10.1002/tea.21756

Purzer, S., Quintana–Cifuentes, J., & Menekse, M. (2022). The honeycomb of engineering framework: Philosophy of engineering guiding precollege engineering education. Journal of Engineering Education, 111(1), 19-39. https://doi.org/10.1002/jee.20441

Menekse, M., Anwar, S., & Akdemir, Z. (2022). How do different reflection prompts affect engineering students' academic performance and engagement? The Journal of Experimental Education. 90:2, 261-279, https://doi.org/10.1080/00220973.2020.1786346

Menekse, M. (2020). The reflection-informed learning and instruction to improve students' Education, 88:2, 183-199, DOI: 10.1080/00220973.2019.1620159