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Zhang, J., Jang, E. E., & Chahine, S. (forthcoming). A systematic review of cognitive diagnostic assessment and modeling through concept mapping. Frontiers of Contemporary Education.

Sinclair, J., Jang, E. E., & Rudzicz, F. (forthcoming). Using machine learning to predict children’s reading comprehension from linguistic features extracted from speech and writing. Journal of Educational Psychology.

Jang, E. E., Lajoie, S. P., Wagner, Xu, Z., Poitras, E., & Naismith, L. (2017). Person-oriented approaches to profiling learners in technology-rich learning environments for ecological learner modeling. Journal of Educational Computing Research, 55(4), 552-597.

Jang, E. E., Vincett, M., van der Boom, E. H., Lau, C., & Yang, Y. (2017). Considering young learners’ characteristics in developing a diagnostic assessment intervention. In M. K. Wolf & Y. G. Butler (Eds.), English language proficiency assessments for young learners (pp. 193-213). Routledge.

Lau, C., Sinclair, J., Taub, M., Azevedo, R., & Jang, E. E. (2017). Transitioning self-regulated learning profiles in hypermedia-learning environments. Conference proceeding of 2017 Learning Analytics & Knowledge Conference.

Shute, V., Leighton, J.P., Jang, E.E., & Chu, M-W. (2016). Advances in the science of assessment. Educational Assessment, 21(1), 1-27.

Xu, Z., & Jang, E. E. (2016). The roles of math self-efficacy in the structural model of extracurricular technology-related activities (TRAs) and junior elementary school students’ mathematics ability. Submitted to Computers in Human Behaviour.