Publications

• Bulut, O., Shin, J., & Yildirim-Erbasli, S. N. (in preparation). Educational data mining: Applications in digital assessments. Boca Raton, FL: CRC Press.

• Bulut, O., Yildirim-Erbasli, S. N., & Gorgun, G. (2024). Assessment analytics for digital assessments: Identifying, modeling, and interpreting behavioral engagement. In M. Sahin & D. Ifenthaler (Eds.), Assessment analytics in education – Designs, methods and solutions (pp. 35-60). Springer, Cham. doi:10.1007/978-3-031-56365-2_3

• Yildirim-Erbasli, S. N., Gorgun, G., & Bulut, O. (2024). Enhancing self-regulated learning with artificial intelligence-powered learning analytics. In N. K. Ulutaş & D. Höl (Eds.), Emergent practices of learning analytics in K-12 classrooms (pp. 57-83). Charlotte, NC: Information Age Publishing. doi:10.4018/979-8-3693-0066-4.ch004

2024

• Bulut, O., Casabianca, J. M., Slater, S. C., Jiao, H., Song, D., Ormerod, C. M., Fabiyi, D. G., Ivan, R., Walsh, C., Rios, O., Wilson, J., N., S., Wongvorachan, T., Liu, J. X., Tan, B., & Morilova, P. (2024). The rise of artificial intelligence in educational measurement: Opportunities and ethical challenges. ArXiv. doi:10.48550/arXiv.2406.18900 Download

2023

• Bulut, O., Shin, J., Yildirim-Erbasli, S. N., Gorgun, G., & Pardos, Z. A. (2023). An introduction to Bayesian knowledge tracing with pyBKT. Psych, 5(3), 770-786. doi:10.3390/psych5030050 Download

• Yildirim-Erbasli, S. N., & Bulut, O. (2023). Conversation-based assessment: A novel approach to boosting test-taking effort in digital formative assessment. Computers & Education: Artificial Intelligence, 4(2023), 1-10. doi:10.1016/j.caeai.2023.100135 Download

• Yildirim-Erbasli, S. N., Bulut, O., Demmans Epp, C., & Cui, Y. (2023). Conversation-based assessments in education: Design, implementation, and cognitive walkthroughs for usability testing. Journal of Educational Technology Systems, 52(1), 27-51. doi:10.1177/00472395231178943 Download

2022

• Bulut, O., Cormier, D. C., & Yildirim-Erbasli, S. N. (2022). Optimized screening for students at-risk in mathematics: A machine learning approach. Information, 13(8):400. doi:10.3390/info13080400 Download

• Bulut, O., Gorgun, G., Yildirim-Erbasli, S. N., Wongvorachan, T., Daniels, L. M., Gao, Y., Lai, K. W., & Shin, J. (2022). Standing on the shoulders of giants: Online formative assessments as the foundation for predictive learning analytics models. British Journal of Educational Technology, 54(1), 19-39. doi:10.1111/bjet.13276 Abstract

• Bulut, O., & Yildirim-Erbasli, S. N. (2022). Automatic story and item generation for reading comprehension assessments with transformers. International Journal of Assessment Tools in Education, 9(Special Issue), 72-87. doi:10.21449/ijate.1124382 Download

• Ulitzsch, E., Yildirim-Erbasli, S. N., Gorgun, G., & Bulut, O. (2022). An explanatory mixture IRT model for careless and insufficient effort responding in self-report measures. British Journal of Mathematical and Statistical Psychology, 75(3), 668-698. doi:10.1111/bmsp.12272 Download

• Yildirim-Erbasli, S. N., & Cui, Y. (2022). Cognitive skills of Canadian educators: An analysis of PIAAC data. Alberta Journal of Educational Research, 68(2), 234-253. doi:10.11575/ajer.v68i2.71334 Download

2021

• Bulut, O., Gorgun, G., & Yildirim-Erbasli, S. N. (2021). Estimating explanatory extensions of dichotomous and polytomous Rasch models: The eirm package in R. Psych, 3(3), 308-321. doi:10.3390/psych3030023 Download

• Yildirim-Erbasli, S. N., & Bulut, O. (2021). Conversation-based assessments: Real-time assessment and feedback. eLearn Magazine, 12, Article 1. doi:10.1145/3508017.3495533 Abstract

• Yildirim-Erbasli, S. N., & Bulut, O. (2021). Designing predictive models for early prediction of students’ test-taking engagement in computerized formative assessments. Journal of Applied Testing Technology, 22(2). Download

• Yildirim-Erbasli, S. N., & Bulut, O. (2021). The impact of students’ test-taking effort on growth estimates in low-stakes educational assessments. Educational Research and Evaluation, 26(7-8), 368-386. doi:10.1080/13803611.2021.1977152 Abstract

• Bulut, O., Gorgun, G., Tan, B., Wongvorachan, T., Yildirim-Erbasli, S. N., & Clelland, A. (2023). Self-regulated learning through online formative assessments: The effects of assessment frequency and participation on student performance. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 1406-1409). International Society of the Learning Sciences. doi:10.22318/icls2023.866245 Download

• Gorgun, G., Yildirim-Erbasli, S. N., & Demmans Epp, C. (2022). Predicting cognitive engagement in online course discussion forums. Proceedings of the 15th International Conference on Educational Data Mining, 276-289. doi:10.5281/zenodo.6853149 Download

• Yildirim-Erbasli, S. N., & Bulut, O. (2023). Innovating assessment with conversational agents: A technology-enhanced approach to formative assessments. Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT), 331-335, doi:10.1109/ICALT58122.2023.00103 Download

• Yildirim-Erbasli, S. N., Epp, C. D., Bulut, O., & Cui, Y. (2023). Design and evaluation of a conversational agent for formative assessment in higher education. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 194-201). International Society of the Learning Sciences. doi:10.22318/icls2023.530792 Download

• Bhardwaj, G.,* Yildirim-Erbasli, S. N., & Hanson, B. (under review). Costs and benefits of virtual reality in psychological assessment: A systematic review.

• Bulut, O., Gorgun, G., & Yildirim-Erbasli, S. N. (under review). Learning analytics using online formative assessments: When less is more.

• Gorgun, G., & Yildirim-Erbasli, S. N. (under review). Algorithmic bias in BERT for response accuracy prediction: A case study for investigating population validity.

• Hayward, D.V., Yildirim-Erbasli, S. N., Chipchar, E., Xiao, J., Liu, Y., & Oliver, H. (under review). To include or not to include? Beliefs of preservice teachers about students with disabilities in K-12 general education classrooms.

• Ilgun Dibek, M., & Yildirim-Erbasli, S.N. (under review). Decoding mathematics literacy among Turkish students: The effects of person and item characteristics using PISA 2022.

• Ilgun Dibek, M., & Yildirim-Erbasli, S.N. (under review). Time matters: Investigating undergraduate students' academic procrastination in LMS.

• Zentner, K.,* & Yildirim-Erbasli, S. N. (under review). Response time to identify careless responders and enhance machine learning prediction of emotional distress severity.

• Yildirim-Erbasli, S. N., Bulut, O., Demmans Epp, C., & Cui, Y. (under review). Advancing higher education students’ assessment experiences with conversational agents.

• Yildirim-Erbasli, S. N., & Gorgun, G. (under review). Disentangling the relationship between ability and test-taking effort: Can we predict the ability levels from the response behavior?

• Yildirim-Erbasli, S. N., Casabianca-Marshall, J., & Slater, S. (under review). Test-level impact of the quality of AI-scored items on a mixed format test.

• Yildirim-Erbasli, S.N., & Ilgun Dibek, M. (under review). Gender and education effects in predicting psychological distress through machine learning.

* Asterisk indicates lead authorship by a student.