Publications

Peer-Reviewed

2024

2023

  • Gorgun, G., & Kilmen, S. (2023). Investigating the invariance of non-cognitive skills in countries with different immigration policies: A psychometric network approach. Social Psychology of Education. https://doi.org/10.1007/s11218-023-09871-2
  • Gorgun, G., & Bulut, O. (2023). Incorporating test-taking engagement into the item selection algorithm in computerized adaptive tests. Large-Scale Assessments in Education, 11, 27. https://doi.org/10.1186/s40536-023-00177-5
  • Gorgun, G., & Botelho, A.F. (2023). Enhancing the automatic identification of common math misconceptions using natural language processing. In N. Wang, G. Rebolledo-Mendez, V. Dimitrova, N. Matsuda, & O. C. Santos (Eds.), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, and Blue Sky. AIED 2023 (pp. 302-307). Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_47
  • Bulut, O., Gorgun, G., & Karamese, H. (2023). Incorporating test-taking engagement into multistage adaptive testing design for large-scale assessments. Journal of Educational Measurement. https://doi.org/10.1111/jedm.12380
  • Bulut, O., Shin, J., Yildirim-Erbasli, S.N., Gorgun, G., & Pardos, Z.A. (2023). An introduction to Bayesian knowledge tracing with pyBKT. Psych5, 770-786. https://doi.org/10.3390/psych5030050
  • 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 P. Blikstein, J. Van Aalst, R. Kizito, & K. Brennan (Eds.), Proceedings of the 17th International Conference of the Learning Sciences (pp. 1406-1409), Montreal, QC, Canada: International Society of the Learning Sciences.
  • Bulut, O., Gorgun, G., Wongvorachan, T., & Tan, B. (2023). Rapid guessing in low-stakes assessments: Finding the optimal response time threshold with random search and genetic algorithm. Algorithms16(2), 89. https://10.3390/a16020089 
  • 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. https://doi.org/10.1111/bjet.13276

2022

  • Gorgun, G., & Bulut, O. (2022). Identifying aberrant responses in intelligent tutoring systems: An application of anomaly detection methods. Psychological Testing and Assessment Modeling, 64(4), 359-384. Download
  • Gorgun, G., & Bulut, O. (2022). Considering disengaged responses in Bayesian and deep knowledge tracing. In M. M. Rodrigo, N. Matsuda, A. I. Cristea, & V. Dimitrova (Eds.), Artificial intelligence in education. Posters and late-breaking results, workshops and tutorials, industry and innovation Tracks, practitioners’ and doctoral consortium (pp. 591-594). Lecture Notes in Computer Science, vol 13356. Springer, Cham. https://doi.org/10.1007/978-3-031-11647-6_122
  • Gorgun, G., Yildirim-Erbasli, S. N., & Demmans Epp, C. (2022). Predicting cognitive engagement in online course discussion forums. In A. Mitrovic & N. Bosch (Eds.), Proceedings of the 15th International Conference on Educational Data Mining, (pp. 276-289). Durham, UK: International Educational Data Mining Society. https://doi.org/10.5281/zenodo.6853149
  • Hachem, M., Gorgun, G., Chu, M-W., & Bulut, O. (2022). Social and emotional variables as predictors of students’ perceived cognitive competence and academic performance. Canadian Journal of School Psychology, 37(4),  362-384. https://doi.org/10.1177/08295735221118474
  • 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. https://doi.org/10.1111/bmsp.12272
  • Wongvorachan, T., Clelland, A., Gorgun, G., & Bulut, O. (2022). Identifying the predictors of mathematics anxiety and performance in Canada: An educational data mining approach. Alberta Academic Review5(1), 2-2. https://doi.org/10.29173/aar134

2021

  • Gorgun, G., & Bulut, O. (2021). A polytomous scoring approach to handle not-reached items in low-stakes assessments. Educational and Psychological Measurement, 81(5), 847-871. https://doi.org/10.1177/0013164421991211
  • 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. https://doi.org/10.3390/psych3030023

2020

  • Colvin, K. F., Gorgun, G., & Zhang, S. (2020). Comparing interpretations of the Rosenberg Self-Esteem Scale with 4-, 5-, and 101-point scales. Journal of Psychoeducational Assessment38(6), 762-766. https://doi.org/10.1177/0734282920915063
  • Colvin, K. F., & Gorgun, G. (2020). Collapsing scale categories: Comparing the psychometric properties of resulting scales. Practical Assessment, Research & Evaluation25, 6. https://doi.org/10.7275/17315702
  • Bulut, O., Xiao, J., Rodriguez, M. C., & Gorgun, G. (2020). An empirical investigation of factors contributing to item nonresponse in self-reported bullying instruments. Journal of School Violence19(4), 539-552. https://doi.org/10.1080/15388220.2020.1770603
  • Learned, J. E., Dacus, L. C., Morgan, M. J., Schiller, K. S., & Gorgun, G. (2020). “The tail wagging the dog”: High-stakes testing as a mediating context in secondary literacy-related. Teachers College Record122(11), 1-47. https://doi.org/10.1177/016146812012201115

2018

  • Lui, A. M., Franklin Jr, D., Akhmedjanova, D., Gorgun, G., Bryer, J., Andrade, H. L., & Cleary, T. (2018). Validity evidence of the internal structure of the DAACS self-regulated learning survey. Future Review: International Journal of Transition, College, and Career Success1(1), 1-18.

Reports

  • Bulut, O., Seitz, P., Deforge, K., Chu, M. W., Hachem, M., & Gorgun, G. (2020). Measuring students’ socio-emotional well-being to optimize learning: Looking beyond academic performance and grades. https://doi.org/10.7939/r3-jkvz-qt28