Publications

Journal Publications

  • Botelho, A. F., Varatharaj, A., Patikorn, T., Doherty, D., Adjei, S. A., Beck, J. E. (2019). Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning. Journal of IEEE Transactions on Learning Technologies. (accepted)
[pdf pending]

Full-Paper Publications

Peer Reviewed Conference Proceedings

  • Botelho, A. F., Varatharaj, A., VanInwegen, E., & Heffernan, N. T. (2019, March). Refusing to Try: Characterizing Early Stopout on Student Assignments. In Proceedings of the 9th International Conference on Learning Analytics and Knowledge, 391-400. ACM.
[pdf]
  • Karumbaiah, S, Andres, J.M.A, Botelho, A. F., Baker, R. S., & Ocumpaugh, J. (2018, November). The Implications of a Subtle Difference in the Calculation of Affect Dynamics. In Proceedings of the 26th International Conference on Computers in Education, 29-38.
[Nominated for Best Paper Award] [pdf]
  • Botelho, A. F., Baker, R. S., Ocumpaugh, J., & Heffernan, N. T. (2018, July). Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. In Proceedings of the 11th International Conference on Educational Data Mining, 157-166.
[16% Acceptance Rate] [Won Best Student Paper Award] [Nominated for Best Paper Award] [pdf]
  • Botelho, A. F., Baker, R. S., & Heffernan, N. T. (2017, June). Improving Sensor-Free Affect Detection Using Deep Learning. In International Conference on Artificial Intelligence in Education, 40-51. Springer, Cham.
[pdf]
  • Botelho, A., Wan, H., & Heffernan, N. (2015, March). The prediction of student first response using prerequisite skills. In Proceedings of the Second (2015) ACM Conference on Learning @ Scale, 39-45. ACM. (acceptance rate 25%)
[pdf]

Short-Paper Publications

Peer Reviewed Conference Proceedings

  • Sales, A., Botelho, A. F., Patikorn, T., & Heffernan, N. T. (2018, July). Using Big Data to Sharpen Design-Based Inference in A/B Tests. In Proceedings of the Eleventh International Conference on Educational Data Mining, 479-485.
[pdf]
  • Adjei, S. A., Botelho, A. F., & Heffernan, N. T. (2017, March). Sequencing Content in an Adaptive Testing System: The Role of Choice. In Proceedings of the Seventh International Conference on Learning Analytics and Knowledge. (10.1145/3027385.3027412)
[pdf]
  • Adjei, S. A., Botelho, A. F., & Heffernan, N. T. (2016, April). Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 469-473. ACM.
[pdf]
  • Botelho, A. F., Adjei, S. A., & Heffernan, N. T. (2016, June). Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships. In Proceedings of the Ninth International Conference on Educational Data Mining, 292-297. ACM
[pdf]

Poster Publications

Peer Reviewed Conference Proceedings

  • Hulse, T., Harrison, A., Ostrow, K. S., Botelho, A. F., & Heffernan, N. T. (2018, July). Starters and Finishers: Predicting Next Assignment Completion From Student Behavior During Math Problem Solving. In Proceedings of the Eleventh International Conference on Educational Data Mining, 525-528.
[pdf]
  • Harrison, A, Wixon, N., Botelho, A. F., Arroyo, I. (2018, July). Sensor-Free Predictive Models of Affect in an Online Learning Environment. In Proceedings of the Eleventh International Conference on Educational Data Mining, 634-637.
[pdf]
  • Yin, B., Botelho, A. F., Patikorn, T., Heffernan, N. T., & Zou, J. (2017, June). Causal Forest vs. Naïve Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments. In Proceedings of the Tenth International Conference on Educational Data Mining, 388-389.
[pdf]
  • Zhang, L., Xiong, X., Zhao, S., Botelho, A., & Heffernan, N. T. (2017, April). Incorporating Rich Features into Deep Knowledge Tracing. In Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 169-172. ACM.
[pdf]
  • Yin, B., Patikorn, T., Botelho, A. F., & Heffernan, N. T. (2017, April). Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees. In Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 299-302. ACM.
[pdf]
  • Zhao, S., Zhang, Y., Xiong, X., Botelho, A., & Heffernan, N. (2017, April). A Memory-Augmented Neural Model for Automated Grading. In Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 189-192. ACM.
[pdf] [extended pdf]
  • Patikorn, T., Selent, D., Heffernan, N. T., Yin, B., Botelho, A. (2016, October) ASSISTments Dataset for a Data Mining Competition to Improve Personalized Learning. In The Conference on Digital Experimentation (CODE) 2016, MIT, Cambridge, MA
[pdf] [conference page] [conference program]
  • Williams, J. J., Botelho, A., Sales, A., Heffernan, N., & Lang, C. (2016, June). Discovering ‘Tough Love’ Interventions Despite Dropout. In Proceedings of the Ninth International Conference on Educational Data Mining, 650-651. ACM
[pdf]
  • Botelho, A. F., Adjei, S. A., Wan, H., & Heffernan, N. T. (2015, June). Predicting Student Aptitude Using Performance History. In Proceedings of the Eighth International Conference on Educational Data Mining, 622-623. ACM
[pdf]

Conference Presentations and Workshops

Less-Strictly Peer Reviewed or Non-Archival

  • Sales, A. Botelho, A. F., Wu, E., Gagnon-Bartsch, J., Miratrix, L., Patikorn, T., & Heffernan, N. T. (2018, October). Combining Residualization Methods to Better Estimate Treatment Effects in Randomized Controlled Trials. In The Conference on Digital Experimentation (CODE) 2018, MIT, Cambridge, MA
[abstract] [link]
  • Botelho, A. F. (2018, July). Observing Persistence and Mental Effort in the Presence of Failure. In the 11th International Conference on Educational Data Mining, Buffalo, NY
[doctoral consortium paper]
  • Sales, A., Botelho, A. F., Patikorn, T., & Heffernan, N. T. (2018, May). Deep Learning, Auxiliary Data, and Randomization: Analyzing Experiments Run Within a Computerized Math Tutor. In The 2018 Atlantic Causal Inference Conference, Pittsburgh, PA.
[abstract] [link]
  • Adjei, S. A., Botelho, A. F., Patikorn, T., Yin, B., & Beck, J. E. (2017, June). Using "Snapshots" of Student Performance to Model Wheel Spinning. In the Tenth International Conference on Educational Data Mining, Wuhan, Hubei, China.
[workshop paper]
  • Botelho, A. F. & Heffernan, N. T. (2016, May). Sharing Data Across Experiments. In The 2016 Atlantic Causal Inference Conference, New York City, NY
[link]