| Assistments dataset from multiple randomized controlled experiments D Selent, T Patikorn, N Heffernan Proceedings of the Third (2016) ACM Conference on Learning@ Scale, 181-184, 2016 | 48 | 2016 |
| Developing early detectors of student attrition and wheel spinning using deep learning AF Botelho, A Varatharaj, T Patikorn, D Doherty, SA Adjei, JE Beck IEEE Transactions on Learning Technologies 12 (2), 158-170, 2019 | 47 | 2019 |
| Effectiveness of crowd-sourcing on-demand assistance from teachers in online learning platforms T Patikorn, NT Heffernan Proceedings of the Seventh ACM Conference on Learning@ Scale, 115-124, 2020 | 40 | 2020 |
| Using big data to sharpen design-based inference in A/B tests A Sales, AF Botelho, T Patikorn, NT Heffernan Proceedings of the eleventh international conference on educational data mining, 2018 | 26 | 2018 |
| Toward personalizing students' education with crowdsourced tutoring E Prihar, T Patikorn, A Botelho, A Sales, N Heffernan Proceedings of the Eighth ACM Conference on Learning@ Scale, 37-45, 2021 | 22 | 2021 |
| Generalizability of methods for imputing mathematical skills needed to solve problems from texts T Patikorn, D Deisadze, L Grande, Z Yu, N Heffernan Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 15 | 2019 |
| Crowdsourcing and education: Towards a theory and praxis of learnersourcing S Doroudi, J Williams, J Kim, T Patikorn, K Ostrow, D Selent, NT Heffernan, ... International Society of the Learning Sciences, Inc.[ISLS]., 2018 | 11 | 2018 |
| ASSISTments longitudinal data mining competition special issue: a preface T Patikorn, RS Baker, NT Heffernan Journal of Educational Data Mining 12 (2), i-xi, 2020 | 8 | 2020 |
| Assistments longitudinal data mining competition 2017: A preface T Patikorn, NT Heffernan, RS Baker Proceedings of the Workshop on Scientific Findings from the ASSISTments …, 2018 | 8 | 2018 |
| Crowdsourcing and education: Towards a theory and praxis of learnersourcing. International Society of the Learning Sciences S Doroudi, J Williams, J Kim, T Patikorn, K Ostrow, D Selent, NT Heffernan, ... Inc.[ISLS], 2018 | 7 | 2018 |
| Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects. T Patikorn, D Selent, NT Heffernan, JE Beck, J Zou International Educational Data Mining Society, 2017 | 5 | 2017 |
| Observing personalizations in learning: Identifying heterogeneous treatment effects using causal trees B Yin, T Patikorn, AF Botelho, NT Heffernan Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 299-302, 2017 | 4 | 2017 |
| Release of TeacherASSIST Dataset# 1.(2020) T Patikorn, NT Heffernan DOI: http://dx. doi. org/10.17605/OSF. IO/EGP5F Accessed, 05-15, 2020 | 3 | 2020 |
| Bayesian partial pooling to improve inference across a/b tests in edm A Sales, T Patikorn, NT Heffernan Proceeding of the Educational Data Mining Conference, 2018 | 2 | 2018 |
| Assistments dataset for a data mining competition to improve personalized learning T Patikorn, D Selent, N Heffernan, B Yin, AF Botelho | 2 | 2017 |
| Using machine learning and auxiliary data for precise, unbiased, causal inference A Sales, J Gagnon-Bartsch, E Wu, N Heffernan, A Botelho, L Miratrix, ... 2019 SREE conference presentation, 2019 | 1 | 2019 |
| Git Analytics Tool AW Iovanna, A Venkatesh, JF Chines, T Patikorn | 1 | 2015 |
| Scanned Document Retrieval System using Optical Character Recognition T Patikorn International Journal of Digital Media Technology and Design 1 (2), 1-5, 2023 | | 2023 |
| Editorial Acknowledgments and Introduction to the Special Issue for the NAEP Data Mining Competition RS Baker, NT Heffernan, TP Patikorn, CM Forsyth, IR Katz Journal of Educational Data Mining 13 (2), i-i, 2021 | | 2021 |
| Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform T Patikorn WORCESTER POLYTECHNIC INSTITUTE, 2021 | | 2021 |
Neil HeffernanProfessor of Computer Science, Director of the Learning Sciences and TechnologiesVerified email at cs.wpi.edu
