| Incorporating rich features into deep knowledge tracing L Zhang, X Xiong, S Zhao, A Botelho, NT Heffernan Proceedings of the fourth (2017) ACM conference on learning@ scale, 169-172, 2017 | 141 | 2017 |
| Improving sensor-free affect detection using deep learning AF Botelho, RS Baker, NT Heffernan Artificial Intelligence in Education: 18th International Conference, AIED …, 2017 | 127 | 2017 |
| A memory-augmented neural model for automated grading S Zhao, Y Zhang, X Xiong, A Botelho, N Heffernan Proceedings of the fourth (2017) ACM conference on learning@ scale, 189-192, 2017 | 85 | 2017 |
| The automated grading of student open responses in mathematics JA Erickson, AF Botelho, S McAteer, A Varatharaj, NT Heffernan Proceedings of the tenth international conference on learning analytics …, 2020 | 64 | 2020 |
| 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 | 62 | 2019 |
| Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. AF Botelho, RS Baker, J Ocumpaugh, NT Heffernan International Educational Data Mining Society, 2018 | 50 | 2018 |
| Improving Automated Scoring of Student Open Responses in Mathematics. S Baral, AF Botelho, JA Erickson, P Benachamardi, NT Heffernan International Educational Data Mining Society, 2021 | 46 | 2021 |
| Leveraging natural language processing to support automated assessment and feedback for student open responses in mathematics A Botelho, S Baral, JA Erickson, P Benachamardi, NT Heffernan Journal of computer assisted learning 39 (3), 823-840, 2023 | 43 | 2023 |
| 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 | 31 | 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 | 26 | 2021 |
| The prediction of student first response using prerequisite skills A Botelho, H Wan, N Heffernan Proceedings of the Second (2015) ACM Conference on Learning@ Scale, 39-45, 2015 | 25 | 2015 |
| Does slow and steady win the race?: Clustering patterns of students’ behaviors in an interactive online mathematics game JE Lee, JYC Chan, A Botelho, E Ottmar Educational technology research and development 70 (5), 1575-1599, 2022 | 24 | 2022 |
| Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures SA Adjei, AF Botelho, NT Heffernan Proceedings of the sixth international conference on learning analytics …, 2016 | 23 | 2016 |
| The implications of a subtle difference in the calculation of affect dynamics S Karumbaiah, J Andres, AF Botelho, RS Baker, JS Ocumpaugh 26th International Conference for Computers in Education, 29-38, 2018 | 21 | 2018 |
| Precise unbiased estimation in randomized experiments using auxiliary observational data JA Gagnon-Bartsch, AC Sales, E Wu, AF Botelho, JA Erickson, ... Journal of Causal Inference 11 (1), 20220011, 2023 | 19 | 2023 |
| Examining student effort on help through response time decomposition A Gurung, AF Botelho, NT Heffernan LAK21: 11th international learning analytics and knowledge conference, 292-301, 2021 | 16 | 2021 |
| Using past data to warm start active machine learning: Does context matter? S Karumbaiah, A Lan, S Nagpal, RS Baker, A Botelho, N Heffernan LAK21: 11th International Learning Analytics and Knowledge Conference, 151-160, 2021 | 15 | 2021 |
| Machine-learned or expert-engineered features? Exploring feature engineering methods in detectors of student behavior and affect AF Botelho, RS Baker, NT Heffernan The twelfth international conference on educational data mining, 2019 | 14 | 2019 |
| Enhancing auto-scoring of student open responses in the presence of mathematical terms and expressions S Baral, K Seetharaman, AF Botelho, A Wang, G Heineman, NT Heffernan International Conference on Artificial Intelligence in Education, 685-690, 2022 | 13 | 2022 |
| Refusing to try: Characterizing early stopout on student assignments AF Botelho, A Varatharaj, EGV Inwegen, NT Heffernan Proceedings of the 9th international conference on learning analytics …, 2019 | 12 | 2019 |
Neil HeffernanProfessor of Computer Science, Director of the Learning Sciences and TechnologiesVerified email at cs.wpi.edu
