| 2 Worcester Polytechnic Institute, Worcester, MA 01609 M Feng, N Heffernan | | |
| A Bandit You Can Trust E Prihar, A Sales, N Heffernan Proceedings of the 31st ACM Conference on User Modeling, Adaptation and …, 2023 | 3 | 2023 |
| A comparison of traditional homework to computer-supported homework M Mendicino, L Razzaq, NT Heffernan Journal of Research on Technology in Education 41 (3), 331-359, 2009 | 281 | 2009 |
| A comparison of two different methods to individualize students and skills Y Wang, N Heffernan Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 5 | 2013 |
| A developmental model for algebra symbolization: The results of a difficulty factors assessment NT Heffernan, KR Koedinger Proceedings of the twentieth annual conference of the cognitive science …, 2022 | 82 | 2022 |
| 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 | 81 | 2017 |
| A methodology for discovering how to adaptively personalize to users using experimental comparisons JJ Williams, N Heffernan arXiv preprint arXiv:1509.04360, 2015 | 3 | 2015 |
| A Methodology for Evaluating Predictions of Transfer and an Empirical Application to Data from a Web-Based Intelligent Tutoring System: How to Improve Knowledge Tracing in … NT Heffernan, EA Croteau Worcester Polytechnic Institute Technical Report: WPI-CS-TR-03-27, 2003 | 1 | 2003 |
| A Novel Algorithm for Aggregating Crowdsourced Data E Prihar, NT Heffernan International Conference on Educational Data Mining, 2021 | | 2021 |
| A Novel Algorithm for Aggregating Crowdsourced Opinions. E Prihar, N Heffernan International Educational Data Mining Society, 2021 | | 2021 |
| A prediction model that uses the sequence of attempts and hints to better predict knowledge:" Better to attempt the problem first, rather than ask for a hint". H Duong, L Zhu, Y Wang, NT Heffernan EDM, 316-317, 2013 | 30 | 2013 |
| A Quasi-Experimental Evaluation of an On-line KR Koedinger, EA McLaughlin, NT Heffernan, K Koedinger | | |
| A quasi-experimental evaluation of an on-line formative assessment and tutoring system KR Koedinger, EA McLaughlin, NT Heffernan Journal of Educational Computing Research 43 (4), 489-510, 2010 | 190 | 2010 |
| A Quasi-Experimental Evaluation of an On-line Formative Assessment and Tutoring System Kenneth R. Koedinger* Carnegie Mellon University EA McLaughlin, NT Heffernan Journal of Educational Computing Research 43 (1), 489-510, 0 | 1 | |
| A web-based authoring tool for intelligent tutors: blending assessment and instructional assistance L Razzaq, M Feng, NT Heffernan, KR Koedinger, B Junker, ... Intelligent Educational Machines: Methodologies and Experiences, 23-49, 2007 | 35 | 2007 |
| Accurate and interpretable sensor-free affect detectors via monotonic neural networks AS Lan, A Botelho, S Karumbaiah, RS Baker, N Heffernan International Conference on Learning Analytics & Knowledge, 2020 | 7 | 2020 |
| Achieving user-side fairness in contextual bandits W Huang, K Labille, X Wu, D Lee, N Heffernan Human-Centric Intelligent Systems 2 (3), 81-94, 2022 | 17 | 2022 |
| Active learning for student affect detection TY Yang, RS Baker, C Studer, N Heffernan, AS Lan Proceedings of the 12th International Conference on Educational Data Mining …, 2019 | 28 | 2019 |
| Adaptive vs. Non-Adaptive Study L Cheng, K Vanacore, A Gurung, N Heffernan OSF, 2023 | | 2023 |
| Adding a Cognitive Model of Human Tutors To an Intelligent Tutoring Systems NT Heffernan | | 2000 |
Ken KoedingerHCII, Carnegie Mellon UniversityVerified email at cmu.edu