| Extending knowledge tracing to allow partial credit: Using continuous versus binary nodes Y Wang, N Heffernan Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 85 | 2013 |
| The student skill model Y Wang, NT Heffernan Intelligent Tutoring Systems: 11th International Conference, ITS 2012 …, 2012 | 51 | 2012 |
| Towards better affect detectors: effect of missing skills, class features and common wrong answers Y Wang, NT Heffernan, C Heffernan Proceedings of the fifth international conference on learning analytics and …, 2015 | 48 | 2015 |
| Class vs. student in a bayesian network student model Y Wang, J Beck Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 43 | 2013 |
| The “assistance” model: Leveraging how many hints and attempts a student needs Y Wang, NT Heffernan Twenty-fourth international FLAIRS conference, 2011 | 42 | 2011 |
| Leveraging First Response Time into the Knowledge Tracing Model. Y Wang, NT Heffernan International Educational Data Mining Society, 2012 | 36 | 2012 |
| Representing student performance with partial credit Y Wang, NT Heffernan, JE Beck Educational Data Mining 2010, 2010 | 28 | 2010 |
| Using Student Modeling to Estimate Student Knowledge Retention. Y Wang, JE Beck International Educational Data Mining Society, 2012 | 21 | 2012 |
| The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial. C Lang, N Heffernan, K Ostrow, Y Wang International Educational Data Mining Society, 2015 | 19 | 2015 |
| Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data. Y Wang, NT Heffernan EDM, 352, 2011 | 15 | 2011 |
| Adaptive control for an underactuated overhead crane system BJ Ma, YC Fang, YT Wang, ZP Jiang Kongzhi Lilun Yu Yingyong/Control Theory and Applications 25 (6), 1105-1109, 2008 | 12 | 2008 |
| Incorporating Factors Influencing Knowledge Retention into a Student Model. Y Wang, J Beck EDM, 201-203, 2012 | 11 | 2012 |
| The effect of automatic reassessment and relearning on assessing student long-term knowledge in mathematics Y Wang, NT Heffernan Intelligent Tutoring Systems: 12th International Conference, ITS 2014 …, 2014 | 10 | 2014 |
| Extending the assistance model: Analyzing the use of assistance over time W Hawkins, N Heffernan, Y Wang, R Baker Educational Data Mining 2013, 2013 | 10 | 2013 |
| Practical feature-based simultaneous localization and mapping using sonar data H Feng, F Yongchun, W Yutao, B Tao 2008 27th Chinese Control Conference, 421-425, 2008 | 7 | 2008 |
| Personalizing Knowledge Tracing: Should We Individualize Slip, Guess, Prior or Learn Rate? J Gu, Y Wang, NT Heffernan Intelligent Tutoring Systems: 12th International Conference, ITS 2014 …, 2014 | 6 | 2014 |
| 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 |
| Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods F Song, S Trivedi, Y Wang, G Sarkozy, N Heffernan The Twenty-Sixth International FLAIRS Conference, 2013 | 4 | 2013 |
| The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints. L Zhu, Y Wang, NT Heffernan EDM (Workshops), 2014 | 3 | 2014 |
| A practical self-localization scheme for mobile robots H Feng, F Yongchun, M Bojun, W Yutao | | |
Neil HeffernanProfessor of Computer Science, Director of the Learning Sciences and TechnologiesVerified email at cs.wpi.edu
