| Going deeper with deep knowledge tracing. X Xiong, S Zhao, EG Van Inwegen, JE Beck International Educational Data Mining Society, 2016 | 240 | 2016 |
| 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 | 140 | 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 future of adaptive learning: Does the crowd hold the key? NT Heffernan, KS Ostrow, K Kelly, D Selent, EG Van Inwegen, X Xiong, ... International Journal of Artificial Intelligence in Education 26, 615-644, 2016 | 77 | 2016 |
| Estimating student proficiency: Deep learning is not the panacea KH Wilson, X Xiong, M Khajah, RV Lindsey, S Zhao, Y Karklin, ... In Neural information processing systems, workshop on machine learning for …, 2016 | 65 | 2016 |
| Limits to accuracy: how well can we do at student modeling? J Beck, X Xiong Educational Data Mining 2013, 2013 | 51 | 2013 |
| Will you get it right next week: Predict delayed performance in enhanced ITS mastery cycle X Xiong, S Li, JE Beck The Twenty-Sixth International FLAIRS Conference, 2013 | 32 | 2013 |
| An analysis of response time data for improving student performance prediction X Xiong, Z Pardos, N Heffernan Proceedings of the workshop on Educational Data at the 17th Conference on …, 2011 | 28 | 2011 |
| Improving students' long-term retention performance: a study on personalized retention schedules X Xiong, Y Wang, JB Beck Proceedings of the Fifth International Conference on Learning Analytics And …, 2015 | 27 | 2015 |
| A study of exploring different schedules of spacing and retrieval interval on mathematics skills in ITS environment X Xiong, JE Beck Intelligent Tutoring Systems: 12th International Conference, ITS 2014 …, 2014 | 18 | 2014 |
| Modeling student knowledge retention using deep learning and random forests N Sharada, M Shashi, X Xiong Journal of Engineering and Applied Sciences 13 (6), 1347-1353, 2018 | 11 | 2018 |
| Modeling student retention in an environment with delayed testing S Li, X Xiong, JE Beck Worcester Polytechnic Institute, 2013 | 9 | 2013 |
| Improving retention performance prediction with prerequisite skill features X Xiong, S Adjei, N Heffernan Educational Data Mining 2014, 2014 | 8 | 2014 |
| Using and designing platforms for in vivo educational experiments JJ Williams, K Ostrow, X Xiong, E Glassman, J Kim, SG Maldonado, N Li, ... Proceedings of the Second (2015) ACM Conference on Learning@ Scale, 409-412, 2015 | 6 | 2015 |
| Class distinctions: Leveraging class-level features to predict student retention performance X Xiong, JE Beck, S Li Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 6 | 2013 |
| Improving Long-Term Retention Level in an Environment of Personalized Expanding Intervals. X Xiong, JB Beck EDM, 582-583, 2015 | 4 | 2015 |
| Experimenting choices of video and text feedback in authentic foreign language assignments at scale X Lu, X Xiong, NT Heffernan Proceedings of the Fourth (2017) ACM Conference on learning@ scale, 335-338, 2017 | 1 | 2017 |
| Enhanced Retention Performance Modeling for Intelligent Tutoring System N Sharada, M Shashi, X Xiong International Journal of Computer Applications 151 (10), 2016 | 1 | 2016 |
| Theory and Practice: Improving Retention Performance through Student Modeling and System Building X Xiong WORCESTER POLYTECHNIC INSTITUTE, 2017 | | 2017 |
| ASSISTments Efficacy Trial: The Automatic Reassessment and Remediation System N Heffernan, X Xiong, A Botelho, C Heffernan AIED, 2017 | | 2017 |
Joseph BeckWorcester Polytechnic InstituteVerified email at wpi.edu
