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2010 – 2019
- 2017
[c13]Liang Zhang, Xiaolu Xiong, Siyuan Zhao, Anthony Botelho, Neil T. Heffernan:
Incorporating Rich Features into Deep Knowledge Tracing. L@S 2017: 169-172- [c12]Siyuan Zhao, Yaqiong Zhang, Xiaolu Xiong, Anthony Botelho, Neil T. Heffernan:
A Memory-Augmented Neural Model for Automated Grading. L@S 2017: 189-192 - [c11]Xiwen Lu
, Xiaolu Xiong, Neil T. Heffernan:
Experimenting Choices of Video and Text Feedback in Authentic Foreign Language Assignments at Scale. L@S 2017: 335-338 - 2016
- [j1]Neil T. Heffernan, Korinn S. Ostrow, Kim M. Kelly, Douglas Selent, Eric Van Inwegen, Xiaolu Xiong, Joseph Jay Williams:
The Future of Adaptive Learning: Does the Crowd Hold the Key? Int. J. Artif. Intell. Educ. 26(2): 615-644 (2016) - [c10]Xiaolu Xiong, Siyuan Zhao, Eric Van Inwegen, Joseph Beck:
Going Deeper with Deep Knowledge Tracing. EDM 2016: 545-550 - 2015
- [c9]Xiaolu Xiong, Joseph Barbosa Beck:
Improving Long-Term Retention Level in an Environment of Personalized Expanding Intervals. EDM 2015: 582-583 - [c8]Xiaolu Xiong, Yan Wang, Joseph Barbosa Beck:
Improving students' long-term retention performance: a study on personalized retention schedules. LAK 2015: 325-329 - [c7]Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan:
Using and Designing Platforms for In Vivo Educational Experiments. L@S 2015: 409-412 - [i1]Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan:
Using and Designing Platforms for In Vivo Education Experiments. CoRR abs/1502.04245 (2015) - 2014
- [c6]Xiaolu Xiong, Seth Adjei, Neil T. Heffernan:
Improving Retention Performance Prediction with Prerequisite Skill Features. EDM 2014: 375-376 - [c5]Xiaolu Xiong, Joseph E. Beck:
A Study of Exploring Different Schedules of Spacing and Retrieval Interval on Mathematics Skills in ITS Environment. Intelligent Tutoring Systems 2014: 504-509 - 2013
- [c4]Xiaolu Xiong, Joseph E. Beck, Shoujing Li:
Class Distinctions: Leveraging Class-Level Features to Predict Student Retention Performance. AIED 2013: 820-823 - [c3]Joseph Beck, Xiaolu Xiong:
Limits to accuracy: how well can we do at student modeling? EDM 2013: 4-11 - [c2]Shoujing Li, Xiaolu Xiong, Joseph Beck:
Modeling student retention in an environment with delayed testing. EDM 2013: 328-329 - [c1]Xiaolu Xiong, Shoujing Li, Joseph E. Beck:
Will You Get It Right Next Week: Predict Delayed Performance in Enhanced ITS Mastery Cycle. FLAIRS 2013
Coauthor Index
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