Xiaolu Xiong

According to our database, Xiaolu Xiong authored at least 15 papers between 2013 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2017

A Memory-Augmented Neural Model for Automated Grading.

Siyuan Zhao, Yaqiong Zhang, Xiaolu Xiong, Anthony Botelho, Neil T. Heffernan

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Incorporating Rich Features into Deep Knowledge Tracing.

Liang Zhang, Xiaolu Xiong, Siyuan Zhao, Anthony Botelho, Neil T. Heffernan

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Experimenting Choices of Video and Text Feedback in Authentic Foreign Language Assignments at Scale.

Xiwen Lu, Xiaolu Xiong, Neil T. Heffernan

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

2016

The Future of Adaptive Learning: Does the Crowd Hold the Key?

Neil T. Heffernan, Korinn S. Ostrow, Kim M. Kelly, Douglas Selent, Eric Van Inwegen, Xiaolu Xiong, Joseph Jay Williams

Int. J. Artif. Intell. Educ., 2016

Going Deeper with Deep Knowledge Tracing.

Xiaolu Xiong, Siyuan Zhao, Eric Van Inwegen, Joseph Beck

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Using and Designing Platforms for In Vivo Education Experiments.

Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan

CoRR, 2015

Using and Designing Platforms for In Vivo Educational Experiments.

Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Improving students' long-term retention performance: a study on personalized retention schedules.

Xiaolu Xiong, Yan Wang, Joseph Barbosa Beck

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Improving Long-Term Retention Level in an Environment of Personalized Expanding Intervals.

Xiaolu Xiong, Joseph Barbosa Beck

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

A Study of Exploring Different Schedules of Spacing and Retrieval Interval on Mathematics Skills in ITS Environment.

Xiaolu Xiong, Joseph E. Beck

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Improving Retention Performance Prediction with Prerequisite Skill Features.

Xiaolu Xiong, Seth Adjei, Neil T. Heffernan

Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013

Will You Get It Right Next Week: Predict Delayed Performance in Enhanced ITS Mastery Cycle.

Xiaolu Xiong, Shoujing Li, Joseph E. Beck

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Modeling student retention in an environment with delayed testing.

Shoujing Li, Xiaolu Xiong, Joseph Beck

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Limits to accuracy: how well can we do at student modeling?

Joseph Beck, Xiaolu Xiong

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Class Distinctions: Leveraging Class-Level Features to Predict Student Retention Performance.

Xiaolu Xiong, Joseph E. Beck, Shoujing Li

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013