An automatic short-answer grading model for semi-open-ended questions L Zhang, Y Huang, X Yang, S Yu, F Zhuang Interactive learning environments 30 (1), 177-190, 2022 | 50 | 2022 |
Evaluation of a meta-tutor for constructing models of dynamic systems L Zhang, K VanLehn, S Girard, W Burleson, ME Chavez-Echeagaray, ... Computers & Education 75, 196-217, 2014 | 41 | 2014 |
The affective meta-tutoring project: How to motivate students to use effective meta-cognitive strategies K VanLehn, W Burleson, MEC Echeagaray, R Christopherson, ... 19th International Conference on Computers in Education, Chiang Mai …, 2011 | 28 | 2011 |
How do machine-generated questions compare to human-generated questions? L Zhang, K VanLehn Research and practice in technology enhanced learning 11, 1-28, 2016 | 26 | 2016 |
The affective meta-tutoring project: lessons learned K VanLehn, W Burleson, S Girard, ME Chavez-Echeagaray, ... Intelligent Tutoring Systems: 12th International Conference, ITS 2014 …, 2014 | 25 | 2014 |
Can a non-cognitive learning companion increase the effectiveness of a meta-cognitive learning strategy? K VanLehn, L Zhang, W Burleson, S Girard, Y Hidago-Pontet IEEE Transactions on Learning Technologies 10 (3), 277-289, 2016 | 18 | 2016 |
Defining the behavior of an affective learning companion in the affective meta-tutor project S Girard, ME Chavez-Echeagaray, J Gonzalez-Sanchez, ... Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 18 | 2013 |
Automatic Chinese short answer grading with deep autoencoder X Yang, Y Huang, F Zhuang, L Zhang, S Yu Artificial Intelligence in Education: 19th International Conference, AIED …, 2018 | 13 | 2018 |
Adaptively selecting biology questions generated from a semantic network L Zhang, K VanLehn Interactive Learning Environments 25 (7), 828-846, 2017 | 13 | 2017 |
Can students identify the relevant information to solve a problem? L Zhang, S Yu, B Li, J Wang Journal of Educational Technology & Society 20 (4), 288-299, 2017 | 12 | 2017 |
Evaluation of auto-generated distractors in multiple choice questions from a semantic network L Zhang, K VanLehn Interactive Learning Environments 29 (6), 1019-1036, 2021 | 11 | 2021 |
Does a Distributed Practice Strategy for Multiple Choice Questions Help Novices Learn Programming? L Zhang, B Li, Q Zhang, IH Hsiao International Journal of Emerging Technologies in Learning (iJET) 15 (18 …, 2020 | 9 | 2020 |
Automatic Chinese reading comprehension grading by LSTM with knowledge adaptation Y Huang, X Yang, F Zhuang, L Zhang, S Yu Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 9 | 2018 |
Can short answers to open response questions be auto-graded without a grading rubric? X Yang, L Zhang, S Yu Artificial Intelligence in Education: 18th International Conference, AIED …, 2017 | 8 | 2017 |
The level up procedure: How to measure learning gains without pre-and post-testing K VanLehn, W Burleson, ME Chavez-Echeagaray, R Christopherson, ... Proceedings of the 19th International Conference on Computers in Education …, 2011 | 7 | 2011 |
Evaluation of a practice system supporting distributed practice for Novice Programming Students B Li, F Ning, L Zhang, B Yang, L Zhang Journal of Pacific Rim Psychology 15, 18344909211008264, 2021 | 6 | 2021 |
Evaluation of a student-centered online one-to-one tutoring system L Zhang, M Pan, S Yu, L Chen, J Zhang Interactive Learning Environments, 1-19, 2021 | 5 | 2021 |
Using HCI task modeling techniques to measure how deeply students model S Girard, L Zhang, Y Hidalgo-Pontet, K VanLehn, W Burleson, ... Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 5 | 2013 |
Disclosing Personal Names in Screen Names Predicts Better Final Achievement Levels in Massive Open Online Courses Y Tian, WN Huang, L Zhang, T Wang Ieee Access 9, 50926-50938, 2021 | 3 | 2021 |
Biology question generation from a semantic network L Zhang Arizona State University, 2015 | 2 | 2015 |