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Lishan Zhang
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Year
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
412014
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
382022
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
272011
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
252014
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
242016
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
172013
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
142016
Adaptively selecting biology questions generated from a semantic network
L Zhang, K VanLehn
Interactive Learning Environments 25 (7), 828-846, 2017
132017
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
122018
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
112017
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
102021
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
82020
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
82018
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
82017
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
72011
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
52013
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
42021
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
32021
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
22021
Biology question generation from a semantic network
L Zhang
Arizona State University, 2015
22015
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