Lishan Zhang
Title
Cited by
Cited by
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
312014
The affective meta-tutoring project: lessons learned
K Vanlehn, W Burleson, S Girard, ME Chavez-Echeagaray, ...
International Conference on Intelligent Tutoring Systems, 84-93, 2014
232014
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
212011
Defining the behavior of an affective learning companion in the affective meta-tutor project
S Girard, ME Chavez-Echeagaray, J Gonzalez-Sanchez, ...
International Conference on Artificial Intelligence in Education, 21-30, 2013
132013
How do machine-generated questions compare to human-generated questions?
L Zhang, K VanLehn
Research and practice in technology enhanced learning 11 (1), 7, 2016
112016
Adaptively selecting biology questions generated from a semantic network
L Zhang, K VanLehn
Interactive Learning Environments 25 (7), 828-846, 2017
102017
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
92016
The level up procedure: How to measure learning gains without pre-and post-testing
K VanLehn, W Burleson, HC Echeagary, R Christopherson, JG Sanchez, ...
Proceedings of the 19th International Conference on Computers in Education …, 2011
62011
Evaluation of auto-generated distractors in multiple choice questions from a semantic network
L Zhang, K VanLehn
Interactive Learning Environments, 1-19, 2019
42019
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
42017
Can short answers to open response questions be auto-graded without a grading rubric?
X Yang, L Zhang, S Yu
International Conference on Artificial Intelligence in Education, 594-597, 2017
42017
Using HCI task modeling techniques to measure how deeply students model
S Girard, L Zhang, Y Hidalgo-Pontet, K VanLehn, W Burleson, ...
International Conference on Artificial Intelligence in Education, 766-769, 2013
42013
An automatic short-answer grading model for semi-open-ended questions
L Zhang, Y Huang, X Yang, S Yu, F Zhuang
Interactive Learning Environments, 1-14, 2019
32019
Automatic Chinese short answer grading with deep autoencoder
X Yang, Y Huang, F Zhuang, L Zhang, S Yu
International Conference on Artificial Intelligence in Education, 399-404, 2018
32018
Automatic Chinese reading comprehension grading by LSTM with knowledge adaptation
Y Huang, X Yang, F Zhuang, L Zhang, S Yu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 118-129, 2018
12018
How can Affect be used to improve the Learning outcomes of Interactive Instructional Systems
S Girard, K VanLehn, W Burleson, HC Echeagary, JG Sanchez, ...
International Journal of Artificial Intelligence in Education, 2015
12015
Biology question generation from a semantic network
L Zhang
Arizona State University, 2015
12015
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
2020
Mapping Machine-Generated Questions to Their Related Paragraphs in the Textbook
L Zhang
Artificial Intelligence Supported Educational Technologies, 245-259, 2020
2020
International Forum of Educational Technology & Society
L Zhang, S Yu, B Li, J Wang
Journal of Educational Technology & Society 20 (4), 288-299, 2017
2017
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Articles 1–20