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2020 – today
- 2024
[j14]Lishan Zhang
, Linyu Deng, Sixu Zhang, Ling Chen:
How Well Can Tutoring Audio Be Autoclassified and Machine Explained With XAI: A Comparison of Three Types of Methods. IEEE Trans. Learn. Technol. 17: 1302-1312 (2024)- [j13]Elizabeth Koh, Lishan Zhang, Alwyn Vwen Yen Lee, Hongye Wang:
Revolutionizing Word Clouds for Teaching and Learning With Generative Artificial Intelligence: Cases From China and Singapore. IEEE Trans. Learn. Technol. 17: 1416-1427 (2024) - [c16]Chenyu Hou, Gaoxia Zhu, Juan Zheng, Lishan Zhang, Xiaoshan Huang, Tianlong Zhong, Shan Li, Hanxiang Du, Chin Lee Ker:
Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social Annotation. LAK 2024: 518-528 - [i1]Lishan Zhang, Han Wu, Xiaoshan Huang, Tengfei Duan, Hanxiang Du:
Automatic deductive coding in discourse analysis: an application of large language models in learning analytics. CoRR abs/2410.01240 (2024) - 2023
- [j12]Shuo Feng, Lishan Zhang, Shuwen Wang, Zhihui Cai:
Effectiveness of the functions of classroom orchestration systems: A systematic review and meta-analysis. Comput. Educ. 203: 104864 (2023) - [j11]Lishan Zhang, Mengqi Pan, Shengquan Yu, Ling Chen, Jing Zhang:
Evaluation of a student-centered online one-to-one tutoring system. Interact. Learn. Environ. 31(7): 4251-4269 (2023) - [c15]Lili Liu, Lishan Zhang, Yan Shu, Shuwen Wang, Han Wu, Min Xv:
Evaluation of a collaborative reading annotation system through multimodal data analysis. CHI Extended Abstracts 2023: 382:1-382:6 - [c14]Shuwen Wang, Lishan Zhang, Sixu Zhang, Bocheng Lin, Lili Liu, Min Xv:
Reading Together: A Case Study of a Collaborative Reading System in Classroom Teaching. CHI Extended Abstracts 2023: 396:1-396:7 - 2022
- [j10]Lishan Zhang, Yuwei Huang, Xi Yang, Shengquan Yu, Fuzhen Zhuang:
An automatic short-answer grading model for semi-open-ended questions. Interact. Learn. Environ. 30(1): 177-190 (2022) - 2021
- [j9]Yuan Tian, Wan-Ning Huang, Lishan Zhang, Tai Wang:
Disclosing Personal Names in Screen Names Predicts Better Final Achievement Levels in Massive Open Online Courses. IEEE Access 9: 50926-50938 (2021) - [j8]Lishan Zhang, Kurt VanLehn:
Evaluation of auto-generated distractors in multiple choice questions from a semantic network. Interact. Learn. Environ. 29(6): 1019-1036 (2021) - [c13]Lili Liu, Huanhuan Cao, Bocheng Lin, Lishan Zhang:
A System Framework to Support the Collaborative Reading for Students. TALE 2021: 1-3 - [c12]Shuo Feng, Shuwen Wang, Yufei Chen, Sixu Zhang, Lishan Zhang:
An Integrated Observing Technic for Collaborative Learning: The Multimodal Learning Analytics Based on the Video Coding and EEG Data Mining. TALE 2021: 1097-1101 - [c11]Huanhuan Cao, Lili Liu, Bocheng Lin, Lishan Zhang:
A Computer Supported Collaborative Annotation System. TALE 2021: 1102-1105 - 2020
- [j7]Lishan Zhang, Baoping Li, Qiujie Zhang, I-Han Hsiao:
Does a Distributed Practice Strategy for Multiple Choice Questions Help Novices Learn Programming? Int. J. Emerg. Technol. Learn. 15(18): 234-250 (2020)
2010 – 2019
- 2018
- [j6]Zheng Kong, Zhi Liu, Lishan Zhang, Peng Guan, Limei Li, Liang Mei:
Atmospheric Pollution Monitoring in Urban Area by Employing a 450-nm Lidar System. Sensors 18(6): 1880 (2018) - [c10]Xi Yang, Yuwei Huang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu:
Automatic Chinese Short Answer Grading with Deep Autoencoder. AIED (2) 2018: 399-404 - [c9]Yuwei Huang, Xi Yang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu:
Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation. PAKDD (1) 2018: 118-129 - 2017
- [j5]Lishan Zhang, Shengquan Yu, Baoping Li, Jing Wang:
Can Students Identify the Relevant Information to Solve a Problem? J. Educ. Technol. Soc. 20(4): 288-299 (2017) - [j4]Lishan Zhang, Kurt VanLehn:
Adaptively selecting biology questions generated from a semantic network. Interact. Learn. Environ. 25(7): 828-846 (2017) - [j3]Kurt VanLehn, Lishan Zhang, Winslow Burleson, Sylvie Girard, Yoalli Hidalgo-Pontet:
Can a Non-Cognitive Learning Companion Increase the Effectiveness of a Meta-Cognitive Learning Strategy? IEEE Trans. Learn. Technol. 10(3): 277-289 (2017) - [c8]Xi Yang, Lishan Zhang, Shengquan Yu:
Can Short Answers to Open Response Questions Be Auto-Graded Without a Grading Rubric? AIED 2017: 594-597 - 2016
- [j2]Lishan Zhang, Kurt VanLehn:
How do machine-generated questions compare to human-generated questions? Res. Pract. Technol. Enhanc. Learn. 11(1): 7 (2016) - 2014
- [j1]Lishan Zhang, Kurt VanLehn, Sylvie Girard, Winslow Burleson, Maria Elena Chavez Echeagaray, Javier Gonzalez Sanchez, Yoalli Hidalgo-Pontet:
Evaluation of a meta-tutor for constructing models of dynamic systems. Comput. Educ. 75: 196-217 (2014) - [c7]Kurt VanLehn, Winslow Burleson, Sylvie Girard, Maria Elena Chavez Echeagaray, Javier Gonzalez Sanchez, Yoalli Hidalgo-Pontet, Lishan Zhang:
The Affective Meta-Tutoring Project: Lessons Learned. Intelligent Tutoring Systems 2014: 84-93 - [c6]Javier Gonzalez Sanchez, Maria Elena Chavez Echeagaray, Kurt VanLehn, Winslow Burleson, Sylvie Girard, Yoalli Hidalgo-Pontet, Lishan Zhang:
A System Architecture for Affective Meta Intelligent Tutoring Systems. Intelligent Tutoring Systems 2014: 529-534 - 2013
- [c5]Sylvie Girard, Maria Elena Chavez Echeagaray, Javier Gonzalez Sanchez, Yoalli Hidalgo-Pontet, Lishan Zhang, Winslow Burleson, Kurt VanLehn:
Defining the Behavior of an Affective Learning Companion in the Affective Meta-tutor Project. AIED 2013: 21-30 - [c4]Sylvie Girard, Lishan Zhang, Yoalli Hidalgo-Pontet, Kurt VanLehn, Winslow Burleson, Maria Elena Chavez Echeagaray, Javier Gonzalez Sanchez:
Using HCI Task Modeling Techniques to Measure How Deeply Students Model. AIED Workshops 2013 - [c3]Lishan Zhang, Winslow Burleson, Maria Elena Chavez Echeagaray, Sylvie Girard, Javier Gonzalez Sanchez, Yoalli Hidalgo-Pontet, Kurt VanLehn:
Evaluation of a Meta-tutor for Constructing Models of Dynamic Systems. AIED 2013: 666-669 - [c2]Sylvie Girard, Lishan Zhang, Yoalli Hidalgo-Pontet, Kurt VanLehn, Winslow Burleson, Maria Elena Chavez Echeagaray, Javier Gonzalez Sanchez:
Using HCI Task Modeling Techniques to Measure How Deeply Students Model. AIED 2013: 766-769 - [c1]Lishan Zhang, Winslow Burleson, Maria Elena Chavez Echeagaray, Sylvie Girard, Javier Gonzalez Sanchez, Yoalli Hidalgo-Pontet, Kurt VanLehn:
Evaluation of a meta-tutor for constructing models of dynamic systems. AIED Workshops 2013
Coauthor Index
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