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Xingliang Chen
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2020 – today
- 2021
- [j3]Tianfu Li, Yan Zou, Peng-Fei Bai, Shi-Xiao Li, Huawei Wang, Xingliang Chen, Zhanao Meng, Zhuang Kang, Guofu Zhou:
Detecting cerebral microbleeds via deep learning with features enhancement by reusing ground truth. Comput. Methods Programs Biomed. 204: 106051 (2021) - 2020
- [j2]Xingliang Chen, Antonija Mitrovic, Moffat Mathews:
Learning From Worked Examples, Erroneous Examples, and Problem Solving: Toward Adaptive Selection of Learning Activities. IEEE Trans. Learn. Technol. 13(1): 135-149 (2020)
2010 – 2019
- 2019
- [j1]Xingliang Chen, Antonija Mitrovic, Moffat Mathews:
Investigating the Effect of Agency on Learning from Worked Examples, Erroneous Examples and Problem Solving. Int. J. Artif. Intell. Educ. 29(3): 396-424 (2019) - 2018
- [c5]Xingliang Chen, Antonija Mitrovic, Moffat Mathews:
Exploring Adaptive Strategies for Providing Learning Activities. UMAP 2018: 139-145 - 2017
- [c4]Xingliang Chen, Antonija Mitrovic, Moffat Mathews:
Does Adaptive Provision of Learning Activities Improve Learning in SQL-Tutor? AIED 2017: 476-479 - [c3]Xingliang Chen, Antonija Mitrovic, Moffat Mathews:
How Much Learning Support Should be Provided to Novices and Advanced Students? ICALT 2017: 39-43 - [c2]Shu Wang, Ye Chen, Wenxia Liu, Zongqi Liu, Xingliang Chen, Qi Chen:
A multistate model of wind farm in mountainous land considering ice coating. IECON 2017: 2344-2349 - 2016
- [c1]Xingliang Chen, Antonija Mitrovic, Moffat Mathews:
Do Erroneous Examples Improve Learning in Addition to Problem Solving and Worked Examples? ITS 2016: 13-22
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