Jiangbo

1. 2020.04 until now: Department of Educational Information Technology, East China Normal University

2. 2014.3-2020.3: Department of Educational Information Technology,Zhejiang University of Technology

Dr. Bo Jiang is currently an associate professor in educational technology at the Department of Educational Information Technology, East China Normal University, China. He has a B.S. and M.S. in Computer Science. He received a Ph.D. degree in control science and engineering from Zhejiang University, China. His multidisciplinary background supports his research goal of creating new educational technologies to improve students’ learning, and cultivating students’ computational thinking as well as artificial intelligence literacy. His research interests include intelligent tutoring technologies, computational thinking education, artificial intelligence education. He has published over 40 publications (25 journal papers) in peer-reviewed journals, conferences, workshops, and book chapters. As project investigator, he received two grants from the National Natural Science Foundation of China. He is an Associate Editor of IEEE Transactions on Learning Technology, and International Journal of Bio-Inspired Computation. He is also elected to the Executive Committee of the Asia-Pacific Society on Computers in Education (APSCE) in 2018.

1. Program Committee Chair, The 27th Global Chinese Conference on Computers in Education (GCCCE 2023)

2. Associate Editor, IEEE Transactions on Learning Technologies（2020-2023）

3. EC member, Asia-Pacific Society on Computers in Education（2018-2022）

4. Associate Editor,International Journal of Computing Science and Mathematics（2016-2018）

1. Intelligent Tutoring System

2. Learning Analytics

3. Educational Data Mining

4. Programming and AI education

Journal Paper：

1.    Bo Jiang and Wei Zhao, Nuang Zhang, Feiyue Qiu. Programming Trajectories Analytics in Block-Based Programming Language Learning. Interactive Learning Environment. 2022, 30(1): 113-126（SSCI , IF=3.928）

2.    Bo Jiang, Wei Zhao. Xiaoqing Gu. Understanding the relationship between computational thinking and computational participation: A case study from Scratch online community. Educational Technology Research and Development. 2021,69:2399-2421（SSCI, IF=3.525）

3.    Bo Jiang, Zhixuan Li. Effect of Scratch on computational thinking skills of Chinese primary school students. Journal of Computers in Education. 2021,8：505-525.

4.    Jiajin Ding, Huanlei Guo, Jun Yu, Bo Jiang. Distributed feedback network for single-image deraining. Information Sciences, 2021, 572:611-626.（SCI 一区，IF=6.795）

5.    Bo Jiang, Simin Wu, Chengjiu Yin, Haifeng Zhang. Knowledge Tracing within Single Programming Practice Using Problem-Solving Process Data. IEEE Transactions on Learning Technologies, 2020,13(4):822-832. （SSCI , IF=3.720）

6.    Bo Jiang, Feiyue Qiu, Liping. Wang. Bi-level weighted multi-view clustering via hybrid particle swarm optimization. Information Processing and Management, 2016,52 (3): 387–398. （SSCI , IF:6.222）

7.    Bo Jiang, Feiyue Qiu, Liping. Wang. Multi-View Clustering via Simultaneous Weighting on View and Feature. Applied Soft Computing,2016,47:304-315.（SCI , IF=6.725）

8.    Bo Jiang, N. Wang. Cooperative bare-bone particle swarm optimization for data clustering. Soft Computing, 2014,18(6):1079-1091.（SCI 二区）

9.    Bo Jiang, N. Wang, L. Wang. Parameter identification for solid oxide fuel cells using cooperative barebone particle swarm optimization with hybrid learning. International Journal of Hydrogen Energy,2014,39(1):532-542.（SCI 一区）

10.   Bo Jiang, N. Wang, L. Wang. Particle swarm optimization with age-group topology for multimodal functions and data clustering. Communications in Nonlinear Science and Numerical Simulation, 2013,18(11): 3134-3145.（SCI 一区）

11.   Bo Jiang, N. Wang, X. Li. Particle swarm optimizer with aging operator for multimodal function optimization. International Journal of Computational Intelligence Systems, 2013,6(5):862-880.（SCI）

12.   Jiajun Ding, Junqing Yuan, Bo Jiang.Community detection by propagating the label of center. Physica A: Statistical mechanics and its applications. 2018,503:675-686. （SCI  IF=3.263）

13.   Jiajun Ding, Xiongxiong He, Junqing Yuan; Bo Jiang. Automatic clustering based on density peak detection using generalized extreme value distribution. Soft Computing, 2018, 22(9):2777-2796. （SCI IF=3.643）

14.  江波*, 杜影，顾美俊. 智能教材研究综述，开放教育研究，2022, 28(3): 39-50. (CSSCI)

15.  顾美俊，江波*，殷成久. 数字教材阅读中回看行为与学习效果的关系, 现代教育技术, 2022, 32(5): 49-58. (CSSCI )

16.  张暖, 江波*. 学习者知识追踪研究进展综述，计算机科学，2021，48（4）：213-222.（CCF-B类期刊）

17.  江波,高明, 陈朝阳. 建构学习行为模式发现与学习效果关系研究.远程教育杂志，2018(4)：95-103.(CSSCI)

18.  江波,高明,陈志翰,王小霞.基于行为序列的学习过程分析与学习效果预测.现代远程教育研究,2018(02):103-112. (CSSCI)

19.  江波,高明,丁继红.虚拟仿真实验学习行为分析.中国远程教育,2017(9): 11-18. (CSSCI)

20.  江波,李万健,李芷璇,叶韵. 基于面部情绪的学习困惑自动识别法,开放教育研究, 2018, 24(4):101-108. (CSSCI)

21.  江波,王小霞,刘迎春,高明.在线测评中的学习者眼动行为分析.现代教育技术,2018,28(05):19-25. (CSSCI)

 Early Career Research Award, 2021, Asia-Pacific Society on Computers in Education