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Humboldt-Universität zu Berlin - Faculty of Mathematics and Natural Sciences - Computer Science Education | Computer Science and Society

Dr. Liu Zhi

Dr. Liu Zhi Address: Rudower Chaussee 25, Raum 3.416
Phone: +49 30 2093-3041
Email: zhiliu@mail.ccnu.edu.cn

Zhi Liu is a visiting scholar from Central China Normal University (CCNU) from 2017 to 2018. He has been working as a research associate in National Engineering Research Center for E-learning (NERCEL) and National Engineering Laboratory for Educational Big Data (NELEBD), CCNU, Wuhan, China since 2015. He received the M.E. and Ph.D. degrees from CCNU. His research is funded by National Natural Science Foundation of China on joint modeling of behavior-emotion-topic for mining learners’ interests, and National Social Science Foundation on the analysis of online academic emotion of college students. His research interests include educational data Mining, learning Analytics, sentiment Recognition, text Mining.

Publications

Journal Articles by Z. Liu


Conference Papers


S. Liu, H. Chai, Z. Liu, N. Pinkwart, X. Han, and T. Hu
Effects of Proactive Personality and Social Centrality on Learning Performance in SPOCs
Proceedings of the 11th International Conference on Computer Supported Education vol 2, 2019
DOI, RIS, BibTex
Z. Liu, T. Wang, N. Pinkwart, S. Liu, and L. Kang
An Emotion Oriented Topic Modeling Approach to Discover What Students are Concerned about in Course Forums
Proceedings of the 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT), 2018
DOI, RIS, BibTex
Z. Liu, L. Kang, M. Domanska, S. Liu, J. Sun, and C. Fang
Social Network Characteristics of Learners in a Course Forum and Their Relationship to Learning Outcomes.
Proceedings of the 10th International Conference on Computer Supported Education, Volume 2, 2018
DOI, RIS, BibTex
S. Rüdian, N. Pinkwart, and Z. Liu
I know who you are: Deanonymization using Facebook Likes
Workshops der INFORMATIK 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, Köllen Druck+Verlag GmbH, 2018
PDF, RIS, BibTex