学习分析、文本挖掘、情绪感知与识别、主题概率建模

教育与研究经历：
2009-2014年在华中师范大学分别攻读通信与信息系统专业硕士及教育信息科学技术专业博士学位。2015年起为国家数字化学习工程技术研究中心教师，从事教育大数据分析与学习者建模研究。2017年受国家留学基金委公派项目全额资助，赴柏林洪堡大学计算机科学研究所从事情绪感知与学习分析技术研发工作，担任课题组Guest Researcher（客座研究员）。

工作经历：
2018.09 – 现在，华中师范大学教育大数据应用技术国家工程实验室，副教授.
2017.08 - 2018.08，Humboldt-Universität zu Berlin，Department of Computer Science，Guest researcher，（合作者：Prof. Niels Pinkwart).
2015.01 – 2018.08，华中师范大学国家数字化学习工程技术研究中心，讲师.

受邀参与的学术活动：
2019.06，2019年"人工智能+教师"教育国际研讨会, 主旨报告，“教育中的情感分析——多模态数据驱动的情感分析,”北京，首都师范大学信息工程学院.
2019.05，2019年第六届SMP情感计算研讨会, 主旨报告，“教育中的情感分析与计算”，上海，复旦大学大数据学院.
2018.05，The second German Learning Analytics Summer Institute，Symposium speaker，“Emotional Learning Analytics and Data Ethics”, Mannheim, Germany.
2018.03，The Tenth International Conference on Computer Supported Education, Symposium speaker,“Students’ Social Network Characteristics and Learning Outcomes”, Funchal, Portugal.
2016.09，The Fifth International Conference on Educational Innovation through Technology, Video Presenter, “Emotion Recognition and Topic Mining for Course Comments in MOOCs”, Tainan, Taiwan.
2015.10，The 3rd International Conference on Frontier of Psychological and Behavioral Research in the Internet Age - International Seminar of Behavior and Textual Data Analysis， Symposium speaker, “Emotional Orientation Recognition and Topic Mining in Course Reviews”，Wuhan, China.
2015.06，The 2015 International Association for Educational Communications and Technology–Learning and Knowledge Analytics in Open Education, Roundtable speaker, “Emotion Recognition and Topic Mining for Course Comments in MOOCs”, Shanghai, China.

1.Sannyuya Liu, Shiqi Liu, Zhi Liu, Xian Peng, Zongkai Yang* (2022). Automated Detection of Emotional and Cognitive Engagement in MOOC Discussions to Predict Learning Achievement, Computers & Education, 181(3), 104461.
2.Sannyuya Liu, Lingyun Kang*, Zhi Liu, Jing Fang, Zongkai Yang, Jianwen Sun, Meiyi Wang & Mengwei Hu (2021) Computer-supported collaborative concept mapping: the impact of students’ perceptions of collaboration on their knowledge understanding and behavioral patterns, Interactive Learning Environments, DOI: 10.1080/10494820.2021.1927115
3.Peng, X*. , Han, C. , Ouyang, F. , & Liu, Z. (2020). Topic tracking model for analyzing student-generated posts in spoc discussion forums. International Journal of Educational Technology in Higher Education. 17. 35. Doi: 10.1186/s41239-020-00211-4.
4.Yang, Z. , Su, Z.* , Liu, S. , Liu, Z. , Ke, W. , & Zhao, L. (2020). Evolution features and behavior characters of friendship networks on campus life. Expert Systems with Applications, 158, 113519.
5.Liu, Z., Yang, C., Sylvio Rüdian, Liu, S.*, & Wang, T. (2019). Temporal emotion-aspect modeling for discovering what students are concerned about in online course forums. Interactive Learning Environments, 27(5-6). 598-627.
6.Liu, Z., Zhang, W., Cheng, N.H.N., Sun, J., Liu, S. (2018). Investigating relationship between discourse behavioral patterns and academic achievements of students in SPOC discussion forum. International Journal of Distance Education Technologies. 16(2). 37-50.
7.Cheng, H. N. H. , Liu, Z. , Sun, J. , Liu, S. , & Yang, Z. . (2017). Unfolding online learning behavioral patterns and their temporal changes of college students in spocs. Interactive Learning Environments. 25(2). 176-188.
8.Liu, Z., Liu, S., Liu, L., Sun, J. (2017). Discovering the two-step lag behavioral patterns of learners in the college’s SPOC platform. International Journal of Information and Communication Technology Education, 13(1). 1-13.
9.Liu, S. , Ni, C. , Liu, Z., Peng, X. , & Cheng, H. N. H. (2017). Mining individual learning topics in course reviews based on author topic model. International Journal of Distance Education Technologies, 15(3), 1-14.
10.Liu, S., Hu, Z., Peng, X., Liu, Z., Cheng, H. N. H., Sun, J. (2017). Mining Learning Behavioral Patterns of Students by Sequence Analysis in Cloud Classroom. International Journal of Distance Education Technologies, 15(1), 15-27.
11.Liu, Z., Liu, S., Liu, L., Sun, J., Peng, X., & Wang, T. (2016). Sentiment recognition of online course reviews using multi-swarm optimization-based selected features. Neurocomputing, 185, 11-20.
12.Min, L., Liu, Z., Tang, X. Y., Chen, M., & Liu, S. Y. (2015). Evaluating influential spreaders in complex networks by extension of degree. Acta Physica Sinica, 64(8): 088901.
13.Yang, Z., Liu, Z.*, Liu, S., Min, L., & Meng, W. (2014). Adaptive multi-view selection for semi-supervised emotion recognition of posts in online student community. Neurocomputing, 144(1), 138-150.
14.Liu, Z., Yang, Z., Liu, S., & Shi, Y. (2013). Semi-random subspace method for writeprint identification. Neurocomputing, 108(5), 93–102.
15.刘智,孔玺,王泰,刘三女牙,粟柱.人工智能时代机器辅助教学:能力向度及发展进路. 开放教育研究,2021,27(03):54-62.
16.陈加, 陈亚松, 李伟浩, 田元, 刘智*, 何英. 深度学习在视频对象分割中的应用与展望. 计算机学报, 2021, 44(3): 609-631
17.刘智, 刘石奇, 李卿,等, SPOC论坛中学习者兴趣主题建模及其与学习成效的关系研究, 电化教育研究, 2019, (12): 87-96.
18.刘智, 杨重阳, 刘三女牙, 柴唤友, 尼尔斯·平克瓦特, SPOC学习者认知行为及序列模式的差异性分析, 开放教育研究, 2019, 25(02): 44-52.
19.刘智, 刘三女牙, 康令云. 物理空间中的智能学伴系统:感知数据驱动的学习分析技术——访柏林洪堡大学教育技术专家Niels Pinkwart教授. 中国电化教育，2018, (7): 67-72.
20.刘智，杨重阳，彭晛，刘三女牙,等. SPOC论坛互动中学习者情绪特征及其与学习效果的关系研究. 中国电化教育, 2018, (4):102-110.
21.刘智, 张文静, 孙建文,等. 云课堂论坛中的学习者互动话语行为分析研究. 电化教育研究, 2016, (9): 95-102.
22.Liu, Z. , Mu, R. , Liu, S. , Peng, X. , & Liu, S. . (2021). Modeling Temporal Association of Cognition-Topic in MOOC Discussion to Track Learners' Cognitive Engagement Dynamics. In proceedings of Learning at Scale (L@S) 2021, Germany.
23.Liu Z., Wang T, Pinkwart N, Liu S, Kang L. (2018). An Emotion Oriented Topic Modeling Approach to Discover What Students are Concerned about in Course Forums. In 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT 2018) (pp. 170-172). IEEE.

主持项目：
2018.01 – 2020.12，国家自然科学基金“多场景网络学习中基于行为-情感-主题联合建模的学习者兴趣挖掘关键技术研究”，项目负责人
2016.07 – 2018.12，教育部人文社会科学研究基金一般项目“高校慕课环境下的互动话语行为及其对学习效果的影响机理研究”，项目负责人
2018.01 – 2019.12，湖北省自然科学基金面上项目“大规模在线教育环境中基于深度行为-主题概率建模的群体学习兴趣挖掘”，项目负责人
2018.04 – 2020.06，中央高校科研基本业务费资助项目“物理空间中学习者的情绪感知关键技术”，项目负责人
2015.04 – 2016.12，中央高校科研基本业务费资助项目“大数据环境下的学习行为分析与预测研究”，项目负责人
 
参与项目：
2017.08-2019.08，德国联邦教育与研究部重大项目“Leaning Analytics for Sensors based Adaptive Learning (LISA)”，算法设计与技术支持
2014.06-2016.12, 国家社会科学基金一般项目“面向高校青年网络行为的情感识别关键技术研究”，项目第一执行人
2011.01-2013.12, 国家“十二五”重要科技支撑计划“网络行为安全与青少年发展关键技术研究与示范应用”，核心骨干

发明专利：
一种复杂网络局部社区发现方法,发明专利,授权号: ZL201410004358.1, 2017.2
一种复杂网络中节点传播能力的评估方法,发明专利,授权号: ZL201410322575.5, 2017.6

1.刘智 合著.Learning Behavioral Differences Among Students and Ethical Issues in a University Cloud Cl[M],IGI Global,2018
2.刘三女牙，李小文，刘智 著.面向网络行为的情感识别关键技术研究[M],科学出版社,2018

1.2020年中国自动化学会科技进步奖特等奖
2.美国IGI Global第11届教育领域杰出研究奖（IGI Global's “11th Annual Excellence in Research Journal Awards）