Learning engagement is both a variable that can be shaped by the environment and a strong predictor of student interest, academic achievement, and retention. Over the past two decades, academic interest in the study of learning engagement has grown, resulting in a stable and productive field of research. In the context of deep coupling of technology and education, the learning system generates rich log data covering learners' clicking behaviors, interaction behaviors, response feedbacks, and so on. Therefore, learning behavior modeling and interaction behavior analysis have also become a hot research topic in the field of learning analytics. In this workshop, we will explore the paradigms and methods of data-driven teaching and learning, and explore ways to understand learning outcomes and learning-related artifacts based on learning inputs, learning collaborative behaviors, and biodata indicators.

Through this workshop, we hope to reach in-depth exchanges and interactions, professional discussions and future cooperation intentions, with a view to triggering the collision of ideas and precipitation of results in the field of data-driven teaching and learning.

Workshop Chairman, Professor Qi Zhang (zqzqhata@sina.com)

Qi Zhang received the Ph.D. degree from Beijing Normal University, Beijing, China and a distinguished researcher at the Engineering Research Center of the Ministry of Education for Digital Learning and Education Public Services. He is currently a professor at Huaibei Normal University, with research interests in intelligent education and virtual reality education.  

Workshop Co-Chairmans Professor Mingwen Tong (tongliuwen@163.com)

Associate Dean, Professor, Supervisor of doctoral students, Department of Artificial Intelligence Education, Central China Normal University

Workshop Co-Chairmans Professor HANG Hu (ethuhang@swu.edu.cn)

Director of the Excellent (Intelligent) Teaching Center at Southwest University, Convener of the National "Deep Learning and Technology Education" Alliance.

Workshop Program Committee (in pinyin order)

1. Hongquan Bai, Nanjing Normal University

2. Zhenzhen Chen, Beijing University of Posts and Telecommunications

3. Meng Cui, Guangzhou No. 2 Normal College

4. Rongxiao Cai, No. 9 Middle School, Qingdao, Shandong Province, China

5. Bo Jiang, East China Normal University

6. Yunzhen Liang, Henan Normal University

7. Tao Tao Long, Central China Normal University

8. Yong Liu, Beijing University of Posts and Telecommunications

9. Zhiqiang Ma, Jiangnan University

10. Yantao Wei, Central China Normal University

11. Huang Yao, Central China Normal University

12. Yonghai Zhu, Capital Normal University

13. Muhua Zhang, Capital Normal University

Draft meeting schedule (hosted by Mingwen Tong and Hang Hu)

1.Invited Speaker: Liu Ge Ping, Dean, School of Educational Technology, Southwest University, China

2. Expert reports: Mingwen Tong, Bo Jiang, Huang Yao, Rongxiao Cai (Qi Zhang)

3. Author Sharing and multi-expert reviews (Reviews: All experts)

4. Smart Education Enterprise Case Sharing (Reviews: Tao Tao Long, Yonghai Zhu)

Topics and Paper Format (Both Chinese and English papers are acceptable)

Paper topics include but are not limited to:

1. methods and strategies for data-driven education;

2. Learning (behavioral/cognitive/emotional) input definitions, frameworks and assessments;

3. Modeling and evaluation of online collaborative learning;

4. Modeling of learning behaviors in intelligent guided learning systems, online learning platforms, and gamified learning environments;

5. The relationship between online learning behaviors and knowledge construction;

6. Learning prediction and learner characterization based on process learning data.

In addition to the above, the management and research results of related technology methods in educational scenarios (regional, school or classroom), as well as the practical presentation of real cases are also welcome.

Paper Submission

We sincerely invite experts and scholars, master and doctoral students, university teachers, administrators and front-line teachers in related fields to submit papers. Formats include papers, case studies, reports, prototypes, etc. Authors should write their papers in Chinese or English (4 pages for short papers and 8 pages for long papers), and the format should follow the conference paper format, the template of which can be obtained from the following address:

http://gccce2024.swu.edu.cn/gccce2024Chinese.doc  

http://gccce2024.swu.edu.cn/gccce2024English.doc

Submission and inquiry: gccce_workshop@163.com (papers can be sent to this email address)

After the paper is approved, please register and pay the fee on the conference website.

Key Dates

Deadline for paper submission: March 25, 2024

Date of notification of final decision: April 8, 2024

Date of finalization of papers: April 22, 2024 (Please also submit a copyright authorization)

Workshop paper registration: April 30, 2024 (The early bird registration deadline is April 23, 2024)