GCCCE 2023

Learning Sciences is an interdisciplinary field that studies "how people learn", which includes not only formal learning in the classroom, but also informal learning in family, work and society. It has gradually developed since the 1990’s and rapidly emerged as the popular subject of international study for “learning”. The aim is to conduct a cross-domain empirical study of learning phenomena in real context, and to understand essential questions such as "how learning occurs" and "how to design the environment that supports learning to occur".

Computer-supported Collaborative Learning (CSCL) emphasizes how to make full use of the function of technology to afford process and results of group learning, and designing more effective learning environment.

The sub-conference involves a wide range of disciplines, including cognitive science, educational psychology, computer science, anthropology, sociology, information science, cognitive neurology, educational technology and other fields of knowledge and research issues. The conference welcomes scholars and practitioner teachers who are interested in this field at home and abroad to work together to explore related issues and share experiences.

The scope of papers will cover but not be limited to:

  1. Theoretical consideration of learning science and computer-supported collaborative learning
  2. Activities design of learning science and computer-supported collaborative learning
  3. Teaching strategies applications of learning science and computer-supported collaborative learning
  4. Innovation of learning science and computer-supported collaborative learning
  5. Evaluation and assessment of learning science and computer-supported collaborative learning
  6. Comparative research on learning science and computer-supported collaborative learning
  7. Process analysis of computer-supported collaborative learning
  8. Challenges and countermeasures of computer-supported collaborative learning
  9. New learning paradigm and new media learning applications
  10. Learning supported by intelligent technology

Paper submission:

Full manuscripts shall be submitted to the conference for review. Abstract submissions will NOT be accepted. This conference uses double-blind review, which means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. Please kindly note that when authors submit papers for review, the authors’ information has to be blinded in the title, the contents, and the reference part. After the paper is being accepted, the author information will be displayed in the final version of the submitted paper.

1. Authors should only prepare submissions in Chinese (Long paper: 8 pages; Short paper: 4 pages; Poster: 2 pages). Submissions written in Chinese should include the title, abstract and keywords written in both Chinese and English.

2. Authors should make submissions by uploading papers onto the Submission System of the conference (https://easychair.org/conferences/?conf=gccce2023).

3. Authors should submit papers with PDF format. Please make use of the paper template for preparing submissions.

4. Please pay attention to all English papers, regardless of topic, please submit to "English Paper Track".

5. At least one author is required to register and present for publication once a paper is accepted.

Program committee of sub-conference C1

Executive Chair of the sub-conference:

MA, Zhiqiang Jiangnan University

Co-Chairs of the sub-Conference(listed in alphabetic order of surnames):

TU, Yunfang Fu Jen Catholic University
YANG, Weipengi The Education University of Hong Kong
YANG, Yuqin Central China Normal University

Program committee members (listed in alphabetic order of surnames):

CAO, Mei Nanjing Normal University
CHANG, Shao-Chen Yuan Ze University
CHEN, Chih-Hung Taichung University of Education
CHU, Hui-Chun Soochow University
FENG, Shihui The University of Hong Kong
GAO, Dandan East China Normal University
GENG, Fengji Zhejiang University
HSIA, Lu-Ho Taiwan Chin-Yi University of Technology
HUO, Yulong Peking University
HWANG, Gwo-Haur Taiwan Yunlin University of Science and Technology
JIANG, Qiang Northeast Normal University
LAI, Chiu-Lin Taipei University of Education
LI, Haifeng Xinjiang Normal University
LIU, Chenchen Wenzhou University
LIU, Zheyu Tianjin Normal University
LUO, Heng Central China Normal University
SONG, Yu South China Normal University
SUN, Daner The Education University of Hong Kong
TANG, Kai-Yu Chung Hsing University
TONG, Yuyao The University of Hong Kong
WANG, Jing Jiangnan University
WANG, Xinghua Qingdao University
WANG, Yanli Northwest Minzu University
WU, Po-Han University of Tainan
YU, Liang Southwest University
ZHANG, Yu Tsinghua University
ZHAO, Guoqing Beijing Normal University
ZHENG, Lanqin Beijing Normal University
ZHOU, Yun Shaanxi Normal University

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