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Sub-conference C1:

Learning science, computer-assisted collaborative learning and smart education

The rise of learning science is based on the reflection of cognitive science and other related disciplines,  research methods and ideas of learning .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 (with or without) how science and technology help learning occur. The applications of computer-supported collaborative learning in the field of education and smart education, emphasizing how to make full use of the function of science and technology (Affordances) and research results of learning science, and designing more effective individual and collaborative learning environment. It can synthesize the new learning theory, guide and optimize the design of learning environment through the research of student learning in the innovative learning environment with integration of science and technology in the next stage of design research. The cycle is iterative and mutually promoted.

The sub-conference involves a wide range of disciplines, including cognitive science, educational psychology, computer science, anthropology, sociology, information science, cognitive neurology, instructional design 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, computer-supported collaborative learning and smart education.

2)     Activities design of learning science, computer-supported collaborative learning and smart education.

3)     Teaching strategies applications of learning science , computer-supported collaborative learning and smart education.

4)     Innovative practical cases of learning science ,computer-supported collaborative learning and smart education.

5)     Challenges and countermeasures of computer-supported collaborative learning and smart education.

6)     Computer-supported collaborative learning system and instrument development.

7)     Evaluation and assessment of computer-supported collaborative learning.

8)      New learning paradigm and new media literacy.

9)      Smart education learning paradigm.

10)   Intelligent instructional system.

11)   Smart education learning paradigm.

12)   Collaborative learning in online education.

13)   Learning science and core literacy.

14)   Equity and Evaluation in Collaborative Learning.

15)   Application of learning education in informal learning environment.

16)   Smart education leads to the study of new educational reform.

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 prepare submissions either in English or 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 submit papers with PDF format. Please make use of the paper template for preparing submissions.

3)  Authors should make submissions by uploading papers onto the Submission System of the conference (https://easychair.org/conferences/?conf=gccce2018).

Executive Chair of the sub-conference:

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

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