Call for papers

Special Sessions

Keynote Speakers







Organized by
Zhejiang University Institute of Computing Innovation, China

Co-Sponsored by
IEEE SMC Society
CSCWD International Working Group
Zhejiang Sci
-Tech University, China

General Conference Chair
Gang Chen

General Conference Co-Chairs
Xiaoping Liu
Jano de Souza
Amy Trappey
Marco Borges
Yong Tang

Program Committee Co-Chairs
Weiming Shen
Jean-Paul Barthès
Junzhou Luo

Publication Chair
Jinghui Zhang

Special Session Chair
Haibin Zhu

Finance Chair / Treasurer
Kunkun Peng

Local Arrangement Chairs
Sai Wu
Jinfeng Gao

International Steering Committee

Jean-Paul Barthès
Junzhou Luo
Weiming Shen

Jinghui Zhang

Pedro Antunes
Marcos Borges
Kuo-Ming Chao
Jano de Souza
Susan Finger
Giancarlo Fortino
Liang Gao
Ning Gu
Anne James
Peter Kropf
Weidong Li
Xiaoping P. Liu
Xiaozhen Mi
Hugo Paredes
José A. Pino
Yanjun Shi
Amy Trappey
Chunsheng Yang
Yun Yang
Jianming Yong
Qinghua Zheng


SS6: Analytic technology and methods in educational management             


·   Organizers


Xuesong Zhai - xszhai@zju.edu.cn, w.guo@cqu.edu.au

·   Description/Abstract


The recent years have witnessed the increasing cutting-edge technology and interdisciplinary study conducted in educational theory and practice, which arouse varied challenges generated by the analytic techniques and pedagogical design.For example, learners’ multimodal biofeedback is suggested to be involved into the analysis of learning behavio. Fusion of eye-tracking, facial expressions and arousal data provide the best prediction of effort and performance in adaptive learning settings(Kshitij Sharma, 2019). There are already quite a few AI analytic systems that have been shown to have statistically significant positive impacts on student learning(Rosemary, 2019). Besides, educational big data together with the emerging advanced machine learning algorithms, like DNN, bring possibility for investigating learning behavior automatically and intelligently (Kirsty, 2019). Open-aceessed online learning systems with Artificial Intelligence (AI) benefit both course evaluation and management (Joshua et al. , 2019). There is no doubt technique will, if not already have, update and iterate the educational research and development.

Moreover, a trend of interdisciplinary research and diversified international cooperation has emerged, which require educational research should be comprehensively engaged in a multidisciplinary context with information science, neuroscience, complex statistics and so on so forth. Interdisciplinary research from the learning sciences has helped us understand a great deal about the way that humans learn, and as a result we now have an improved understanding about how best to teach and train people (Rosemary Luckin & Mutlu Cukurova, 2019).Advanced technology development and interdisciplinary research bring both opportunities and challenges to the field of education, warranting innovative research.