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.