This workshop aims to discuss computational models of social computing applied to Digital Education. This is a growing field of research concerned to bring interactive social intelligence to teaching and learning in classroom. We seek to foment the discussion around new forms of automatic assessment, and models to understand the impact of social behaviour, and learning context upon learning performance. A basic premise of this workshop is to think of multidisciplinary and investigative approaches involving:

• Novel Data Mining and Machine Learning for Social Intelligence in Digital Education

• Social Modelling and Simulation to investigate Social Behaviours, Emotional Intelligence, Influence Processes and other social aspects that may influence learning performance in an educational environment

• Smart environments and Interactive systems of Social Computing in Digital Education

• Analysis of social media and media intelligence in Digital Education

• Mobile Social Gaming in Digital Education

• The utilization of mobile and wearable technology in social systems in Digital Education, and others.

The workshop is interested in attracting industrial research and academic groups conducting practical research around extended models of Computational Intelligence, Computational Social Sciences, Intelligent Information Retrieval, Social Simulation, Human-Computing Interaction, Knowledge Representation and Reasoning and others applied to the field of Digital Education and Digital Teaching Platforms. We aim at establishing a workshop series and create a research community working on scientific and technological aspects of the proposed topics. We will invite contributions of members in the industry and applied research in academia.

We intend to publish the invited, accepted and extended papers with Springer, possibly as Communications in Computer and Information Science (CCIS). However, there might be situations, where a joint publication is more reasonable and/or other publisher may be considered.