Topics

PALE session at AIED 2018 is specially focused on the enhanced sensitivity towards the management of big educational data coming from learners' interactions (e.g., multimodal sensor detection of attention and affect) and technological deployment (including web, mobiles, tablets, tabletops), and how can this wide range of situations and features impact on modeling the learner interaction and context. A relevant theme is understanding the impact of individual differences to improve instructional design theories and methods as well as enhance learning experience, engagement and motivation. In the current state of the art it is not clear how the new information sources are to be managed and combined in order to enhance interaction in a way that positively impacts the learning process whose nature is essentially adaptive. In particular, we would like to share and discuss the new trends in current research on how artificial intelligence combined with data science and other disciplines can support designers and developers to improve learning in its different stages.

Thus, this session at AIED aims to give and share promising ideas to the research question: "Which approaches can be followed to cater for the increasing amount of information available from immediate (e.g., in terms of wearable devices) to broader contexts in order to provide effective and personalized assistance in learning situations bridging the behavioral and the computational?" Thus, it captures current trends of the research fields of AIED, learning sciences, learning analytics as well as multimodal interaction research in HCI.

In particular, the topics selected to be addressed at AIED are the following:

User engagement in learning processes
Data processing within and across learning situations
Ambient intelligence
Learner and context awareness
Cognitive and meta-cognitive scaffolding
Adaptive mobile learning,
Wearable devices for sensing and acting in ubiquitous learning scenarios
Tracking technologies for accessible learning for all.