Smart Learning Enviroments (SLEs) make use of adaptive technologies and are designed to include innovative features and capabilities that improve understanding and performance for learners and teachers. SLEs provide learners with adequate support at the right time and place based on individual learning needs, which are determined by analysing their learning behaviours, performance and contexts . Given that SLEs afford various features and attributes like adaptation, flexibility, thoughtfulness, there are clear connections to research with SLE and Multimodal Learning Analytics (MMLA) that have brought together diverse fields that combine educational, computational, psychological, and related research into how people learn and how this can support complex processes with technology.
The Workshop will serve as a forum to exchange ideas on how we as a community can use our knowledge and experiences from CrossMMLA to design new tools to analyse evidence from multimodal data and SLEs. In addition, we are interested in how we can extract meaning from these increasingly fluid and complex data coming from different kinds of transformative learning situations and how best to provide feedback on the results of these analyses to support those learning processes positively.
The dimensions and contexts of SLEs that utilise MMLA are complex and layered and provide researchers with multiple challenges. In addition, education is embracing hybrid approaches for learning and teaching, and the CrossMMLA community needs to find ways to research, design, and further develop tools and methods to investigate these new landscapes.
The Workshop aims to discuss the main issues to further research, development, and implementation with SLE and how these overlap with LA. Plus, how SLE research and practice can utilise the latest advances in LA. Contributions from the following topics are welcome (but not limited):
Ethics-driven LA for SLEs
Human-centred MMLA and SLEs
Personalization for data-driven interventions
New IoT scenarios for MMLA and SLEs
Multimodal data approaches for SLEs
Theoretical foundations for the design and evaluation of SLE considering learners' needs and motivation
Visualisation techniques for learners and teachers
Multimodal interfaces to provide feedback to learner and teachers
The Workshop is synchronous with the papers available to interested parties from the beginning of March 14, 2022. The papers allow participants (and interested people) to start conversations about the position papers. The Workshop takes place during the pre-conference schedule of the main conference and is a half-day format of up to 3 hours (March 21, 2022, at 3 PM Pacific time).
3.00-3.30 Hello and introductions
3:30-4.30 Abstract presentations (3 + discussion - see below)
4.30-4.45 Break
4.45-5.45 Abstract presentations (3 + discussion - see below)
5.45 - 6.00 Summary and Next steps
Davinia Hernández-Leo- UPF, Spain
Mutlu Cukurova - UCL, England
Elise Lavoue - Université de Lyon, France
Miguel L. Bote Lorenzo - UVA, Spain
Michail Giannakos - NTNU, Norway
Xavier Ochoa - NYU, USA
Daniele Di Mitri - DIPF, Germany
Daniel Spikol - UCPH, Denmark