The workshop aims to explore how learning analytics can effectively capture students’ learning experiences across diverse learning, including practice-based activities (medical simulations, sports, field-based science, vocational trades). Currently, under the current global pandemic, the notion of cross physical and virtual spaces plays a substantial factor and challenge for MMLA, which has been focused on collaborative learning in physical spaces. 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 and multisystem data.
Over the last several years Multimodal Learning Analytics (MMLA) has brought together diverse fields that combine educational, computational, psychological, and related research into how people learn and how this complex process can be supported with technology. SOLAR’s Special Interest Group on Multimodal Learning Analytics Across Spaces (Cross-MMLA SIG) aims to promote research that considers the challenges of making sense of complex educational data that involve multiple interaction modalities, people and learning spaces. Understanding and optimizing learning traces from the real world requires new degrees of sophistication across technology, learning, and design; and building upon the ongoing and previous work from the Learning Analytics and related communities.
The workshop aims to explore how learning analytics can effectively capture students’ learning experiences across diverse learning that include practice-based activities (medical simulations, sports, field-based science, vocational trades). The core challenge is to capture these interactions in a meaningful way that can be translated as part of formative assessment in real-time and post-reflective reviews. However, under the current global pandemic, the notion of cross physical and virtual spaces plays a substantial factor and challenge for MMLA, which has been focused on collaborative learning in physical spaces.
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 and multisystem data. How can we extract meaning from these increasingly fluid and complex data coming from different kinds of transformative learning situations and how to best feedback these analyses’ results to positively support those learning processes?
The CrossMMLA 2021 has an asynchronous format that includes pre-recorded video demonstrations and position papers for discussion. For video demonstrations and position papers, an online web platform will be provided for viewing 2 weeks before the workshop.
- Sensor/Data gathering setups and prototypes Data analysis/annotation methods and tools (e.g., Visual Inspection Tool and coding schemas that can be used)
- Learning activities and Pedagogical designs that could benefit especially from CrossMMLA techniques
- Examples of CrossMMLA research designs or case studies
The submissions for the position papers are focused more directly on the theme of this year’s CrossMMLA workshops crossing the physical and digital learning landscape to support learning under pandemic times. A special focus will on how MMLA can contribute to research and practice to support learning along with these themes:
- Logistical (related to the organisation and planning of multimodal data collection, implementations of MMLA in real-world settings, fidelity issues, real-world evaluations etc.)
- Methodological (related to methods, analyses, technical improvements, data cleaning, etc.)
- Pedagogical (related to the integration of our tools in existing educational settings, evaluation of their impact in learning gains, adoption by instructors and students, etc.)
- Ethical (related to the moral principles and aspects of the MMLA work, fairness, inclusion, transparency, accountability, surveillance, performance-orientation etc.)
To shape the workshop’s practical activities, we encourage participants to propose their own multimodal analytics processes or contexts of application to be used by the teams of participants during the workshop. These proposals will take the form of brief paper submissions, which will be shared with the workshop website participants before the event.
Video demos should have 1-page description using the LAK companion proceedings template submitted via Easychair and video should be uploaded to youtube, vimeo, or similar with an unlisted link included in the 1-page description.
|April 12, 2021||Half-day at LAK’21 Conference Virtual|
Daniel Spikol, University of Copenhagen
Xavier Ochoa, NYU
Marcelo Worsley, Northwestern
Daniele Di Mitri DIPF
Mutlu Cukurova, UCL Knowledge Lab
Roberto Martinez-Maldonado, Monash
Jan Schneider, DIPF