[apologies for cross posting]

 

Hi all,

 

It is our pleasure to invite you to SoLAR Webinar "Socio-spatial Learning 
Analytics for Embodied Collaborative Learning", presented by Lixiang Yan from 
Monash University, the best paper award winner of LAK22.

 

Time and date: February 9, 2023, 12:00 PM – 1:00 PM CET

Location: Zoom (meeting URL provided in the registration email)

 

To register, go to 
https://www.eventbrite.ca/e/socio-spatial-learning-analytics-for-embodied-collaborative-learning-tickets-516556493377

 

(Also, make sure you follow SoLAR's Eventbrite page to get updates for the 
future events).

 

We are looking forward to seeing you at the webinar!

 

Kind regards,

Society for Learning Analytics Research (SoLAR) 

https://solaresearch.org/

 

Socio-spatial Learning Analytics for Embodied Collaborative Learning

 

Embodied collaborative learning (ECL) provides unique opportunities for 
students to practice key procedural and collaboration skills in co-located, 
physical learning spaces where they need to interact with others and utilise 
physical and digital resources to achieve a shared goal. Unpacking the 
socio-spatial aspects of ECL is essential for developing tools that can support 
students' collaboration and teachers' orchestration in increasingly complex, 
hybrid learning spaces. Advancements in multimodal learning analytics and 
wearable technologies are motivating emerging analytic approaches to tackle 
this challenge.

 

This presentation will introduce a conceptual and methodological framework of 
social-spatial learning analytics that map from social-spatial traces captured 
through wearable sensors to meaningful educational insights. The framework 
consists of five primary phases: foundations, feature engineering, analytic 
approaches, learning analytics, and educational insights. Two illustrative 
cases will be presented to demonstrate how the framework can support 
educational research and the formative assessment of students' learning. 
Finally, the opportunities and challenges regarding socio-spatial learning 
analytics are discussed.

 

 

Bio

 

Lixiang Yan is a final-year PhD candidate at the Centre for Learning Analytics 
at Monash University. He researches multimodal learning analytics, focusing on 
classroom orchestration and collaborative learning in physical learning spaces.

 

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