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Charting the Development of Collaboration Skills through Analytics-Supported Feedback
Charting the Development of Collaboration Skills through Analytics-Supported Feedback
When: Thursday, April 25, 2024, 12:00 pm -1:00 pm EST
370 Jay St, 522
As a critical component of 21st-century skills, collaboration skills have been proven to enhance academic performance, workplace productivity, and foster responsible citizenship. Despite the extensive exploration of collaborative learning, the focus has predominantly been on leveraging collaboration for learning, rather than on learning collaboration itself.
In this presentation, I will share some preliminary findings from literature. The main question is: How can we develop a theoretically sound, technologically feasible, and pedagogically valid analytics-supported feedback system to help students develop their collaboration skills? I will propose an integrated framework as a starting point, through which we will navigate the current research landscape, assessing our progress and identifying future directions.
Xiaomeng Huang
Xiaomeng Huang
Xiaomeng Huang is a PhD candidate in Educational Communication and Technology. She is passionate about enhancing the development of 21st-century skills through multimodal learning analytics. Her current research centers on collaborative learning analytics, within which she seeks to use insights from fine-grained learning traces to create automated and actionable feedback for students to develop their collaboration skills. Xiaomeng holds a Master of Education in Technology, Innovation, and Education from Harvard University.
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