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Related Experiment Video

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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

Learning analytics dashboards for adaptive support in face-to-face collaborative argumentation.

Jeongyun Han¹, Kwan Hoon Kim², Wonjong Rhee¹

¹Department of Transdisciplinary Studies, Seoul National University, Seoul, South Korea.

Computers & Education

|October 13, 2020

Summary

Learning analytics dashboards enhance face-to-face collaborative argumentation by providing adaptive feedback. This system improved student participation and argument quality in a university setting.

Keywords:

Adaptive instruction Argumentation Collaborative learning Dashboard Learning analytics

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Area of Science:

Educational Technology
Learning Analytics
Collaborative Learning

Background:

Learning analytics show promise for personalized learning but are underutilized in face-to-face collaborative learning.
Existing research often overlooks the application of learning analytics in supporting synchronous, in-person group work.

Purpose of the Study:

To develop and evaluate a learning analytics dashboard system for adaptive support in face-to-face collaborative argumentation (FCA).
To investigate the impact of adaptive feedback and support on student engagement and argument quality during FCA.

Main Methods:

Development of two distinct dashboards: one for students and one for instructors.
Implementation of the dashboard system in a 4-week university course involving 88 students.
Evaluation of the system's effectiveness through analysis of FCA processes, outcomes, and student perceptions.

Main Results:

The learning analytics dashboards significantly improved both the process and outcomes of FCA.
Students demonstrated increased active participation and generated higher-quality arguments.
Students reported positive attitudes, perceiving the dashboards as useful and user-friendly.

Conclusions:

Learning analytics dashboards are effective tools for enhancing collaborative learning through adaptive feedback and support.
The developed system offers a viable model for integrating learning analytics into face-to-face learning environments.
Design considerations for adaptive support dashboards in F2F contexts are highlighted.