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  5. To speak or not to speak, and what to speak, when doing task actions collaboratively∗
 
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To speak or not to speak, and what to speak, when doing task actions collaboratively∗

Source
Proceedings of the International Conference on Educational Data Mining
Date Issued
2023-01-01
Author(s)
Nasir, Jauwairia
Kothiyal, Aditi  
Sheng, Haoyu
Dillenbourg, Pierre
DOI
10.5281/zenodo.8115689
Abstract
Transactive discussion during collaborative learning is crucial for building on each other’s reasoning and developing problem solving strategies. In a tabletop collaborative learning activity, student actions on the interface can drive their thinking and be used to ground discussions, thus affecting their problem-solving performance and learning. However, it is not clear how the interplay of actions and discussions, for instance, how students performing actions or pausing actions while discussing, is related to their learning. In this paper, we seek to understand how the transactivity of actions and discussions is associated with learning. Specifically, we ask what is the relationship between discussion and actions, and how it is different between those who learn (gainers) and those who do not (non-gainers). We present a combined differential sequence mining and content analysis approach to examine this relationship, which we applied on the data from 32 teams collaborating on a problem designed to help them learn concepts of minimum spanning trees. We found that discussion and action occur concurrently more frequently among gainers than non-gainers. Further we find that gainers tend to do more reflective actions along with discussion, such as looking at their previous solutions, than non-gainers. Finally, gainers discussion consists more of goal clarification, reflection on past solutions and agreement on future actions than non-gainers, who do not share their ideas and cannot agree on next steps. Thus this approach helps us identify how the interplay of actions and discussion could lead to learning, and the findings offer guidelines to teachers and instructional designers regarding indicators of productive collaborative learning, and when and how, they should intervene to improve learning. Concretely, the results sug gest that teachers should support elaborative, reflective and planning discussions along with reflective actions.
URI
http://repository.iitgn.ac.in/handle/IITG2025/33621
Keywords
collaborative learning | content analysis | sequence mining | transactivity
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