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  • Investigating Collaborative Problem Solving Behaviors during STEM+C Learning in Groups with Different Prior Knowledge Distributions
Title: Investigating Collaborative Problem Solving Behaviors during STEM+C Learning in Groups with Different Prior Knowledge Distributions
In collaborative problem-solving (CPS), students work together to solve problems using their collective knowledge and social interactions to understand the problem and progress towards a solution. This study focuses on how students engage in CPS while working in pairs in a STEM+C (Science, Technology, Engineering, Mathematics, and Computing) environment that involves open-ended computational modeling tasks. Specifically, we study how groups with different prior knowledge in physics and computing concepts differ in their information pooling and consensus-building behaviors. In addition, we examine how these differences impact the development of their shared understanding and learning. Our study consisted of a high school kinematics curriculum with 1D and 2D modeling tasks. Using an exploratory approach, we performed in-depth case studies to analyze the behaviors of groups with different prior knowledge distributions across these tasks. We identify effective information pooling and consensus-building behaviors in addition to difficulties students faced when developing a shared understanding of physics and computing concepts.  more » « less
Award ID(s):
2017000
PAR ID:
10579822
Author(s) / Creator(s):
; ; ; ; ;
Editor(s):
Clarke-Midura, J; Kollar, I; Gu, X; D’Angelo, C
Publisher / Repository:
International Society for the Learning Sciences (ISLS)
Date Published:
Page Range / eLocation ID:
107 to 114
Subject(s) / Keyword(s):
STEM+C collaborative learning metacognitive behaviors planning enacting monitoring reflection high and low performers
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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