Emergent Explicit Regulation in Collaborative College Science Classrooms

Pierre-Philippe Ouimet; Ying Cao; Tong Wan

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Conference: 2022 ASEE Annual Conference & Exposition
Location: Minneapolis, MN
Publication Date: August 23, 2022
Start Date: June 26, 2022
End Date: June 29, 2022
Conference Session: ERM: Teamwork makes the dream work!
Page Count: 12
DOI: 10.18260/1-2--41060
Permanent URL: https://peer.asee.org/41060
Download Count: 212

Paper Authors

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Pierre-Philippe Ouimet University of Regina

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To be finished later.

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Ying Cao Drury University

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Dr. Ying Cao is an Assistant Professor of Education in the School of Education and Child Development at Drury University. Dr. Cao teaches Secondary School Curriculum, Methods of Teaching Science, and Methods of Teaching Mathematics. Dr. Cao earned a Ph.D. in STEM Education from Tufts University in the United States, and a B.S. in physics from Beijing Normal University in China. Dr. Cao’s research area is student learning and (meta)cognition in STEM disciplines.

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Tong Wan Westminster College

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Tong Wan is an Assistant Professor of Physics at Westminster College, a small private liberal arts college in Salt Lake City Utah. She has interests in physics education research.

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Abstract

This paper is a work in progress paper.

Small-group activities have been adopted widely in science and engineering classrooms. Research on collaborative learning has showed that some groups are more productive (in terms of meeting the learning goals of the program) than others, even if all the groups are taught by the same instructor, and are engaging in the same tasks. Group regulation is defined as groups adaptively responding to challenges in order to optimize group learning. However, empirical studies on group regulation are scarce. This study is intended to explore how college science students regulate their groups during collaborative learning.

In our video data, first year college students are engaged in small group scientific inquiry and engineering design activities. The activities are also developed to promote students’ group collaboration and reflective thinking. Activities of different types —such as reading and discussing scientific articles, designing and conducting experiments, model building— were analyzed qualitatively. First we broadly explored the videos, and noticed self-initiated group regulations emerging in different kinds of activities across different groups. We then conducted thematic coding identifying typical examples of the group regulation phenomena and examining them more closely.

In previous work we had developed a set of contextual and behavioural features of the observed group regulation and named the phenomena emergent explicit group regulation (EER). We understand EER as an “in the moment,” or emergent, regulatory response to a challenge faced by the group.

In this work, we further refine this framework by applying it to additional data. In line with the literature on regulation, we focus on instances where a group was faced with decision making in order to be able to move their work forward. Further, there was significant tension in the group on which path to take to move forward.

The conditions, context and specific characteristics of each instance of EER have similarities and variation, which can relate to the effect on the group’s productivity. Not all EER are equally productive.

Primarily, EER features that can be demonstrated in activities include: timing of demonstrated EER, the person who takes the initiative and regulates the group, regulative discourse, actions taken to regulate, physical positioning change when EER emerges, context in which an emergent EER would be helpful or necessary, and the direction the EER leads to.

By analyzing more data, we anticipate generating a more robust framework that characterizes both the challenge encountered as well as the regulatory response that was produced. With this in hand we wish to analyze patterns in the data to better understand when EER leads to productive or unproductive outcomes.

Then, based on this information, generate implications for learners and their instructors that will help stimulate more productive group interactions in scientific inquiry and engineering design.

Citation
Format

Ouimet, P., & Cao, Y., & Wan, T. (2022, August), Emergent Explicit Regulation in Collaborative College Science Classrooms Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41060

TY - CPAPER
AB - This paper is a work in progress paper.

Small-group activities have been adopted widely in science and engineering classrooms. Research on collaborative learning has showed that some groups are more productive (in terms of meeting the learning goals of the program) than others, even if all the groups are taught by the same instructor, and are engaging in the same tasks. Group regulation is defined as groups adaptively responding to challenges in order to optimize group learning. However, empirical studies on group regulation are scarce. This study is intended to explore how college science students regulate their groups during collaborative learning.

In our video data, first year college students are engaged in small group scientific inquiry and engineering design activities. The activities are also developed to promote students’ group collaboration and reflective thinking. Activities of different types —such as reading and discussing scientific articles, designing and conducting experiments, model building— were analyzed qualitatively. First we broadly explored the videos, and noticed self-initiated group regulations emerging in different kinds of activities across different groups. We then conducted thematic coding identifying typical examples of the group regulation phenomena and examining them more closely.

In previous work we had developed a set of contextual and behavioural features of the observed group regulation and named the phenomena emergent explicit group regulation (EER). We understand EER as an “in the moment,” or emergent, regulatory response to a challenge faced by the group.

In this work, we further refine this framework by applying it to additional data. In line with the literature on regulation, we focus on instances where a group was faced with decision making in order to be able to move their work forward. Further, there was significant tension in the group on which path to take to move forward.

The conditions, context and specific characteristics of each instance of EER have similarities and variation, which can relate to the effect on the group’s productivity. Not all EER are equally productive.

Primarily, EER features that can be demonstrated in activities include: timing of demonstrated EER, the person who takes the initiative and regulates the group, regulative discourse, actions taken to regulate, physical positioning change when EER emerges, context in which an emergent EER would be helpful or necessary, and the direction the EER leads to.

By analyzing more data, we anticipate generating a more robust framework that characterizes both the challenge encountered as well as the regulatory response that was produced. With this in hand we wish to analyze patterns in the data to better understand when EER leads to productive or unproductive outcomes.

Then, based on this information, generate implications for learners and their instructors that will help stimulate more productive group interactions in scientific inquiry and engineering design.
AU - Pierre-Philippe Ouimet
AU - Ying Cao
AU - Tong Wan
CY - Minneapolis, MN
DA - 2022/08/23
PB - ASEE Conferences
TI - Emergent Explicit Regulation in Collaborative College Science Classrooms
UR - https://peer.asee.org/41060
DO - 10.18260/1-2--41060
ER -