TY - GEN
T1 - Validating an Observation Protocol for Structured Roles in Cooperative Learning
AU - Fong, Morgan M.
AU - Butler, Liia
AU - Chen, Hongxuan
AU - Herman, Geoffrey L.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This Research Full Paper presents an observation protocol to explore group processing in cooperative learning. Use of structured roles, such as Process Oriented Guided Inquiry Learning (POGIL) and pair programming, can help facilitate cooperative learning and help courses scale to large classroom sizes, decrease attrition and failure rates, and improve student performance. Our observation protocol was created to capture how groups work together in online, POGIL-inspired activities. A team of graduate student researchers developed the observation protocol for a variety of courses by observing three different computer science courses during the Spring 2021 semester. A total of 77 groups across all three courses were recorded, and percent agreement using a subset of the recordings suggested good interrater reliability (91.29%). We also extend a previous equality metric to quantify the rates of student participation, and found that it offered good differentiation between groups where one student contributed the most and groups where students contributed equally. We present example applications of our observation protocol related to general participation trends, the kinds of contributions students make, student-student bonding, and help-seeking patterns. Finally, we discuss future directions for use of our coding scheme as well as implications for implementing structured role-based cooperative learning online in the future.
AB - This Research Full Paper presents an observation protocol to explore group processing in cooperative learning. Use of structured roles, such as Process Oriented Guided Inquiry Learning (POGIL) and pair programming, can help facilitate cooperative learning and help courses scale to large classroom sizes, decrease attrition and failure rates, and improve student performance. Our observation protocol was created to capture how groups work together in online, POGIL-inspired activities. A team of graduate student researchers developed the observation protocol for a variety of courses by observing three different computer science courses during the Spring 2021 semester. A total of 77 groups across all three courses were recorded, and percent agreement using a subset of the recordings suggested good interrater reliability (91.29%). We also extend a previous equality metric to quantify the rates of student participation, and found that it offered good differentiation between groups where one student contributed the most and groups where students contributed equally. We present example applications of our observation protocol related to general participation trends, the kinds of contributions students make, student-student bonding, and help-seeking patterns. Finally, we discuss future directions for use of our coding scheme as well as implications for implementing structured role-based cooperative learning online in the future.
KW - computer science
KW - cooperative learning
KW - observation protocol
KW - online learning
KW - undergraduate
UR - http://www.scopus.com/inward/record.url?scp=85143784244&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85143784244&partnerID=8YFLogxK
U2 - 10.1109/FIE56618.2022.9962529
DO - 10.1109/FIE56618.2022.9962529
M3 - Conference contribution
AN - SCOPUS:85143784244
T3 - Proceedings - Frontiers in Education Conference, FIE
BT - 2022 IEEE Frontiers in Education Conference, FIE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Frontiers in Education Conference, FIE 2022
Y2 - 8 October 2022 through 11 October 2022
ER -