TY - GEN
T1 - Quantifying Differences in Students' Participation Patterns in Classroom Discussions
AU - Bouton, Edith
AU - Asterhan, Christa
N1 - Publisher Copyright: © 2023 International Society of the Learning Sciences (ISLS). All rights reserved.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Research has shown that student participation in classroom dialogues is associated with learning gains, and initiatives to encourage more dialogic forms of learning and teaching are abundant. Yet, less is known about how different students may experience, participate in, and what they may gain from dialogic classroom activities. In the current work, we explore potential differences in participation of high and low-achieving students (from 6 different classrooms) in upper elementary Hebrew lessons of teachers who participated in a professional development program on academically productive dialogue. We used Epistemic Network Analysis to identify differences across twelve lessons. Findings reveal that the network model of low-achieving students is characterized by simpler talk moves, reduced connectivity, and repetitive loops. In contrast, high achieving students' network model is more interconnected, and the strongest connections formed among codes there are indicative of a reasoned argumentation and critical stance. Analyses of selected excerpts further explored the dynamics that may have led to these different patterns.
AB - Research has shown that student participation in classroom dialogues is associated with learning gains, and initiatives to encourage more dialogic forms of learning and teaching are abundant. Yet, less is known about how different students may experience, participate in, and what they may gain from dialogic classroom activities. In the current work, we explore potential differences in participation of high and low-achieving students (from 6 different classrooms) in upper elementary Hebrew lessons of teachers who participated in a professional development program on academically productive dialogue. We used Epistemic Network Analysis to identify differences across twelve lessons. Findings reveal that the network model of low-achieving students is characterized by simpler talk moves, reduced connectivity, and repetitive loops. In contrast, high achieving students' network model is more interconnected, and the strongest connections formed among codes there are indicative of a reasoned argumentation and critical stance. Analyses of selected excerpts further explored the dynamics that may have led to these different patterns.
UR - http://www.scopus.com/inward/record.url?scp=85183866722&partnerID=8YFLogxK
U2 - https://doi.org/10.22318/cscl2023.131890
DO - https://doi.org/10.22318/cscl2023.131890
M3 - Conference contribution
T3 - Computer-Supported Collaborative Learning Conference, CSCL
SP - 147
EP - 154
BT - ISLS Annual Meeting 2023
A2 - Damsa, Crina
A2 - Borge, Marcela
A2 - Koh, Elizabeth
A2 - Worsley, Marcelo
T2 - 16th International Conference on Computer-Supported Collaborative Learning, CSCL 2023
Y2 - 10 June 2023 through 15 June 2023
ER -