Peer learning in an undergraduate linear Algebra course - A social network analysis
This study employs Social Network Analysis (SNA) to explore peer learning behaviors among undergraduate Linear Algebra students. By examining the relational dynamics within the classroom, SNA unveils patterns of interaction, information flow, and collaboration among students. Our analysis identifies...
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sg-smu-ink.sis_research-95082024-09-06T01:50:15Z Peer learning in an undergraduate linear Algebra course - A social network analysis THULASIDAS, Manoj SHIM, Kyong Jin TEO, Jonathan This study employs Social Network Analysis (SNA) to explore peer learning behaviors among undergraduate Linear Algebra students. By examining the relational dynamics within the classroom, SNA unveils patterns of interaction, information flow, and collaboration among students. Our analysis identifies the prevalence and evolution of peer learning, and how it influences the students' academic performance. It also unveils the attributes of the students who engage in peer helping and the formation of small communities through such interactions. The findings of the study can provide valuable insights for educators aiming to enhance peer learning and improve educational practices in Linear Algebra and other fundamental subjects, thereby contributing to curriculum development and educational reforms. 2023-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8505 info:doi/10.1109/TALE56641.2023.10398401 https://ink.library.smu.edu.sg/context/sis_research/article/9508/viewcontent/Peer_Learning_in_Linear_Algebra_av.pdf http://creativecommons.org/licenses/by-nc-sa/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University affective skill computer science linear algebra peer learning social network analysis Curriculum and Instruction Numerical Analysis and Scientific Computing |
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affective skill computer science linear algebra peer learning social network analysis Curriculum and Instruction Numerical Analysis and Scientific Computing THULASIDAS, Manoj SHIM, Kyong Jin TEO, Jonathan Peer learning in an undergraduate linear Algebra course - A social network analysis |
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This study employs Social Network Analysis (SNA) to explore peer learning behaviors among undergraduate Linear Algebra students. By examining the relational dynamics within the classroom, SNA unveils patterns of interaction, information flow, and collaboration among students. Our analysis identifies the prevalence and evolution of peer learning, and how it influences the students' academic performance. It also unveils the attributes of the students who engage in peer helping and the formation of small communities through such interactions. The findings of the study can provide valuable insights for educators aiming to enhance peer learning and improve educational practices in Linear Algebra and other fundamental subjects, thereby contributing to curriculum development and educational reforms. |
format |
text |
author |
THULASIDAS, Manoj SHIM, Kyong Jin TEO, Jonathan |
author_facet |
THULASIDAS, Manoj SHIM, Kyong Jin TEO, Jonathan |
author_sort |
THULASIDAS, Manoj |
title |
Peer learning in an undergraduate linear Algebra course - A social network analysis |
title_short |
Peer learning in an undergraduate linear Algebra course - A social network analysis |
title_full |
Peer learning in an undergraduate linear Algebra course - A social network analysis |
title_fullStr |
Peer learning in an undergraduate linear Algebra course - A social network analysis |
title_full_unstemmed |
Peer learning in an undergraduate linear Algebra course - A social network analysis |
title_sort |
peer learning in an undergraduate linear algebra course - a social network analysis |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2023 |
url |
https://ink.library.smu.edu.sg/sis_research/8505 https://ink.library.smu.edu.sg/context/sis_research/article/9508/viewcontent/Peer_Learning_in_Linear_Algebra_av.pdf |
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