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Physical Review Special Topics - Physics Education Research
written by Jesper Bruun and Eric Brewe
The role of student interactions in learning situations is a foundation of sociocultural learning theory, and social network analysis can be used to quantify student relations. We discuss how self-reported student interactions can be viewed as processes of meaning making and use this to understand how quantitative measures that describe the position in a network, called centrality measures, can be understood in terms of interactions that happen in the context of a university physics course. We apply this discussion to an empirical data set of self-reported student interactions. In a weekly administered survey, first year university students enrolled in an introductory physics course at a Danish university indicated with whom they remembered having communicated within different interaction categories. For three categories pertaining to (1) communication about how to solve physics problems in the course (called the PS category), (2) communications about the nature of physics concepts (called the CD category), and (3) social interactions that are not strictly related to the content of the physics classes (called the ICS category) in the introductory mechanics course, we use the survey data to create networks of student interaction. For each of these networks, we calculate centrality measures for each student and correlate these measures with grades from the introductory course, grades from two subsequent courses, and the pretest Force Concept Inventory (FCI) scores. We find highly significant correlations (p<0.001) between network centrality measures and grades in all networks. We find the highest correlations between network centrality measures and future grades. In the network composed of interactions regarding problem solving (the PS network), the centrality measures hide and PageRank show the highest correlations (r=-0.32 and r=0.33, respectively) with future grades.
Subjects ADS Supplements Resource Types
Education - Applied Research
- Learning Environment
Education - Basic Research
- Behavior
= Social Interaction
- Communication
- Learning Theory
- Research Design & Methodology
= Data
= Statistics
- Student Characteristics
- Reference Material
= Research study
PER-Central Type Intended Users Ratings
- PER Literature
- Researchers
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Format:
application/pdf
Access Rights:
Free access
License:
This material is released under a Creative Commons Attribution 3.0 license.
Rights Holder:
American Physical Society
DOI:
10.1103/PhysRevSTPER.9.020109
NSF Number:
0802184
PACSs:
01.40.Fk
01.40.Ha
Record Creator:
Metadata instance created August 1, 2013 by Bruce Mason
Record Updated:
January 31, 2014 by Lyle Barbato
Last Update
when Cataloged:
July 31, 2013
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Record Link
AIP Format
J. Bruun and E. Brewe, Phys. Rev. ST Phys. Educ. Res. 9 (2), 020109 (2013), WWW Document, (http://dx.doi.org/10.1103/PhysRevSTPER.9.020109).
AJP/PRST-PER
J. Bruun and E. Brewe, Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores Phys. Rev. ST Phys. Educ. Res. 9 (2), 020109 (2013), <http://dx.doi.org/10.1103/PhysRevSTPER.9.020109>.
APA Format
Bruun, J., & Brewe, E. (2013, July 31). Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores. Phys. Rev. ST Phys. Educ. Res., 9(2), 020109. Retrieved August 1, 2014, from http://dx.doi.org/10.1103/PhysRevSTPER.9.020109
Chicago Format
Bruun, Jesper, and Eric Brewe. "Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores." Phys. Rev. ST Phys. Educ. Res. 9, no. 2, (July 31, 2013): 020109, http://dx.doi.org/10.1103/PhysRevSTPER.9.020109 (accessed 1 August 2014).
MLA Format
Bruun, Jesper, and Eric Brewe. "Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores." Phys. Rev. ST Phys. Educ. Res. 9.2 (2013): 020109. 1 Aug. 2014 <http://dx.doi.org/10.1103/PhysRevSTPER.9.020109>.
BibTeX Export Format
@article{ Author = "Jesper Bruun and Eric Brewe", Title = {Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores}, Journal = {Phys. Rev. ST Phys. Educ. Res.}, Volume = {9}, Number = {2}, Pages = {020109}, Month = {July}, Year = {2013} }
Refer Export Format

%A Jesper Bruun
%A Eric Brewe
%T Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores
%J Phys. Rev. ST Phys. Educ. Res.
%V 9
%N 2
%D July 31, 2013
%P 020109
%U http://dx.doi.org/10.1103/PhysRevSTPER.9.020109
%O application/pdf

EndNote Export Format

%0 Journal Article
%A Bruun, Jesper
%A Brewe, Eric
%D July 31, 2013
%T Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores
%J Phys. Rev. ST Phys. Educ. Res.
%V 9
%N 2
%P 020109
%8 July 31, 2013
%U http://dx.doi.org/10.1103/PhysRevSTPER.9.020109


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