Examining the effects of lab instruction and gender composition on intergroup interaction networks in introductory physics labs

Sundstrom, Meagan; Wu, David G.; Walsh, Cole; Heim, Ashley B.; Holmes, N. G.

doi:10.1103/physrevphyseducres.18.010102

Cited by 13 publications

(2 citation statements)

References 49 publications

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“…Other studies of in-classroom networks have been used to characterize learning environments, and used to evaluate the extent of interactions between students [22,23]. Networks have recently been used in PER to explore different levels of interaction, including collaboration between lab groups and the effect of gender composition [24]. This area of study focuses on the analysis and interpretation of student interactions and have shown how social network analysis can be used to uncover relations between social interaction and learning.…”

Section: A Network Analysis In Permentioning

confidence: 99%

Network analysis approach to Likert-style surveys

Dalka,

Sachmpazidi,

Henderson

et al. 2022

Preprint

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Likert-style surveys are a widely used research instrument to assess respondents' preferences, beliefs, or experiences. In this paper, we propose and demonstrate how network analysis (NA) can be employed to model and evaluate the interconnectedness of items in Likert-style surveys. We explore the advantages of this approach by applying the methodology to the Aspects of Student Experience Scale (ASES) data set and compare the results to the principal component analysis. We find that we are able to successfully create a meaningful network based on survey item response similarity and use modular analysis of the network to identify larger themes built from the connections of particular aspects. The modular NA of the network of survey items identifies important themes that highlight differences in students' overall experiences. We also show how the resulting themes can be used to explore meaningful differences in respondents' experiences based on demographics, such as gender. Our proposed methodology is widely applicable and provides a new way to investigate phenomena assessed by Likert-style surveys.

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Section: A Network Analysis In Permentioning

confidence: 99%

Network analysis approach to Likert-style surveys

Dalka,

Sachmpazidi,

Henderson

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Here, in the face of creative activities, low achieving students tend to be more active in reaching out to their high performing peers [53]. The interplay of social ties and learning activities is also observed in lab practices, where students displayed limited number of interactions between groups in traditional labs compared to reformed labs [54], which is associated with brokering knowledge and a key process for creative solutions [32].…”

Section: Theoretical Perspectives a Student Network And Performancementioning

confidence: 99%

Long-term collaboration with strong friendship ties improves academic performance in remote and hybrid teaching modalities in high school physics

Pulgar,

Ramírez,

Umanzor

et al. 2022

Preprint

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Collaboration among students is fundamental for knowledge building and competency development. Nonetheless, the effectiveness of student collaboration depends on the extent that these interactions take place under conditions that favor commitment, trust, and decision-making among those who interact. The sanitary situation and the transition to emergency remote teaching have added new challenges for collaboration, mainly because now, students' interactions are wholly mediated by Information and Communication Technologies. This study first explores the effectiveness of different collaborative relationships on physics from a sample of secondary students from two schools located in rural and urban areas in southern Chile. We used Social Network Analysis to map students' academic prestige, collaboration, and friendship ties. We define a strong association if two students are declared mutually as friends. Using multiple linear regression models, we found positive effects of collaboration on grades, particularly among students working with friends (strong ties). Then, the second study corresponds to a quasi-experiment on four classes at the analyzed urban school during the following academic year. Here, students attended hybrid sessions to test whether the effects of collaboration found on the first study were stable throughout two semesters. We followed the same procedures as in the exploratory phase. We found that the initial effects of collaboration on grades are negative for all collaborative variables, while strong working ties afford academic gains later into the year. These results contribute to the literature of collaboration in physics education and its effectiveness, taking into account social relationships and the needed time for developing beneficial collective processes among students in the classroom. We discuss these results and their implications for instructional design and guidelines for constructive group-level processes.

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Quantitative Methods in PER

Stewart

Hansen

Ding

2023

The International Handbook of Physics Education Research: Special Topics

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Quantitative research methods have a rich history in Physics Education Research (PER). This chapter takes the reader through some of that history and outlines the most commonly used methods in the field including inferential and descriptive statistics, hypothesis testing, Type I and Type II error, classical test theory, factor analysis, item response theory, linear and logistic regression, hierarchical linear modeling, structural equation modeling, cluster analysis, machine learning, and network analysis. A short description of each technique is provided followed by a brief summary of some the studies within PER that have applied the method.

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Examining the effects of lab instruction and gender composition on intergroup interaction networks in introductory physics labs

Cited by 13 publications

References 49 publications

Network analysis approach to Likert-style surveys

Network analysis approach to Likert-style surveys

Long-term collaboration with strong friendship ties improves academic performance in remote and hybrid teaching modalities in high school physics

Quantitative Methods in PER

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