Social network analysis is a broad field of analytical techniques used to explore relationships between network participants and to study the social structures that develop as a consequence of these relationships. This study uses social network analysis to track the growth of a network of STEM educators, students, and organizations over a four-year period. The network as a whole has seen significant growth in both the number of members as well as the number of connections per member. Further analysis of the network shows that the network growth is primarily fostered by new student connections, while the structure of faculty members and administrators in the network remains relatively constant. It was also found that students that were more connected within the network tended to have higher levels of persistence in their STEM degree.

Growth of West Virginia STEM Education Network

The Brief Electricity and Magnetism Assessment (BEMA) is a multiple-choice instrument measuring a student’s conceptual understanding of electricity and magnetism. This study applied modified module analysis—partial (MMA-P), a network analytic method that identifies groups of responses using partial correlations, correcting for overall instrument score, to post-test BEMA data from one institution over many years (N =12,214). In module analysis, groups of correlated responses are called “communities.” As in previous applications of MMA-P to mechanics conceptual inventories, a number of communities related to physics concepts and some communities related to the structure of blocked items in the inventory were identified. This work supports previous results of an analysis of the Conceptual Survey of Electricity and Magnetism that suggest the existence of a rich collection of misconceptions and naive conceptions about electricity and magnetism which are consistently applied by students after instruction in introductory physics.

Network Analysis of the BEMA with Modified Module Analysis-Partial

The Brief Electricity and Magnetism Assessment (BEMA) is a multiple-choice instrument measuring a student’s conceptual understanding of electricity and magnetism. This study applied modified module analysis—partial (MMA-P), a network analytic method that identifies groups of responses using partial correlations, correcting for overall instrument score, to post-test BEMA data from one institution over many years (N =12,214). In module analysis, groups of correlated responses are called “communities.” As in previous applications of MMA-P to mechanics conceptual inventories, a number of communities related to physics concepts and some communities related to the structure of blocked items in the inventory were identified. This work supports previous results of an analysis of the Conceptual Survey of Electricity and Magnetism that suggest the existence of a rich collection of misconceptions and naïve conceptions about electricity and magnetism which are consistently applied by students after instruction in introductory physics.

Module Analysis of The Brief Electricity and Magnetism Assessment

Modified Module Analysis using partial correlations (MMA-P) has proven to be a productive method for studying conceptual inventories. MMA-P can be used to analyze large datasets by forming networks of responses then using community detection algorithms to identify sets of responses that are consistently selected together. MMA-P can be extended by using multilayer network analysis. A multilayer network was constructed with pretest and post-test Force Concept Inventory (FCI) responses from five different institutions using samples ranging from N=10,000 to N=200. Each layer of the multiplex network was represented by a network made from the application of MMA-P to data from each institution. Within each layer, MMA-P finds communities of popular responses. Network comparison methods were then used to understand the similarities and differences between the sets of nodes and communities in the networks. This provides insight into the generality of previously identified properties of the FCI between institutions.

Mulitlayer Network Analysis of the Force Concept Inventory

Modified Module Analysis (MMA) has proven to be a productive method for studying physics conceptual inventories. MMA can be used to analyze large datasets by forming networks of item responses then using community detection algorithms to identify responses that are consistently selected together. MMA has been applied to many physics instruments, such as the Force Concept Inventory, identifying underlying misconceptions measured by the instrument and providing insight into the structure of those misconceptions. In this study, MMA was applied to over 8000 pretest and post-test responses to the Colorado Learning Attitudes about Science Survey (CLASS). The CLASS was separated into “expert-like” and “unexpert-like” responses, corresponding to the responses that were chosen by experts in physics. The communities present in the networks naturally separated into expert-like and unexpert-like communities. These communities were analyzed to determine coherent structure in the instrument and in students’ attitudes about science.

Network Analysis of the CLASS

Modified Module Analysis using partial correlations (MMA-P) has proven to be a productive method for studying conceptual inventories. MMA-P can be used to analyze large datasets by forming networks of responses then using community detection algorithms to identify sets of responses that are consistently selected together. MMA-P can be extended by using multilevel network analysis. A multilevel network was constructed with pretest and post-test Force Concept Inventory (FCI) responses from five different institutions using samples ranging from N=10,000 to N=200. Each layer of the multilevel network was represented by a network made from the application of MMA-P to data from each institution. Within each layer, MMA-P finds communities of popular responses. Network comparison methods were then used to understand the similarities and differences between the sets of nodes and communities in the networks. This provides insight into the generality of previously identified properties of the FCI between institutions.

Multilevel Module Analysis of the FCI

Network analytic techniques such as Modified Module Analysis (MMA) and Modified Module Analysis – Partial (MMA-P) are powerful new tools which can identify coherent patterns of student responses to physics conceptual instruments. MMA and MMAP are used to analyze large datasets by forming networks of responses then using community detection algorithms to identify sets of responses that are consistently selected together. These techniques were applied to 4000 student responses to the Force Concept Inventory (FCI) and the Force and Motion Conceptual Evaluation (FMCE) both prior to and post instruction. These studies identified a coherent set of non-Newtonian misconceptions in both the FCI and the FMCE. They also revealed communities of isomorphic items, issues with item-blocking, and items not functioning as intended within the instruments.

Network Analysis of the FCI and the FMCE

This research applied Modified Module Analysis (MMA) to over 5000 student responses to the Conceptual Survey of Electricity and Magnetism (CSEM). The CSEM was given at two major US land-grant universities in the introductory Electricity and Magnetism courses. MMA is a powerful tool for analyzing large datasets that uses the correlation matrix to form a network, community detection algorithms, and bootstrapping. Many studies have investigated student misconceptions in Newtonian physics by analyzing instruments such as the Force Concept Inventory or the Force and Motion Conceptual Evaluation. These studies showed that students hold non-Newtonian views on classical mechanics even post-instruction. However, much less research has investigated misconceptions in E&amp;amp;M. This study identifies communities of correct and incorrect answers to the CSEM to explore the structure of student misconceptions.

Network analysis of the CSEM with Modified Module Analysis

Poster Session

poster

PERC 2022 is focused on "queering physics education" through an intersectional lens. By "queering," we are centering queer theory which breaks down social constructions and hierarchies to unpack normalized assumptions. In the context of physics education, we want to apply the theory to unpack who has power in physics to control the production of future physicists, how physics policies and practices are sometimes built on ideas of punishment and power, and how PER embeds binaries in both its content and sociological research. Further, we want to encourage a dialogue that is both a critique and an imagining of a queer future for PER.

Explicit attention will be given to constructions of race, (dis)ability, gender, sexuality and how they interact and impact lived experiences.

We have had such a fun time organizing this year’s PERC. You might be aware that we were committed to transparency and documenting our processes and decision making which we outlined here. This year has also been challenging to be a queer or otherwise marginalized person in the US. And we continue to seek and provide support for those individuals.

As such, we recommend that folks visiting Grand Rapids who have the means consider giving to some local organizations who are working to advocate for those impacted by historic and ongoing marginalization and violence.


PERC SM 22

PERC 2022 focused on "queering physics education" through an intersectional lens. By "queering," we centered queer theory which breaks down social constructions and hierarchies to unpack normalized assumptions. In the context of physics education, we apply the theory to unpack who has power in physics to control the production of future physicists, how physics policies and practices are sometimes built on ideas of punishment and power, and how PER embeds binaries in both its content and sociological research. Further, we wanted to encourage a dialogue that is both a critique and an imagining of a queer future for PER. Explicit attention was given to constructions of race, (dis)ability, gender, sexuality and how they interact and impact lived experiences.

(EF) PER: Diverse Investigations I

technical paper

AAPT meetings are a great way to reflect on your teaching, recommit to best practices and re-energize your career with new research, products, and techniques. Listen to internationally known plenary speakers, attend sessions, workshops, and special activities. This meeting is an excellent opportunity to share your expertise and learn from and network with leaders in the field.



AAPT SM 22

AAPT meetings are a great way to reflect on your teaching, recommit to best practices and re-energize your career with new research, products, and techniques. Listen to internationally known plenary speakers, attend sessions, workshops, and special activities. This meeting is an excellent opportunity to share your expertise and learn from and network with leaders in the field.

Physics Education Research Posters I

B4.1.1 - PER: Diverse Investigations

This meeting is a great opportunity to explore sessions and workshops designed with your professional development in mind. Present your research and exchange ideas on the latest in teaching and pedagogy. Participate in a wide range of events, activities, plenaries, and so much more, connecting you with peers and colleagues who share your commitment to excellence in physics education.

AAPT WM 22

POS.F-MO - Physics Education Research

Join AAPT and Physics Educators worldwide in developing and strengthening your professional connections by attending the 2021 AAPT Virtual Summer Meeting. AAPT meetings are a great way to reflect on your teaching, recommit to best practices and re-energize your career with new research, products, and techniques.

Listen to internationally known plenary speakers, attend sessions, workshops, and special activities. Attending the virtual summer meeting is an excellent opportunity to share your expertise and learn from and network with leaders in the field.

Please log in with your AAPT account or register for the event if you haven't already.

If you are registered please note that you need to be logged in with your AAPT email / credentials in order to get access.

AAPT SM 21

PS.A-SA-07: PER: Diverse Investigations I

C2.1 Applying Network Analysis to Physics Education

AAPT® is a strong professional physics science society dedicated to the pursuit of excellence in physical science education.

Winter and Summer National Meetings:
These National Meetings, held each winter and summer, are opportunities for members, colleagues, and future physicists from around the world to:

- participate in physics workshops
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Christopher Wheatley

8

SHORT BIO

Presentations

Growth of West Virginia STEM Education Network

Network Analysis of the BEMA with Modified Module Analysis-Partial

Module Analysis of The Brief Electricity and Magnetism Assessment

Mulitlayer Network Analysis of the Force Concept Inventory

Network Analysis of the CLASS

Multilevel Module Analysis of the FCI

Network Analysis of the FCI and the FMCE

Network analysis of the CSEM with Modified Module Analysis

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