Networks and Learning: A View from Physics

Traxler, Adrienne L.

doi:10.18608/jla.2022.7669

Cited by 10 publications

(6 citation statements)

References 57 publications

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“…For the nodal variables, we focused on degree (the number of adjacent edges connected to a node), rather than other measures of centrality (such as closeness and betweenness). Degree is simple to interpret and prior research has shown that degree both sufficiently captures network structure and is useful in predicting students' learning outcomes [46,47]. Our final model, which we applied using the 'ergm' package in the statistical software R [45] and the input variables listed in parentheses below, included the following predictor variables:…”

Section: Discussionmentioning

confidence: 99%

What topics of peer interactions correlate with student performance in physics courses?

Simpfendoerfer,

Sundstrom,

Dew

et al. 2024

Eur. J. Phys.

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Research suggests that interacting with more peers about physics course material is correlated with higher student performance. Some studies, however, have demonstrated that different topics of peer interactions may correlate with their performance in different ways, or possibly not at all. In this study, we probe both the peers with whom students interact about their physics course and the particular aspects of the course material about which they interacted in six different introductory physics courses: four lecture courses and two lab courses. Drawing on methods in social network analysis, we replicate prior work demonstrating that, on average, students who interact with more peers in their physics courses have higher final course grades. Expanding on this result, we find that students discuss a wide range of aspects of course material with their peers: concepts, small-group work, assessments, lecture, and homework. We observe that in the lecture courses, interacting with peers about concepts is most strongly correlated with final course grade, with smaller correlations also arising for small-group work and homework. In the lab courses, on the other hand, small-group work is the only interaction topic that significantly correlates with final course grade. We use these findings to discuss how course structures (e.g., grading schemes and weekly course schedules) may shape student interactions and add nuance to prior work by identifying how specific types of student interactions are associated (or not) with performance.

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Section: Discussionmentioning

confidence: 99%

What topics of peer interactions correlate with student performance in physics courses?

Simpfendoerfer,

Sundstrom,

Dew

et al. 2024

Eur. J. Phys.

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show abstract

“…La présente recherche met en évidence la nature interdisciplinaire des sciences physiques en impliquant d'autre composante tels que les mathématiques, l'environnement, la sociologie et l'informatique [12]. Alors, l'engagement des apprenants dans les sciences, y compris les sciences physiques, est influencé par leur compréhension de la matière et leurs expériences informelles [13].…”

Section: Discussionunclassified

L’éducation environnementale et les enjeux scientifiques de l’apprentissage des sciences physiques : recherche sur l’évolution de l’intérêt des apprenants

El Azzouzi,

Elachqar,

Kaddar

2023

SHS Web Conf.

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Dans ce travail, nous étudions la place et l’importance de l’éducation environnementale (EE) dans l’enseignement secondaire marocain en mettant l’accent sur l’apprentissage des sciences physiques. Cette étude est réalisée dans le cadre d’une approche interdisciplinaire pour la mise en oeuvre de la relation entre l’intérêt des apprenants, les sciences physiques, l’EE et les mathématiques. L’objectif principal de cette recherche est d’étudier l’évolution de l’intérêt des apprenants pour les sciences physiques en examinant le rôle de l’EE et les mathématiques en tant que contextes scientifiques importants dans l’apprentissage de la discipline. Pour atteindre cet objectif, nous avons mené une étude empirique auprès des apprenants de la région de Fès-Meknès, Maroc. Les résultats ont montré que l’exploration de l’EE et la mathématisation des sciences physiques peut développer un intérêt non seulement pour la discipline mais aussi pour le domaine scientifique en général ainsi qu’un apprenant porte plus d’un intérêt aux sciences physiques, plus cela influencerait favorablement sa compréhension pour la discipline. L’étude a révélé aussi que le degré de préférence et le degré de facilité des sciences physiques en particulier dans la modélisation mathématique des systèmes environnementaux donnent aux apprenants une motivation pour apprendre la discipline et partant des carrières scientifiques dans leur ultérieure vie.

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“…During the training, network modeling is also applied. Interdisciplinary dependencies are established between results and analyses in the natural sciences (Ignatov, 1989;Traxler, 2022). Iliev takes part in educational project BG051PO001-3.3.07-0001 "SCHOOL PRACTICE with the financial support of the Operational Program "Development of Human Resources," financed by the European Social Fund of the European Union, a project of the Ministry of Education and Science -Bulgaria.…”

Section: Educational Practices and Specializationsmentioning

confidence: 99%

Education of Students on Physics and Chemistry with Effects of Water Filtration. Modeling of Water Clusters and Hexagonal Structures

2023

European Journal of Contemporary Education

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In the modern world, water filtration is performed to improve its quality. The most commonly used minerals are zeolite and shungite, as well as filters with nano-sized pores. Due to processes in boundary environments, the resulting waters before and after filtration possess specific properties. Studies after filtration show the structuring of clusters of water molecules. The most stable clusters comprise of two, four, and six water molecules. Hexagonal structures with six water molecules form the basis for the symmetry in the formation of snowflakes. Oleg Mosin at Moscow State University of Applied Biotechnology conducted research on the modeling of water clusters before and after filtration. Since 2020, the author's team has been studying structuring water clusters using patented Swiss systems called EVOdrop. A program for training students by Mario Iliev is being developed. The students participate in experiments involving the research of Non-equilibrium energy spectrum (NES), Differential non-equilibrium energy spectrum (DNES), pH, oxidation-reduction potential (ORP), and Nuclear Magnetic Resonance (NMR). The knowledge acquired after training is applicable in medical biophysics and nanotechnologies. The effects of water restructuring and changes in its physicochemical parameters are analyzed in applied medicine.

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Networks and Learning: A View from Physics

Cited by 10 publications

References 57 publications

What topics of peer interactions correlate with student performance in physics courses?

What topics of peer interactions correlate with student performance in physics courses?

L’éducation environnementale et les enjeux scientifiques de l’apprentissage des sciences physiques : recherche sur l’évolution de l’intérêt des apprenants

Education of Students on Physics and Chemistry with Effects of Water Filtration. Modeling of Water Clusters and Hexagonal Structures

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