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Odden, Tor Ole B.; Marin, Alessandro; Caballero, Marcos D. – Physical Review Physics Education Research, 2020
We have used an unsupervised machine learning method called latent Dirichlet allocation (LDA) to thematically analyze all papers published in the Physics Education Research Conference Proceedings between 2001 and 2018. By looking at co-occurrences of words across the data corpus, this technique has allowed us to identify ten distinct themes or…
Descriptors: Physics, Science Education, Educational Research, Conferences (Gatherings)
Schenk, Linda; Hamza, Karim M.; Enghag, Margareta; Lundegård, Iann; Arvanitis, Leena; Haglund, Karin; Wojcik, Andrzej – International Journal of Science Education, 2019
The present paper takes its point of departure in risk being a relevant content for science education, and that there are many different approaches to how to incorporate it. By reviewing the academic literature on the use and definitions of risk from fields such as engineering, linguistics and philosophy, we identified key elements of the risk…
Descriptors: Science Education, Definitions, Probability, Models
Stamovlasis, Dimitrios – Complicity: An International Journal of Complexity and Education, 2017
This paper discusses investigations in science education addressing the nonlinear dynamical hypothesis. Learning science is a suitable field for applying interdisciplinary research and predominately for testing psychological theories. It was demonstrated that in this area the paradigm of complexity and nonlinear dynamics have offered theoretical…
Descriptors: Science Education, Educational Research, Research Methodology, Predictor Variables
Talanquer, Vicente – International Journal of Science Education, 2018
One of the central goals of modern science and chemistry education is to develop students' abilities to understand complex phenomena, and productively engage in explanation, justification, and argumentation. To accomplish this goal, we should better characterise the types of reasoning that we expect students to master in the different scientific…
Descriptors: Science Education, Chemistry, Science Process Skills, Abstract Reasoning
Halpin, Peter F.; von Davier, Alina A.; Hao, Jiangang; Liu, Lei – Journal of Educational Measurement, 2017
This article addresses performance assessments that involve collaboration among students. We apply the Hawkes process to infer whether the actions of one student are associated with increased probability of further actions by his/her partner(s) in the near future. This leads to an intuitive notion of engagement among collaborators, and we consider…
Descriptors: Performance Based Assessment, Student Evaluation, Cooperative Learning, Inferences
Herrmann Abell, Cari F.; DeBoer, George E. – Grantee Submission, 2015
Energy plays a central role in our society, so it is essential that all citizens understand what energy is and how it moves and changes form. However, research has shown that students of all ages have difficulty understanding these abstract concepts. This paper presents a summary of elementary, middle, and high school students' understanding of…
Descriptors: Energy, Science Education, Elementary School Students, Middle School Students
Mazilu, D. A.; Zamora, G.; Mazilu, I. – European Journal of Physics, 2012
We present two simple, one-dimensional, stochastic models that lead to a qualitative understanding of very complex systems from biology, nanoscience and social sciences. The first model explains the complicated dynamics of microtubules, stochastic cellular highways. Using the theory of random walks in one dimension, we find analytical expressions…
Descriptors: Social Sciences, Models, Biology, Intervals
Hsu, Anne S.; Chater, Nick; Vitanyi, Paul M. B. – Cognition, 2011
There is much debate over the degree to which language learning is governed by innate language-specific biases, or acquired through cognition-general principles. Here we examine the probabilistic language acquisition hypothesis on three levels: We outline a novel theoretical result showing that it is possible to learn the exact "generative model"…
Descriptors: Linguistics, Prediction, Natural Language Processing, Language Acquisition
Wallace, Colin S.; Prather, Edward E.; Duncan, Douglas K. – Astronomy Education Review, 2012
This is the third of five papers detailing our national study of general education astronomy students' conceptual and reasoning difficulties with cosmology. In this paper, we use item response theory to analyze students' responses to three out of the four conceptual cosmology surveys we developed. The specific item response theory model we use is…
Descriptors: General Education, Astronomy, Probability, Item Response Theory
Misak, Paul; Cleaveland, J. Mark – Journal of the Experimental Analysis of Behavior, 2011
In this article, we describe a test of the active time model for concurrent variable interval (VI) choice. The active time model (ATM) suggests that the time since the most recent response is one of the variables controlling choice in concurrent VI VI schedules of reinforcement. In our experiment, pigeons were trained in a multiple concurrent…
Descriptors: Models, Behavioral Science Research, Feedback (Response), Experiments
Anand, Vibha – ProQuest LLC, 2010
Biomedical research has produced vast amounts of new information in the last decade but has been slow to find its use in clinical applications. Data from disparate sources such as genetic studies and summary data from published literature have been amassed, but there is a significant gap, primarily due to a lack of normative methods, in combining…
Descriptors: Diseases, Genetics, Biomedicine, Organizations (Groups)
Levinson, Ralph; Kent, Phillip; Pratt, David; Kapadia, Ramesh; Yogui, Cristina – Journal of Biological Education, 2011
The aim of this research is to develop principles for a pedagogy of risk in socio-scientific issues. Risk is challenging to teach because of its contested conceptual basis incorporating epistemic and non-epistemic values, its situated nature and its mathematical basis in probability and statistics. In our project--"Promoting Teachers'…
Descriptors: Feedback (Response), Risk, Computer Software, Science Teachers
Chow, Angela; Salmela-Aro, Katariina – International Journal of Behavioral Development, 2011
This study examined what kinds of groups can be identified according to students' task-values across four subject domains (languages, math and science, social sciences, practical subjects) and the related gender differences using a person-centered approach. Latent class analysis was applied to classify 638 students (mean age = 15) into four…
Descriptors: Females, Compulsory Education, Social Sciences, Gender Differences
Crutchfield, James P.; And Others – Scientific American, 1986
Discusses how the discovery of chaos has created a new paradigm in scientific modeling and how findings are contributing to changes in thought about many different branches of science. Includes explanations and examples of how chaotic behavior can be understood. (ML)
Descriptors: Chaos Theory, Models, Motion, Physics

Physics Teacher, 1979
Tries to explain the attraction between unlike charged particles using electromagnetic interaction as described by the quantum field theory. (GA)
Descriptors: Atomic Theory, Electricity, Force, Higher Education
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