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Saritas, Davut; Özcan, Hasan; Adúriz-Bravo, Agustín – Science & Education, 2021
The aim of this article is to propose a didactical approach to establish appropriate relations between different kinds of chemical knowledge and explanations at the macro and the submicro level. Incorrectly moving between these two levels is regarded as the cause of many misconceptions in school chemistry, and several theoretical frameworks have…
Descriptors: Chemistry, Science Instruction, Misconceptions, Philosophy
Winne, Philip H. – International Journal of Artificial Intelligence in Education, 2021
Learner modeling systems so far formulated model learning in three main ways: a learner's "position" within a lattice of declarative and procedural knowledge about highly structured disciplines such as geometry or physics, a learner's path through curricular tasks compared to milestones, or profiles of a learner's achievements on a set…
Descriptors: Models, Student Characteristics, Access to Information, Learning Processes
Berg, Arthur – Teaching Statistics: An International Journal for Teachers, 2021
The topic of Bayesian updating is explored using standard and non-standard dice as an intuitive and motivating model. Details of calculating posterior probabilities for a discrete distribution are provided, offering a different view to P-values. This article also includes the stars and bars counting technique, a powerful method of counting that is…
Descriptors: Bayesian Statistics, Teaching Methods, Statistics Education, Intuition
Bloome, Deirdre; Schrage, Daniel – Sociological Methods & Research, 2021
Causal analyses typically focus on average treatment effects. Yet for substantive research on topics like inequality, interest extends to treatments' distributional consequences. When individuals differ in their responses to treatment, three types of inequality may result. Treatment may shape inequalities between subgroups defined by pretreatment…
Descriptors: Regression (Statistics), Outcomes of Treatment, Statistical Analysis, Correlation
Compton, Donald L. – Learning Disability Quarterly, 2021
Multifactorial models of dyslexia have expanded how we consider heterogeneity within the population of children with dyslexia. These models are predicated on the idea that cognitive/linguistic risk factors are not deterministic but instead probabilistic, with the likelihood of difficulties involving an interaction between risk and protective…
Descriptors: Dyslexia, Etiology, Disability Identification, Intervention
Tomek, Sara; Robinson, Cecil – Measurement: Interdisciplinary Research and Perspectives, 2021
Typical longitudinal growth models assume constant functional growth over time. However, there are often conditions where trajectories may not be constant over time. For example, trajectories of psychological behaviors may vary based on a participant's age, or conversely, participants may experience an intervention that causes trajectories to…
Descriptors: Growth Models, Statistical Analysis, Hierarchical Linear Modeling, Computation
Prince, Michael J. – Evidence & Policy: A Journal of Research, Debate and Practice, 2021
Background: While governments draw on survey data to inform policy choices, the design, application, and interpretation of surveys can generate certain images of disability and ignore many others. Aims and objectives: This article draws attention to social circumstances of people with disabilities often unacknowledged in research evidence: hidden…
Descriptors: Disabilities, Foreign Countries, Public Policy, Adolescents
Aybek, Eren Can – Journal of Applied Testing Technology, 2021
The study aims to introduce catIRT tools which facilitates researchers' Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) simulations. catIRT tools provides an interface for mirt and catR packages through the shiny package in R. Through this interface, researchers can apply IRT calibration and CAT simulations although they do not…
Descriptors: Item Response Theory, Computer Assisted Testing, Simulation, Models
Hoi, Vo Ngoc; Le Hang, Ho – Journal of Computer Assisted Learning, 2021
Enhancing student engagement plays a critical role in reducing student drop-out rate in online learning as students usually feel isolated and disconnected in this learning environment. This requires a clear conceptualization of the student engagement construct and its underlying structure. However, the conceptual understanding of the student…
Descriptors: Learner Engagement, Electronic Learning, Structural Equation Models, Factor Analysis
Davis, Dennis S.; Jones, Jill S.; Samuelson, Courtney – Reading & Writing Quarterly, 2021
Recent media reports suggest that teachers and teacher educators are using the three-cueing system model to justify an overemphasis on context to help students read unfamiliar words. In this conceptual article, the authors argue that although these critiques are exaggerated, the current climate provides an opportunity for teacher educators to…
Descriptors: Prompting, Word Recognition, Teacher Education, Reading Instruction
Kingston, Beverly; Smokowski, Paul R.; MacFarland, Andrew; Evans, Caroline B. R.; Pampel, Fred; Mercado, Melissa C.; Vagi, Kevin J.; Spies, Erica L. – Youth & Society, 2021
Although research advocates for comprehensive cross-sector youth violence prevention efforts, mobilizing across sectors to translate scientific recommendations into practice has proven challenging. A unifying framework may provide a foundational step toward building a shared understanding of the risk and protective factors that impact youth…
Descriptors: Violence, Prevention, Adolescents, Aggression
Baird, Matthew; Engberg, John – Education Economics, 2021
The number of years to estimate value-added measures (VAM) has received insufficient attention. Researchers often use as many years as available, to increase precision and decrease transitory sorting bias. However, this decision has little theoretical or empirical backing. We develop a theoretical framework and evaluate data from thousands of…
Descriptors: Value Added Models, Teacher Effectiveness, Computation, Teacher Evaluation
Butterfuss, Reese; Kendeou, Panayiota – Educational Psychology Review, 2021
The aim of this paper is two-fold. The first aim is to review the core representational and processing aspects of influential accounts of single-document and multiple-document comprehension with a particular emphasis on how readers negotiate conflicting information during reading. This review provides the groundwork for the second aim--to expand…
Descriptors: Reading Comprehension, Cognitive Processes, Conflict, Misconceptions
Green, Patrick M.; Bergen, Daniel J.; Stewart, Cynthia P.; Nayve, Christopher – Metropolitan Universities, 2021
Building upon the proposed concept of an engagement of hope (Green, Stewart, Bergen, & Nayve, 2020) emerging from the exploration of faith-based approaches to community engagement, the authors delve into collaborative inquiry and critical reflection to construct a framework and equity-centered theory of action for community engagement. Drawing…
Descriptors: Community Involvement, Cooperation, Inquiry, School Community Relationship
Brecha, Robert J. – Physics Education, 2021
Simple energy balance models of planetary systems are of fundamental importance to understanding equilibrium temperatures. Most textbooks that discuss energy balance take a further step and include the effects of an atmosphere on the surface temperature. It is noticeable, however, that in such discussions of planetary surface energy balance some…
Descriptors: Earth Science, Models, Science Instruction, Energy

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