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Stela-Marina Kostaki; Michalis Linardakis – Education and Information Technologies, 2025
The current study explores the preferences of primary school teachers on the characteristics of Information and Communication Technologies (ICT)-based teaching via Discrete Choice Models (DCM). These models analyze the preferences of teachers towards alternatives that are formed by different characteristics. In this study we examined the…
Descriptors: Elementary School Teachers, Teacher Attitudes, Preferences, Teaching Methods
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Xing, Wanli; Lee, Hee-Sun; Shibani, Antonette – Educational Technology Research and Development, 2020
Constructing scientific arguments is an important practice for students because it helps them to make sense of data using scientific knowledge and within the conceptual and experimental boundaries of an investigation. In this study, we used a text mining method called Latent Dirichlet Allocation (LDA) to identify underlying patterns in students…
Descriptors: Persuasive Discourse, Science Instruction, Scientific Concepts, Logical Thinking
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Rodriguez, Jon-Marc G.; Stricker, Avery R.; Becker, Nicole M. – Chemistry Education Research and Practice, 2020
Explanations of phenomena in chemistry are grounded in discussions of particulate-level behavior, but there are limitations to focusing on single particles, or as an extension, viewing a group of particles as displaying uniform behavior. More sophisticated models of physical processes evoke considerations related to the dynamic nature of bulk…
Descriptors: Science Instruction, Chemistry, Undergraduate Students, College Science
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Kaur, Tejinder; Blair, David; Moschilla, John; Zadnik, Marjan – Physics Education, 2017
The Einstein-First project approaches the teaching of Einsteinian physics through the use of physical models and analogies. This paper presents an approach to the teaching of quantum physics which begins by emphasising the particle-nature of light through the use of toy projectiles to represent photons. This allows key concepts including the…
Descriptors: Science Instruction, Physics, Scientific Principles, Probability
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Mao, Ye; Lin, Chen; Chi, Min – Journal of Educational Data Mining, 2018
Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling, and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide range of tasks, such as language translation. In this work, we directly compared three models: BKT, its variant Intervention-BKT (IBKT), and LSTM, on two types of student modeling…
Descriptors: Prediction, Pretests Posttests, Bayesian Statistics, Short Term Memory
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Ismail, Yilmaz – International Journal of Educational Administration and Policy Studies, 2016
This study aims to develop a semiotic declarative knowledge model, which is a positive constructive behavior model that systematically facilitates understanding in order to ensure that learners think accurately and ask the right questions about a topic. The data used to develop the experimental model were obtained using four measurement tools…
Descriptors: Science Instruction, Semiotics, Grade 1, Elementary School Science
Huang, Yun; González-Brenes, José P.; Kumar, Rohit; Brusilovsky, Peter – International Educational Data Mining Society, 2015
Latent variable models, such as the popular Knowledge Tracing method, are often used to enable adaptive tutoring systems to personalize education. However, finding optimal model parameters is usually a difficult non-convex optimization problem when considering latent variable models. Prior work has reported that latent variable models obtained…
Descriptors: Guidelines, Models, Prediction, Evaluation Methods
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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
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Wagemans, Johan; Feldman, Jacob; Gepshtein, Sergei; Kimchi, Ruth; Pomerantz, James R.; van der Helm, Peter A.; van Leeuwen, Cees – Psychological Bulletin, 2012
Our first review article (Wagemans et al., 2012) on the occasion of the centennial anniversary of Gestalt psychology focused on perceptual grouping and figure-ground organization. It concluded that further progress requires a reconsideration of the conceptual and theoretical foundations of the Gestalt approach, which is provided here. In…
Descriptors: Brain, Stimulation, Psychology, Science Instruction
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Lian, Lim Hooi; Yew, Wun Thiam – International Education Studies, 2012
Algebraic solving ability had been discussed by many educators and researchers. There exists no definite definition for algebraic solving ability as it can be viewed from different perspectives. In this paper, the nature of algebraic solving ability in terms of algebraic processes that demonstrate the ability in solving algebraic problem is…
Descriptors: Algebra, Mathematics Skills, Problem Solving, Evaluation Methods
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Özcan, Özgür – Eurasian Journal of Educational Research, 2013
Problem Statement: Difficulties in the learning process usually emerge from the problem of mental representations constructed by students in their interactions with the world. This previous knowledge and these ideas are in contradiction with scientific facts, and are known as misconceptions or alternative ideas. Thus, an analysis of the mental…
Descriptors: Schemata (Cognition), Physics, Science Instruction, Preservice Teachers
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Boykin, Timothy B.; Luisier, Mathieu; Klimeck, Gerhard – European Journal of Physics, 2010
Discrete approaches have long been used in numerical modelling of physical systems in both research and teaching. Discrete versions of the Schrodinger equation employing either one or several basis functions per mesh point are often used by senior undergraduates and beginning graduate students in computational physics projects. In studying…
Descriptors: Graduate Students, Physics, Probability, Teaching Methods
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Park, Eun Jung; Light, Gregory – International Journal of Science Education, 2009
Atomic theory or the nature of matter is a principal concept in science and science education. This has, however, been complicated by the difficulty students have in learning the concept and the subsequent construction of many alternative models. To understand better the conceptual barriers to learning atomic structure, this study explores the…
Descriptors: Models, Nuclear Physics, Scientific Concepts, Probability
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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
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Ellison, Mark D. – Journal of Chemical Education, 2008
The one-dimensional particle-in-a-box model used to introduce quantum mechanics to students suffers from a tenuous connection to a real physical system. This article presents a two-dimensional model, the particle confined within a ring, that directly corresponds to observations of surface electrons in a metal trapped inside a circular barrier.…
Descriptors: Student Interests, Quantum Mechanics, Probability, Calculus
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