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Maria Bolsinova; Jesper Tijmstra; Leslie Rutkowski; David Rutkowski – Journal of Educational and Behavioral Statistics, 2024
Profile analysis is one of the main tools for studying whether differential item functioning can be related to specific features of test items. While relevant, profile analysis in its current form has two restrictions that limit its usefulness in practice: It assumes that all test items have equal discrimination parameters, and it does not test…
Descriptors: Test Items, Item Analysis, Generalizability Theory, Achievement Tests
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Lee, Insun; Park, Jongwon; Yoon, Hye-Gyong – Journal of Baltic Science Education, 2022
This research examined theory based teaching processes of science teachers to understand the mechanism by which theory and practice were connected. Four science teachers desgined lesson plans by applying the empirical-abductive learning cycle (EALC) model and modified lesson plans through a collaborative interview with the researcher. Data were…
Descriptors: Science Teachers, Teaching Methods, Educational Theories, Theory Practice Relationship
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Siripon Saenboonsong; Akarapon Poonsawad – Journal of Education and Learning, 2024
The aims of this study were to synthesize and evaluate the learning model in gamification environment together with cartoon animation media to promote students' creative problem-solving skills. This study was divided into three phases, (i) synthesized and evaluated the appropriateness of learning model (ii) developed cartoon animation and (iii)…
Descriptors: Problem Solving, Creative Thinking, Game Theory, Cartoons
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Javed Iqbal; Tanweer Ul Islam – Educational Research and Evaluation, 2024
Economic efficiency demands accurate assessment of individual ability for selection purposes. This study investigates Classical Test Theory (CTT) and Item Response Theory (IRT) for estimating true ability and ranking individuals. Two Monte Carlo simulations and real data analyses were conducted. Results suggest a slight advantage for IRT, but…
Descriptors: Item Response Theory, Monte Carlo Methods, Ability, Statistical Analysis
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Kilde Löfgren, Sebastian; Weidow, Jonathan; Enger, Jonas – Science Education, 2023
The creation and use of models in science is of great importance for knowledge production and communication. For example, toy models are often used as idealized explanatory models in physics education. Models can be a powerful tool for exploring phenomena in ways that facilitate learning. However, careful consideration of instruction and…
Descriptors: Physics, Science Instruction, Laboratory Experiments, Learning Processes
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Pham, Duy N.; Wells, Craig S.; Bauer, Malcolm I.; Wylie, E. Caroline; Monroe, Scott – Applied Measurement in Education, 2021
Assessments built on a theory of learning progressions are promising formative tools to support learning and teaching. The quality and usefulness of those assessments depend, in large part, on the validity of the theory-informed inferences about student learning made from the assessment results. In this study, we introduced an approach to address…
Descriptors: Formative Evaluation, Mathematics Instruction, Mathematics Achievement, Middle School Students
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Zhou Limin; Hu Chunguang; Huang Jie – Psychology in the Schools, 2024
Previous studies have suggested that bullying may be contagious in adolescents. The present study examined whether ego depletion mediated the association between peer bullying and participant bullying and whether the mediating process was moderated by participant trait self-control. A sample of 2217 Chinese high school students (16.92 ± 0.94…
Descriptors: Bullying, Adolescents, Models, High School Students
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Horst Bayrhuber; Volker Frederking – Journal of Curriculum Studies, 2024
Empirical research on teachers' professional knowledge is mostly conducted worldwide with reference to the construct 'pedagogical content knowledge' (PCK) introduced by Lee S. Shulman. In the 'Consensus Model' (CM) and the 'Refined Consensus Model' (RCM), PCK was further developed and differentiated. Nevertheless, neither PCK nor CM and RCM…
Descriptors: Pedagogical Content Knowledge, Heuristics, Models, Educational Theories
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Anneli Dyrvold; Ida Bergvall – Scandinavian Journal of Educational Research, 2024
This article explores how seven Swedish digital teaching platforms in mathematics make use of the affordances provided by various modalities and dynamic functions. A model based on social semiotics is used to analyse how dynamic functions are used, whether or not the language is technically oriented, if relational or operational processes are…
Descriptors: Foreign Countries, Mathematics Instruction, Teaching Methods, Learning Management Systems
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Zexuan Pan; Maria Cutumisu – AERA Online Paper Repository, 2023
Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Prediction
Laura Laclede – ProQuest LLC, 2023
Because non-cognitive constructs can influence student success in education beyond academic achievement, it is essential that they are reliably conceptualized and measured. Within this context, there are several gaps in the literature related to correctly interpreting the meaning of scale scores when a non-standard response option like I do not…
Descriptors: High School Students, Test Wiseness, Models, Test Items
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Carmen Köhler; Lale Khorramdel; Artur Pokropek; Johannes Hartig – Journal of Educational Measurement, 2024
For assessment scales applied to different groups (e.g., students from different states; patients in different countries), multigroup differential item functioning (MG-DIF) needs to be evaluated in order to ensure that respondents with the same trait level but from different groups have equal response probabilities on a particular item. The…
Descriptors: Measures (Individuals), Test Bias, Models, Item Response Theory
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Oliva, Jose M.; Blanco, Ángel – European Journal of Science and Mathematics Education, 2023
A questionnaire was recently developed for the use with the Spanish-speaking, and evidence have been provided about the construct internal validity by means of structural equation modelling. In this paper, two research questions were considered: (i) What new evidence does application of the Rasch model provide regarding the validity of this…
Descriptors: Spanish Speaking, High School Students, College Students, Item Response Theory
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Miranda, Ana Carolina Gomes; Pazinato, Maurícius Selvero – Problems of Education in the 21st Century, 2023
The focus of the present study is the learning processes of concepts related to hydrogen bonds, which were developed using a didactic sequence (DS). Based on the perspective of Imre Lakatos, it was observed whether the explanatory models created by upper-secondary students form progressive transition sequences, which are similar to what Lakatos,…
Descriptors: Secondary School Students, Theories, Evaluation, Models
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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