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Robert J. Sternberg; María Isabel Rodríguez-Fernández – Gifted Education International, 2024
"Humanitarian giftedness" is the deployment of one's gifts and talents in a way that, at some level, benefits humanity. Humanitarian giftedness involves sharing one's gifts with others in a way that makes the world a better place. It is not something people are born with--they develop it in the same way other forms of expertise are…
Descriptors: Academically Gifted, Social Values, Role Models, Social Environment
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Alexia Micallef; Philip M. Newton – Teaching of Psychology, 2024
Background: Prior research suggests that the teaching of abstract concepts can be enhanced by the use of concrete examples, but there are few controlled studies. Objective: To replicate key findings from experiment one from Rawson et al. (2015). Method: Experiment participants studied definitions of abstract concepts from psychology, either with…
Descriptors: Teaching Methods, Instructional Effectiveness, Psychology, Concept Formation
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Bephyer Parey; Elisabeth Kutscher – Journal of Mixed Methods Research, 2024
Rigor evaluation in mixed methods research is a growing need. Linking rigor to Hong and Pluye's (2019) concepts of methodological and reporting quality, the purpose of this article is to operationalize and expand Harrison et al.'s (2020) Rigorous Mixed Methods Framework. Drawing from a systematic methodological review of 66 inclusive education…
Descriptors: Mixed Methods Research, Difficulty Level, Evaluation Methods, Research Design
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James Soland – Journal of Research on Educational Effectiveness, 2024
When randomized control trials are not possible, quasi-experimental methods often represent the gold standard. One quasi-experimental method is difference-in-difference (DiD), which compares changes in outcomes before and after treatment across groups to estimate a causal effect. DiD researchers often use fairly exhaustive robustness checks to…
Descriptors: Item Response Theory, Testing, Test Validity, Intervention
Zixuan Ke – ProQuest LLC, 2024
The essence of human intelligence lies in its ability to learn continuously, accumulating past knowledge to aid in future learning and problem-solving endeavors. In contrast, the current machine learning paradigm often operates in isolation, lacking the capacity for continual learning and adaptation. This deficiency becomes apparent in the face of…
Descriptors: Computational Linguistics, Computer Software, Barriers, Artificial Intelligence
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Kenneth Elpus; David S. Miller – Journal of Research in Music Education, 2024
The purpose of this study was to investigate the potential relationship between student enrollment trends in elective secondary music ensembles and music ensemble teacher job turnover. Although student enrollment is widely accepted as an important concern for music educators and a crude proxy measure of music teacher quality, these normative…
Descriptors: Music Education, Music Teachers, High School Students, High School Teachers
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Alem Amsalu; Sintayehu Belay – SAGE Open, 2024
The main goal of the current paper was to determine the effects of perceived school climate dimensions (leadership, relationships, professional learning-teaching climate, safety, and physical environment) on students' learning performance in upper primary schools. Correlational design consisted of structural equation modeling with mediation…
Descriptors: Educational Environment, Academic Achievement, Structural Equation Models, Elementary School Students
Mariel Anne Farrar Werner – ProQuest LLC, 2024
When multiple clients are collaboratively learning and training a shared model, incentives problems can arise. The clients may have different learning objectives and application domains, or they may be competitors whose participation in the learning system could reduce their competitive advantage. While collaborative learning is a powerful…
Descriptors: Cooperative Learning, Alignment (Education), Educational Objectives, Incentives
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Mauricio Garnier-Villarreal; Terrence D. Jorgensen – Grantee Submission, 2024
Model evaluation is a crucial step in SEM, consisting of two broad areas: global and local fit, where local fit indices are use to modify the original model. In the modification process, the modification index (MI) and the standardized expected parameter change (SEPC) are used to select the parameters that can be added to improve the fit. The…
Descriptors: Bayesian Statistics, Structural Equation Models, Goodness of Fit, Indexes
Peter Arcidiacono; Karthik Muralidharan; John D. Singleton – National Bureau of Economic Research, 2024
We leverage a unique two-stage experiment that randomized access to private school vouchers across markets as well as students to estimate the revealed preference value of school choice. To do this, we estimate several choice models on data only from control markets before turning to the treatment data for model validation. This exercise reveals…
Descriptors: Private Schools, Educational Vouchers, School Choice, Preferences
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Garret J. Hall; Sophia Putzeys; Thomas R. Kratochwill; Joel R. Levin – Educational Psychology Review, 2024
Single-case experimental designs (SCEDs) have a long history in clinical and educational disciplines. One underdeveloped area in advancing SCED design and analysis is understanding the process of how internal validity threats and operational concerns are avoided or mitigated. Two strategies to ameliorate such issues in SCED involve replication and…
Descriptors: Research Design, Graphs, Case Studies, Validity
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Chatree Faikhamta; Samia Khan; Tharuesean Prasoplarb; Anupong Praisri; Naphat Suknarusaithagul – Research in Science Education, 2024
Models and modelling play a critical role in science education to engage students more fully in science practices. Few studies have investigated the nature of models and modelling in integrated STEM teacher education. This study examines pre-service science teachers' (PSTs) understanding of the nature of models and modelling in a STEM methods…
Descriptors: Preservice Teachers, STEM Education, Models, Knowledge Base for Teaching
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Bhibha M. Das; Katrina D. DuBose; Sue-L Cohen – Journal of American College Health, 2024
One strategy to encourage college students to meet physical activity and public health guidelines is the Exercise is Medicine on Campus Initiative (EIM-OC), whose goal is to promote physical activity as a vital health sign within universities. To develop, implement, and evaluate the EIM-OC Initiative, it is critical to understand the mechanics of…
Descriptors: Exercise, Physical Activity Level, Health Promotion, Logical Thinking
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Teague R. Henry; Zachary F. Fisher; Kenneth A. Bollen – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, noniterative estimator for latent variable models. Associated with this estimator are equation-specific tests of model misspecification. One issue with equation-specific tests is that they lack specificity, in that they indicate…
Descriptors: Bayesian Statistics, Least Squares Statistics, Structural Equation Models, Equations (Mathematics)
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Dave Hewitt – For the Learning of Mathematics, 2024
The author has been influenced throughout his time in mathematics education by the work of Caleb Gattegno. Gattegno made extensive use of the word awareness whereas much educational literature from a psychological perspective talks about memory (for example, Justicia-Galiano, MartÌn-Puga, Linares & Pelegrina, 2017). This has, amongst other…
Descriptors: Mathematics Instruction, Teaching Methods, Memory, Mathematics Education
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