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Jordan M. Renna; Katelyn B. Sondereker; Christopher L. Cors; Sara N. Chaszeyka; Kristin N. Keenan; Michael R. Corigliano; Lindsey A. Milgrom; Jessica R. Onyak; Edward J. Hamad; Maureen E. Stabio – Anatomical Sciences Education, 2024
The reconstruction of two-dimensional (2D) slices to three-dimensional (3D) digital anatomical models requires technical skills and software that are becoming increasingly important to the modern anatomist, but these skills are rarely taught in undergraduate science classrooms. Furthermore, learning opportunities that allow students to…
Descriptors: Anatomy, Undergraduate Students, Science Instruction, Models
Jacqueline D. Woolley; Paola A. Baca; Kelsey A. Kelley – Journal of Cognition and Development, 2024
Superstitious behaviors persist across time, culture, and age. Although often considered irrational and even potentially harmful, superstitions have recently been shown to have positive effects on stress levels, confidence, and ultimately, performance. However, it remains unclear how people conceive of superstitious behaviors, specifically,…
Descriptors: Children, College Students, Beliefs, Theory of Mind
Jamie Jacob Brunsdon – European Physical Education Review, 2024
The concept of models-based practice has arguably provided the field of sport pedagogy with the means, lens, and tools with which to start to transform the discipline into a more desirable, equitable, and purposeful space. Despite this, there remains a need to experiment with this concept further in non-traditional ways and to continue to…
Descriptors: Physical Education, Ethical Instruction, Values Education, Models
Shane Pill; Brendan SueSee; Michael Davies – European Physical Education Review, 2024
This paper provides a rationale for The Spectrum of Teaching Styles (The Spectrum) as a pedagogical model in teaching physical education (PE). Building on prior discussions/debates (SueSee et al., 2021), we will contest the view that the concept of teaching styles is different from that of a pedagogical model. In doing so, we highlight the most…
Descriptors: Teaching Styles, Physical Education, Teaching Models, Pedagogical Content Knowledge
Dubravka Svetina Valdivia; Shenghai Dai – Journal of Experimental Education, 2024
Applications of polytomous IRT models in applied fields (e.g., health, education, psychology) are abound. However, little is known about the impact of the number of categories and sample size requirements for precise parameter recovery. In a simulation study, we investigated the impact of the number of response categories and required sample size…
Descriptors: Item Response Theory, Sample Size, Models, Classification
Irena Puji Luritawaty; Tatang Herman; Sufyani Prabawanto – Mathematics Teaching Research Journal, 2024
Critical thinking is a key transversal competency of the 21st century, but some students have difficulty, especially during the transition to online learning due to the COVID-19 pandemic. This study aims to identify epistemological obstacles in critical thinking related to proof, generalization, alternative answers, and problem-solving. This…
Descriptors: Critical Thinking, Electronic Learning, Epistemology, Mathematical Models
Austin M. Shin; Ayaan M. Kazerouni – ACM Transactions on Computing Education, 2024
Background and Context: Students' programming projects are often assessed on the basis of their tests as well as their implementations, most commonly using test adequacy criteria like branch coverage, or, in some cases, mutation analysis. As a result, students are implicitly encouraged to use these tools during their development process (i.e., so…
Descriptors: Feedback (Response), Programming, Student Projects, Computer Software
Sarah J. Hatteberg; Christy Kollath-Cattano – Journal of American College Health, 2024
Objective: Amidst the COVID-19 pandemic, colleges worked to minimize transmission through non-pharmaceutical interventions (NPIs). The objective of this study was to apply the Health Belief Model to assess correlates of US college students' early stage NPI uptake. Participants: Sample includes 1,223 students from a medium-sized university who…
Descriptors: College Students, Health Behavior, COVID-19, Pandemics
Christine E. Pacewicz; Christopher R. Hill; Haeyong Chun; Nicholas D. Myers – Measurement in Physical Education and Exercise Science, 2024
Confirmatory factor analysis (CFA) is a commonly used statistical technique. Recommendations for evaluating CFA highlight scholars should outline the expected model, conduct data screening, report model estimation and evaluation, and report key information about results to provide evidence for latent variables. The purpose of the current study was…
Descriptors: Factor Analysis, Physical Education, Exercise, Kinesiology
Mayara S. Bianchim; Melitta A. McNarry; Alan R. Barker; Craig A. Williams; Sarah Denford; Lena Thia; Rachel Evans; Kelly A. Mackintosh – Measurement in Physical Education and Exercise Science, 2024
This study aimed to develop and validate machine learning models to predict intensities in children and adolescents with cystic fibrosis (CF) across different accelerometry brands and placements. Thirty-five children and adolescents with CF (11.6 ± 2.8 yrs; 15 girls) and 28 healthy youth (12.2 ± 2.7 yrs; 16 girls) performed six activities whilst…
Descriptors: Models, Prediction, Children, Adolescents
Salma Banu Nazeer Khan; Ayse Aysin Bilgin; Deborah Richards; Paul Formosa – Teaching Statistics: An International Journal for Teachers, 2024
Infographics are visual storytelling techniques used to communicate complex information. However, infographics can be misleading if they are not created ethically. When universities teach how to create infographics, they often do so without emphasizing the ethical issues underlying infographics. To address this gap, we designed a study to educate…
Descriptors: Ethics, Visual Aids, Statistics Education, Design
Guohao He; Hongyi Lin; Aoxue Su – Metacognition and Learning, 2024
The relevance of metacognition and mathematical modeling competencies to the development of good mathematics achievement throughout schooling is well-documented. However, few studies have explored the longitudinal relationship among metacognition, mathematical modeling competencies, and mathematics achievement. More importantly, the existing…
Descriptors: Grade 7, Grade 8, Longitudinal Studies, Metacognition
Feifei Xi; Hongliang Ma; Zhongling Pi; Yuhan Dong; Junmei Sun; Rucheng Jin – Educational Technology Research and Development, 2024
Recently, integrated science, technology, engineering, and mathematics (STEM) education has gained sustained attention in K-12 settings, and engineering design-based pedagogy has become a key issue. Compared with rich research in higher education, relatively few studies are performed on engineering education in K-12 schools. In this study, we…
Descriptors: High School Students, STEM Education, Engineering, Models
Jenny Lawrence; Lesley J. Morrell; Graham W. Scott – International Journal for Academic Development, 2024
The programme leader is crucial to the success of a higher education provider's educational portfolio. However, programme leader development is under-researched and is too often conceptualised in a negative way, as the solution to a problem. Here we adopt a positive approach by undertaking an Appreciative Inquiry with programme leaders to…
Descriptors: Competency Based Education, Higher Education, Instructional Leadership, Knowledge Management
Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study simplifies the seven different cross-lagged panel models (CLPMs) by using the RSEM model for both inter-individual and intra-individual structures. In addition, the study incorporates the newly developed dynamic panel model (DPM), general cross-lagged model (GCLM) and the random intercept auto-regressive moving average (RI-ARMA) model.…
Descriptors: Evaluation Methods, Structural Equation Models, Maximum Likelihood Statistics, Longitudinal Studies