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Jon Wai; Joni M. Lakin – Grantee Submission, 2024
Students' talent and potential cannot be served until they are recognized by schools or caregivers. While the field of gifted education has had success in identifying talent among many students with talents in reading and mathematics, those with spatial talents are often overlooked. This article reviews how we might identify spatial talent using…
Descriptors: Spatial Ability, Identification, Talent, Student Evaluation
Jonathan Wai; Joni M. Lakin – Gifted Child Today, 2024
Students' talent and potential cannot be served until they are recognized by schools or caregivers. While the field of gifted education has had success in identifying many students with talents in reading and mathematics, those with spatial talents are often overlooked. This article reviews how we might identify spatial talent using traditional…
Descriptors: Spatial Ability, Identification, Talent, Student Evaluation
Guido Schwarzer; Gerta Rücker; Cristina Semaca – Research Synthesis Methods, 2024
The "LFK" index has been promoted as an improved method to detect bias in meta-analysis. Putatively, its performance does not depend on the number of studies in the meta-analysis. We conducted a simulation study, comparing the "LFK" index test to three standard tests for funnel plot asymmetry in settings with smaller or larger…
Descriptors: Bias, Meta Analysis, Simulation, Evaluation Methods
Hasan Mahbub Tusher; Steven Mallam; Salman Nazir – Technology, Knowledge and Learning, 2024
The evolving complexity of Virtual Reality (VR) technologies necessitates an in-depth investigation of the VR features and their specific utility. Although VR is utilized across various skill-training applications, its successful deployment depends on both technical maturity and context-specific suitability. A comprehensive understanding of…
Descriptors: Computer Simulation, Skill Development, Professional Training, Outcomes of Education
Bao Wang; Philippe J. Giabbanelli – International Journal of Artificial Intelligence in Education, 2024
Knowledge maps have been widely used in knowledge elicitation and representation to evaluate and guide students' learning. To effectively evaluate maps, instructors must select the most informative map features that capture students' knowledge constructs. However, there is currently no clear and consistent criteria to select such features, as…
Descriptors: Concept Mapping, Evaluation Methods, Student Evaluation, Algorithms
Tamara K. Lawson; Jerica Knox; Emily Romero; Andrea Molina Palacios; Lindsay M. Fallon – Psychology in the Schools, 2024
Culturally responsive teaching (CRT) was introduced over 30 years ago and remains an educational framework used to guide instruction today. Although research has evidenced its utility and positive impact, little is known about available tools to guide practitioners in assessing and monitoring their implementation of CRT practices. This systematic…
Descriptors: Culturally Relevant Education, Evaluation Methods, Instructional Effectiveness, Teacher Effectiveness
Ebru Balta; Celal Deha Dogan – SAGE Open, 2024
As computer-based testing becomes more prevalent, the attention paid to response time (RT) in assessment practice and psychometric research correspondingly increases. This study explores the rate of Type I error in detecting preknowledge cheating behaviors, the power of the Kullback-Leibler (KL) divergence measure, and the L person fit statistic…
Descriptors: Cheating, Accuracy, Reaction Time, Computer Assisted Testing
Tony Ross-Hellauer; Noémie Aubert Bonn; Serge P. J. M. Horbach – Research Evaluation, 2024
Debates about appropriate, fair and effective ways of assessing research and researchers have raged through the scientific community for decades, recently mostly concerned with discussing the merits and limitations of metric-based, quantitative assessments versus peer review-based, qualitative alternatives. Ample attention has been paid to formal…
Descriptors: Evaluation Research, Evaluation Methods, Research Universities, Evaluation Criteria
Bo Zhang; Jing Luo; Susu Zhang; Tianjun Sun; Don C. Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings questionable. Therefore, the present study took the first step to examine the statistical properties…
Descriptors: Correlation, Predictor Variables, Monte Carlo Methods, Statistical Bias
Susan McKenney; Jan van den Akker; Ryan Wakamiya; Andreas Beer; Yvonne Zijlstra; Edlyn Chao – Curriculum Matters, 2024
Curriculum development is critically important to the educational enterprise, yet we lack insight into if and how ideal design and development practices are enacted in organizations that create curricular programs and resources intended for large-scale implementation. This study identified essential elements of curriculum development practices…
Descriptors: Curriculum Design, Curriculum Development, Evaluation Methods, Educational Practices
Kai Zhang; Jingying Chen; Zongkai Yang – British Journal of Educational Technology, 2024
This study explored the influence of the dynamic assessment of human--computer interactive games on children's language potential. Thirty-seven special children aged 3--7 years were selected to participate in the study. They were divided into three groups according to their scores on the Autism Behaviour Checklist: (1) a non-autism group, (2) a…
Descriptors: Language Skills, Autism Spectrum Disorders, Children, Interaction
Jihong Zhang; Jonathan Templin; Xinya Liang – Journal of Educational Measurement, 2024
Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…
Descriptors: Bayesian Statistics, Cognitive Measurement, Models, Classification
Tovey, Tiffany L. S.; Skolits, Gary J. – American Journal of Evaluation, 2022
The purpose of this study was to determine professional evaluators' perceptions of reflective practice (RP) and the extent and manner in which they engage in RP behaviors. Nineteen evaluators with 10 or more years of experience in the evaluation field were interviewed to explore our understanding and practice of RP in evaluation. Findings suggest…
Descriptors: Evaluators, Evaluation Methods, Reflection, Attitudes
Pineda-Alhucema, Wilmar; Jiménez-Figueroa, Giomar – Infant and Child Development, 2022
Social cognition is a very important group of neurocognitive processes involved especially in social functioning; currently, the amount of research on this topic is increasing and suggests some considerations about its assessment, particularly in the child population. This article presents some of these considerations focussed on the theoretical…
Descriptors: Social Cognition, Children, Evaluation Methods, Evaluation
Emmerink, Ralph – FORUM: for promoting 3-19 comprehensive education, 2022
As an educator, and a student myself, I believe that the current system of graded assessments used ubiquitously in education systems worldwide is quite flawed. Although certain issues arise in its implementation, a suitable alternative might be to consider gradeless assessments. Thus, rather than completely advocating for a change in the way…
Descriptors: Feedback (Response), Student Evaluation, Evaluation Methods