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Pattamaporn Piriyapongpipat; Sally Goldin; Nadh Ditcharoen – Smart Learning Environments, 2024
Global trends in higher education emphasize the development of curricula that offer greater responsiveness to learners. Creating flexible and responsive curricula will require additional support systems for curriculum management. The first step toward sustainably developing this kind of system is to represent essential curricular information in a…
Descriptors: Curriculum Development, Taxonomy, Higher Education, Models
Meral Seker – International Journal of Assessment Tools in Education, 2023
Despite the unanimous agreement regarding the positive outcomes of learner engagement, theorists and researchers draw attention to the disparate conceptualizations and structural models of "engagement" construct. The present study, in this respect, attempts to contribute to the development of a theoretical framework by suggesting a…
Descriptors: Learner Engagement, Theories, Models, Higher Education
Beauducel, André; Hilger, Norbert – Educational and Psychological Measurement, 2022
In the context of Bayesian factor analysis, it is possible to compute plausible values, which might be used as covariates or predictors or to provide individual scores for the Bayesian latent variables. Previous simulation studies ascertained the validity of mean plausible values by the mean squared difference of the mean plausible values and the…
Descriptors: Bayesian Statistics, Factor Analysis, Prediction, Simulation
James Marshall; Douglas Fisher; Nancy Frey – Journal of School Administration Research and Development, 2025
The term "rigor" in education often evokes resistance due to its inconsistent definitions and widespread misconceptions. This study introduces and validates the RIGOR Walk framework, a research- and practitioner-informed tool designed to define, observe, and enhance rigorous learning environments across classrooms. The framework is…
Descriptors: Models, Educational Environment, Interpersonal Relationship, Instruction
Sidney Newton; Rui Wang – Educational Studies, 2024
Notwithstanding the neuromyth controversy, the malleability of learning style preferences impacts the validity of the measurement instrument and the effectiveness of the associated model of learning. This study investigates the test-retest reliability and underlying dynamics of Kolb's Learning Style Inventory (KLSI). It surveys 245 college-level…
Descriptors: Cognitive Style, Preferences, Reliability, Validity
Sooyong Lee; Suhwa Han; Seung W. Choi – Journal of Educational Measurement, 2024
Research has shown that multiple-indicator multiple-cause (MIMIC) models can result in inflated Type I error rates in detecting differential item functioning (DIF) when the assumption of equal latent variance is violated. This study explains how the violation of the equal variance assumption adversely impacts the detection of nonuniform DIF and…
Descriptors: Factor Analysis, Bayesian Statistics, Test Bias, Item Response Theory
Kylie Anglin – Society for Research on Educational Effectiveness, 2022
Background: For decades, education researchers have relied on the work of Campbell, Cook, and Shadish to help guide their thinking about valid impact estimates in the social sciences (Campbell & Stanley, 1963; Shadish et al., 2002). The foundation of this work is the "validity typology" and its associated "threats to…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Validity
Daoxuan Fu; Chunying Qin; Zhaosheng Luo; Yujun Li; Xiaofeng Yu; Ziyu Ye – Journal of Educational and Behavioral Statistics, 2025
One of the central components of cognitive diagnostic assessment is the Q-matrix, which is an essential loading indicator matrix and is typically constructed by subject matter experts. Nonetheless, to a large extent, the construction of Q-matrix remains a subjective process and might lead to misspecifications. Many researchers have recognized the…
Descriptors: Q Methodology, Matrices, Diagnostic Tests, Cognitive Measurement
Muhammad Syahrul Kahar; Irmawati; Muhammad Fathurrahman; Suparman Suparman; Wanida Simpol; Muhammad Ali – Educational Process: International Journal, 2025
Background/purpose: The application of learning models is expected to significantly promote the enhancement of students' problem-solving abilities through the development of interactive learning models. This study aims to (1) determine whether the Development of the Component Display Theory (CDT) Model is categorized as valid, practical, and…
Descriptors: Problem Solving, Skill Development, Models, Validity
Wendy Chan – Asia Pacific Education Review, 2024
As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…
Descriptors: Probability, Scores, Causal Models, Statistical Inference
John Hollander; Andrew Olney – Cognitive Science, 2024
Recent investigations on how people derive meaning from language have focused on task-dependent shifts between two cognitive systems. The symbolic (amodal) system represents meaning as the statistical relationships between words. The embodied (modal) system represents meaning through neurocognitive simulation of perceptual or sensorimotor systems…
Descriptors: Verbs, Symbolic Language, Language Processing, Semantics
Zhang, Gang; Li, Huihui; Yan, Shimei – Journal of Creative Behavior, 2021
This study provides insight into the role of expertise in the process of team creativity. Existing process models, that is, the random variation model and the creative synthesis model, either fail to treat team as an independent creative entity or neglect the differentiation in the voice of individual members in team creative process. In contrast,…
Descriptors: Expertise, Teamwork, Creativity, Models
Emma Medland; Marion Heron; Kieran Balloo; Alina Syeda Husain – Teaching in Higher Education, 2025
Research-based and practical reflection tools can enable systematic analysis of practice and contribute to deeper understandings of classroom processes. An empirically based, evidence-informed reflection tool was developed to support teachers to recognise feedback talk and how it is built into classroom interactions. The tool, titled the feedback…
Descriptors: Evidence Based Practice, Reflection, Feedback (Response), Literacy
Kylie Anglin – AERA Open, 2024
Given the rapid adoption of machine learning methods by education researchers, and the growing acknowledgment of their inherent risks, there is an urgent need for tailored methodological guidance on how to improve and evaluate the validity of inferences drawn from these methods. Drawing on an integrative literature review and extending a…
Descriptors: Validity, Artificial Intelligence, Models, Best Practices
Ceylan, Hasan Can; Hardalaç, Naciye; Kara, Ali Can; Hardalaç Firat – World Journal of Education, 2021
Because the classification saves time in the learning process and enables this process to take place more easily, its contribution to music learning cannot be denied. One of the most valid and effective methods in music classification is music genre classification. Given the rapid progress of music production in the world and the significant…
Descriptors: Music, Classification, Automation, Music Education