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Xiao Liu; Zhiyong Zhang; Kristin Valentino; Lijuan Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Parallel process latent growth curve mediation models (PP-LGCMMs) are frequently used to longitudinally investigate the mediation effects of treatment on the level and change of outcome through the level and change of mediator. An important but often violated assumption in empirical PP-LGCMM analysis is the absence of omitted confounders of the…
Descriptors: Mediation Theory, Bayesian Statistics, Growth Models, Monte Carlo Methods
Shruti Misra – ProQuest LLC, 2024
Measuring innovation is key to realizing innovation in practice. One of the primary reasons why measurement is important stems from the fundamental principle that what is measured is, in turn, what garners attention and action. Systematic measurement of innovation can enable researchers and practitioners to propose and undertake strategic…
Descriptors: Educational Innovation, Engineering Education, Energy, Energy Conservation
Diana Samal; Hartono; Estu Widodo; Ria Arista Asih; Julham Hukom; Salifa Belatu – Pegem Journal of Education and Instruction, 2024
Implementing the Blended Learning model was identified as having a major influence on achieving learning objectives in the classroom. Blended learning facilitates different times and types of student learning so students can learn according to their needs. The purpose of this study is to define the blended learning effectiveness used at MTs…
Descriptors: Program Evaluation, Blended Learning, Program Effectiveness, Foreign Countries
C. Rashaad Shabab – Teaching Mathematics and Its Applications, 2024
This paper applies the well-known cognitive bias of loss aversion from behavioural economics to student decisions over engagement with mathematically demanding coursework. This bias is shown to predict behaviour that is consistent with mathematics anxiety in a dynamic model of student engagement. It is shown that these forces can imply…
Descriptors: Mathematics Anxiety, Mathematics Instruction, Difficulty Level, Student Behavior
A Method for Generating Course Test Questions Based on Natural Language Processing and Deep Learning
Hei-Chia Wang; Yu-Hung Chiang; I-Fan Chen – Education and Information Technologies, 2024
Assessment is viewed as an important means to understand learners' performance in the learning process. A good assessment method is based on high-quality examination questions. However, generating high-quality examination questions manually by teachers is a time-consuming task, and it is not easy for students to obtain question banks. To solve…
Descriptors: Natural Language Processing, Test Construction, Test Items, Models
Renata Kuba; Allan Jeong – Journal of Visual Literacy, 2024
This study examined the visual design processes and strategies used by design experts and non-design college students when composing an infographic. All participants created an infographic on a personal computer and were asked to think aloud as they performed the task. The goal was to identify differences in the strategies utilised to produce…
Descriptors: College Students, Visual Aids, Computer Graphics, Design
Paul Engelschalt; Tom Bielik; Moritz Krell; Dirk Krüger; Annette Upmeier zu Belzen – International Journal of Science Education, 2024
The development of metaknowledge about models (MKM) and metaknowledge about the modelling process (MKP) are important in pre-service science teachers (PSTs) education. MKM refers to knowledge about the model's entities and its purposes, while MKP refers to knowledge about the components and structure of the modelling process. Assessing MKM and MKP…
Descriptors: Preservice Teachers, Knowledge Level, Epistemology, Models
Michael Schultz – Sociological Methods & Research, 2024
This paper presents a model of recurrent multinomial sequences. Though there exists a quite considerable literature on modeling autocorrelation in numerical data and sequences of categorical outcomes, there is currently no systematic method of modeling patterns of recurrence in categorical sequences. This paper develops a means of discovering…
Descriptors: Research Methodology, Sequential Approach, Models, Markov Processes
W. Jake Thompson; Amy K. Clark – Educational Measurement: Issues and Practice, 2024
In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision-making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that…
Descriptors: Decision Making, Instructional Improvement, Evaluation Methods, Models
Laura Cruz; Hillary H. Steiner; Clare Cruz – International Journal for the Scholarship of Teaching and Learning, 2024
Although the scholarship of teaching and learning (SoTL) has been described as the signature pedagogy of educational development (a professional field focused on support for teaching and learning in higher education), there is little systematic evidence of the scale and scope of the SoTL support practices that centers for teaching and learning…
Descriptors: Educational Development, Scholarship, Instruction, Learning
Derek E. Bowman; Heidi L. Lujan; Stephen E. DiCarlo – Advances in Physiology Education, 2024
Understanding complex physiological processes is a cornerstone of medical education, and one such fundamental concept is the regulation of the glomerular filtration rate (GFR) by Starling forces. Therefore, developing a physiologically sound educational model to demonstrate these forces can significantly enhance the learning experience for…
Descriptors: Medical Education, Physiology, Human Body, Science Education
Robin R. Donovan – ProQuest LLC, 2024
A practice that dates back centuries, apprenticeship is a workforce development model that has gained recent attention in the American higher education system. The researcher conducted a review of existing literature that included apprenticeships in higher education and other models of community college workforce development. Existing literature…
Descriptors: Community Colleges, Urban Schools, Apprenticeships, Labor Force Development
Ismail Cuhadar; Ömür Kaya Kalkan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Simulation studies are needed to investigate how many score categories are sufficient to treat ordered categorical data as continuous, particularly for bifactor models. The current simulation study aims to address such needs by investigating the performance of estimation methods in the bifactor models with ordered categorical data. Results support…
Descriptors: Predictor Variables, Structural Equation Models, Sample Size, Evaluation Methods
Timothy R. Konold; Elizabeth A. Sanders – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Within the frequentist structural equation modeling (SEM) framework, adjudicating model quality through measures of fit has been an active area of methodological research. Complicating this conversation is research revealing that a higher quality measurement portion of a SEM can result in poorer estimates of overall model fit than lower quality…
Descriptors: Structural Equation Models, Reliability, Bayesian Statistics, Goodness of Fit
Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection