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J. S. Allison; L. Santana; I. J. H. Visagie – Teaching Statistics: An International Journal for Teachers, 2025
Given sample data, how do you calculate the value of a parameter? While this question is impossible to answer, it is frequently encountered in statistics classes when students are introduced to the distinction between a sample and a population (or between a statistic and a parameter). It is not uncommon for teachers of statistics to also confuse…
Descriptors: Statistics Education, Teaching Methods, Computation, Sampling
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Tugay Kaçak; Abdullah Faruk Kiliç – International Journal of Assessment Tools in Education, 2025
Researchers continue to choose PCA in scale development and adaptation studies because it is the default setting and overestimates measurement quality. When PCA is utilized in investigations, the explained variance and factor loadings can be exaggerated. PCA, in contrast to the models given in the literature, should be investigated in…
Descriptors: Factor Analysis, Monte Carlo Methods, Mathematical Models, Sample Size
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Nguyen Duc Hanh – Higher Education Studies, 2025
This study has collected the data, analysed it, and drawn the necessary scientific conclusions to standardise the toolkit to evaluate educational accreditation activities' influence on training program development in Vietnam. The research method of the article includes building survey questionnaires and collecting data from 80 lecturers in 10…
Descriptors: Foreign Countries, Training Methods, Evaluation Methods, Program Evaluation
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Robert L. Hampel – Schools: Studies in Education, 2024
Daniel J. Boorstin was a distinguished historian at the University of Chicago from 1944 to 1969; later he served as librarian of Congress. A prolific author throughout his 89 years, Boorstin saved several unpublished manuscripts. His cogent observations on college lectures are resurrected here. For Boorstin, the widespread definition of great…
Descriptors: Barriers, Progressive Education, Authors, College Faculty
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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
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Liora Katz; Leonardo Silva-Dias; Milos Dolnik – Journal of Chemical Education, 2024
Under the appropriate conditions, oscillatory chemical reactions have the capacity to generate chemical waves and spatial patterns. Among these structures, Turing patterns are a distinct class that, to date, has not been commonly demonstrated in a classroom environment. We present here a novel, practical procedure for the demonstration of Turing…
Descriptors: Science Education, Scientific Concepts, Chemistry, Lecture Method
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Timothy R. Konold; Elizabeth A. Sanders; Kelvin Afolabi – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…
Descriptors: Evaluation Methods, Error of Measurement, Validity, Monte Carlo Methods
John Hattie; Timothy O'Leary; Kyle Hattie; Gregory Donoghue – Corwin, 2024
Today's students need more than great teaching of the curricula; they must also be taught the love and strategies of learning. It's time for a balanced approach that teaches students how to access and process information and inspires a desire for continuous learning. Written by renowned researchers and educators, "Great Learners by…
Descriptors: Teaching Methods, Learning Strategies, Learning Theories, Educational Principles
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Krista M. Soria; Brandon W. Kliewer – New Directions for Student Leadership, 2024
In emergence-based leadership education, the knowledge and experiences co-created in the classroom may violate some of the assumptions behind traditional teaching and learning assessment methods. Thus, traditional assessment, evaluation, and outcomes for courses utilizing emergence-based methods, such as intentional emergence, case-in-point,…
Descriptors: Leadership Training, Evaluation Methods, Conventional Instruction, Teaching Methods
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Ruiqi Deng – Technology, Pedagogy and Education, 2024
Video lectures in massive open online courses (MOOCs) provide an opportunity to not only deliver instructional content but also engage learners. While there are many different styles of video lectures, it is not clear how video styles affect learner engagement. This study analysed and critiqued different typologies of video styles and classified…
Descriptors: Video Technology, MOOCs, Learner Engagement, Lecture Method
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Karen Gravett; Carol A. Taylor; Nikki Fairchild – Teaching in Higher Education, 2024
This article engages posthuman theory to propose a rethinking of the theory and practice of relational pedagogies within higher education (HE). There has been renewed emphasis within HE discourses on the significance of relationships within learning and teaching as a means to offer a counter-view to an uncaring marketised HE system. This article…
Descriptors: Teaching Methods, Learning Processes, Higher Education, Feminism
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Yingxiao Qian; Yi-Chun Hong; Michelene Chi – International Journal of STEM Education, 2024
Instructional videos have been increasingly critical to afford effective learning experiences in online courses, but most videos follow a lecturing monolog delivery format. This format tends to lead students to observe the videos passively. Previous laboratory studies have indicated that observing dialog videos of an instructor tutoring a tutee…
Descriptors: Video Technology, Online Courses, STEM Education, College Students
Kerrie S. Young – ProQuest LLC, 2024
The problem addressed in this study was the lack of critical thinking (CT) and clinical judgment (CJ) skills of senior level associate degree nursing students entering nursing orientation programs. The purpose of this randomized Solomon four-group pretest-posttest comparative study was to compare CJ and CT of senior level ADN students entering…
Descriptors: Nursing Students, Associate Degrees, Teaching Methods, Simulation
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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
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James Ohisei Uanhoro – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We present a method for Bayesian structural equation modeling of sample correlation matrices as correlation structures. The method transforms the sample correlation matrix to an unbounded vector using the matrix logarithm function. Bayesian inference about the unbounded vector is performed assuming a multivariate-normal likelihood, with a mean…
Descriptors: Bayesian Statistics, Structural Equation Models, Correlation, Monte Carlo Methods
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