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Sarah Ferguson – Journal of Educators Online, 2023
Practice makes perfect…this saying is a popular cliché, but it has validity when referencing the abundance of practice necessary to learn and master a new technique or skill. Like playing a game, honing a skill, or using a new technique, teaching requires practice to learn and improve. Working with preservice STEM teachers (PSTs), my goal was to…
Descriptors: STEM Education, Preservice Teachers, Simulation, Teaching Experience
Bailey, Jennifer; Kaiser, Forrest; Thomas, Christopher; Dillingham, Scott; Norwood, Daniel; Smith, Nikia; Brown, Arthur – NASSP Bulletin, 2022
Recent reports indicate the national principal attrition rate is at an all-time high. Scholars suggest a lack of responsive professional development as a leading factor in why principals leave the field. Further, the pandemic has exposed daily uncertainties for school leaders as they navigate new territory, bringing forth new considerations in how…
Descriptors: Leadership Training, Principals, Simulation, Professional Development
Joemari Olea; Kevin Carl Santos – Journal of Educational and Behavioral Statistics, 2024
Although the generalized deterministic inputs, noisy "and" gate model (G-DINA; de la Torre, 2011) is a general cognitive diagnosis model (CDM), it does not account for the heterogeneity that is rooted from the existing latent groups in the population of examinees. To address this, this study proposes the mixture G-DINA model, a CDM that…
Descriptors: Cognitive Measurement, Models, Algorithms, Simulation
Zhongcheng Lei; Hong Zhou; Wenshan Hu; Guo-Ping Liu – IEEE Transactions on Learning Technologies, 2024
Online laboratories have been widely used in education, research, and industrial applications. For online laboratories, various architectures have been constructed to provide good user experience and powerful capabilities for online experimentation, in which the controller is a crucial part to connect the server with a controlled test rig.…
Descriptors: Online Courses, Laboratories, Distance Education, Computers
Henry V. Jakubowski; Henry Agnew; Bartholomew Jardine; Herbert M. Sauro – Biochemistry and Molecular Biology Education, 2024
Biology is perhaps the most complex of the sciences, given the incredible variety of chemical species that are interconnected in spatial and temporal pathways that are daunting to understand. Their interconnections lead to emergent properties such as memory, consciousness, and recognition of self and non-self. To understand how these…
Descriptors: Biochemistry, Mathematics, Graphs, Simulation
Omid Khatin-Zadeh; Danyal Farsani – Cogent Education, 2024
In this article, we introduce the notion of "motion simulation hinge" and discuss its role in mental simulation of previously-experienced motion events and also mental simulation of scientific concepts in terms of motion events. Motion simulation hinge is defined as a static imaginary object or area around which or relative to which a…
Descriptors: Motion, Simulation, Inhibition, Short Term Memory
Tihomir Asparouhov; Bengt Muthén – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Penalized structural equation models (PSEM) is a new powerful estimation technique that can be used to tackle a variety of difficult structural estimation problems that can not be handled with previously developed methods. In this paper we describe the PSEM framework and illustrate the quality of the method with simulation studies.…
Descriptors: Structural Equation Models, Computation, Factor Analysis, Measurement Techniques
Jean-Paul Fox – Journal of Educational and Behavioral Statistics, 2025
Popular item response theory (IRT) models are considered complex, mainly due to the inclusion of a random factor variable (latent variable). The random factor variable represents the incidental parameter problem since the number of parameters increases when including data of new persons. Therefore, IRT models require a specific estimation method…
Descriptors: Sample Size, Item Response Theory, Accuracy, Bayesian Statistics
Melissa Brown; Stephen Carp; Kathleen Ehrhardt; Melissa Gilroy; Jason Konzelmann – New Directions for Teaching and Learning, 2024
The aim of this chapter is to provide the reader with a broad overview of clinical simulation using case examples to highlight the evolving multidomain teaching pedagogy in healthcare professional programs.
Descriptors: Clinical Experience, Allied Health Occupations Education, Simulation, Teaching Methods
Artur Huseinov; Noe T. Alvarez – Journal of Chemical Education, 2024
The measurement of glucose through electrochemical methods is a great example to illustrate the practical application of electrochemistry. Although many students enrolled in chemistry classes are familiar with the glucose meter, only a few have delved into the underlying principles governing its operation. This experiment aims to address this gap…
Descriptors: Chemistry, Simulation, Human Body, Science Education
Yiting Lin; Yunqi Cai; Cheng Lian; Shouhong Xu; Wenqing Zhang; Honglai Liu – Journal of Chemical Education, 2025
Ion transport, involving the diffusion and migration of ions within the electrolyte, stands as a fundamental concept in electrochemistry and serves as the driving force for electrochemical reactions. Electric double layers are critical in the fields of electrochemical energy storage and chemical conversion, constituting a central focus of…
Descriptors: Chemistry, Science Instruction, Energy, Engineering
Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2024
This paper is part 4 in a series of workshops that examine the properties of some simple models of vocabulary networks. This Workshop explores how the overall activity level of a vocabulary network can be altered by changing the connections in the network (i.e., by implementing relinking events). The Workshop is linked to an online practice room…
Descriptors: Vocabulary Development, Models, Simulation, Workshops
Johan Lyrvall; Zsuzsa Bakk; Jennifer Oser; Roberto Di Mari – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We present a bias-adjusted three-step estimation approach for multilevel latent class models (LC) with covariates. The proposed approach involves (1) fitting a single-level measurement model while ignoring the multilevel structure, (2) assigning units to latent classes, and (3) fitting the multilevel model with the covariates while controlling for…
Descriptors: Hierarchical Linear Modeling, Statistical Bias, Error of Measurement, Simulation
Richard Churches; Kate Wastie; Max Jones; Nina Dhillon – Education Development Trust, 2024
This report provides advice to policymakers and school leaders on the use of assessment centres as part of a teacher selection approach. It discusses the relationship between assessment centre scores prior to joining teaching, and teacher effectiveness over a six-year period. It draws from various stages of a wider research project, the overall…
Descriptors: Beginning Teachers, Classroom Techniques, Prediction, Teacher Selection
Cumber, Peter – International Journal of Mathematical Education in Science and Technology, 2023
The dynamics of a simple pendulum are often presented to undergraduate engineering students in introductory courses in dynamics. It is usually the first dynamic system considered by students that is modelled by a differential equation. This paper presents the standard material given to students. It is fair to say that students are accepting this…
Descriptors: Motion, Scientific Concepts, Undergraduate Students, Engineering Education