Publication Date
In 2025 | 3 |
Since 2024 | 10 |
Since 2021 (last 5 years) | 40 |
Since 2016 (last 10 years) | 81 |
Since 2006 (last 20 years) | 285 |
Descriptor
Source
Author
Fitzgerald, Gail E. | 3 |
Imma Miralpeix | 3 |
Paul Meara | 3 |
Abramovitz, A. | 2 |
Ames, Allison J. | 2 |
Colpaert, Jozef | 2 |
Dasgupta, Ranjan | 2 |
Decoo, Wilfried | 2 |
Dixon, Terry | 2 |
Gierl, Mark J. | 2 |
Ip, Albert | 2 |
More ▼ |
Publication Type
Education Level
Audience
Practitioners | 32 |
Teachers | 27 |
Researchers | 14 |
Administrators | 8 |
Students | 2 |
Community | 1 |
Counselors | 1 |
Media Staff | 1 |
Policymakers | 1 |
Location
United Kingdom | 12 |
Spain | 8 |
Australia | 5 |
Belgium | 4 |
Norway | 4 |
United States | 4 |
Canada | 3 |
France | 3 |
Germany | 3 |
Hawaii | 3 |
Israel | 3 |
More ▼ |
Laws, Policies, & Programs
Digital Millennium Copyright… | 1 |
Equal Access | 1 |
Family Educational Rights and… | 1 |
Individuals with Disabilities… | 1 |
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
NEO Five Factor Inventory | 1 |
What Works Clearinghouse Rating
Steffen Nestler; Sarah Humberg – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Several variants of the autoregressive structural equation model were suggested over the past years, including, for example, the random intercept autoregressive panel model, the latent curve model with structured residuals, and the STARTS model. The present work shows how to place these models into a mixed-effects model framework and how to…
Descriptors: Structural Equation Models, Computer Software, Models, Measurement
Tenko Raykov; Lisa Calvocoressi; Randall E. Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain settings widely used in empirical studies, the second-order model is nested in the bi-factor model and obtained from the latter after imposing appropriate…
Descriptors: Factor Analysis, Decision Making, Computer Software, Measurement Techniques
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
Fumei Liu – Cogent Education, 2024
This paper details how to effectively share three-dimensional geological models using data conversion between two mainstream mining software, Micromine and Surpac. It also discusses the impact of this conversion method on geological integrated exploration decision-making guidance. The current situation primarily manifests in the fact that both…
Descriptors: Computer Software, Geology, Models, Decision Making
Chimalakonda, Sridhar; Nori, Kesav V. – Interactive Learning Environments, 2023
Despite rapid advances, modeling a variety of instructional designs to support variations in teaching and learning during the design of educational technologies is still an open challenge. In this paper, we propose a patterns based approach for the design of educational technologies to address this challenge. This is in contrast with existing…
Descriptors: Educational Technology, Instructional Design, Teaching Methods, Adult Literacy
Gerit Wagner; Laureen Thurner – Journal of Information Systems Education, 2025
Git, as the leading version-control system, is frequently employed by software developers, digital product managers, and knowledge workers. Information systems (IS) students aspiring to fill software engineering, management, or research positions would therefore benefit from familiarity with Git. However, teaching Git effectively can be…
Descriptors: Computer Science Education, Information Systems, Teaching Methods, Computer Software
Kubsch, Marcus; Hamerski, Patti C. – Physics Teacher, 2022
Energy is a disciplinary core idea and a cross-cutting concept in the K-12 Framework for Science Education and the Next Generation Science Standards (NGSS). As numerous authors point out, the energy model in these standards emphasizes the connections between energy and systems. Using energy ideas to interpret or make sense of phenomena means…
Descriptors: Energy, Science Instruction, Scientific Concepts, Models
JonathanP. Antle; Jerry T. Godbout; Scott Simpson – Journal of Chemical Education, 2022
Students in an upper-level physical chemistry course utilized an open-sourced statistical software package to construct models fitted to experimental pressure-volume data. In the first part of the experiment, students familiarize themselves with model fitting. In the second part of the experiment, students determine which truncated version of the…
Descriptors: Chemistry, Science Instruction, Models, Goodness of Fit
Neha Sharma; Bharti Badhani; Bhashyam Vaijayanthi; Priyanka Aggarwal; Anshika Gupta – Journal of Chemical Education, 2023
The introduction of Computational Chemistry via "Molecular Modelling and Drug Design" course at undergraduate level has opened wide possibilities for students to expand their knowledge of quantum chemistry, organic reaction mechanisms, protein-ligand interactions, drug design, and probable "in vivo" behavior of drug candidates.…
Descriptors: Computation, Undergraduate Study, Chemistry, Molecular Structure
Julie M. Galliart; Kevin M. Roessger – Adult Learning, 2024
Practitioners of adult education have a long history of teaching for social change. They may, however, be uncomfortable using quantitative methods to assess the impact of their learning activities, or they might lack access to statistical analysis software. Quantitative methods help the practitioner determine whether behavioral or attitudinal…
Descriptors: Social Change, Adult Learning, Statistical Analysis, Methods
Raykov, Tenko; DiStefano, Christine; Calvocoressi, Lisa; Volker, Martin – Educational and Psychological Measurement, 2022
A class of effect size indices are discussed that evaluate the degree to which two nested confirmatory factor analysis models differ from each other in terms of fit to a set of observed variables. These descriptive effect measures can be used to quantify the impact of parameter restrictions imposed in an initially considered model and are free…
Descriptors: Effect Size, Models, Measurement Techniques, Factor Analysis
Berg, Arthur – Teaching Statistics: An International Journal for Teachers, 2021
The topic of Bayesian updating is explored using standard and non-standard dice as an intuitive and motivating model. Details of calculating posterior probabilities for a discrete distribution are provided, offering a different view to P-values. This article also includes the stars and bars counting technique, a powerful method of counting that is…
Descriptors: Bayesian Statistics, Teaching Methods, Statistics Education, Intuition
Moro, Christian; Mills, Kathy A.; Phelps, Charlotte; Birt, James – International Journal of Educational Technology in Higher Education, 2023
Educational institutions are increasingly investing into digital delivery, acquiring new devices, and employing novel software and services. The rising costs associated with maintenance, in combination with increasing redundancy of older technologies, presents multiple challenges. While lesson content itself may not have changed, the educational…
Descriptors: Sustainability, Educational Technology, Blended Learning, Intervention
Hootan Roshandel; Matthew Shammami; Shiyun Lin; Yin-Pok Wong; Paula L. Diaconescu – Journal of Chemical Education, 2023
The rise of virtual and online education in recent years has led to the development and popularization of many online tools, notably three-dimensional (3D) models and augmented reality (AR), for visualizing various structures in chemical sciences. The majority of the developed tools focus on either small molecules or biological systems, as…
Descriptors: Plastics, Science Instruction, Chemistry, Computer Software
McEneaney, John; Morsink, Paul – Journal of Learning Analytics, 2022
Learning analytics (LA) provides tools to analyze historical data with the goal of better understanding how curricular structures and features have impacted student learning. Forward-looking curriculum design, however, frequently involves a degree of uncertainty. Historical data may be unavailable, a contemplated modification to curriculum may be…
Descriptors: Curriculum Design, Learning Analytics, Educational Change, Computer Software