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Jackson, Dan; Rhodes, Kirsty; Ouwens, Mario – Research Synthesis Methods, 2021
Methods for indirect comparisons and network meta-analysis use aggregate level data from multiple studies. A very common, and closely related, scenario is where a company has individual patient data (IPD) from its own trial, but only has published aggregate data from a competitor's trial, and an indirect comparison of the treatments evaluated in…
Descriptors: Comparative Analysis, Meta Analysis, Sample Size, Statistical Analysis
Ilha Villanova, Ana Luisa; Pina e Cunha, Miguel – Journal of Creative Behavior, 2021
We systematically review the concept and main characteristics of everyday creativity. First, we highlight the fact that a comprehensive definition of everyday creativity is still missing. The evidence reveals that the lack of a single approach for assessing everyday creative outcomes has led to an ambiguous understanding of this concept.…
Descriptors: Creativity, Gifted, Definitions, Ambiguity (Semantics)
Long, J. Scott; Mustillo, Sarah A. – Sociological Methods & Research, 2021
Methods for group comparisons using predicted probabilities and marginal effects on probabilities are developed for regression models for binary outcomes. Unlike approaches based on the comparison of regression coefficients across groups, the methods we propose are unaffected by the scalar identification of the coefficients and are expressed in…
Descriptors: Regression (Statistics), Comparative Analysis, Probability, Groups
McMahon, Martin; Hatton, Chris – Journal of Applied Research in Intellectual Disabilities, 2021
Introduction: There is considerable international research indicating health disparities between people with and without intellectual disabilities. It is important that comparative studies use representative population samples. This study compares a total administrative population of adults with intellectual disability to a random stratified…
Descriptors: Comparative Analysis, Incidence, Physical Health, Adults
Carmen Barquero-Ruiz; David Kirk – Curriculum Studies in Health and Physical Education, 2024
Building on the original work of Bunker and Thorpe and their Teaching Games for Understanding (TGfU) approach to physical education, there is now a proliferation of Game Based Approaches (GBA) in the research literature (Bunker & Thorpe, 1982, A model for the teaching of games in secondary schools. "Bulletin of Physical Education,"…
Descriptors: Physical Education, Game Based Learning, Educational Games, Teaching Methods
Elien Sijmkens; Nico Scheerlinck; Mieke De Cock; Johan Deprez – International Journal of Mathematical Education in Science and Technology, 2024
Differential equations are an important mathematical concept used to model processes in many disciplines. However, the literature shows that students experience many difficulties when studying this topic. We investigate the effect of using context while teaching differential equations on engineering students' ability to construct and interpret…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematical Concepts, Comparative Analysis
Wen-Xiong Chen; Yi-Ru Chen; Min-Zhi Peng; Xian Liu; Yan-Na Cai; Zhi-Fang Huang; Si-Yuan Yang; Jing-Yu Huang; Ruo-Han Wang; Peng Yi; Li Liu – Journal of Autism and Developmental Disorders, 2024
To retrospectively explore the characteristics of plasma amino acids (PAAs) in children with autism spectrum disorder and their clinical association via case-control study. A total of 110 autistic and 55 healthy children were recruited from 2014 to 2018. The clinical phenotypes included severity of autism, cognition, adaptability, and regression.…
Descriptors: Autism Spectrum Disorders, Severity (of Disability), Foreign Countries, Comparative Analysis
Yuang Wei; Bo Jiang – IEEE Transactions on Learning Technologies, 2024
Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…
Descriptors: Cognitive Mapping, Models, Prediction, Short Term Memory
Alexis Danielle Bolick; Rafael Leonardo da Silva – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article explores the potential impact of Artificial Intelligence (AI) tools on Instructional Design (ID) workflows and organizations from a systems thinking perspective (Meadows, 2008). We provide an in-depth analysis of how three AI tools, ChatGPT, Midjourney, and Descript, can enhance efficiency in instructional design content creation…
Descriptors: Artificial Intelligence, Instructional Design, Task Analysis, Ethics
Roxanne Hughes; Shannon G. Davidson; Kawana Johnson – Journal for STEM Education Research, 2024
Science, technology, engineering, and mathematics (STEM) fields are incredibly valuable to the world as innovations can help improve infrastructure and save lives. The United States has called for improvements in mentoring to help build a larger STEM workforce. Many studies and reports have focused on the experience of mentees within communities…
Descriptors: STEM Education, Undergraduate Students, Teachers, Mentors
Adam N. Glynn; Miguel R. Rueda; Julian Schuessler – Sociological Methods & Research, 2024
Post-instrument covariates are often included as controls in instrumental variable (IV) analyses to address a violation of the exclusion restriction. However, we show that such analyses are subject to biases unless strong assumptions hold. Using linear constant-effects models, we present asymptotic bias formulas for three estimators (with and…
Descriptors: Causal Models, Statistical Inference, Error of Measurement, Least Squares Statistics
Nathan J. Mentzer; Tonya M. Isabell; Lakshmy Mohandas – Journal of Computing in Higher Education, 2024
HyFlex learning environments have been meeting the unique needs of students and institutions for nearly 20 years. However, it was the pandemic that gave HyFlex its widespread acceptance and application. Literature suggests that HyFlex may now be considered part of the new norm in education and therefore, further study is needed on how it affects…
Descriptors: Blended Learning, Experiential Learning, Synchronous Communication, Performance
Terhi Nokkala; Markku Lehtonen; Anna Lehtonen; Josep Espluga Trenc; Niina Mykrä; Hannu Heikkinen; Ana Prades Lopez – Higher Education Quarterly, 2024
Sustainability action at universities is complex and requires engaging multiple competences that reside on different levels outside and inside the organisation. In addition to individual competences, social communities also possess collective resources and characteristics that do not translate into a sum of individual abilities. Based on a…
Descriptors: Sustainable Development, Higher Education, Comparative Analysis, Foreign Countries
Antonio P. Gutierrez de Blume; Diana Marcela Montoya Londoño; Virginia Jiménez Rodríguez; Olivia Morán Núñez; Ariel Cuadro; Lilián Daset; Mauricio Molina Delgado; Claudia García de la Cadena; María Beatríz Beltrán Navarro; Aníbal Puente Ferreras; Sebastián Urquijo; Walter Lizandro Arias – Metacognition and Learning, 2024
Metacognition is defined as a higher-order thinking skill that enables individuals to monitor, control, and regulate their thinking and behavior. In education, this skill is important, as learners need to self-regulate their learning behaviors for successful lifelong learning. Thus, it is essential for educators and learners alike to know their…
Descriptors: Metacognition, Measures (Individuals), Psychometrics, Standards
Yapeng Wang – Research in Higher Education, 2024
Despite decades of national efforts to increase students' participation and success in STEM, bachelor's degrees in STEM continue to notably lag the labor force demand. Asian students represent one group that disproportionately contributes to the share of STEM degrees. Understanding their experiences can help to illuminate ways of increasing STEM…
Descriptors: STEM Education, Time to Degree, Asian American Students, Females