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Xu Qin – Asia Pacific Education Review, 2024
Causal mediation analysis has gained increasing attention in recent years. This article guides empirical researchers through the concepts and challenges of causal mediation analysis. I first clarify the difference between traditional and causal mediation analysis and highlight the importance of adjusting for the treatment-by-mediator interaction…
Descriptors: Causal Models, Mediation Theory, Statistical Analysis, Computer Software
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Angela Feekery – Educational Action Research, 2024
A key aspect of engaging in a large participatory action research (PAR) project is ensuring that novice participant-researchers have a general understanding of the PAR methodology. Lead researchers experienced in action research cannot expect novice participant-researchers to engage fully with the literature on PAR, but rather need a simple way to…
Descriptors: Action Research, Novices, Researchers, Research Methodology
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Heungsun Hwang; Gyeongcheol Cho; Hosung Choo – Structural Equation Modeling: A Multidisciplinary Journal, 2024
GSCA Pro is free, user-friendly software for generalized structured component analysis structural equation modeling (GSCA-SEM), which implements three statistical methods for estimating models with factors only, models with components only, and models with both factors and components. This tutorial aims to provide step-by-step illustrations of how…
Descriptors: Research Tools, Structural Equation Models, Computer Software, Research Methodology
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Yi Feng – Asia Pacific Education Review, 2024
Causal inference is a central topic in education research, although oftentimes it relies on observational studies, which makes causal identification methodologically challenging. This manuscript introduces causal graphs as a powerful language for elucidating causal theories and an effective tool for causal identification analysis. It discusses…
Descriptors: Causal Models, Graphs, Educational Research, Educational Researchers
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Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
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Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
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Azamjon Oltmishevich Dadakhonov – Research on Education and Media, 2024
Media and Information Literacy (MIL) is one of the most important issues in today's mediatized world. Under the leadership of UNESCO, many international organizations in the world, as foreign donors, annually announce many projects and grants for the promotion and development of the field of MIL in the countries of the world. One of the main…
Descriptors: Media Literacy, Information Literacy, Skill Development, International Organizations
Tiffany Barnes; Sarah Burriss; Joshua Danish; Samantha Finkelstein; Megan Humburg; Ally Limke; Ole Molvig; Heidi Reichert – Community for Advancing Discovery Research in Education (CADRE), 2024
Research and development work in artificial intelligence in education (AIED) is wide ranging and rapidly growing to support all areas of science, technology, engineering, and mathematics (STEM) teaching and learning. At the risk of hyperbole, this is potentially the most fundamentally game-changing technology for education to emerge since the…
Descriptors: Ethics, Artificial Intelligence, Educational Research, Technology Uses in Education
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Umair Ali Khan; Janne Kauttonen; Lili Aunimo; Ari Alamäki – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The purpose of this paper is to address the challenges posed by disinformation in an educational context. The paper aims to review existing information assessment techniques, highlight their limitations, and propose a conceptual design for a multimodal, explainable information assessment system for higher education. The ultimate goal…
Descriptors: Artificial Intelligence, Higher Education, Trust (Psychology), Barriers
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Nathan Storey; Amanda J. Neitzel – Society for Research on Educational Effectiveness, 2024
Background: Since the COVID-19 pandemic, American students have demonstrated substantial losses in achievement (Amplify, 2021; Domingue et al., 2021; Dorn et al., 2020; Storey & Zhang, 2023), while chronic absenteeism doubled after the pandemic, with the largest increase among low-income students (Chang et al., 2022; Dorn et al., 2021). Among…
Descriptors: Elementary Secondary Education, Parent Participation, Family Involvement, Parent School Relationship