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DeGlopper, Kimberly S.; Schwarz, Cara E.; Ellias, Niall J.; Stowe, Ryan L. – Journal of Chemical Education, 2022
To potentially engage students in "doing organic chemistry", organic chemistry courses should foreground weaving together structure- and energy-related ideas to construct causal accounts for phenomena. Here, we investigate whether enrolling in an organic chemistry course that places substantial emphasis ([approximately]50% of total…
Descriptors: Science Instruction, Organic Chemistry, Scientific Concepts, Concept Formation
Sotoudeh, Ramina; DiMaggio, Paul – Sociological Methods & Research, 2023
Sociologists increasingly face choices among competing algorithms that represent reasonable approaches to the same task, with little guidance in choosing among them. We develop a strategy that uses simulated data to identify the conditions under which different methods perform well and applies what is learned from the simulations to predict which…
Descriptors: Algorithms, Simulation, Prediction, Correlation
William Billingsley – Science & Education, 2025
This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artificial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Jia Zhu; Xiaodong Ma; Changqin Huang – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…
Descriptors: Teaching Methods, Knowledge Level, Algorithms, Attribution Theory
Pere J. Ferrando; Ana Hernández-Dorado; Urbano Lorenzo-Seva – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In this article, we propose an EFA approach in which both the common factor solution and the residual matrix are unrestricted (i.e., the correlated residuals…
Descriptors: Correlation, Factor Analysis, Models, Goodness of Fit
van Aert, Robbie C. M. – Research Synthesis Methods, 2023
The partial correlation coefficient (PCC) is used to quantify the linear relationship between two variables while taking into account/controlling for other variables. Researchers frequently synthesize PCCs in a meta-analysis, but two of the assumptions of the common equal-effect and random-effects meta-analysis model are by definition violated.…
Descriptors: Correlation, Meta Analysis, Sampling, Simulation
Jennifer Rowsell; Anna Keune; Alison Buxton; Kylie Peppler – Reading Research Quarterly, 2024
This article challenges an over-reliance on language as the primary means to communicate knowledge by adopting a language"less"ness approach to maker pedagogies and maker literacies. Having conducted makerspace and design-based research for some time, we separately and together noticed a productive relationship between wordless…
Descriptors: Design, Teaching Methods, Correlation, Handicrafts
Kontorovich, Igor'; Zazkis, Rina; Mason, John – Mathematics Education Research Group of Australasia, 2021
Is the natural number 7 rational? Is it complex? We argue that the answers to these questions relate to the ways numbers are taught. Commonly, a new kind of numbers is presented as an expansion of a previously familiar kind of numbers, which results in a nested image of the relations between number sets. In this article, we introduce an…
Descriptors: Mathematics Instruction, Teaching Methods, Numbers, Correlation
Miriam Hattle; Joie Ensor; Katie Scandrett; Marienke van Middelkoop; Danielle A. van der Windt; Melanie A. Holden; Richard D. Riley – Research Synthesis Methods, 2024
Individual participant data (IPD) meta-analysis projects obtain, harmonise, and synthesise original data from multiple studies. Many IPD meta-analyses of randomised trials are initiated to identify treatment effect modifiers at the individual level, thus requiring statistical modelling of interactions between treatment effect and participant-level…
Descriptors: Meta Analysis, Randomized Controlled Trials, Outcomes of Treatment, Evaluation Methods
Mizumoto, Atsushi – Language Learning, 2023
Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…
Descriptors: Predictor Variables, Artificial Intelligence, Evaluation Methods, Multiple Regression Analysis
Armonda, Alex J. – Review of Education, Pedagogy & Cultural Studies, 2022
Turning to key texts of Paulo Freire and Jacques Lacan, this paper argues that the experience organized in critical pedagogy can be rearticulated on the basis of a structural-practical connection to psychoanalysis. I pay specific attention to the methodical parallels that develop between the accounts of the psychoanalytic and pedagogical…
Descriptors: Critical Theory, Teaching Methods, Psychiatry, Intervention
Baltzersen, Rolf K. – Routledge, Taylor & Francis Group, 2023
"Effective Use of Collective Peer Teaching in Teacher Education" investigates the learning benefits of letting students assume leadership roles in the classroom, emphasizing both theoretical analysis and firsthand empirical research conducted with pre-service teachers. Building on Vygotsky's (1987) sociocultural theory of human learning…
Descriptors: Peer Teaching, Teaching Methods, Teacher Education Programs, Learning Processes
Dimova, Slobodanka – Language Teaching Research Quarterly, 2022
Drawing on Glenn Fulcher's extensive work in performance-based language assessment of speaking, this paper explores the assessment of L2 speaking ability in local language testing contexts. For that purpose, I review Fulcher's influential work that highlights the relationship between the speaking construct, the task, the performance, and the…
Descriptors: Language Tests, Speech Communication, Performance Based Assessment, Second Language Learning
Wouter Sanderse – Journal of Curriculum Studies, 2024
The central question of this paper is whether and how, from a virtue ethical perspective, teacher modelling and student emulation hang together in moral education. This matters, because philosophers have often focussed either on the moral psychology of emulation or on modelling as a moral educational method, neglecting the interplay between the…
Descriptors: Moral Values, Moral Development, Teaching Methods, Ethics
Takkinen, Pasi; Pulkki, Jani – Educational Philosophy and Theory, 2023
Climate change education (CCE) and environmental education (EE) seek ways for us humans to keep inhabiting Earth. We present a thought experiment adopting the perspective of Earth-settlers, aiming to illuminate the planetary mass of technology. By elaborating Hannah Arendt's notion of 'earth alienation' and Bruno Latour's notion of technology as…
Descriptors: Climate, Environmental Education, Futures (of Society), Influence of Technology