NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 871 to 885 of 112,994 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Judith Glaesser – International Journal of Social Research Methodology, 2024
Causal asymmetry is a situation where the causal factors under study are more suitable for explaining the outcome than its absence (or vice versa); they do not explain both equally well. In such a situation, presence of a cause leads to presence of the effect, but absence of the cause may not lead to absence of the effect. A conceptual discussion…
Descriptors: Comparative Analysis, Causal Models, Correlation, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Jaeyoung Ha; Kawthar Alrayyan; M. M. Lekhon Alam – Discover Education, 2024
There is much interest in employing computer technology in design professions and education. However, few attempts have been made to apply immersive visualization technology to learn design details in landscape architecture. This study aims to illuminate how virtual reality (VR) technology helps students with design details in landscape…
Descriptors: Computer Simulation, Computer Uses in Education, Design, Horticulture
Peer reviewed Peer reviewed
Direct linkDirect link
Doug Lombardi; Gale M. Sinatra; Janelle M. Bailey; Lucas P. Butler – Educational Psychology Review, 2024
Our technological, information-rich society thrives because of scientific thinking. However, a comprehensive theory of the development of scientific thinking remains elusive. Building on previous theoretical and empirical work in conceptual change, the role of credibility and plausibility in evaluating scientific evidence and claims, science…
Descriptors: Science Education, Scientific Literacy, Thinking Skills, Skill Development
Peer reviewed Peer reviewed
Direct linkDirect link
C. J. Van Lissa; M. Garnier-Villarreal; D. Anadria – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Latent class analysis (LCA) refers to techniques for identifying groups in data based on a parametric model. Examples include mixture models, LCA with ordinal indicators, and latent class growth analysis. Despite its popularity, there is limited guidance with respect to decisions that must be made when conducting and reporting LCA. Moreover, there…
Descriptors: Multivariate Analysis, Structural Equation Models, Open Source Technology, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Anastasia Efklides; Bennett L. Schwartz – Educational Psychology Review, 2024
Efklides and colleagues developed the Metacognitive and Affective model of Self-Regulated Learning (MASRL) to provide a comprehensive theoretical framework of self-regulated learning (SRL). The distinguishing feature of MASRL is that it stresses metacognitive experiences and other subjective experiences (e.g., motivational, affective) as critical…
Descriptors: Metacognition, Self Management, Learning Strategies, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Philip P. Lampkin; Angie E. Xu; Brian J. Esselman; Cara E. Schwarz; Sebastian D. Thompson; Samuel H. Gellman; Nicholas J. Hill – Journal of Chemical Education, 2024
Synthesis of (Z)-alkenes is challenging because the (E) stereoisomers are usually more stable. Energy transfer photocatalysis has emerged as an efficient strategy for (E) [right arrow] (Z) alkene isomerization. We report the development of an advanced undergraduate laboratory experiment that introduces students to contemporary organic…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Synthesis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ebru Elçi – South African Journal of Education, 2024
With this research we aimed to determine the correlation between teacher candidates' digital literacy levels and lifelong learning tendencies. This research was created as a mixed methods research. The quantitative group of the research consisted of 650 teacher candidates studying at the education faculties of different universities in Istanbul in…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Digital Literacy
Jacqueline M. Cook; Laura D. Cain; Todd B. Gungoll – ProQuest LLC, 2024
Catholic schools have faced enrollment challenges for at least two decades. The staggering numbers of Catholic school closures should compel all stakeholders to reflect on the traditional model of Catholic schools and consider what alternative models could more effectively carry out the mission of the Church. Alternative school models, such as…
Descriptors: Catholic Schools, Models, Small Schools, Leaders
Todd B. Gungoll; Laura D. Cain; Jacqueline M. Cook – ProQuest LLC, 2024
Catholic schools have faced enrollment challenges for at least two decades. The staggering numbers of Catholic school closures should compel all stakeholders to reflect on the traditional model of Catholic schools and consider what alternative models could more effectively carry out the mission of the Church. Alternative school models, such as…
Descriptors: Catholic Schools, Models, Small Schools, Leaders
Laura D. Cain; Jacqueline M. Cook; Todd B. Gungoll – ProQuest LLC, 2024
Catholic schools have faced enrollment challenges for at least two decades. The staggering numbers of Catholic school closures should compel all stakeholders to reflect on the traditional model of Catholic schools and consider what alternative models could more effectively carry out the mission of the Church. Alternative school models, such as…
Descriptors: Catholic Schools, Models, Small Schools, Leaders
Benjamin L. Edelman – ProQuest LLC, 2024
This dissertation is about a particular style of research. The philosophy of this style is that in order to scientifically understand deep learning, it is fruitful to investigate what happens when neural networks are trained on simple, mathematically well-defined tasks. Even though the training data is simple, the training algorithm can end up…
Descriptors: Learning Processes, Research Methodology, Algorithms, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Richard Remedios; Peter Sewell – Higher Education, Skills and Work-based Learning, 2024
Purpose: A range of models of employability implicitly or directly identify potential drivers of motivated behaviour related to engaging in employment-related outcomes whilst acknowledging that employability is also about developing life skills. Motivational theorists suggest that tasks engaged for external purposes, e.g. working towards an…
Descriptors: Employment Potential, Motivation, Self Efficacy, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Robert D. Plumley; Matthew L. Bernacki; Jeffrey A. Greene; Shelbi Kuhlmann; Mladen Rakovic; Christopher J. Urban; Kelly A. Hogan; Chaewon Lee; Abigail T. Panter; Kathleen M. Gates – British Journal of Educational Technology, 2024
Even highly motivated undergraduates drift off their STEM career pathways. In large introductory STEM classes, instructors struggle to identify and support these students. To address these issues, we developed co-redesign methods in partnership with disciplinary experts to create high-structure STEM courses that better support students and produce…
Descriptors: Learning Analytics, Prediction, Undergraduate Study, Biology
Peer reviewed Peer reviewed
Direct linkDirect link
Sarit Barzilai; Clark A. Chinn – Educational Psychology Review, 2024
The nurturing of learners' ways of knowing is vital for supporting their intellectual growth and their participation in democratic knowledge societies. This paper traces the development of two interrelated theoretical frameworks that describe the nature of learners' epistemic thinking and performance and how education can support epistemic growth:…
Descriptors: Thinking Skills, Epistemology, Individual Development, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Benjamin R. Shear; Derek C. Briggs – Asia Pacific Education Review, 2024
Research in the social and behavioral sciences relies on a wide range of experimental and quasi-experimental designs to estimate the causal effects of specific programs, policies, and events. In this paper we highlight measurement issues relevant to evaluating the validity of causal estimation and generalization. These issues impact all four…
Descriptors: Measurement Techniques, Inferences, COVID-19, Pandemics
Pages: 1  |  ...  |  55  |  56  |  57  |  58  |  59  |  60  |  61  |  62  |  63  |  ...  |  7533