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Bassey E. Antia – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Hornberger's Continuum of Biliteracy (CoBi) model is a precursor to approaches such as translanguaging and the New London Group's multiliteracies. CoBi enables us to analyse and address language and literacy practices in education in a structured way. In this paper, I reflect on the explanatory power of CoBi in education in the Global South,…
Descriptors: Bilingualism, Literacy, Developing Nations, Models
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Nicolas Szilas – International Journal of Game-Based Learning, 2025
The question of integrating learning content into a serious game is a recurring one, although no clear theoretical framework has yet been provided. It is often argued that integration should occur at the core mechanic level, but this simple statement conceals the complexity of serious game design. The authors therefore propose a theoretical…
Descriptors: Game Based Learning, Educational Games, Models, Design
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Jody Spiro; Paul Fleming – Learning Professional, 2025
Leadership teams have real power to drive improvement in schools by harnessing multiple experts' valuable perspectives and collaborative capacity. Even seasoned team members may not recognize their potential to address a persistent challenge in education: sustaining improvements over time. Fortunately, such sustainability can be intentionally…
Descriptors: Teamwork, Leadership, Models, Sustainability
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Delyan Penchev – European Journal of STEM Education, 2025
This article focuses on STEM integration as an important aspect of applying this approach in education. It presents the author's concept of its planning and implementation on the basis of systems theory and the systems approach. In this context, the components of STEM education are viewed as a system that emerges and operates "under the…
Descriptors: STEM Education, Interdisciplinary Approach, Systems Approach, Models
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Nasr Glenn; Glenn Hardaker; Aishah Sabki – International Journal of Information and Learning Technology, 2025
Purpose: The paper explores the alignment of artificial intelligence (AI) with what seems to be a belief that language is a natural growth. We reflect back and look forward on George Orwell and C.S. Lewis, based on commonalities and differences that provide unique insights into the implications of generative AI on language development for…
Descriptors: Artificial Intelligence, Intervention, English, Change
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Daniel Seddig – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The latent growth model (LGM) is a popular tool in the social and behavioral sciences to study development processes of continuous and discrete outcome variables. A special case are frequency measurements of behaviors or events, such as doctor visits per month or crimes committed per year. Probability distributions for such outcomes include the…
Descriptors: Growth Models, Statistical Analysis, Structural Equation Models, Crime
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Parkkinen, Veli-Pekka; Baumgartner, Michael – Sociological Methods & Research, 2023
In recent years, proponents of configurational comparative methods (CCMs) have advanced various dimensions of robustness as instrumental to model selection. But these robustness considerations have not led to computable robustness measures, and they have typically been applied to the analysis of real-life data with unknown underlying causal…
Descriptors: Robustness (Statistics), Comparative Analysis, Causal Models, Models
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Lu, Yu; Chen, Penghe; Pian, Yang; Zheng, Vincent W. – IEEE Transactions on Learning Technologies, 2022
In this article, we advocate for and propose a novel concept map driven knowledge tracing (CMKT) model, which utilizes educational concept map for learner modeling. This article particularly addresses the issue of learner data sparseness caused by the unwillingness to practice and irregular learning behaviors on the learner side. CMKT considers…
Descriptors: Concept Mapping, Learning Processes, Prediction, Models
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Cynthia Lima – Journal of College Science Teaching, 2025
This study examines the mathematization approaches and science, engineering, and mathematics (SEM) practices utilized by 18 elementary bilingual pre-service teachers (PSTs) when solving a model-eliciting activity. The activity prompted participants to design ramps with certain constraints. A case study methodology was used to analyze the…
Descriptors: Bilingual Teachers, Preservice Teachers, Teacher Education Programs, STEM Education
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Emma Somer; Carl Falk; Milica Miocevic – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Factor Score Regression (FSR) is increasingly employed as an alternative to structural equation modeling (SEM) in small samples. Despite its popularity in psychology, the performance of FSR in multigroup models with small samples remains relatively unknown. The goal of this study was to examine the performance of FSR, namely Croon's correction and…
Descriptors: Scores, Structural Equation Models, Comparative Analysis, Sample Size
Dae Woong Ham; Luke Miratrix – Grantee Submission, 2024
The consequence of a change in school leadership (e.g., principal turnover) on student achievement has important implications for education policy. The impact of such an event can be estimated via the popular Difference in Difference (DiD) estimator, where those schools with a turnover event are compared to a selected set of schools that did not…
Descriptors: Trend Analysis, Faculty Mobility, Academic Achievement, Principals
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Simon Grennan; Miranda Matthews; Claire Penketh; Carol Wild – International Journal of Art & Design Education, 2024
This paper, a conversation between Simon Grennan, Carol Wild, Miranda Matthews and Claire Penketh, explores drawing as cause and consequence, applying Grennan's thinking to three drawings as a means of exploring and exemplifying ideas discussed in his keynote at the iJADE Conference: Time in 2023. Following an initial introduction to key ideas…
Descriptors: Freehand Drawing, Time, Causal Models, Student Attitudes
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Issa W. AlHmoud; Samin Poudel; Sulochana Deshmukh; Caroline S. Booth; Greg Monty; Marwan Bikdash – Discover Education, 2024
Using a longitudinal national educational dataset, data science methods were applied to explain students' educational trajectories and determine the most predictive variables in STEM degree attainment. Challenging the notion of the STEM pipeline, an Alternative Pathways to STEM (APS) model was proposed. Using a foundation of Social Cognitive…
Descriptors: STEM Education, Models, Educational Attainment, Predictor Variables
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Dapeng Qu; Ruiduo Li; Tianqi Yang; Songlin Wu; Yan Pan; Xingwei Wang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
There are many important and interesting academic competitions that attract an increasing number of students. However, traditional student team building methods usually have strong randomness or involve only some first-class students. To choose more suitable students to compose a team and improve students' abilities overall, a competition-oriented…
Descriptors: Competition, Teamwork, Student Behavior, Methods
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Mike Coldwell; Nick Moore – British Educational Research Journal, 2024
Discussions of randomised controlled trials (RCTs) in education that do not show an impact regularly focus on the intervention and how it failed to impact on expected measures, with typologies identifying persistent critical points of failure. This paper uses one such RCT--the Integrating English programme--to exemplify the application of a new…
Descriptors: Randomized Controlled Trials, Failure, Models, Evaluation
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