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Xinyue Li – International Journal for Technology in Mathematics Education, 2023
Digital learning resources are commonly employed to support learning in out-of-class contexts, either as a complement to the learning in formal classrooms or as an alternative that can be used by learners to pursue personal learning goals. This study identified a significant gap in the literature concerning children's use of digital technology to…
Descriptors: Secondary School Students, After School Programs, STEM Education, Educational Technology
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Shannon L. Cooper; Scott E. Renshaw – International Journal of Designs for Learning, 2023
For many instructional designers (ID), subject matter experts (SMEs) are viewed as a necessary evil. Depending upon their day job, SMEs can be challenging to work with due to their schedules and responsibilities outside the ID's project. They can be unaware of the eLearning process, learning models and theories, and expensive -- a SME can easily…
Descriptors: Instructional Design, Expertise, Intellectual Disciplines, Medical Students
Julie Cohen; Vivian C. Wong; Anandita Krishnamachari; Steffen Erickson – Grantee Submission, 2023
Many novice teachers learn to teach "on the job," leading to burnout and attrition among teachers and negative outcomes for students in the long term. Preservice teacher education is tasked with optimizing teacher readiness, but there is a lack of causal evidence regarding effective ways to prepare new teachers. In this paper, we use a…
Descriptors: Preservice Teacher Education, Preservice Teachers, Teacher Education Programs, Coaching (Performance)
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Veroniki, Areti Angeliki; Jackson, Dan; Bender, Ralf; Kuss, Oliver; Langan, Dean; Higgins, Julian P. T.; Knapp, Guido; Salanti, Georgia – Research Synthesis Methods, 2019
Meta-analyses are an important tool within systematic reviews to estimate the overall effect size and its confidence interval for an outcome of interest. If heterogeneity between the results of the relevant studies is anticipated, then a random-effects model is often preferred for analysis. In this model, a prediction interval for the true effect…
Descriptors: Meta Analysis, Effect Size, Simulation, Comparative Analysis
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Sünbül, Seçil Ömür – International Journal of Progressive Education, 2019
In this study, it is aimed to investigate the effects of various factors on the performance of the methods used in the determination of differential item functioning (DIF) in the DINA model included in the Cognitive Diagnosis Models. The current study is limited with Logistic Regression and Wald test methods which were used to determine the…
Descriptors: Test Bias, Models, Correlation, Probability
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Olvera Astivia, Oscar L.; Zumbo, Bruno D. – Measurement: Interdisciplinary Research and Perspectives, 2019
Methods to generate random correlation matrices have been proposed in the literature, but very few instances exist where these correlation matrices are structured or where the statistical properties of the algorithms are known. By relying on the tetrad relation discovered by Spearman and the properties of the beta distribution, an algorithm is…
Descriptors: Correlation, Psychometrics, Benchmarking, Evaluation Methods
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Meyer, Joerg – Teaching Statistics: An International Journal for Teachers, 2019
A formula is derived for a 'two-dice horse race', in which two ordinary dice are thrown repeatedly and each time the sum of the scores determines which horse (numbered 2 to 12) moves forward one space. This paper answers a question posed in a former "Teaching Statistics" article, and demonstrates the value of simulation.
Descriptors: Statistics, Probability, Mathematical Formulas, Educational Games
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Wind, Stefanie A.; Sebok-Syer, Stefanie S. – Journal of Educational Measurement, 2019
When practitioners use modern measurement models to evaluate rating quality, they commonly examine rater fit statistics that summarize how well each rater's ratings fit the expectations of the measurement model. Essentially, this approach involves examining the unexpected ratings that each misfitting rater assigned (i.e., carrying out analyses of…
Descriptors: Measurement, Models, Evaluators, Simulation
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Hsing-Ying Tu; Silvia Wen-Yu Lee – Journal of Educational Computing Research, 2025
Learning in a virtual environment has been found to foster students' affective responses, indicating the importance of exploring the factors which affect students' learning when engaged in a virtual game. This study aimed to explore the relationships among students' epistemic curiosity, situational interest, and learning engagement in an…
Descriptors: Personality Traits, Student Interests, Learner Engagement, Computer Simulation
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Melanie B. Berkmen; Melisa Balla; Mikayla T. Cavanaugh; Isabel N. Smith; Misael Eduardo Flores-Artica; Abby M. Thornhill; Julia C. Lockart; Celeste N. Peterson – Biochemistry and Molecular Biology Education, 2025
Biochemistry and molecular biology students are asked to understand and analyze the structures of small molecules and complex three-dimensional (3D) macromolecules. However, most tools to help students learn molecular visualization skills are limited to two-dimensional (2D) images on screens and in textbooks. The virtual reality (VR) App Nanome,…
Descriptors: Technology Uses in Education, Computer Simulation, Computer Oriented Programs, Science Instruction
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Sophia Rapti; Theodosios Sapounidis; Sokratis Tselegkaridis – Early Childhood Education Journal, 2025
Recent developments in technology have introduced new tools, such as virtual reality, into the learning process. Although virtual reality appears to be a promising technology for education and has been adopted by a few schools worldwide, we still do not know students' and educators' opinions, preferences, and challenges with it, particularly in…
Descriptors: Student Attitudes, Teacher Attitudes, Computer Simulation, Preschool Teachers
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Bunari; Isjoni; Asyrul Fikri; Yuliska – Journal of Education and Learning (EduLearn), 2025
This research aims to investigate the impact of using augmented reality (AR) at Muara Takus Temple as a source of history learning for students' historical understanding. Experimental research methods were involved in this research. 88 secondary school students were used as samples. They were split into two groups, the experimental group and the…
Descriptors: Foreign Countries, Secondary School Students, Place Based Education, History Instruction
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Selvakumar Silaiyappan; Sivakumar Palaniyandi – Journal of Learning for Development, 2025
This study aims to identify emerging trends in immersive learning research in teacher education in order to provide researchers with insights into research themes and issues for further exploration. Specifically, the researchers scrutinised the research methods, research outcomes, and technologies employed in immersive learning research in teacher…
Descriptors: Literature Reviews, Teacher Education, Preservice Teachers, Educational Research
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Panpan Yang; Wenlan Zhang – Innovation in Language Learning and Teaching, 2025
Augmented reality (AR) is an immersive, interactive, and engaging advanced information technology and it is widely used in language learning. Although several studies have evaluated the effectiveness of AR in EFL learners' language gains, these research findings are inconsistent. Therefore, this study conducted a meta-analysis to analyze to what…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, English (Second Language)
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Verónica Marín; Begoña E. Sampedro; Marina Morales-Diaz – Journal of New Approaches in Educational Research, 2025
When talking about digital resources in secondary education classrooms in the 21st Century, we must mention tools such as Mixed Reality (MR). However, we must not only have in mind the perspective and training of teachers on their use, but we must consider that the ecologies of the classroom are becoming increasingly diverse, thus demanding an…
Descriptors: Secondary School Teachers, Teacher Attitudes, Foreign Countries, Faculty Development
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