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Brendan Sheran; Ashley Carey; Jack Schneider; Rebecca Woodland; Kathryn McDermott – Phi Delta Kappan, 2024
Dialogue, listening, and compromise are essential elements of living in a democracy. In a highly partisan time, is it possible to reestablish common ground when it comes to how best to educate our children in and for democracy? Authors Brendan Sheran, Ashley Carey, Jack Schneider, Rebecca Woodland, and Kathryn McDermott, who are affiliated with…
Descriptors: Educational Policy, Citizen Participation, Models, Public Opinion
Ting Wu; Fei Hao – Interactive Learning Environments, 2024
As an important form of education in the future, Edu-Metaverse cannot only innovate the existing teaching mode, provide diversified teaching resources and environments, realize intelligent teaching evaluation and certification methods, etc., but also realize the real integration of people's physical world and virtual world. Therefore, how to…
Descriptors: Computer Simulation, Educational Innovation, Educational Change, Technology Uses in Education
Xinnan Zhao; Fengnian Wang – Discover Education, 2024
Technological Pedagogical Content Knowledge (TPACK) is a theoretical framework used to assess information teaching. However, its application and popularity in practice is limited due to usability and accuracy issues. This study presents a quantitative model called TPACK-Venn, which is based on the graphical calculation of a Venn diagram determined…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Visual Aids, Computation
Ulrike Padó; Yunus Eryilmaz; Larissa Kirschner – International Journal of Artificial Intelligence in Education, 2024
Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are three challenges for their broad-scale adoption: A technical challenge regarding the need for high-quality models, which is exacerbated for languages with fewer resources than English; a usability…
Descriptors: Grading, Automation, Test Format, Computer Assisted Testing
A Systematic Review of VR/AR Applications in Vocational Education: Models, Affects, and Performances
Yingjie Liu; Qinglong Zhan; Wenping Zhao – Interactive Learning Environments, 2024
This paper presents a systematic review of the application models, affects, and performance outcomes of VR/AR in vocational education. The analysis is based on journal articles retrieved from renowned databases such as Web of Science, Scopus, and EBSCO, spanning from January 2000 to January 2022. It highlights the pedagogical value of VR/AR in…
Descriptors: Computer Simulation, Artificial Intelligence, Vocational Education, Technology Uses in Education
Sara Werner Juárez; Alicia Brown Becton – Action in Teacher Education, 2024
As a result of stress, burnout, and attrition, the U.S. has perpetual teacher shortages. While systemic changes are necessary to improve the field of education, teaching as a helping profession is stressful, with multiple job responsibilities and roles. In addition to work-related stress and burnout, teachers are also affected by compassion…
Descriptors: Daily Living Skills, Teacher Burnout, Altruism, Fatigue (Biology)
David R. Peterson; Marshall W. Pattie – Creativity Research Journal, 2024
The Dual Pathway to Creativity Model theorizes that creative performance arises from cognitive flexibility, persistence, or a combination of the two. Existing research has only examined these pathways independently, limiting our understanding of the model and of how people generate ideas. We extend the DPCM model by predicting that creative output…
Descriptors: Creative Thinking, Concept Formation, Models, Persistence
Nicholas Charlton; Richard Newsham-West – Higher Education Research and Development, 2024
Program-level assessment is a holistic approach for arranging assessments throughout a degree program that supports sequential development of discipline knowledge, transferable skills and career readiness. Currently, the modular arrangement of courses means that student learning is partial, limited to passing the assessment and compartmentalized…
Descriptors: Models, Program Evaluation, Holistic Approach, Higher Education
Erin Turner; Julia Aguirre; Mary Alice Carlson; Jennifer Suh; Elizabeth Fulton – ZDM: Mathematics Education, 2024
Mathematical modeling (MM) -- a cyclical process that involves using mathematics to make-sense of and analyze relevant, real-world situations -- has the potential to advance equity and challenge spaces of marginalization in the elementary mathematics classroom. When informed by culturally responsive teaching practices, MM creates opportunities to…
Descriptors: Mathematical Models, Mathematics Instruction, Culturally Relevant Education, Elementary School Teachers
Sílvia Barros; Vera Coelho; Olga Wyslowska; Efthymia Penderi; Helena Taelman; Sara Barros Araújo; Nadine Correia; Urszula Markowska-Manista; Konstantinos Petrogiannis; Anneleen Boderé; Manuela Pessanha; Cristiana Guimarães; Cecília Aguiar – Early Education and Development, 2024
Participation in educational settings is a universal right of every child, consigned by the United Nations Convention on the Rights of the Child. This right encompasses the need to protect and encourage young children's active participation and decision-making in early childhood education and care. Research Findings: This qualitative study,…
Descriptors: Foreign Countries, Early Childhood Education, Childrens Rights, Children
Sarah Depaoli; Sonja D. Winter; Haiyan Liu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We extended current knowledge by examining the performance of several Bayesian model fit and comparison indices through a simulation study using the confirmatory factor analysis. Our goal was to determine whether commonly implemented Bayesian indices can detect specification errors. Specifically, we wanted to uncover any differences in detecting…
Descriptors: Structural Equation Models, Bayesian Statistics, Comparative Testing, Evaluation Utilization
Zsuzsa Bakk – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A standard assumption of latent class (LC) analysis is conditional independence, that is the items of the LC are independent of the covariates given the LCs. Several approaches have been proposed for identifying violations of this assumption. The recently proposed likelihood ratio approach is compared to residual statistics (bivariate residuals…
Descriptors: Goodness of Fit, Error of Measurement, Comparative Analysis, Models
Any Fatmawati; Siti Zubaidah; Susriyati Mahanal; Sutopo Sutopo; Muhammad Roil Bilad; Masitah Shahrill – Pegem Journal of Education and Instruction, 2024
One of the essential goals of science learning is to lead students to master scientific concepts or ideas and apply them to explain relevant everyday phenomena. Such mastery should help students to work with various representations. The objective of this study was to determine the effectiveness of the Learning Cycle Multiple Representation (LCMR)…
Descriptors: Preservice Teacher Education, Preservice Teachers, Plants (Botany), Scientific Concepts
Causes of Nonlinear Metrics in Item Response Theory Models and Implications for Educational Research
Xiangyi Liao – ProQuest LLC, 2024
Educational research outcomes frequently rely on an assumption that measurement metrics have interval-level properties. While most investigators know enough to be suspicious of interval-level claims, and in some cases even question their findings given such doubts, there is a lack of understanding regarding the measurement conditions that create…
Descriptors: Item Response Theory, Educational Research, Measurement, Evaluation Methods
Tsubasa Minematsu; Atsushi Shimada – International Association for Development of the Information Society, 2024
In using large language models (LLMs) for education, such as distractors in multiple-choice questions and learning by teaching, error-containing content is used. Prompt tuning and retraining LLMs are possible ways of having LLMs generate error-containing sentences in the learning content. However, there needs to be more discussion on how to tune…
Descriptors: Educational Technology, Technology Uses in Education, Error Patterns, Sentences

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