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Magid Aldekhan; Shirley O'Neill – Eurasian Journal of Applied Linguistics, 2024
As a kind of indirect and coded language, metonymy not only inspires others but also helps one to reach goals set by cultural standards, society values, practices, and beliefs. Metonymy's rhetorical power comes from its ability to change meaning from a literal interpretation to an intended conceptual message, therefore enabling communication both…
Descriptors: English, Arabic, Semantics, Contrastive Linguistics
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Jorge López González; Jesús Manuel Martínez; Maven Lomboy; Luis Expósito – Cogent Education, 2024
This article examines the relationship between emotional intelligence and ethical leadership competencies among university students. The research hypothesis was that emotional intelligence correlates positively with the exercise of good leadership. To this aim, a study was carried out with 1101 university students from Chile, Mexico and Spain who…
Descriptors: Emotional Intelligence, Leadership Qualities, Competence, College Students
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Xiaoxuan Fang; Davy Tsz Kit Ng; Jac Ka Lok Leung; Huixuan Xu – Interactive Learning Environments, 2024
The Attention, Relevance, Confidence, and Satisfaction or ARCS model is an effective motivational model that has been widely accepted by education practitioners. Literature on the ARCS model has focused primarily on aspects of educational settings, research methods, and outcomes. However, few studies have addressed the applications of the ARCS…
Descriptors: Attention, Relevance (Education), Self Esteem, Student Satisfaction
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Hyemin Yoon; HyunJin Kim; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
We have maintained the customer grade system that is being implemented to customers with excellent performance through customer segmentation for years. Currently, financial institutions that operate the customer grade system provide similar services based on the score calculation criteria, but the score calculation criteria vary from the financial…
Descriptors: Classification, Artificial Intelligence, Prediction, Decision Making
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Mona Tabatabaee-Yazdi – Interactive Learning Environments, 2024
In the era of COVID-19 and right after the announcement of it as a pandemic and threat to humanity by the World Health Organization, most educational activities were globally forced to shut down their traditional teaching/learning activities. This is one of the biggest and most vital changes of educational settings which have led to migration to…
Descriptors: English (Second Language), Second Language Instruction, COVID-19, Pandemics
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Etan Cohen – Discourse: Studies in the Cultural Politics of Education, 2024
The neoliberal turn has driven attempts to marketize education, but how does marketization occur? In this article I draw on ethnographic and linguistic-ethnographic methods to investigate marketization through a microanalytic lens. My investigation focuses on a team of educational professionals, who participated in a workshop led by an…
Descriptors: Neoliberalism, Marketing, Discourse Analysis, Ethnography
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Ha-Joon Chung; Guanglei Hong – Society for Research on Educational Effectiveness, 2024
Context: Prolonged disconnection from school and work represents major setbacks during the transition to adulthood and is a distinct feature of the developmental trajectories of many disadvantaged youths, especially those from a marginalized racial background (Hong and Chung 2022; Shanahan 2000). Differential schooling experiences are hypothesized…
Descriptors: Education Work Relationship, Racism, Disadvantaged, Student School Relationship
Kelly Mills; Pati Ruiz; Keun-woo Lee; Merijke Coenraad; Judi Fusco; Jeremy Roschelle; Josh Weisgrau – Digital Promise, 2024
To enable all who participate in educational settings to leverage AI tools for powerful learning, this paper describes a framework and strategies for educational leaders to design and implement a clear approach to AI literacy for their specific audiences (e.g. learners, teachers, or others) that are safe and effective. The first part of the paper…
Descriptors: Artificial Intelligence, Technological Literacy, Models, Technology Integration
Sierra Noakes; Alison Shell; Alexis M. Murillo; Parker Van Nostrand; Pati Ruiz; Shayla Cornick; Sana Karim – Digital Promise, 2024
This report shares the learnings across 28 exploratory projects from teams across K-12 school districts, nonprofits, and nonprofit and for-profit edtech companies, leveraging AI to support numerous goals across K-12 educational settings. Through this report, we aim to highlight the early successes of AI, surface the key barriers that call for…
Descriptors: Ethics, Equal Education, Artificial Intelligence, Technology Uses in Education
Jennifer Stiddard; Lindsey Reichlin Cruse – National Skills Coalition, 2024
Increasingly, people are looking for education and training options that are more affordable, flexible, can quickly open doors to good jobs, and--ideally--pave the way for further educational attainment. Businesses also want to hire workers with the skills needed for jobs in growing industries. Non-degree credentials (NDCs) can often meet these…
Descriptors: State Aid, Student Financial Aid, Credentials, Models
Blake H. Heller; Carly D. Robinson – Annenberg Institute for School Reform at Brown University, 2024
Quasi-experimental methods are a cornerstone of applied social science, providing critical answers to causal questions that inform policy and practice. Although open science principles have influenced experimental research norms across the social sciences, these practices are rarely implemented in quasi-experimental research. In this paper, we…
Descriptors: Social Science Research, Research Methodology, Quasiexperimental Design, Scientific Principles
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Elizabeth S. Park; Di Xu – Journal of Research on Educational Effectiveness, 2024
Growing literature documents the promise of active learning instruction in engaging students in college classrooms. Accordingly, faculty professional development (PD) programs on active learning have become increasingly popular in postsecondary institutions; yet, quantitative evidence on the effectiveness of these programs is limited. Using…
Descriptors: Active Learning, Learner Engagement, College Faculty, Faculty Development
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Ram B. Basnet; David J. Lemay; Paul Bazelais – Knowledge Management & E-Learning, 2024
Academic and practitioner interest in data science has increased considerably. Yet scholarly understanding of what motivates students to learn data science is still limited. Drawing on the theory of planned behavior, we propose a research model to examine the determinants of behavioral intentions to learn data science. In the proposed research…
Descriptors: Student Attitudes, Intention, Data Science, Statistics Education
Christopher Martin Amissah – ProQuest LLC, 2024
Measurement of latent constructs is one of the most challenging tasks in psychological research. Unlike physical variables, latent constructs are not directly observable but are inferred through individuals' responses to a set of items often referred to as measurement instruments, tests, surveys, or assessments. For decades, exploratory factor…
Descriptors: Models, Psychological Studies, Replication (Evaluation), Factor Analysis
Christina R. Arriagada – ProQuest LLC, 2024
The purpose of this qualitative study was to explore how early childhood educators perceive the use of Modern Classrooms Project (MCP) in their classrooms. MCP is an instructional model that promotes blended, self-paced, and mastery-based learning with ties to constructivist teaching ideals. Data were collected using a teacher interview,…
Descriptors: Early Childhood Education, Early Childhood Teachers, Teacher Attitudes, Beliefs
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