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Stephanie Owen; Derek Rury – Annenberg Institute for School Reform at Brown University, 2025
Implicit stereotypes about gender and STEM may unconsciously shape students' academic choices and contribute to gender gaps in major choice, but there is limited economic evidence on this channel. To study this relationship, we administer a gender-science Implicit Association Test (IAT) to a sample of primarily first-semester undergraduates, and…
Descriptors: Sex Stereotypes, STEM Education, Predictor Variables, Gender Differences
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Kun Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study investigates the development and implementation of a big data-driven English ecological classroom teaching model, aiming to reform university English instruction in alignment with contemporary technological advancements. The conventional teaching framework, often limited to textbooks and in-class activities, has been shown to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learner Engagement
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Amir Khalighi; Wittney Jones; Linda Mast; Rodney McCurdy; Rene Geschke; Julie Miller; Shabnam Kouhestani – Journal of Online Graduate Education, 2025
In the United States, 385,000 healthcare staff experience sharps injuries annually, costing the healthcare system over one billion dollars. Double-gloving can reduce perforations by up to 71-85%. The problem is that healthcare personnel often do not utilize double-gloving. This study was performed to identify the perceptions, perceived barriers,…
Descriptors: Nursing Education, Student Attitudes, Injuries, Prevention
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Eduardo Real; Edson Pimentel – Technology, Knowledge and Learning, 2025
In Virtual Learning Environments (VLEs), teachers usually organize the sequence of course contents and activities according to their didactic-pedagogical strategies, expecting to guide each student in his learning path. However, usually, each student follows a specific path based on his actions. VLEs typically record student interaction with…
Descriptors: Models, Electronic Learning, Interaction, Student Behavior
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Nani Hartini; Eka Prihatin; Yayah Rahyasih; Endang Herawan; Nurdin; Destisari Nurbani; Sarah Dzakirah; Song Jiayin – Educational Process: International Journal, 2025
Purpose: This study aims to describe how automation works in microteaching evaluation by an Artificial Intelligence (AI)-based application through video analysis. Background: The rapid integration of Artificial Intelligence (AI) into education has transformed assessment and teacher training practices. However, most existing AI applications in…
Descriptors: Artificial Intelligence, Microteaching, Automation, Teacher Evaluation
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Pastore, A.; Romero, A. M.; Diget, C.; Rios, A.; Leech, K.; Stokoe, P. – Physics Education, 2021
We present a simple activity based on the liquid-drop model which allows secondary school students to explore the uses of mathematical models and gain an intuitive understanding of the concept of binding energy, and in particular the significance of positive binding energy. Using spreadsheets provided as supplementary material, students can…
Descriptors: Science Instruction, Energy, Computer Uses in Education, Teaching Methods
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Kathryn L. Kirchgasler – Science Education, 2026
Attending to the affect of minoritized students now appears crucial to promoting just and dignity-affirming science education. Yet, elevating affect as an objective of science learning has a history that predates equity reforms. This study explores the politics of scientific uptakes of affect that have long served to mark hierarchical differences…
Descriptors: Science Education, Power Structure, Politics of Education, Minority Group Students
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Hussain, Sadiq; Gaftandzhieva, Silvia; Maniruzzaman, Md.; Doneva, Rositsa; Muhsin, Zahraa Fadhil – Education and Information Technologies, 2021
Educational data mining helps the educational institutions to perform effectively and efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students, develop recommendation systems and alert the students at different levels. It is beneficial to the students, educators and authorities as a whole. Deep learning…
Descriptors: Regression (Statistics), Academic Achievement, Learning Analytics, Models
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Nandy, Monomita; Lodh, Suman; Tang, Audrey – Industry and Higher Education, 2021
In this article the authors first highlight major challenges that higher education institutions (HEIs) are facing during the COVID-19 pandemic. They then consider the challenges HEIs should expect in the post-COVID period. In practice, HEIs are keen to maintain their core activities during the pandemic and in this context the authors examine how…
Descriptors: COVID-19, Pandemics, Resilience (Psychology), Models
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Altena, Allard J.; Spijker, René; Leeflang, Mariska M. G.; Olabarriaga, Sílvia Delgado – Research Synthesis Methods, 2021
When performing a systematic review, researchers screen the articles retrieved after a broad search strategy one by one, which is time-consuming. Computerised support of this screening process has been applied with varying success. This is partly due to the dependency on large amounts of data to develop models that predict inclusion. In this…
Descriptors: Screening Tests, Automation, Diagnostic Tests, Models
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Leysen, Joyce; Jacobs, Delphine; Ramaekers, Stefan – Educational Theory, 2021
The biomedical model states that autism "is" a neurodevelopmental disorder, called autism spectrum disorder (ASD). In this article, Joyce Leysen, Delphine Jacobs, and Stefan Ramaekers argue that this is a narrow way of looking at autism and, further, that the biomedical view has implications for our understanding of parenthood and…
Descriptors: Autism, Pervasive Developmental Disorders, Biomedicine, Models
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Bueckmann-Diegoli, Rafaela; García de los Salmones Sánchez, María del Mar; San Martín Gutiérrez, Héctor – Education & Training, 2021
Purpose: The main goal of this work is to argue the theoretical validity of two competitive models that integrate entrepreneurial alertness in the Theory of Planned Behavior (TPB), and also to propose an explanation for the conceptual approach with a higher explicative ability. Design/Methodology/Approach: A total of 281 undergraduate students…
Descriptors: Entrepreneurship, Undergraduate Students, Behavior Theories, Models
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Shea, John – Education, 2021
This article is a paradigm of full human development that is holistic, inherently relational, and morally mature. Integrity and mutuality, foundationally human as a process-paradox (each characteristic unique yet evolving together) is the essence of the fully human. Care and justice together, foundationally human as a process-paradox, is integrity…
Descriptors: Individual Development, Caring, Justice, Peace
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Schmidt, Casey – Music Educators Journal, 2021
This article suggests pathways for supporting habits of creativity and the development of creative mindsets in performance-ensemble learning spaces. The Wallas model of creative thought is used to frame the concept of creative musical mindsets. The author reflects on the assumptions and principles outlined in the stages of this influential model…
Descriptors: Music Education, Music Activities, Creativity, Skill Development
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Sun, Yikang; Lin, Po-Hsien; Lin, Rungtai – Education Sciences, 2021
The purpose of this research is to: (1) clarify the scope and connotation of the OPOP (One Product/Project/Performance, One Paper) model comprehensively; (2) show its application in design and creative teaching; (3) introduce this model to more people. First, the author reviews the design doctoral education system and its shortcomings and analyzes…
Descriptors: Design, Doctoral Programs, Masters Programs, Teaching Models
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