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Rhonda Bondie; Elizabeth City – Learning Professional, 2024
New questions and concerns arise every day about the impact of AI in schools, such as how teachers will learn about AI and leverage it in their classrooms, how they can use it to develop their own teaching expertise, and if AI for educators really leads to better teaching and learning. The authors believe that AI can help teachers become more…
Descriptors: Preservice Teacher Education, Artificial Intelligence, Computer Simulation, Microteaching
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Vakkas Yalçin – Science & Education, 2024
Given early childhood is a critical period for acquiring the twenty-first-century skills, the present study aimed to examine the effect of design-oriented STEM activities on the twenty-first-century skills of preschool children in line with the experimental design. A mixed factorial analysis of variance (ANOVA) of 3 (time: pre-test, post-test and…
Descriptors: STEM Education, 21st Century Skills, Preschool Education, Preschool Children
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Tori K. Flint; Marietta S. Adams – Early Childhood Education Journal, 2024
In order to create and foster learning spaces that build upon children's knowledge and experiences, we must respect and value their ways of knowing and being, including their play. Accordingly, this study highlights the ways that young children (re)imagined spaces, materials, and identities through their digital play in an analog (containing no…
Descriptors: Preschool Children, Play, Imagination, Learning Processes
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Elsa Raynal; Kate Schipper; Catherine Brandner; Paolo Ruggeri; Jérôme Barral – npj Science of Learning, 2024
Associative learning abilities vary considerably among individuals, with attentional processes suggested to play a role in these variations. However, the relationship between attentional processes and individual differences in associative learning remains unclear, and whether these variations reflect in event-related potentials (ERPs) is unknown.…
Descriptors: Associative Learning, Attention, Cognitive Processes, Individual Differences
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Wenbin Zhou; Wenya Nan; Kaiwen Xiong; Yixuan Ku – npj Science of Learning, 2024
Neurofeedback (NF) training is a closed-loop brain training in which participants learn to regulate their neural activation. NF training of alpha (8-12 Hz) activity has been reported to enhance working memory capacity, but whether it affects the precision in working memory has not yet been explored. Moreover, whether NF training distinctively…
Descriptors: Participation, Short Term Memory, Visual Learning, Visual Stimuli
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Bimal Aklesh Kumar; Sailesh Saras Chand – Interactive Technology and Smart Education, 2024
Purpose: Usability is one of the key concerns in the development of mobile learning applications. The aim of this paper is to design and validate a usability evaluation questionnaire (UEQ) for mobile learning applications. Design/methodology/approach: The UEQ was developed in four stages: selecting primary studies and extracting usability…
Descriptors: Questionnaires, Design, Usability, Electronic Learning
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Sara C. Diaz de Villegas; Claudia L. Dozier; Ky C. Kanaman; Stacha C. Leslie; Marissa E. Kamlowsky – Journal of Applied Behavior Analysis, 2024
In synchronous-reinforcement schedules, the duration of behavior directly controls the duration of reinforcement on a moment-to-moment basis. We replicated and extended Diaz de Villegas et al. (2020) by comparing the effects of synchronous reinforcement with two accumulated-reinforcement schedules for increasing on-task behavior for seven…
Descriptors: Preschool Children, Time on Task, Reinforcement, Time Factors (Learning)
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Suzanne Lightsey; Michele Dill; Madison Temples; Taylor Yeater; Sarah Furtney – Biomedical Engineering Education, 2024
Hands-on laboratory courses seldom appear in biomedical engineering (BME) graduate programs, thus limiting graduate students' ability to acquire wet laboratory skills like cell culturing. At large, BME graduate programs rely on ad hoc training provided by senior graduate students; however, this method cannot be extended to new or non-BME…
Descriptors: Graduate Students, Engineering Education, Biomedicine, Cooperative Learning
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Kristin Bracewell; Irene Sheridan; Stephen Cassidy – International Journal of Work-Integrated Learning, 2024
Work-integrated learning (WIL) has been suggested as a potentially beneficial addition to modern doctoral education. However, there is little research outlining the specificities of WIL aimed at PhD students. This paper explores the range of WIL opportunities available to PhD students through a review of secondary data. The findings indicate that…
Descriptors: Work Experience Programs, Doctoral Students, Experiential Learning, Doctoral Programs
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Ashley Chen; Suchita E. Kumar; Rhea Varkhedi; Dillon H. Murphy – Educational Psychology Review, 2024
In the modern age, we often consume content at faster than its normal speed. Prior research suggests that watching lecture videos at speeds up to 2x does not significantly affect performance, but the mechanisms by which comprehension is preserved at faster playback speeds are not fully understood. Therefore, we sought to investigate whether there…
Descriptors: Audiovisual Aids, Audio Equipment, Time, Performance
Dawn M. Lombardi – ProQuest LLC, 2024
Calls for research in multimodality and multiliteracies have provided the field of writing studies with theories and outcomes suggesting that more research is necessary in FYC students' multimodal composing processes and literacy practices. Much of the research in New Literacies Studies (NLS) focuses on students' final products. This dissertation…
Descriptors: Multiple Literacies, Freshman Composition, Multimedia Materials, College Freshmen
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Li Chen; Gen Li; Boxuan Ma; Cheng Tang; Masanori Yamada – International Association for Development of the Information Society, 2024
This paper proposes a three-step approach to develop knowledge graphs that integrate textbook-based target knowledge graph with student dialogue-based knowledge graphs. The study was conducted in seventh-grade STEM classes, following a collaborative problem solving process. First, the proposed approach generates a comprehensive target knowledge…
Descriptors: Concept Mapping, Graphs, Cooperative Learning, Problem Solving
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Anastasia Efklides; Bennett L. Schwartz – Educational Psychology Review, 2024
Efklides and colleagues developed the Metacognitive and Affective model of Self-Regulated Learning (MASRL) to provide a comprehensive theoretical framework of self-regulated learning (SRL). The distinguishing feature of MASRL is that it stresses metacognitive experiences and other subjective experiences (e.g., motivational, affective) as critical…
Descriptors: Metacognition, Self Management, Learning Strategies, Models
Carol Williams – ProQuest LLC, 2024
The stress and burnout of teachers before, during, and after the COVID-19 pandemic led to the need for additional social-emotional learning (SEL) support. While there is evidence of SEL support for students, this study specifically examined the design and implementation of social-emotional learning support for teachers to improve their morale…
Descriptors: Social Emotional Learning, Capacity Building, Morale, Middle School Teachers
Deven Carlson; Adam Shepardson – Annenberg Institute for School Reform at Brown University, 2024
As students are exposed to extreme temperatures with ever-increasing frequency, it is important to understand how such exposure affects student learning. In this paper we draw upon detailed student achievement data, combined with high-resolution weather records, to paint a clear portrait of the effect of temperature on student learning across a…
Descriptors: Weather, Climate, Heat, Academic Achievement
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