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Wendelynn McPherson – ProQuest LLC, 2021
The purpose of this non-experimental, quantitative study was to examine to what degree 12 self-reported leadership behaviors were associated with and predictive of school grades in the state of Florida. The study participant sample was exclusively comprised of educational leaders from elementary schools located in Florida. In this descriptive…
Descriptors: Grades (Scholastic), Leadership Styles, Elementary Schools, Elementary School Students
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Skrifvars, Jenny; Antfolk, Jan; van Veldhuizen, Tanja; Sui, Veronica; Korkman, Julia – Applied Cognitive Psychology, 2022
Previous research has indicated that asylum interviewers--contrary to recommendations--use more closed than open questions to elicit information. In the current study, we investigated how information is elicited in asylum interviews by analyzing question-answer pairs in 105 official Finnish asylum interview transcripts. We developed a new coding…
Descriptors: Interviews, Refugees, Recall (Psychology), Personal Narratives
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Biswas, Subhrajyoti – Physics Education, 2022
This article presents the study of Fourier series experimentally, using the "ExpEYES"-17 kit in a different way. This familiar undergraduate experiment has been performed for teaching online laboratory classes when face-to-face classes were not possible, due to the "COVID"-19 pandemic. We chose parabolic and sawtooth waveforms,…
Descriptors: Physics, Science Instruction, Teaching Methods, Science Experiments
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Kubik, Veit; Jemstedt, Andreas; Eshratabadi, Hassan Mahjub; Schwartz, Bennett L.; Jönsson, Fredrik U. – Metacognition and Learning, 2022
When making memory predictions (judgments of learning; JOLs), people typically underestimate the recall gain across multiple study-test cycles, termed the underconfidence-with-practice (UWP) effect. This is usually studied with verbal materials, but little is known about how people repeatedly learn and monitor their own actions and to what extent…
Descriptors: Metacognition, Prediction, Decision Making, Phrase Structure
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Bowers, Jonathan; Eidin, Emanuel; Damelin, Daniel; McIntyre, Cynthia – Science Teacher, 2022
The COVID-19 crisis has demonstrated the importance of being able to understand complex computational models for everyday life. To make sense of the evolving predictive models of the COVID-19 pandemic, global citizens need to have a firm grasp of both systems thinking (ST) and computational thinking (CT). ST is the ability to understand a problem…
Descriptors: Computation, Thinking Skills, Models, Systems Approach
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Nuankaew, Pratya; Nuankaew, Wongpanya Sararat – European Journal of Educational Research, 2022
Modern technology is necessary and important for improving the quality of education. While machine learning algorithms to support students remain limited. Thus, it is necessary to inspire educational scholars and educational technologists. This research therefore has three main targets: to educate the holistic context of rural education…
Descriptors: Grade Prediction, Academic Achievement, High School Students, Rural Schools
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Gontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
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Liu, Shifeng; Bourgeois, Florence T.; Dunn, Adam G. – Research Synthesis Methods, 2022
A substantial proportion of trial registrations are not linked to corresponding published articles, limiting analyses and new tools. Our aim was to develop a method for finding articles reporting the results of trials that are registered on ClinicalTrials.gov when they do not include metadata links. We used a set of 27,280 trial registration and…
Descriptors: Medical Research, Web Sites, Identification, Computational Linguistics
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Toma, Radu Bogdan – Research in Science Education, 2022
The lack of students interested in pursuing science, technology, engineering, and mathematics (STEM)-related careers calls for studies that identify variables affecting their career decisions. By drawing on recent conceptualizations of the cost domain first introduced in the expectancy-value theory of achievement motivations, this study…
Descriptors: Difficulty Level, Science Education, STEM Education, Prediction
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Axelrad, Hila; Drizin, Rima; Malul, Miki; Rosenboim, Mosi – International Journal of School & Educational Psychology, 2022
Outstanding high-school students in Israel are presented with the option of postponing their mandatory military service to pursue academic studies. The current paper focuses on female students aged 16-18 who are faced with this option, and compares those who are motivated to pursue academic studies to those who are more inclined to join the army…
Descriptors: Futures (of Society), Prediction, Learning Motivation, High School Students
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Sette, Stefania; Zava, Federica; Baumgartner, Emma; Laghi, Fiorenzo; Coplan, Robert J. – Early Education and Development, 2022
Research Findings: The goal of this study was to investigate the role of play behaviors in the links between child shyness and teacher-child relationship quality in preschool. Participants were 212 (102 girls) young children (M = 58.32 months, SD = 10.72) recruited from 10 classrooms in three preschools in central Italy. Parents evaluated…
Descriptors: Play, Student Behavior, Shyness, Teacher Student Relationship
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Collins, Josephine; Murphy, Glynis H. – Journal of Applied Research in Intellectual Disabilities, 2022
Background: The abuse of adults with intellectual and developmental disabilities in care services seems to be relatively common, although there are anecdotal suggestions that abuse may be predictable and preventable. Method: Evidence related to how abuse is detected and prevented within services was reviewed. Database and ancestry searches were…
Descriptors: Identification, Prevention, Antisocial Behavior, Adults
Sanders, William Richard, III – ProQuest LLC, 2022
Lecture capture technology has quickly become a common component in many classrooms and lecture halls on college campuses across the world. This quantitative study aimed to identify the effects of lecture capture and student engagement on student performance in a school of pharmacy. Student performance for this study was measured by the end of a…
Descriptors: Lecture Method, Video Technology, Learner Engagement, Tests
Chiotu, Maria Nnachebe – ProQuest LLC, 2022
This quantitative correlational predictive study aimed to determine the extent Herzberg's motivator and hygiene factors predict intent to remain in academia among Master of Science in Nursing-degreed part-time nursing faculty in the United States. The theoretical framework for this study included Herzberg's theory of motivator and hygiene factors.…
Descriptors: College Faculty, Nursing Education, Masters Degrees, Part Time Faculty
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Swai, Carina Titus; Mangowi, Steven Edward – International Journal of Information and Learning Technology, 2022
Purpose: The general goal of this paper is to help educators understand the importance of MOOC training to school teachers and their hypothetical value for predicting the use of teaching strategies in the face-to face-classroom teaching. With this purpose, the study is guided by two research questions: (1) Are there different patterns of…
Descriptors: Teacher Attitudes, Preferences, Teaching Methods, Conventional Instruction
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