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Kyle R. Loggins – ProQuest LLC, 2024
Each year excessive alcohol use costs the United States (US) economy $250 billion and results in 95,000 deaths. Binge drinking is a form of excessive alcohol use and accounts for over 70% of these statistics. High-intensity drinking (HID), an extreme measure of binge drinking, is operationally defined as drinking twice the gender-specific binge…
Descriptors: Health Behavior, Alcohol Abuse, Team Sports, College Athletics
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Hanifi Parlar; Muhammet Emin Turkoglu; Ramazan Cansoy – International Journal of Leadership in Education, 2024
The purpose of this study was to examine the relationship between school principals' instructional leadership and collaborative culture in schools. The study was conducted using a cross-sectional survey with a sample of 382 teachers. The data were collected through the Principal Instructional Management Rating Scale (PIMRS) and the School Culture…
Descriptors: Instructional Leadership, Prediction, School Culture, Educational Cooperation
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Jonathan Kasler; Ofra Walter; Maurice J. Elias – Journal of American College Health, 2024
Objectives: The present research had two main objectives. The first was to examine the impact of emotional intelligence and aspects of spiritual intelligence on life satisfaction among emerging adults in high-income countries. The second objective was to study the interactions between the variables. Methods: First, we used predictive analysis to…
Descriptors: Life Satisfaction, Young Adults, Spiritual Development, Emotional Intelligence
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Anastasia Michalopoulou; Sonia Kafoussi – International Electronic Journal of Mathematics Education, 2024
This paper argues that engaging students in informal statistical reasoning from early school years is essential for the development of statistical understanding. We investigated if and how children aged six-seven years old identified variation in a table of data and made predictions through the design of a teaching experiment. The classroom…
Descriptors: Statistics, Thinking Skills, Grade 1, Elementary School Students
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Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction
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Judy Goldenberg – Teacher Development, 2024
Classroom teaching is a demanding and arduous profession, requiring teachers to have a suitable personality to succeed and persevere. However, academic institutions usually determine acceptance based solely on cognitive test scores, despite research indicating the added value of personality measures. This study presents the MESILA personality…
Descriptors: Teacher Education, Educational Research, Prediction, Alternative Assessment
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Carlos Valiente-Barroso; Marta Arguedas-Morales; Rafael Marcos-Sánchez; Marta Martínez-Vicente – Electronic Journal of Research in Educational Psychology, 2024
Introduction: The objective of this study was to analyze the relationships between perceived stress, frustration tolerance, prefrontal symptomatology and attentional profile in students of secondary education. Method: The study was designed with a nonexperimental, quantitative, cross-sectional and correlational methodology, with 91 participants…
Descriptors: Symptoms (Individual Disorders), Brain Hemisphere Functions, Secondary School Students, Attention
Jessica Velez-Aviles – ProQuest LLC, 2024
In two visual world eye-tracking experiments, this dissertation examines the role of literacy on predictive processing during spoken language comprehension. Previous studies have shown that comprehenders can use morphosyntactic cues available in the input to generate predictions about upcoming information. Recent key findings also suggest that…
Descriptors: Literacy, Socioeconomic Status, Cues, Prediction
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Tal Waltzer; Celeste Pilegard; Gail D. Heyman – International Journal for Educational Integrity, 2024
The release of ChatGPT in 2022 has generated extensive speculation about how Artificial Intelligence (AI) will impact the capacity of institutions for higher learning to achieve their central missions of promoting learning and certifying knowledge. Our main questions were whether people could identify AI-generated text and whether factors such as…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, College Students
Noa Attali – ProQuest LLC, 2024
In this dissertation, I investigate how people navigate ambiguity in everyday speech, with a focus on quantifier-negation sentences. Combining corpus analysis, behavioral experiments, and computational modeling in the Rational Speech Act framework, I explore preferred interpretations of quantifier-negation and examine the contexts and prosodies…
Descriptors: Language Processing, Ambiguity (Semantics), Intonation, Suprasegmentals
Eleanor Gentry-Harris – ProQuest LLC, 2024
This paper presents a comprehensive research project aimed at investigating the transitional supports necessary for nontraditional students both prior to and following their entry into higher education. The overarching research question guiding this study is, in which states does the YouthBuild Program appear to be most effective? This research…
Descriptors: Youth, Nontraditional Students, Higher Education, School Transition
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Kedar Nepal; Ram C. Kafle – Metacognition and Learning, 2024
We collected data on students' self-assessment behavior from four sections of a Calculus II course. Students were asked to write their expected scores on each of the weekly in-class quizzes and problems in the exams, immediately after they completed them. They were then asked to justify their expectation in writing. One-on-one interviews were…
Descriptors: Undergraduate Students, Self Evaluation (Individuals), Calculus, Mathematics Instruction
Jacqueline Renee Robinson – ProQuest LLC, 2024
Worldwide, the COVID-19 pandemic and the growing reliance on technology underscored the need for K-12 teachers to be digitally competent and able to teach their students 21st century digital skills. The purpose of this quantitative correlational predictive study was to examine if and to what extent perceived usefulness of technology and perceived…
Descriptors: Prediction, 21st Century Skills, Teacher Attitudes, Rural Schools
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Yuya Asano; Diane Litman; Quentin King-Shepard; Tristan Maidment; Tyree Langley; Teresa Davison – International Educational Data Mining Society, 2024
One of the keys to the success of collaborative learning is balanced participation by all learners, but this does not always happen naturally. Pedagogical robots have the potential to facilitate balance. However, it remains unclear what participation balance robots should aim at; various metrics have been proposed, but it is still an open question…
Descriptors: Cooperative Learning, Tutoring, Artificial Intelligence, Interpersonal Relationship
Andrew Eisenlohr; Kate Kennedy; Katrina E. Bulkley; Julie A. Marsh – Educational Policy, 2024
Advocates often predict that school choice policies will expand access to high-quality schools, particularly for marginalized communities. To interrogate this assumption, we employed a sequential mixed-methods analysis examining the state of charter reform in the District of Columbia. We observed that stakeholders consistently defined equity as…
Descriptors: Equal Education, Charter Schools, Educational Change, Educational Policy
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