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Blank, Andrew; Holt, Rachael Frush – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Responsive and dynamic aspects of father-child play are associated with behavioral and neurocognitive development in children and could represent an important contributor to executive function (EF) skills for children who are deaf and hard of hearing (DHH). This study examined associations between paternal behaviors during play and EF…
Descriptors: Play, Fathers, Executive Function, Deafness
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Mulhearn, Shannon C.; Yu, Hyeonho; van der Mars, Hans; Griffo, Janelle M.; Kulinna, Pamela H. – Journal of Teaching in Physical Education, 2023
Purpose: Grounded in the behavioral ecological model, and to address a lack of park space, this study looked at community members' use of public high school physical activity (PA) facilities during nonschool hours while considering the effects of seasonality. Method: Data included 3,959 observation sweeps across 19 public high school campuses over…
Descriptors: Public Schools, High Schools, Physical Activity Level, Recreational Facilities
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Lewin, Rivian K.; Acuff, Samuel F.; Berlin, Kristoffer S.; Berman, Jeffrey S.; Murrell, Amy R. – Journal of American College Health, 2023
Objective: Graduate student mental health is a growing concern and the need for interventions is well-documented. This manuscript outlines an Acceptance and Commitment Therapy group treatment for graduate students intended to promote psychological flexibility through the cultivation of six processes: contact with the present moment (mindfulness),…
Descriptors: Group Therapy, Graduate Students, Intervention, Psychological Patterns
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Caleb Or – International Journal of Technology in Education and Science, 2023
The Unified Theory of Acceptance and Use of Technology (UTAUT) model has been widely used to explain user intention and use behavior. Past research has added attitude to the UTAUT framework to examine further how it influences technology adoption. This study utilized a combined meta-analysis and structural equation modelling [approach] to examine…
Descriptors: Meta Analysis, Technology Uses in Education, Technology Integration, Teaching Methods
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Xinyu S. Pan; Chen Li; Tyler W. Watts – Developmental Psychology, 2023
The current article examines associations between preschool cognitive and behavioral skills and indicators of college enrollment in a sample (n = 379) of primarily Black and Hispanic youth growing up in low-income areas of Chicago. Although we found that most early cognitive and behavioral skills were only weakly or moderately related to later…
Descriptors: Preschool Children, Thinking Skills, Behavior Patterns, College Enrollment
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Donnalyn Pompper; Tugce Ertem-Eray – Journal of Media Literacy Education, 2023
As a learning process wherein we ask questions to enhance knowledge, "media literacy" offers a powerful lens for examining how people practice communication across diverse applied contexts such as professional communicators shaping messages about COVID-19. Borrowing a page from Renee Hobbs' (1998, 1999, 2010, 2011, 2021) media literacy…
Descriptors: Media Literacy, Communication Strategies, COVID-19, Pandemics
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Kai Jun Chew; Holly M. Matusovich – Journal of Engineering Education, 2024
Background: Tests are commonly and heavily used in fundamental engineering courses (FECs) to assess student learning of concepts. With existing literature presenting mixed benefits and disadvantages of testing to students' motivation to learn and documenting widely alternative assessments, the lack of questioning of heavy and common test usage…
Descriptors: Engineering Education, Test Use, Case Studies, Student Motivation
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Emily Theophilou; Davinia Hernández-Leo; Vicenç Gómez – Journal of Computer Assisted Learning, 2024
Background: Gender differences in the use of educational environments and social media platforms have been a topic of interest in research. Several studies have examined the disparities between female and male participants in terms of participation, engagement, and motivations in either educational or social media platforms. On this end, this…
Descriptors: Gender Differences, Social Media, Learner Engagement, Foreign Countries
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Hier, Bridget O.; MacKenzie, Connor K.; Ash, Tory L.; Maguire, Samantha C.; Nelson, Kaytlin A.; Helminen, Emily C.; Watts, Emily A.; Matsuba, Erin S. M.; Masters, Ellen C.; Finelli, Carly C.; Circe, Joshua J.; Hitchings, Taylor J.; Goldstein, Alec R.; Sullivan, William E. – Journal of Positive Behavior Interventions, 2024
This multiple-baseline design study examined the effects of the Good Behavior Game (GBG) on class-wide academic engagement in online general education classrooms. Teachers in three third- through fifth-grade classrooms in the state of New York implemented the GBG remotely during the COVID-19 pandemic. Treatment integrity was supported using…
Descriptors: Behavior Patterns, Games, Learner Engagement, Distance Education
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Sanne A. H. Giesbers; Richard P. Hastings; Alexander H. C. Hendriks; Andrew Jahoda; Petri J. C. M. Embregts – Journal of Mental Health Research in Intellectual Disabilities, 2024
Introduction: Family members are often the main provider of informal support to people with mild intellectual disabilities. In the current study, we explored whether their family-based social capital is prospectively associated with their wellbeing and emotional and behavioral problems. Methods: Sixty-nine participants with mild intellectual…
Descriptors: Mild Intellectual Disability, Social Capital, Well Being, Emotional Problems
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Dan Sun; Fan Ouyang; Yan Li; Chengcong Zhu; Yang Zhou – Journal of Computer Assisted Learning, 2024
Background: With the development of computational literacy, there has been a surge in both research and practice application of text-based and block-based modalities within the field of computer programming education. Despite this trend, little work has actually examined how learners engaging in programming process when utilizing these two major…
Descriptors: Computer Science Education, Programming, Computer Literacy, Comparative Analysis
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Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
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Yang Jiang; Mo Zhang; Jiangang Hao; Paul Deane; Chen Li – Journal of Educational Measurement, 2024
The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Ethics
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Paraskevas Petrou; Joran Jongerling – Creativity Research Journal, 2024
The present study addresses creativity as an employee strategy adopted to deal with challenges and distinguishes between incremental creativity (i.e., minor modifications to existing practices) and radical creativity (i.e., major departures from current practices). We hypothesize that employee self-reported mindfulness and other-rated personal…
Descriptors: Creativity, Work Environment, Well Being, COVID-19
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Kaiwen Man – Educational and Psychological Measurement, 2024
In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such…
Descriptors: Prior Learning, Testing, Behavior, Artificial Intelligence
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