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Yanik, Mehmet – Journal of Educational Issues, 2020
The aim of this study was to examine preservice physical education teachers' perceived competence in selecting teaching techniques according to certain variables. The research was designed as a descriptive study using a screening model. The study universe consisted of a total of 348 preservice physical education teachers studying in different…
Descriptors: Preservice Teachers, Physical Education Teachers, Teaching Methods, Scores
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Watson, Joshua C.; Hernandez, Elizabeth – Journal of College Counseling, 2020
The authors examined whether perceptions of self-esteem, coping self-efficacy, and emotional intelligence could significantly predict the presence of depressive symptomatology among a sample of 146 Hispanic first-year college students (53 men, 93 women). The results of a sequential multiple linear regression analysis indicated the 3 predictor…
Descriptors: Symptoms (Individual Disorders), Self Esteem, Coping, Self Efficacy
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Salas-Rueda, Ricardo-Adán – International Electronic Journal of Mathematics Education, 2020
This quantitative research aims to analyze the design and implementation of the Web Application on the educational process of the Linear Function (WALF) considering the TPACK (Technological Pedagogical and Content Knowledge) model and data science. The sample consists of 45 students who studied the Basic Math course at a Mexican university during…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Instruction, Mexicans
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Wilkins, David; Forrester, Donald – Child Care in Practice, 2020
Social workers are constantly predicting the future. In England and Wales there is a legal duty on them to do so, as the 1989 Children Act requires workers to assess not only whether children "have" suffered significant harm, but also whether they are "likely" to do so. Similarly, in Northern Ireland social workers are required…
Descriptors: Social Work, Caseworkers, Foreign Countries, Caseworker Approach
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Keogh, Brianna; Kushalnagar, Poorna; Engelman, Alina – Journal of American College Health, 2020
Objective: The purpose of the study was to investigate whether peer support and demographic characteristics predicted food security among deaf college students. Participants: The sample included 166 deaf college students at Gallaudet University. Methods: Participants completed a bilingual online survey in American Sign Language (ASL) and English.…
Descriptors: Peer Relationship, Food, Security (Psychology), Deafness
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Aydogdu, Seyhmus – Education and Information Technologies, 2020
Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
Inandi, Yusuf; Tunç, Binali; Yücedaglar, Asena; Kiliç, Samet – Online Submission, 2020
The main purpose of this study is to determine the relationship of the school administrators' leadership styles with resistance to change and organizational dissent based on teachers' perceptions, and also to reveal whether the leadership styles of the administrators predict resistance to change and organizational dissent. After defining…
Descriptors: School Administration, Leadership Styles, Teacher Attitudes, Prediction
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Zhao, Yijun; Xu, Qiangwen; Chen, Ming; Weiss, Gary M. – International Educational Data Mining Society, 2020
Predicting student success in a data science degree program is a challenging task due to the interdisciplinary nature of the field, the diverse backgrounds of the students, and an incomplete understanding of the precise skills that are most critical to success. In this study, the applicant's future academic performance in a Master of Data Science…
Descriptors: Grade Prediction, Data Analysis, Masters Programs, Admission Criteria
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Bulathwela, Sahan; Pérez-Ortiz, María; Lipani, Aldo; Yilmaz, Emine; Shawe-Taylor, John – International Educational Data Mining Society, 2020
The explosion of Open Educational Resources (OERs) in the recent years creates the demand for scalable, automatic approaches to process and evaluate OERs, with the end goal of identifying and recommending the most suitable educational materials for learners. We focus on building models to find the characteristics and features involved in…
Descriptors: Prediction, Open Educational Resources, Learner Engagement, Video Technology
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Blake A. Colaianne; Brian M. Galla; Robert W. Roeser – International Journal of Behavioral Development, 2020
The purpose of this study was to examine how student perceptions of mindful teaching are associated with changes in students' mindfulness, self-compassion, and compassion for others across a single high school year. We hypothesized two pathways of effect: a direct path whereby when high school students perceive their teachers as demonstrating…
Descriptors: Metacognition, Student Attitudes, Outcomes of Education, Daily Living Skills
Pakdaman Naeini, Mahdi – ProQuest LLC, 2016
Learning probabilistic classification and prediction models that generate accurate probabilities is essential in many prediction and decision-making tasks in machine learning and data mining. One way to achieve this goal is to post-process the output of classification models to obtain more accurate probabilities. These post-processing methods are…
Descriptors: Probability, Prediction, Predictor Variables, Models
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Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2016
This paper presents an extension of the Additive Factors Model to predict learning for students by accounting for aspects of collaboration. The results indicate that student performance is predicted more accurately when the model includes parameters that capture influences of working collaboratively. [This paper was published in: "Proceedings…
Descriptors: Intelligent Tutoring Systems, Cooperation, Models, Students
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Pesch, Annelise; Koenig, Melissa A. – Early Education and Development, 2023
Research Findings: Although work across developmental and educational psychology reveals that trust impacts children's acceptance of claims and that teacher-student relationships impact learning outcomes, little work has integrated these literatures to better understand how students' trust in their teacher facilitates learning. In the present…
Descriptors: Prediction, Preschool Children, Preschool Teachers, Teacher Student Relationship
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Chang, Peichin – RELC Journal: A Journal of Language Teaching and Research, 2023
The research genre has specific communicative purposes which require students to understand the tone, generic and disciplinary conventions. The present study explored the potential of thematic progression (TP) to contribute to research argument readability. TP concerns how clauses encode information and how that information is carried forward.…
Descriptors: Reading Research, Readability, Phrase Structure, Graduate Students
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Park, Daeun; Gunderson, Elizabeth A.; Maloney, Erin A.; Tsukayama, Eli; Beilock, Sian L.; Duckworth, Angela L.; Levine, Susan C. – Developmental Psychology, 2023
Prior research shows that when parents monitor, check, and assist in completing homework without an invitation, their children's motivation and academic achievement often decline. We propose that intrusive support from parents might also send the message that children are incompetent, especially if they believe their intelligence is fixed. We…
Descriptors: Homework, Parenting Styles, Parent Child Relationship, Learning Motivation
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