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Elliott, Amanda; Reddy, Linda A.; Lekwa, Adam J.; Fingerhut, Joelle – Psychology in the Schools, 2024
The current study examined teacher competence and contextual factors associated with teacher-reported stress in low-income urban elementary schools. Using a sample of 106K-5th grade teachers from 14 low-income urban elementary schools, associations between observed use of instructional and behavior management practices, teacher-reported stress,…
Descriptors: Stress Variables, Teaching Conditions, Disadvantaged Schools, Urban Schools
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Ranjit Kumar Behera; Roshan Chandra; Subhankita Rath – Journal on School Educational Technology, 2024
Video game addiction is a global phenomenon. A high level of addiction leads to detrimental effects on the social, educational, and psychological aspects of the students. The objective of this study is to examine the relationship between videogame addiction and the academic performance of senior secondary students. For this, the study has used the…
Descriptors: Correlation, Video Games, Addictive Behavior, Academic Achievement
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Andrea Zanellati; Stefano Pio Zingaro; Maurizio Gabbrielli – IEEE Transactions on Learning Technologies, 2024
Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…
Descriptors: Dropouts, Dropout Characteristics, Potential Dropouts, Artificial Intelligence
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Yadong Ding; Jing Li – SAGE Open, 2024
Previous research works demonstrate that risk perception (RP) of coronavirus disease 2019 (COVID-19) may result in experiencing negative emotions. The current research sought to further appraise of whether perceived social support alleviated the negative impact of RP of COVID-19 on subjective well-being (SWB) among university students. A sum of…
Descriptors: Foreign Countries, Risk, COVID-19, Pandemics
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Mike Sleeman; John Everatt; Alison Arrow; Amanda Denston – Journal of Research in Reading, 2024
Background: This study explored the impact of different cut-off points used to identify children with reading difficulties on the distribution of these children across the three poor reader groups predicted by the simple view of reading (dyslexia, specific comprehension difficulty and mixed difficulty). Additionally, the study investigated whether…
Descriptors: Reading Difficulties, Identification, Predictor Variables, Dyslexia
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Simin Cao; Chuanmei Dong; Hui Li – Education and Information Technologies, 2024
Digital technologies are increasingly integrated into the daily lives of young children. However, disparities in access and use quality, known as the 'digital divide,' persist. Parents play a crucial role in narrowing this divide during early childhood, but the underlying mechanisms remain inconclusive. This study investigates how family…
Descriptors: Foreign Countries, Preschool Children, Digital Literacy, Parents
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Emma Nicole Lomberg; Jacques Jordaan – SAGE Open, 2024
South African undergraduate university students face many unique challenges that put them at risk of developing mental health concerns such as depression, anxiety, stress, suicidal ideation, and posttraumatic stress disorder. However, psychological well-being has been found to play an essential role when it comes to effectively coping with and…
Descriptors: Foreign Countries, Undergraduate Students, Predictor Variables, Student Welfare
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Chuan Cai; Adam Fleischhacker – Journal of Educational Data Mining, 2024
We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…
Descriptors: College Students, Student Attrition, Dropouts, Potential Dropouts
Alexander Charles Rausch – ProQuest LLC, 2024
This non-experimental correlational quantitative research study was conducted to examine the relationship between the percentage of voluntary live synchronous virtual lesson attendance (LVLA) and the reading comprehension skill growth of sixth through eighth-grade English Language Arts (ELA) students enrolled in a Pennsylvania full-time online…
Descriptors: Synchronous Communication, Electronic Learning, Reading Comprehension, Grade 6
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Suhrab Khan; Kazim Ali – International Journal for Research in Vocational Education and Training, 2024
Purpose: The present study investigates the influence of demographic factors on the demand for Technical and Vocational Education and Training (TVET) in Pakistan. The government of Pakistan has implemented various skill enhancement programs to harness the demographic dividend. However, only a small portion of the workforce receives any form of…
Descriptors: Foreign Countries, Vocational Education, Labor Needs, Job Skills
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Marcell Nagy; Roland Molontay – International Journal of Artificial Intelligence in Education, 2024
Student drop-out is one of the most burning issues in STEM higher education, which induces considerable social and economic costs. Using machine learning tools for the early identification of students at risk of dropping out has gained a lot of interest recently. However, there has been little discussion on dropout prediction using interpretable…
Descriptors: Dropout Characteristics, Dropout Research, Intervention, At Risk Students
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Anne van Leest; Lisette Hornstra; Jan van Tartwijk; Janneke van de Pol – British Educational Research Journal, 2024
In some tracked educational systems, track recommendations are formulated by primary school teachers to determine the secondary school level that students will be allocated to. While teachers mostly base their track recommendations on students' prior achievement, the extent to which teachers also consider perceived student attributes, such as…
Descriptors: Track System (Education), Teacher Attitudes, Student Characteristics, Individual Differences
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Jonas Kanefke; Stanislaw Schukajlow – Journal of Mathematics Teacher Education, 2024
Students' emotions (e.g., enjoyment, boredom) while doing math and their situational interest in mathematics are important for their learning of mathematics, but examinations of teachers' judgments of students' emotions and interest while solving tasks are rare. Moreover, we do not know much about the predictors of teachers' judgments of students'…
Descriptors: Preservice Teachers, Evaluative Thinking, Student Evaluation, Learner Engagement
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Jose Ma Gopez; Beatriz Gopez – European Journal of Psychology of Education, 2024
Due to the advent of the pandemic, online learning was fully introduced into the Philippine educational setup. One of the emerging challenges that online teachers face is fostering student engagement in virtual classrooms. Thus, this paper aimed to examine the predictors of student engagement in online learning. The mediating role of…
Descriptors: Foreign Countries, College Students, Electronic Learning, Online Courses
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Rabia Dinçer; Mustafa Polat; Nazmi Dinçer – Asian Journal of Distance Education, 2024
This study explores the intersection of Technological Pedagogical Content Knowledge (TPACK) and Technology Integration Self-Efficacy (TISE) among EFL instructors in Turkey. Utilizing a quantitative approach, 101 EFL instructors were across various Turkish universities, employing the TPACK-EFL assessment and the TISE questionnaire. Our findings…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Self Efficacy, Language Teachers
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