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Miao Chao; Weiyi Sun; Jie Liu; Jiahui Ding; Ye Zhu – Journal of Computer Assisted Learning, 2025
Background: The use of social media among students has become debatable concern due to both positive and negative effects on academic performance. Yet, understanding of the diverse patterns of social media use and their influence on actual and perceived academic performance remains limited. Objectives: This study distinguishes between academic and…
Descriptors: Social Media, Performance, Influence of Technology, Predictor Variables
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N. H. Douma; M. J. Warrens; E. Fleur; M. A. Dijks; H. Korpershoek – British Educational Research Journal, 2025
Dutch secondary education is a multi-tiered system, and many students are placed in a single track in the first year (seventh grade) of secondary education. As part of the placement procedure, all sixth-grade students take an end of primary school test. Although these standardised attainment tests (SATs) are considered high-stakes tests, the…
Descriptors: Standardized Tests, Exit Examinations, Educational Attainment, Predictor Variables
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Chih-Hung Wang; Fu-Yuan Hong; Tzu-Yuan Hsu – Psychology in the Schools, 2025
Previous studies have explored the relationship between students' school stress and resilience but have largely overlooked the relationship between students' daily academic hassles and buoyancy. Although the close relationship between academic buoyancy and achievement has been confirmed, using the academic buoyancy perspective to explain the…
Descriptors: Foreign Countries, Stress Variables, Barriers, Mental Health
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Bowen Liu; Yonghe Wu; Hang Shu; Yongpeng Cui; Can Zuo; Wenhao Li – British Journal of Educational Technology, 2024
Self-direction has become an important skill in the 21st century. To cultivate learners with a high level of self-direction, it is necessary to diagnose their self-directed learning (SDL) ability. This study diagnosed and predicted learners' SDL ability based on their actual SDL behaviours. The study was performed in a self-directed 3D design…
Descriptors: Middle School Students, Independent Study, Teaching Methods, Self Concept
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Jae Yup Jung; Jihyun Lee – Psychology in the Schools, 2025
In this study, an investigation was conducted into the nature of the attitudes of the general student body (comprising all students) toward gifted students and gifted education, along with the predictors of such attitudes. For this purpose, survey data were collected from 400 secondary students enrolled in a faith-based school system in Australia.…
Descriptors: Student Attitudes, Academically Gifted, Gifted Education, Predictor Variables
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Seth Sunu; David Baidoo-Anu – International Journal of School & Educational Psychology, 2024
This study examined the relationship between academic self-concept, intrinsic motivation, and academic performance of Senior High School students. A quantitative approach using a descriptive cross-sectional survey design was used in the study. A multi-stage sampling technique was used to select 346 participants. The results showed that students…
Descriptors: High School Students, Self Concept, Student Motivation, Academic Achievement
Regina Nkong – ProQuest LLC, 2024
The purpose of this quantitative correlational study was to determine to what extent principal instructional leadership practice (PIL) and collective teacher efficacy (CTE) combined or individually significantly predict teacher affective (ACS), continuance (CCS), and normative commitment (NCS) in Maryland school districts. This study was based on…
Descriptors: Teacher Attitudes, Principals, Instructional Leadership, Predictor Variables
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Ümran Okudan; Etem Yesilyurt – Asia-Pacific Education Researcher, 2024
Various independent variables affect or have a relationship with students' mathematics academic achievement theoretically, practically, and statistically. These variables include the learning needs of students, use of general teaching principles, and learning strategies. This study aims to examine the predictive level of learning needs, learning…
Descriptors: Mathematics Achievement, Student Needs, Learning Strategies, Grade 8
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Nihan Arslan; Serhat Arslan; Asli Kartol; Mehmet Akcaalan – International Journal of Learning and Change, 2024
This research aims to examine the relationship between science motivation and social emotional learning. The relational analysis method was used in the research within the scope of quantitative research. The research scopes the relationship between high school students' science motivation and social emotional learning. According to the results, a…
Descriptors: High School Students, Social Emotional Learning, Predictor Variables, Foreign Countries
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Inuusah Mahama; Isaac Amoako; Aliu Nandzo; Peter Eshun – Cogent Education, 2024
In every learning environment, several factors such as mindfulness, self-regulation, school engagement, and resilience may compel students to move beyond their limits to sustain learning and improve their academic performance. The study, therefore, investigated the predictive roles of academic mindfulness, self-regulated learning, and school…
Descriptors: Metacognition, Independent Study, Learner Engagement, Predictor Variables
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Majed Mustapha Alia – Eurasian Journal of Applied Linguistics, 2024
Metacognitive thinking has the potential to impact high school student's personality, his cognitive abilities, and psychological state when activating its components through modern educational methods. Through four hypotheses, this study aimed to examine the psychological and educational variables of metacognitive thinking, systemic thinking, and…
Descriptors: Metacognition, Secondary School Students, Late Adolescents, Thinking Skills
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Lee, Hyejeong; Closser, Florentina; Alghamdi, Khadijah; Ottenbreit-Leftwich, Anne; Brown, Matthew; Koressel, Jacob – TechTrends: Linking Research and Practice to Improve Learning, 2023
This study aims to examine the current experiences of high school students in computer science (CS) courses and the factors that motivated them to continue their future enrollment. The participants were 603 high school students in grades 9 through 12 in Indiana, all of whom enrolled in at least one CS course during the 2020-2021 academic year.…
Descriptors: Student Experience, Predictor Variables, Enrollment, Computer Science Education
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Teng Chen; Wan Ding; Qingfeng Yang; Yanling Chen; Weijian Li; Ruibo Xie – Social Psychology of Education: An International Journal, 2025
Prior studies showed that general basic psychological need satisfaction or social support affected academic engagement. However, it remains unknown how the mutual reinforcement between the perception of internal needs and external support influences adolescents' academic engagement, as well as whether academic engagement can shape psychological…
Descriptors: Social Support Groups, Need Gratification, High School Students, Learner Engagement
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Sarab Tej Singh; Satish Kumar; Vishal Singh – Journal of Education and Learning (EduLearn), 2025
The current research is the study of academic buoyancy in relation to emotional intelligence and parenting styles. Academic buoyancy is a strength in a student's life to deal with the routine problems in classroom study like low grades, negative feedback by teachers, and difficulties in understanding of concepts. For the studying the relationship…
Descriptors: Parenting Styles, Emotional Intelligence, Predictor Variables, Academic Achievement
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Diana M. Doumas; Raissa Miller; Susan Esp – Psychology in the Schools, 2025
Sensation seeking is a significant predictor of alcohol-related consequences among high school students. High school seniors report the highest prevalence rates of alcohol use and binge drinking among students in high school. Among high sensation-seeking students, higher rates of Protective Behavioral Strategies (PBS) use are associated with fewer…
Descriptors: Risk, Predictor Variables, Drinking, High School Seniors
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