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Kudzayi Savious Tarisayi; Ronald Manhibi – Journal of Learning and Teaching in Digital Age, 2025
This paper critically examines the transformative potential of Artificial Intelligence (AI) in Zimbabwe's higher education system, focusing on how AI can enhance learning outcomes and optimize administrative processes. The study employs a qualitative research approach, gathering insights from key stakeholders in the educational sector to identify…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Higher Education
Jialun Pan; Zhanzhan Zhao; Dongkun Han – IEEE Transactions on Learning Technologies, 2025
Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…
Descriptors: Prediction, Academic Achievement, At Risk Students, Artificial Intelligence
Kaitlin E. Bountress; Daniel Bustamante; Mohammad Ahangari; Fazil Aliev; Steven H. Aggen; Eva Lancaster; The Spit for Science Working Group; Roseann E. Peterson; Jasmin Vassileva; Danielle M. Dick; Ananda B. Amstadter – Journal of American College Health, 2025
Objective: The purpose of this study was to test whether COVID impact interacts with genetic risk (polygenic risk score/PRS) to predict alcohol use disorder (AUD) symptoms. Method: Participants were n = 455 college students (79.6% female, 51% European Ancestry/EA, 24% African Ancestry/AFR, 25% Americas Ancestry/AMER) from a longitudinal study…
Descriptors: COVID-19, Pandemics, Alcohol Abuse, Symptoms (Individual Disorders)
Kimberly Pack-Cosme; Wonsun Ryu; Lauren Schudde – Community College Research Center, Teachers College, Columbia University, 2025
Dual enrollment (DE) offers students the opportunity to earn college credits while in high school. Although variation in partnership contexts likely contributes to differences in DE access, structures, and outcomes, the extent of variation across DE partnerships is unclear. To build an understanding of variation in key DE structures and outcomes…
Descriptors: Dual Enrollment, High Schools, Community Colleges, Partnerships in Education
Kevin C. Bastian; Timothy A. Drake; Andrew Otte – Journal of Research on Leadership Education, 2025
Using data from 12 public universities in North Carolina over a 4-year period, we assess how principal intern characteristics and internship experiences predict entry into the school leader labor market as an assistant principal. In line with prior research, we found that a sizable number of interns never enter school leadership. Furthermore,…
Descriptors: Principals, Internship Programs, Prediction, Student Characteristics
Nursenem Sari; Ozan Çetiner; Ruken Çelik; Beste Erdinç; Yusuf Akyil; Süleyman Akçil – International Journal of Modern Education Studies, 2025
Taking into account the individual contributions of family relationships for wellbeing and resilience is highly important to the development of healthy individuals, families, and society. The aim of this research was to explore the links between parental resilience and awareness, and adolescents' relative deprivation and wellbeing using the…
Descriptors: Parent Child Relationship, Well Being, Resilience (Psychology), Adolescents
Sunghye Lee; You-kyung Lee; So-Young Park; Eun Hye Ham – Education and Information Technologies, 2025
This study aimed to investigate the trajectories of students' self-regulated learning in an online course and the predictive role of students' satisfaction with basic psychological needs (autonomy, competence, relatedness) on these trajectories. Additionally, the potential variation in the relationship between basic psychological needs and…
Descriptors: Online Courses, Psychological Needs, Elementary School Students, Middle School Students
Perla B. Gámez; Ö. Ece Demir-Lira; Paola Pinzón-Henao – Child Development, 2025
This longitudinal study (data collected from 2019 to 2023) examines the relation between Spanish-English bilingual Latino toddlers' (n=46; F=22; M=24) early gesture production (Mage=18.67 months; SD[subscript age]=1.02) and later language skills (M[subscript age]=36.87 months; SD[subscript age]=0.81). Video recordings at child-age 18-months…
Descriptors: Nonverbal Communication, English (Second Language), Second Language Learning, Spanish
Mark Wilson-Trollip – Perspectives in Education, 2025
The study examines artificial intelligence's (AI) role in peer-to-peer learning and its impact on student engagement, academic performance, and pass rates. The research provided insights into how AI influences student engagement and grades through a mixed-methods approach. The research methodology adopted an interpretivist approach that includes…
Descriptors: Artificial Intelligence, Peer Teaching, Learner Engagement, Academic Achievement
Amir Khalighi; Wittney Jones; Linda Mast; Rodney McCurdy; Rene Geschke; Julie Miller; Shabnam Kouhestani – Journal of Online Graduate Education, 2025
In the United States, 385,000 healthcare staff experience sharps injuries annually, costing the healthcare system over one billion dollars. Double-gloving can reduce perforations by up to 71-85%. The problem is that healthcare personnel often do not utilize double-gloving. This study was performed to identify the perceptions, perceived barriers,…
Descriptors: Nursing Education, Student Attitudes, Injuries, Prevention
Kate B. Eastman; Anne McMaugh – Professional Development in Education, 2025
Recent studies have identified a growing need for educators to be trauma-informed. However, there is limited understanding of teacher trauma literacy or their professional learning and teaching experience. This study reports a new measure of teacher trauma literacy and is the first known study to assess the trauma and mental health literacy…
Descriptors: Faculty Development, Teacher Student Relationship, Trauma, Knowledge Base for Teaching
Tianxiao Yang; Jongpil Cheon – Computer Science Education, 2025
Background and context: There were few studies indicating if students' computational thinking (CT) self-efficacy and their CT performance were aligned with each other. Objectives: The study was to investigate if there was a discrepancy between students' CT self-efficacy and their CT performance. Method: Involving 104 non-CS undergraduate students…
Descriptors: Self Efficacy, Computer Science Education, Prediction, Teacher Expectations of Students
Milagros Sáinz; Claudia Malpica – Educational Studies, 2025
This study examines gender gaps in ability grouping based on students' appraisals of their math and Spanish language abilities. The role of these ability groupings in predicting students' university studies was also analyzed. 796 secondary students participated (mean age=16 years, S.D=0.81). The self-criterion residual method resulted in three…
Descriptors: Gender Differences, Nonverbal Ability, Language Proficiency, Spanish
Qing Liu; Run Geng – Journal of Multilingual and Multicultural Development, 2025
The influence of teachers' interpersonal communication abilities and learning environment on second/foreign language (L2) students has received a growing scholarly attention. However, the preventing role of teachers' immediacy behaviours and classroom climate on English as a foreign language (EFL) students' negative, destructive emotions has been…
Descriptors: Foreign Countries, Teacher Behavior, English (Second Language), Second Language Learning
Nakagawa, Shinichi; Lagisz, Malgorzata; O'Dea, Rose E.; Rutkowska, Joanna; Yang, Yefeng; Noble, Daniel W. A.; Senior, Alistair M. – Research Synthesis Methods, 2021
"Classic" forest plots show the effect sizes from individual studies and the aggregate effect from a meta-analysis. However, in ecology and evolution, meta-analyses routinely contain over 100 effect sizes, making the classic forest plot of limited use. We surveyed 102 meta-analyses in ecology and evolution, finding that only 11% use the…
Descriptors: Graphs, Meta Analysis, Ecology, Evolution

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