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Manuel Ceballos González; María Luisa Parody Núñez; Manuel Parody Núñez – Psychology in the Schools, 2025
In this paper, we focus on describing the concept of cyberbullying and identifying the kind and impact of cyber-victimization in terms of the gender and school stage in a sample of 173 students of the first and second course of Compulsory Secondary Education (students between 12 and 16 years old) of Colegio Sagrado Corazon from Málaga. To do so,…
Descriptors: Computer Mediated Communication, Bullying, Secondary School Students, Foreign Countries
Mary Elizabeth Lockhart; Karen Rambo-Hernandez – European Journal of Engineering Education, 2024
Engineering identity is a rapidly evolving construct within engineering, primarily due to its link to engineering persistence. Yet, most engineering identity research has been qualitative in nature or has described individuals within the analytical technique as coming from a single population. This study is the first to allow for the detection of…
Descriptors: Engineering Education, Self Concept, College Freshmen, Gender Differences
Charles Stephen Clark Jr. – ProQuest LLC, 2024
Early literacy proficiency is a crucial predictor of later reading success, but research in this area often overlooks the unique challenges faced by English Learners (EL). This study addressed a significant gap in the literature by investigating the relationships between Dynamic Indicators of Basic Early Literacy Skills (DIBELS) scores, English…
Descriptors: Emergent Literacy, Elementary School Students, Kindergarten, Grade 1
Fein, Benedikt; Graßl, Isabella; Beck, Florian; Fraser, Gordon – International Educational Data Mining Society, 2022
The recent trend of embedding source code for machine learning applications also enables new opportunities in learning analytics in programming education, but which code embedding approach is most suitable for learning analytics remains an open question. A common approach to embedding source code lies in extracting syntactic information from a…
Descriptors: Artificial Intelligence, Learning Analytics, Programming, Programming Languages
Uzma Siddiqui; Mitchell M. Conover; Erica A. Voss; David M. Kern; Michelle Litvak; José Antunes – Journal of Attention Disorders, 2024
Objective: Our study examined the impact of sex, ADHD subtype, and comorbid illnesses (depression/anxiety) on the timing of diagnosis and treatment for ADHD. Method: To analyze ADHD patients, four health databases were used to assess subtype, comorbid mood, and antidepressant or anxiolytic drug exposure. Analyses were stratified by sex and age.…
Descriptors: Gender Differences, Clinical Diagnosis, Comorbidity, Depression (Psychology)
Laura del Hoyo Soriano; Audra Sterling; Jamie Edgin; Debra R. Hamilton; Elizabeth Berry-Kravis; Amanda Dimachkie Nunnally; Angela John Thurman; Leonard Abbeduto – Journal of Autism and Developmental Disorders, 2024
This study explores sex-differences in (a) rates and profiles of autism symptoms as well as in (b) the contribution of intellectual quotient (IQ) to autism symptom presentation in Down syndrome (DS). Participants were 40 males and 38 females with DS, aged 6 to 23 years. Autism symptoms were rated through the Autism Diagnostic Observation…
Descriptors: Correlation, Gender Differences, Autism Spectrum Disorders, Observation
Jessica R. Bagneris; Edward D. Scott Jr. – Psychology in the Schools, 2025
Bias influencing teachers' classroom management is increasingly clear, but the circumstances that influence the likelihood of relying on those biases are less understood. This study employed Classification and Regression Tree (CART) analysis, resulting in four models examining how teachers' appraisals of first-grade students' externalizing problem…
Descriptors: Predictor Variables, Behavior Problems, Classification, Regression (Statistics)
Seheryeli, Merve Yildirim; Anil, Duygu – International Journal of Assessment Tools in Education, 2020
This study is a survey study which aims to determine underlying causes of anger and the anger levels of individuals, in the sample cases and mood-states defined in the research. 255 people participated by filling in forms developed by the researcher. They were asked to rank 6 mood-state expressions between 1 and 6, to classify 23 sample case…
Descriptors: Psychological Patterns, Classification, Scaling, Gender Differences
Nesrin Hark Söylemez – SAGE Open, 2025
The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…
Descriptors: Preservice Teachers, Teacher Education Programs, Cultural Awareness, Gender Differences
Bülent BASARAN; Ömer SIMSEK – Journal of Computer Assisted Learning, 2024
Background: Their ubiquity is particularly notable as video games become increasingly intertwined with the technological revolution. Despite this prominence, gender disparities in adolescent video gaming remain under-explored. Objectives: This research aims to determine the frequency classes of video game playing based on gender, analyse the…
Descriptors: Gender Differences, Video Games, Play, Academic Achievement
Anastasia Dimiski – Educational Research for Policy and Practice, 2025
This paper addresses the influence of ethnic and gender disparities on educational outcomes and recognizes the significance of maternal education in shaping students' academic achievements. The study aims to evaluate the efficacy of policies aimed at integrating maternal involvement in education among 15-year-old students from OECD countries.…
Descriptors: Equal Education, Achievement Tests, Scores, Test Bias
Jamiu Adekunle Idowu – International Journal of Artificial Intelligence in Education, 2024
This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…
Descriptors: Algorithms, Dropouts, Prediction, Academic Achievement
Senocak, Dilek; Büyük, Köksal; Bozkurt, Aras – Online Learning, 2021
Gamification, which is defined as the use of game design elements in non-game contexts, is put forward as a solution to low motivation and is suggested for the creation of a sustainable learning ecology in open and distance learning (ODL). The overall purpose of the present study was to examine the distribution of the Hexad gamification user types…
Descriptors: Game Based Learning, Open Education, Distance Education, Games
de Kraker-Pauw, Emmy; van Wesel, Floryt; Krabbendam, Lydia; van Atteveldt, Nienke – Journal of Adolescent Research, 2022
Important adolescents' career-related decisions might be influenced by their beliefs about malleability of intelligence and learning (mindset). We combined quantitative and qualitative data to provide in-depth insights in the beliefs that 13- and 14-year olds hold about learning and intelligence, the factors influencing these beliefs, and the…
Descriptors: Student Attitudes, Intelligence, Gender Differences, Career Choice
Brendan Bartanen; Andrew Kwok; Andrew Avitabile; Brian Heseung Kim – Educational Researcher, 2025
Heightened concerns about the health of the teaching profession highlight the importance of studying the early teacher pipeline. This exploratory, descriptive article examines preservice teachers' expressed motivation for pursuing a teaching career. Using data from a large teacher education program in Texas, we use a natural language processing…
Descriptors: Career Choice, Teaching (Occupation), Preservice Teachers, Student Attitudes

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