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Direct linkShone, Enkosa Terefe; Weldemeskel, Fisseha Mikre; Worku, Berhanu Nigussie – Psychology in the Schools, 2024
Deterioration of students' mathematics achievement has been a common problem while their mathematics perception and self-efficacy have been reported to determine their achievement. However, little is known about the potential relationships among them. Therefore, this study attempted to investigate the extent of influence of students' mathematics…
Descriptors: Mathematics Achievement, Self Efficacy, Student Attitudes, Correlation
Fadime Ulusoy; Musa Sadak; Lutfi Incikabi; Murat Pektas – Psychology in the Schools, 2025
This study explores gender-based differences in sixth-grade students' potential for mathematical creativity through the interrelated processes of problem solving (PS) and problem posing (PP), grounded in a multidimensional framework of creativity--encompassing fluency, flexibility, and originality. A total of 346 sixth graders from public schools…
Descriptors: Gender Differences, Grade 6, Creativity, Problem Solving
Download full textOmar Al-Adamat; Adnan Atoum; Yousef Wardat; Rommel Alali; Khaled Al-Saud; Mamdouh Helali – Educational Process: International Journal, 2025
Background/purpose: This study aimed to identify the level of self among Al al-Bayt University students in Jordan based on gender and academic specialization and examine the predictive ability of the Big Five personality traits (extraversion, neuroticism, openness to experience, conscientiousness, and agreeableness) in students' general…
Descriptors: Foreign Countries, College Students, Predictor Variables, Personality Traits
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
Ingrid S. Tien; Amanda R. Johnson; Junok Kim; Jeffrey J. Wood – Journal of Autism and Developmental Disorders, 2025
Approximately 3-4 boys for every girl meet the clinical criteria for autism in studies of community diagnostic patterns and studies of autism using samples of convenience. However, girls with autism have been hypothesized to be underdiagnosed, possibly because they may present with differing symptom profiles as compared to boys. This secondary…
Descriptors: Clinical Diagnosis, Gender Differences, Autism Spectrum Disorders, Symptoms (Individual Disorders)
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
Jibulal Nair; Lini Gladwin; Greeshma Eliyan; Sherin Thomas – Educational Process: International Journal, 2025
Background/purpose: Low attendance rates in undergraduate (UG) programs represent a critical issue for higher education institutions (HEIs), as they directly impact both individual and institutional success. This study investigates the influence of moderating variables such as age and gender on the effect of student absenteeism on mathematics…
Descriptors: Attendance, Academic Achievement, Age Differences, Gender Differences
Md. Atikuzzaman; S. M. Zabed Ahmed – Journal of Academic Ethics, 2025
Student plagiarism presents a serious challenge for higher academic institutions globally. This issue is particularly prevalent in developing countries like Bangladesh, where a lack of ethical academic policies and limited awareness of plagiarism impede efforts to effectively combat academic misconduct. Against this backdrop, this paper…
Descriptors: Plagiarism, College Students, Student Attitudes, Foreign Countries
Oscar W. H. Wong; Sandra S. M. Chan; Steven W. H. Chau; Winnie C. W. Chu; Carol S. W. Ho; Stephy W. S. Ho; Se Fong Hung; Samara Hussain; Kelly Y. C. Lai; Angela M. W. Lam; Holly H. L. Lo; Karen K. Y. Ma; Suk Ling Ma; Flora Y. M. Mo; Pak Chung Sham; Caroline K. S. Shea; Suzanne H. W. So; Kelvin K. F. Tsoi; Patrick W. L. Leung – Autism: The International Journal of Research and Practice, 2025
Epidemiological studies on autism lack representation from Asia. We estimated the prevalence of autism among children and youths in Hong Kong using a two-stage approach. In addition, we evaluated the psychometric properties of the screening instrument and explored sex differences within an epidemiological context. A random school-based sample of…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Epidemiology, Children
Gülendam Akgül; Nisa Gökden Kaya – Journal of Research in Special Educational Needs, 2024
Gifted students differ from their peers in cognitive, social and emotional development. This study aims to compare gifted and typically developing students in terms of friendship quality and empathy level and examine the gender differences in a sample of Turkish students. In addition, the predictive role of empathy in friendship quality among…
Descriptors: Academically Gifted, Friendship, Peer Relationship, Empathy
Ruhan Karadag Yilmaz; Tugba Horzum; Ilhan Koyuncu – Online Submission, 2024
The aim of this study is to examine the correlation between reading culture and the mathematical literacy self-efficacy among pre-service teachers and assesses these variables in relation to several factors. Utilizing convenience sampling, the research sample consists of 562 pre-service teachers studying in mathematics and primary school teaching…
Descriptors: Preservice Teachers, Reading Habits, Mathematics Skills, Numeracy
Samantha M. van Rens; Cristina Lemelin; Patricia H. Kloosterman; Laura J. Summerfeldt; James D. A. Parker – Canadian Journal of School Psychology, 2025
Although previous research has found trait emotional intelligence (TEI) to be a moderate predictor of bullying behaviors in adolescents, this work has limited generalizability. The current study is the first to use a multidimensional approach to both TEI and bullying behaviors when looking at their relationship in high school students. The study…
Descriptors: Bullying, High School Students, Emotional Intelligence, Predictor Variables
Mensah Prince Osiesi; Musa Adekunle Ayanwale; Stella Oluwakemi Olatunbosun; Tolulope Oluwatoyin Olayiwola-Adedoja; Sikeade Mercy Adegboyega; Ogechukwu Rose Appah; Jamiu Oluwadamilare Amusa – Discover Education, 2025
We explored the relationships among university student's gender, online learning engagement, attitudes toward online learning, readiness, and academic achievement in a public university. While previous research highlights the importance of these factors in online learning, their combined effects remain underexplored, particularly in the Nigerian…
Descriptors: Gender Differences, Online Courses, Student Attitudes, Readiness
Mensure Alkis Küçükaydin; Hakan Ulum – Journal for STEM Education Research, 2025
Science, technology, engineering, and mathematics (STEM) literature has provided an examination of demographic variables for understanding career interest. However, in addition to these variables, there is a research gap on the impact of experiences within STEM, which are related to self-efficacy, stereotypes, and sense of belonging as it pertains…
Descriptors: STEM Education, Self Efficacy, Socioeconomic Status, Vocational Interests
Ayelet Ben-Sasson; Joshua Guedalia; Keren Ilan; Meirav Shaham; Galit Shefer; Roe Cohen; Yuval Tamir; Lidia V. Gabis – Autism: The International Journal of Research and Practice, 2024
Early detection of autism spectrum condition is crucial for children to maximally benefit from early intervention. The study examined a machine learning model predicting the increased likelihood for autism from wellness records from 0 to 24 months. The study included 591,989 non-autistic and 12,846 autistic children. A gradient boosting model with…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Infants, Predictor Variables
