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Carey Bernini Dowling; C. Veronica Smith; Yue Yin; Jeffrey M. Williams – Journal of the Scholarship of Teaching and Learning, 2025
People view many attributes, including intelligence, through implicit theories (or mindsets). Entity mindsets position the attribute as unchangeable or static, whereas incremental mindsets see the attribute as malleable or capable of being changed/improved (Dweck & Leggett, 1988). The present studies examined a new questionnaire designed to…
Descriptors: Grade Point Average, Undergraduate Students, Study Habits, Intelligence
Hui Shi; Nuodi Zhang; Secil Caskurlu; Hunhui Na – Journal of Computer Assisted Learning, 2025
Background: The growth of online education has provided flexibility and access to a wide range of courses. However, the self-paced and often isolated nature of these courses has been associated with increased dropout and failure rates. Researchers employed machine learning approaches to identify at-risk students, but multiple issues have not been…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, At Risk Students
Tutal, Varol; Efe, Mehmet – African Educational Research Journal, 2020
The purpose of this study is to identify the determinant role of emotional intelligence sub-dimensions (evaluation of others' emotions, evaluation of one's own emotions, regulation of emotions, social skills, use of emotions) in determining the self-efficacy levels of athletes. In addition, emotional intelligence, and self-efficacy levels of the…
Descriptors: Emotional Intelligence, Self Efficacy, Athletes, Predictor Variables
Ng, Hui Wen; Prihadi, Kususanto – International Journal of Evaluation and Research in Education, 2020
In two studies, we intend to investigate whether spirituality can explain the relationship between intrinsic religious orientation (IRO) and emotional intelligence (EI). Seventy-three worshipping houses-going adults, aged 18-56, had participated in the study. Data was collected by employing Intrinsic Scale of Religious Orientation Scale,…
Descriptors: Religion, Emotional Intelligence, Adults, Predictor Variables
Fatma Gezer; Eyyüp Özkamali – International Journal of Psychology and Educational Studies, 2023
This study aimed to examine whether the tendency to cheat and interpersonal cognitive distortions have a predictive effect on the marital satisfaction level of married teachers. The sample of the study consisted of 107 (28.1%) male and 271 (71.9%) female married teachers working in Gaziantep. In the study, a Personal Information Form was used to…
Descriptors: Foreign Countries, Teachers, Spouses, Marital Satisfaction
Meva Demir-Kaya; Feridun Kaya; Yuksel Eroglu – Journal of Education in Science, Environment and Health, 2023
The aim of this study is to investigate the mediating role of attachment styles in the relationship between childhood trauma and cognitive distortion. The sample comprised 358 (44.7% males) university students. Participants completed the Childhood Trauma Questionnaire, the Three-Dimensional Attachment Style Scale, and the Interpersonal Cognitive…
Descriptors: College Students, Attachment Behavior, Children, Trauma
Senapati, Biswaranjan – ProQuest LLC, 2023
A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…
Descriptors: Artificial Intelligence, Educational Technology, Autism Spectrum Disorders, Models
Umar Bin Qushem; Solomon Sunday Oyelere; Gökhan Akçapinar; Rogers Kaliisa; Mikko-Jussi Laakso – Technology, Knowledge and Learning, 2024
Predicting academic performance for students majoring in computer science has long been a significant field of research in computing education. Previous studies described that accurate prediction of students' early-stage performance could identify low-performing students and take corrective action to improve performance. Besides, adopting machine…
Descriptors: Predictor Variables, Learning Analytics, At Risk Students, Computer Science
Raminderpreet Kaur; Gurpreet Randhawa – International Journal of Educational Management, 2024
Purpose: The purpose of this paper is to investigate the impact of three predictors (emotional intelligence, perceived supervisor support and work-life balance) on employee engagement. Design/methodology/approach: The employee engagement and its predictor variables considered have been assessed by a survey using a structured questionnaire. Data…
Descriptors: Foreign Countries, Predictor Variables, Teacher Participation, Teacher Attitudes
Nelcida L. Garcia-Sanchez; Anthony Steven Dick; Timothy Hayes; Shannon M. Pruden – Developmental Science, 2024
Individual differences in spatial thinking are predictive of children's math and science achievement and later entry into Science, Technology, Engineering, and Mathematics (STEM) disciplines. Little is known about whether parent characteristics predict individual differences in children's spatial thinking. This study aims to understand whether,…
Descriptors: Spatial Ability, Mothers, Ability, Parent Influence
Monique Crummie – ProQuest LLC, 2024
The purpose of this quantitative, correlational-predictive study was to assess if and to what extent second-grade student race (operationalized as minority status) and student socioeconomic status (operationalized as eligibility for Free and Reduced Lunch) predict second-grade student classification as gifted under two scenarios: using the current…
Descriptors: Predictor Variables, Classification, Academically Gifted, Minority Group Students
Jamie Linert; Lizbeth H. Finestack; Leonard Abbeduto – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The current study addresses a gap in the literature regarding syntactic development of adolescent boys with fragile X syndrome (FXS) and Down syndrome (DS). Specifically, we ask whether syntactic skills plateau or continue to change during adolescence for these groups and whether the profile of syntactic change differs between boys with…
Descriptors: Syntax, Adolescents, Males, Genetic Disorders
Sri Nurhayati; Taufikin Taufikin; Loso Judijanto; Safuri Musa – Educational Process: International Journal, 2025
Background/purpose: The integration of artificial intelligence (AI) into child education presents transformative opportunities, yet Indonesian parental readiness remains insufficiently explored. This study examines parental preparedness, barriers to adoption, and policy interventions to ensure effective AI implementation in child education.…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Parents
Ibukun Osunbunmi; Taiwo Feyijimi; Stephanie Cutler; Yashin Brijmohan; Lexy Arinze; Viyon Dansu; Bolaji Bamidele; Jennifer Wu; Robert Rabb – Journal of Engineering Education, 2025
Background: Attrition of engineering students continues to be a concern in higher education. Despite indications that students who opt to leave engineering programs may go on to make meaningful contributions in other fields more aligned to their interests, it remains essential to support those who choose to stay in engineering with the necessary…
Descriptors: Artificial Intelligence, Technology Uses in Education, Engineering Education, Educational Research
Li, Liping; Zhu, Danli; Wu, Xinchun – Reading & Writing Quarterly, 2021
This study investigated whether listening comprehension played a mediator role between vocabulary and reading comprehension. 127 Mandarin-speaking children were longitudinally assessed at 6;4, 6;10, 7;4, and 7;10. Data were collected in four batteries of tests implemented at the beginning of first grade (T[subscript 1]); at mid-first grade…
Descriptors: Vocabulary Development, Listening Comprehension, Reading Comprehension, Emergent Literacy

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