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Divya Sadana; Rajnish Kumar Gupta; Sanjeev Jain; S. S. Kumaran; Jamuna Rajeswaran – Gifted and Talented International, 2024
The present study aimed to explore the association between creativity, intelligence, and personality. The study recruited sixty healthy volunteers in the age range of 20-40 years from Bengaluru city (formerly Bangalore), South India, and administered tests for fluid intelligence (Raven's Standard Progressive Matrices), personality (Big Five…
Descriptors: Creativity, Personality, Intelligence, Correlation
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Segundo Salatiel Malca-Peralta; Rosa Marilú Velarde Ruiz; Hilda Raquel Alarcón Lescano – Electronic Journal of Research in Educational Psychology, 2024
Introduction: The objective of the present study was to determine if emotional intelligence and family stress are predictors of satisfaction with studies in university students. Method: Cross-sectional predictive study with a quantitative approach. The population was made up of 414 university students of both sexes who applied the TMMS-24…
Descriptors: Emotional Intelligence, College Students, Stress Variables, Predictor Variables
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Rianne Suelmann; Eric Blaauw – Journal of Intellectual & Developmental Disability, 2025
Background: Addiction medicine still largely neglects the topic of mild and borderline intellectual disabilities (MBID), although patients with MBID are considered a risk group for substance-related problems and offending behaviour. This study aimed to explore the cognitive and adaptive impairments of inpatients in forensic addiction mental health…
Descriptors: Substance Abuse, Mild Intellectual Disability, At Risk Persons, Mental Health
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Józsa, Krisztián; Amukune, Stephen; Zentai, Gabriella; Barrett, Karen Caplovitz – Journal of Intelligence, 2022
Research has shown that the development of cognitive and social skills in preschool predicts school readiness in kindergarten. However, most longitudinal studies are short-term, tracking children's development only through the early elementary school years. This study aims to investigate the long-term impact of preschool predictors, intelligence,…
Descriptors: Foreign Countries, School Readiness, Intelligence Tests, Preschool Children
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Danaci, Miray Özözen; Dümenci, Sirma Seda Bapoglu – South African Journal of Education, 2022
The study reported on here was conducted to examine the consistency of the views of children and teachers in predicting the multiple intelligence areas of children at the end of the education programme provided in an enriched class based on multiple intelligence practices in a pre-school education institution. Using the…
Descriptors: Preschool Children, Intelligence, Multiple Intelligences, Preferences
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Michael Generalo Albino; Femia Solomon Albino; John Mark R. Asio; Ediric D. Gadia – International Journal of Technology in Education, 2025
Technology has contributed so much to the development and innovation of humankind. Artificial Intelligence (AI) is an off-shoot of such. This article explored the influence of AI anxiety on AI self-efficacy among college students. The investigators used a cross-sectional research design for 695 purposively chosen college students in one higher…
Descriptors: Anxiety, Artificial Intelligence, Self Efficacy, College Students
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Löffler, Christoph; Frischkorn, Gidon T.; Rummel, Jan; Hagemann, Dirk; Schubert, Anna-Lena – Journal of Intelligence, 2022
The worst performance rule (WPR) describes the phenomenon that individuals' slowest responses in a task are often more predictive of their intelligence than their fastest or average responses. To explain this phenomenon, it was previously suggested that occasional lapses of attention during task completion might be associated with particularly…
Descriptors: Attention Control, Reaction Time, Intelligence, Task Analysis
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Kirikkanat, Berke – International Journal for Educational and Vocational Guidance, 2023
Having effective career planning attitudes is a significant psychological resource for dealing with occupational burdens, unanticipated conflicts, and ambivalences in business area. The major purpose of the study was to reveal whether Turkish undergraduates' career planning attitudes were shaped by their trait emotional intelligence, cognitive…
Descriptors: Foreign Countries, Predictor Variables, Undergraduate Students, Student Attitudes
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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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Sadia Anwar; Ummi Naiemah Saraih – Journal of Applied Research in Higher Education, 2024
Purpose: Numerous studies have been conducted on psychological empowerment's effects on individual and organizational outcomes. This research study investigates the effects of emotional intelligence (EI) on psychological empowerment (PE) directly and indirectly through digital leadership (DL) in higher educational institutions (HEIs) in Pakistan.…
Descriptors: Emotional Intelligence, Psychological Patterns, Empowerment, Higher Education
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Brandt, Naemi D.; Lechner, Clemens M. – Journal of Intelligence, 2022
Fluid intelligence and conscientiousness are important predictors of students' academic performance and competence gains. Although their individual contributions have been widely acknowledged, less is known about their potential interplay. Do students profit disproportionately from being both smart and conscientious? We addressed this question…
Descriptors: Intelligence, Personality Traits, Individual Characteristics, Predictor Variables
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Alzubi, Emad Mohamad; Attiat, Madher Mohammad; Al-Adamat, Omar Atallah – Cypriot Journal of Educational Sciences, 2022
This study aimed to investigate the role of systemic intelligence factors in explaining cognitive flexibility and cognitive holding power among university students using measures of the aforementioned phenomena. A random sample of (519) students participated in this research, and it was found that factors relating to systemic intelligence could…
Descriptors: Intelligence, Predictor Variables, Cognitive Ability, College Students
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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
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Patricia Everaert; Evelien Opdecam; Hans van der Heijden – Accounting Education, 2024
In this paper, we examine whether early warning signals from accounting courses (such as early engagement and early formative performance) are predictive of first-year progression outcomes, and whether this data is more predictive than personal data (such as gender and prior achievement). Using a machine learning approach, results from a sample of…
Descriptors: Accounting, Business Education, Artificial Intelligence, College Freshmen
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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
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