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Matthew D. Blanchard; Eugene Aidman; Lazar Stankov; Sabina Kleitman – Cognitive Research: Principles and Implications, 2025
A collective intelligence factor (CI) was introduced by prior research to characterise the cognitive ability of groups. Surprisingly, individual intelligence did not predict CI. Instead, it correlated with individual social sensitivity, the equality of conversational turn-taking, and the proportion of females in a group. However, these findings…
Descriptors: Intelligence, Cooperative Learning, Participative Decision Making, Metacognition
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
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
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
Pursun, Tugba; Efilti, Erkan – European Journal of Educational Research, 2019
This study aims to analyse the emotional intelligence scores of the special education teacher candidates for the predictor of multiple intelligences areas. This study was conducted through relational scanning model. 211 teacher candidates, 106 females and 105 males, participated in the study. Data were collected through Personal Information Form,…
Descriptors: Emotional Intelligence, Preservice Teachers, Special Education Teachers, Multiple Intelligences
Güler, Bahar; Turan, Serhat – Journal of Educational Issues, 2022
The aim of the research is to determine how much peer relationships are explained by emotional intelligence in adolescents. For this purpose, 539 (283 female+256 male) adolescent individuals participated in the study. "Personal Information Form", "Trait Emotional Intelligence-Adolescent Questionnaire Short Form (TEIQue-ASF)"…
Descriptors: Emotional Intelligence, Peer Relationship, Predictor Variables, Adolescents
Nursalim, Mochamad; Saroinsong, Wulan P.; Boonroungrut, Chinun; Wagino; Costa, Augusto da – Psychology in the Schools, 2023
The global health emergency, COVID-19, significantly influenced schooling in Indonesia. Students employed a variety of coping mechanisms to cope with unusual stress levels during confinement time. Hence, as students' COVID-19 resilience, investigation, and prevention were required for high and chronic stress connected with various disorders. This…
Descriptors: Prediction, COVID-19, Pandemics, Resilience (Psychology)
Çigdem Cantas; Cansu Soyer; Özgür Batur – Turkish Online Journal of Educational Technology - TOJET, 2024
This study aimed to investigate the impact of artificial intelligence (AI) anxiety on multi-dimensional 21st-century skills and lifelong learning among undergraduates. A quantitative method using a correlational research model was used to examine the relationships between AI anxiety, 21st-century skills, and lifelong learning levels, considering…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Anxiety
Kahraman, Meliha – International Journal of Psychology and Educational Studies, 2022
This study investigates the relationship between emotional intelligence and social anxiety levels of university students. The study data consisted of a total of 212 university students, 64% female (N=136) and 36% (N=76) male and data were collected from a state university in the west of Turkey. The relational model, one of the general models, was…
Descriptors: Foreign Countries, Correlation, Emotional Intelligence, Anxiety
Walter, Ofra; Routray, Surekha – College Student Journal, 2022
Attending university for the first time can be a stressful experience for young Indian students leaving home for the first time. They must cope with academic and social demands, which can affect their subjective well-being. In Indian culture, people view 'body-mind' as being heredity, which might help to cope and enhance SWB. The present study was…
Descriptors: College Freshmen, Psychological Patterns, Well Being, Self Concept
Amirian, Seyed Morteza; Amirian, Seyedeh Khadijeh; Kouhsari, Masoumeh – International Journal of Educational Management, 2023
Purpose: The purpose of this paper is to explore the critical roles of emotional intelligence, increasing job demands behaviour and subjective well-being in teachers' performance throughout their gender. Design/methodology/approach: In this study, the authors used multi-group structural equation modelling and mediation analysis of a sample of 602…
Descriptors: Emotional Intelligence, Well Being, Gender Differences, Elementary School Teachers
Self-Reported Social Impairments Predict Depressive Disorder in Adults with Autism Spectrum Disorder
Day, Talena C.; McNaughton, Kathryn A.; Naples, Adam J.; McPartland, James C. – Autism: The International Journal of Research and Practice, 2020
In adults with autism spectrum disorder, co-occurring psychiatric conditions are prevalent, and depression is one of the most common co-occurring disorders. This study examined the relationship between depression and cognitive ability, autism symptom severity, and self-reported social impairments in autism spectrum disorder. A total of 33 adults…
Descriptors: Adults, Autism, Pervasive Developmental Disorders, Predictor Variables
Nadziroh; Sunarso; Suyato – Educational Process: International Journal, 2025
Background/Purpose: This study investigates the effectiveness of integrating Artificial Intelligence (AI) with Problem-Based Learning (PBL) to enhance high school students' conflict resolution skills within the context of civic education. The initiative responds to the increasing need for pedagogical models that simultaneously foster ethical…
Descriptors: Conflict Resolution, Artificial Intelligence, Problem Based Learning, Citizenship Education
Xia, Qi; Chiu, Thomas K. F.; Chai, Ching Sing – Education and Information Technologies, 2023
Artificial intelligence (AI) has the potential to support self-regulated learning (SRL) because of its strong anthropomorphic characteristics. However, most studies of AI in education have focused on cognitive outcomes in higher education, and little research has examined how psychological needs affect SRL with AI in the K-12 setting. SRL is a…
Descriptors: Artificial Intelligence, Grade 9, Student Needs, Gender Differences
Maha Alghasab – Educational Process: International Journal, 2025
Background/purpose: Due to its significant potential, ChatGPT has recently revolutionized global education, particularly in the field of language learning. Against this backdrop, this study examines the perceptions of English as a Foreign Language (EFL) students regarding the use of ChatGPT to enhance their English language skills. It examines…
Descriptors: English (Second Language), Student Attitudes, Technology Uses in Education, Artificial Intelligence

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