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D. V. D. S. Abeysinghe; M. S. D. Fernando – IAFOR Journal of Education, 2024
"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…
Descriptors: Models, At Risk Students, Mentors, Undergraduate Students
Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
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
Månsson, Johanna; Stjernqvist, Karin; Serenius, Fredrik; Ådén, Ulrika; Källén, Karin – Journal of Psychoeducational Assessment, 2019
The study aim was to explore the relationship between a developmental assessment at preschool age and an intelligence quotient (IQ) assessment at school age. One hundred sixty-two children were assessed at 2.5 years with the Bayley Scales of Infant and Toddler Development--Third Edition (Bayley-III) and then at 6.5 years with the Wechsler…
Descriptors: Child Development, Infants, Intelligence Tests, Correlation
Blankson, A. Nayena; Gudmundson, Jessica A.; Kondeh, Memuna – Journal of Educational Psychology, 2019
Three aspects of cognition (fluid intelligence, executive functioning, and crystallized intelligence) in pre-K were examined as predictors of math and reading achievement in kindergarten among an economically diverse sample of 198 African American children. From a variable-centered perspective, confirmatory factor analyses revealed that the three…
Descriptors: Predictor Variables, Intelligence, Executive Function, Preschool Children
Bernardo, Allan B. I.; Cordel, Macario O., II; Lucas, Rochelle Irene G.; Teves, Jude Michael M.; Yap, Sashmir A.; Chua, Unisse C. – Education Sciences, 2021
Filipino students ranked last in reading proficiency among all countries/territories in the PISA 2018, with only 19% meeting the minimum (Level 2) standard. It is imperative to understand the range of factors that contribute to low reading proficiency, specifically variables that can be the target of interventions to help students with poor…
Descriptors: Foreign Countries, English (Second Language), Reading Ability, Artificial Intelligence
Mason, David; Capp, Simone J.; Stewart, Gavin R.; Kempton, Matthew J.; Glaser, Karen; Howlin, Patricia; Happé, Francesca – Journal of Autism and Developmental Disorders, 2021
Longitudinal studies have generally reported poor outcomes in adulthood for the majority of individuals (c.50-60%) with autism. Several factors putatively predict outcome (e.g. IQ), but findings remain mixed. This paper presents an updated meta-analysis of autism outcome studies and extends previous findings with additional analyses (including…
Descriptors: Autism, Pervasive Developmental Disorders, Intelligence Quotient, Adults
Goswami, Usha; Huss, Martina; Mead, Natasha; Fosker, Tim – Child Development, 2021
Phonological difficulties characterize children with developmental dyslexia across languages, but whether impaired auditory processing underlies these phonological difficulties is debated. Here the causal question is addressed by exploring whether individual differences in sensory processing predict the development of phonological awareness in 86…
Descriptors: Young Children, Dyslexia, Auditory Perception, Phonological Awareness
Roberta Renati; Steven Pfeiffer; Natale Salvatore Bonfiglio – Gifted Education International, 2025
This study examines the unique challenges of raising gifted children, focusing on two child-related risk factors for parental stress: cognitive asynchrony and stress management abilities. Path analysis revealed that poor stress management in children is associated with greater parental stress, as measured by the Difficult Child (DC) and…
Descriptors: Predictor Variables, Parent Attitudes, Stress Variables, Parent Child Relationship
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
Iddrisu Salifu; Francis Arthur; Bernard Yaw Sekyi Acquah; Ernest Opoku; Sharon Abam Nortey; Eric Boateng – Discover Education, 2025
This study based on an extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, examines factors influencing graduate students' behavioural intention towards adoption and actual use of generative artificial intelligence (GenAI). Using a cross-sectional data from 415 graduate students in Ghana, this study employed the partial…
Descriptors: Graduate Students, Technology Uses in Education, Artificial Intelligence, Foreign Countries
Minkai Wang; Jingdong Zhu; Gwo-Jen Hwang; Shao-Chen Chang; Qi-Fan Yang; Di Zhang – Journal of Computer Assisted Learning, 2025
Background: STEM education aims to develop innovation and problem-solving skills through interdisciplinary learning, yet struggles to foster student engagement and interdisciplinary thinking. Whilst alternate reality games (ARGs) can boost motivation via game-based problem-solving, integrating large language models (LLMs) remains underexplored.…
Descriptors: Learner Engagement, STEM Education, Natural Language Processing, Artificial Intelligence
Sri Surachmi W.; Tri Agustini Solihati; Laily Rahmatika; Musdalifah; M. Monjurul Islam; Sigit Haryanto – Online Learning, 2025
Despite the increasing use of generative artificial intelligence (GenAI) tools among students, limited research has examined the underlying mechanisms guiding their adoption in English as a Foreign Language (EFL) education. Drawing on the unified theory of acceptance and use of technology 2 (UTAUT2) and self-determination theory (SDT), this study…
Descriptors: English (Second Language), Second Language Learning, Technology Uses in Education, Artificial Intelligence
Agbaria, Qutaiba – Topics in Early Childhood Special Education, 2022
This study examined whether two facets of preschool children's home environment, parenting style and parental emotional intelligence, may be risk factors for challenging behaviors among kindergarten children in Arab society in Israel. The author sampled 524 parents of children ages 4 to 5 years who completed questionnaires about their parenting…
Descriptors: Foreign Countries, Child Rearing, Parenting Styles, Emotional Intelligence
Al Dhaheri, Ali – Journal for Multicultural Education, 2022
Purpose: The purpose of this study is to investigate the relationships between cultural intelligence (CQ) and both leadership style (MLQ) and leadership adaptability (LA), seeking to understand whether leaders with higher CQ will more frequently practise an adaptive and transformational leadership. Design/methodology/approach: Respondents are 167…
Descriptors: Cultural Awareness, Intelligence, Leadership Styles, Leadership Effectiveness

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