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Kahveci, Nihat Gurel; Akgul, Savas – Gifted and Talented International, 2019
Numerous studies have been conducted on the interaction between creativity and intelligence; however, the results of these studies are not consistent. This study aims to understand this interaction by examining the mathematical creativity of gifted and general education students. The sample was collected in Turkey and consists of 176 gifted…
Descriptors: Creativity, Mathematics Skills, Intelligence, Academically Gifted
Stankov, Lazar; Lee, Jihyun – Journal of Intelligence, 2020
This paper examined the effects of training in creative problem-solving on intelligence. We revisited Stankov's report on the outcomes of an experiment carried out by R. Kvashchev in former Yugoslavia that reported an IQ increase of seven points, on average, across 28 tests of intelligence. We argue that previous analyses were based on a…
Descriptors: Intelligence Quotient, Comparative Analysis, Creativity, Problem Solving
Delhez, Julien – Research on Education and Media, 2020
This article provides an assessment of French media coverage of intelligence research. The analysis is based on articles published between 1992 and 2020 in French nationwide newspapers, local newspapers and science magazines. Two themes regularly appear in nationwide newspapers and science magazines: environmental effects on IQ and animal…
Descriptors: Foreign Countries, Mass Media, News Reporting, Intelligence
Kenyhercz, Flóra; Nagy, Beáta Erika – Early Child Development and Care, 2022
Low birthweight children are at risk for motor, language and cognitive delay in early childhood. The aim of the present study is the examination of cognitive skill development among 4-year-old preterm and low birthweight children in relation to demographical and perinatal variables. We utilized the Wechsler Preschool Primary Scales of…
Descriptors: Cognitive Development, Body Weight, Young Children, Social Influences
Ohio Coalition for the Education of Children with Disabilities, 2022
Children's ways of learning are as different as the colors of the rainbow. All children have different personalities, preferences and tastes; they all have a certain way they prefer to learn. Teachers and parents need to be aware of and value these differences. Children's brains develop faster from birth to age three than any other time, and more…
Descriptors: Educational Environment, Brain, Learning Processes, Intelligence Quotient
Evmorfia Konstantinidou; Ilias Mavroidis – European Journal of Open, Distance and E-Learning, 2025
This study investigates the readiness for online education of the active employees of the Independent Authority for Public Revenue (IAPR) of the Hellenic Republic and its relationship with their level of emotional intelligence. The aim of the present work is to provide usable data to the designers of online programmes as well as to the trainers,…
Descriptors: Emotional Intelligence, Electronic Learning, Learning Readiness, Job Training
William Neil Littell; Brittany L. Peterson – Communication Teacher, 2025
Artificial intelligence (AI) is fundamentally reshaping classroom experiences. In this activity, students in a graduate-level project management class engaged in real-time conversations with AI- powered chatbots as though they were actual people. Students were required to perform a stakeholder analysis on the key stakeholders involved in their…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Executive Function
Emmanuel Dumbuya – Online Submission, 2025
The exponential growth of online learning has catalyzed significant pedagogical innovations and transformed the educational landscape. This paper explores the emerging trends in online learning, including the shift towards blended learning, the rise of personalized learning, and the integration of technology-enhanced pedagogical practices. The…
Descriptors: Educational Trends, Electronic Learning, Educational Innovation, Teaching Methods
Hao-Chiang Koong Lin; Chun-Hsiung Tseng; Nian-Shing Chen – Educational Technology & Society, 2025
In recent years, learning programming has been a challenge for both learners and educators. How to enhance student engagement and learning outcomes has been a significant concern for researchers. This study examines the effects of AI-based pedagogical agents on students' learning experiences in programming courses, focusing on web game development…
Descriptors: Programming, Learner Engagement, Self Efficacy, Artificial Intelligence
Caroline V. Bhowmik; Mitja D. Back; Steffen Nestler; Friedrich-Wilhelm Schrader – Social Psychology of Education: An International Journal, 2025
Which behavioral and visual information do teachers rely on when judging relevant characteristics of their students and which cues should they rely on? Drawing on Brunswik's Lens Model (Perception and the representative design of psychological experiments, University of California Press, 1956. https://doi.org/10.1525/9780520350519), we…
Descriptors: Evaluative Thinking, Accuracy, Teacher Attitudes, College Students
Kristin Dutcher Mann – History Teacher, 2025
Historians sometimes view teaching and community engagement as peripheral to research. Self-reflection on the design of assignments, pedagogy techniques, and students' work aids teachers as they refine their teaching, and it can also inform research questions and methods. Teaching, research, and community engagement do not have to be separate…
Descriptors: Community Involvement, Authentic Learning, History Instruction, Teaching Methods
Galip Bedir; Ibrahim Benek; Eda Yuca; Ismail Donmez – Journal of Education in Science, Environment and Health, 2025
Artificial Intelligence (AI) emerges as the development of computer systems and software that imitate human abilities and perform human-like tasks. Understanding what gifted students think about this system that includes deep cognitive abilities is considered important. Based on this premise, this study examines the perceptions of gifted students…
Descriptors: Gifted, Student Attitudes, Freehand Drawing, Artificial Intelligence
Ran Liu; Wei Pang; Junming Chen; Vishalache A. P. Balakrishnan; Hai Leng Chin – Education and Information Technologies, 2025
In the context of globalization, adapting to modern educational needs and adopting innovative teaching methods have become increasingly crucial, particularly in the field of children's aesthetic education. This study explores the integration of scaffolding instruction and AI-driven diffusion models in children's aesthetic education, with a special…
Descriptors: Scaffolding (Teaching Technique), Artificial Intelligence, Aesthetic Education, Asian Culture
Peidi Gu; Fang Xu; Lingwei Chen; Zijie Ma; Madian Zhang; Yi Zhang – Education and Information Technologies, 2025
Conversational skills, which are essential for effective social interactions and typically pose difficulties for individuals with autism spectrum disorder (ASD), include abilities such as initiating topics, engaging in back-and-forth dialog, and responding to conversational cues. Chatbots have been used in mental health fields, and the development…
Descriptors: Technology Uses in Education, Artificial Intelligence, Interpersonal Communication, Communication Skills
Samuel Molina-Salmerón; Josué Rubén González-Ruiz; Julio Fuentesal-García; Aylin Fernández-Ortiz; Raul Baños – Journal on Efficiency and Responsibility in Education and Science, 2025
Objective: This study aimed to evaluate the effects of a physical-sports activity program in nature on life satisfaction, emotional intelligence, and anxiety in university students during COVID-19 mobility restrictions. Methods: a controlled trial was conducted involving 40 students from the Faculty of Sport Sciences, randomly assigned to either…
Descriptors: Physical Mobility, Physical Environment, Physical Activities, Life Satisfaction

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