As artificial intelligence(AI) is utilised throughout society, the need to improve AI literacy as an essential competency, not only for specific experts but also for general citizens, is increasing. Therefore, several studies are being conducted on AI education, and attempts are being made to introduce it into the regular education curriculum.…

The study aimed to develop a measure that enables gifted children to be picked out in early childhood through the nomination of teachers. In order to collect the data, a conceptual framework based on Gardner's theory of multiple intelligences was set to identify gifted children. Once the conceptual framework was created, a 64-item framework…

The Theory of Successful Intelligence defines intelligence as the integrated set of abilities and competencies in specific domains needed to attain success in life. Informed by this theory, we examined the dimensionality, reliability, and validity of an augmented intelligence test, Aurora-a, a 17-subtest assessment of analytical, practical, and…

In the modern era, students increasingly access digital tools like adaptive learning platforms to enhance self-regulated learning (SRL). This study developed and validated a Self-Regulated Learning Integrated Questionnaire (SRLIQ) tailored for offline and online learning environments, particularly in AI-driven platforms like the Taiwan Adaptive…

The present study sought to develop a scale to measure the values adoption of primary school children and explore whether emotional intelligence of primary school children is associated with values which are taught through curricular activities. First, the Value Adoption Scale (VAS) was developed in Study 1 by conducting exploratory factor…

The Aurora-a test battery was applied to 520 students who were between the ages of 9 and 12 attending public and private schools in Istanbul to create the Turkish version of the Aurora-a Intelligence Test Battery (Aurora-a_TR), which was developed for children aged 9-12 years based on the Triarchic Intelligence Theory. The three sub-test scores…

This study aimed to address the need for a comprehensive assessment tool to evaluate the mathematical abilities of first-grade students through cognitive diagnostic assessment (CDA). The primary challenge involved in this endeavor was to delineate the specific cognitive skills and sub-skills pertinent to first-grade mathematics (FG-M) and to…

Background: UNESCO reports that around 70 countries have adopted AI-related strategies, recognizing AI literacy as essential for preparing citizens in an AI-driven world. Yet, two key challenges remain: limited AI literacy development at the foundational level and persistent gender gaps in AI fields. Without early, inclusive education,…

Artificial intelligence (AI) education is becoming increasingly important worldwide. However, there has been no measuring instrument for diagnosing the students' current perspective. Thus the aim of this study was to develop an instrument that measures student attitudes toward AI. The instrument was developed by verifying the reliability and…

Nurturing student artificial intelligence (AI) competency is crucial in the future of K-12 education. Students with strong AI competency should be able to ethically, safely, healthily, and productively integrate AI into their learning. Research on student AI competency is still in its infancy, primarily focusing on theoretical and professional…

The main purpose of this research was to investigate empirically the Wechsler Intelligence Scale for Children -- the third Jordanian version (hereinafter WISC-III-Jordan) profiles to analyze cognitive factors for 'twice-exceptional' (2E) children characterizing 'mathematical giftedness with learning disabilities (MG/LDs). The paper examined…

Objective: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions with shared etiological and pathophysiological elements. In this paper, we attempt to differentiate these conditions among the young people in terms of intrinsic patterns of brain connectivity revealed during resting state using machine learning…

Magnet schools have been a main tool or innovation in urban education settings in the United States, originating in the early 1970's and expanding into most large urban districts today (Blank, 1989). While some magnet schools do not rely on a specific criterion to determine entry, many do. This study focuses on such a setting where students must…

Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…

Emotion recognition (ER) involves understanding what others are feeling by interpreting nonverbal behavior, including facial expressions. The purpose of this study is to evaluate the psychometric properties of a web-based social ER assessment designed for children in kindergarten through third grade. Data were collected from two separate samples…