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Sümeyye Arkan; Mustafa Serdar Köksal – Journal of the American Academy of Special Education Professionals, 2025
Sternberg's Theory of Successful Intelligence proposes a broader and more comprehensive view of intelligence beyond traditional measures like IQ. The theory consists of three main components: analytical, creative, and practical intelligence. The theory suggests that gifted individuals have more developed analytical, creative, and practical…
Descriptors: Foreign Countries, High School Students, Academically Gifted, Logical Thinking
Çaglar Çetinkaya – SAGE Open, 2023
This study examines the relationship between the intelligence and creativity scores of gifted and bright students according to the Threshold Theory. 1155 students participated in the study. Students are at the secondary school level. There are seven different regions in Turkey. The sample consists of participants from the largest provinces of the…
Descriptors: Intelligence, Creativity, Academically Gifted, Secondary School Students
Neset Demirci – Turkish Online Journal of Educational Technology - TOJET, 2025
In this study, the performance of artificial intelligence chatbots--OpenAI's ChatGPT, Google Gemini, and Microsoft's Copilot--was evaluated and compared based on their responses to questions from the Turkish Higher Education Entrance Physics Examination over the past three years. Analysis of the chatbots' responses to TYT Physics questions showed…
Descriptors: Artificial Intelligence, College Entrance Examinations, Physics, Science Tests
Anastasia Gouseti; Fiona James; Lee Fallin; Kevin Burden – Technology, Pedagogy and Education, 2025
Artificial Intelligence (AI) tools are becoming integrated into the domains of teaching, learning, assessment and administration of educational institutions. While these advances are seen to provide opportunities, new concerns have arisen about the ethics of AI use. This has precipitated the publication of various AI ethics guidelines, however,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Ethics
Fatma Merve Mustafaoglu; Fatma Alkan – Science Education International, 2025
Recycling waste is essential to mitigate environmental damage caused by human activity. Environmentally responsible behaviors, shaped during early ages, are closely linked to environmental attitudes, as demonstrated by prior research. This study aims to predict middle school students' recycling behaviors using machine learning algorithms. A…
Descriptors: Middle School Students, Recycling, Student Behavior, Artificial Intelligence
Bilge Bal-Sezerel; Deniz Arslan; Ugur Sak – Measurement: Interdisciplinary Research and Perspectives, 2025
In this study, the factorial invariance of the ASIS (Anadolu-Sak Intelligence Scale) was examined across time. Data were obtained from there groups of first-grade students who were administered the ASIS in 2020, 2021, and 2022. The analyses were conducted using multisample confirmatory factor analyses. Factorial invariance was tested with six…
Descriptors: Intelligence Tests, Grade 1, Factor Structure, Scores
Hakan Güldal; Emrah Oguzhan Dinçer – Education and Information Technologies, 2025
The purpose of this study was to investigate student perceptions and acceptance of a rule-based educational chatbot in higher education, employing the TAM (Technology Acceptance Model) framework. The researchers developed a rule-based chatbot for this purpose and examined the students' technology acceptance using qualitative research methods.…
Descriptors: Foreign Countries, Artificial Intelligence, College Students, Simulation
Sultan Narin; Zeynep Comert; Yavuz Samur – Turkish Online Journal of Distance Education, 2025
The metaverse, which has a history of about thirty years in written literature, became the agenda of humanity again in the first quarter of the twenty-first century. Although it seems almost impossible today to draw the boundaries of the experience that this technology, which arouses great excitement, will offer, it is possible to say that…
Descriptors: Teacher Attitudes, Technology Uses in Education, Affordances, Barriers
Sacip Toker; Mahir Akgun – Innovations in Education and Teaching International, 2025
This study examines whether assessments focused on higher-order cognitive skills can help reduce AI-driven plagiarism in educational settings. A total of 123 participants completed three tasks of increasing complexity, aligned with Bloom's taxonomy, across four groups: control, e-textbook, Google, and ChatGPT. Results from repeated-measures ANOVA…
Descriptors: Artificial Intelligence, Plagiarism, Intervention, Difficulty Level
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
Eyüp Yurt; Ismail Kasarci – International Journal of Technology in Education, 2024
This study introduces the Questionnaire of AI Use Motives (QAIUM), an instrument designed to measure motivation levels in individuals using artificial intelligence (AI) applications. Building on a theoretical framework that emphasizes motivation over dispositions and defines motivation as expectancy/value, the QAIUM aims to fill a research gap in…
Descriptors: Artificial Intelligence, Foreign Countries, College Students, Student Attitudes
Hacer Güner; Erkan Er; Gökhan Akçapinar; Mohammad Khalil – Educational Technology & Society, 2024
The revolutionary breakthrough of ChatGPT has significantly impacted various fields, including education. To produce maximum benefit in education from this innovative technology, it should be properly integrated into educational settings to create effective ways for learning while paying attention to ethical considerations. Understanding students'…
Descriptors: Artificial Intelligence, Technology Integration, Student Attitudes, College Students
Ahmet Uyar – Journal of Baltic Science Education, 2025
This study investigates the perspectives of STEM (Science, Technology, Engineering, and Mathematics) educators in Türkiye regarding the integration of Artificial Intelligence Tools (AITs) into STEM education (STEM-e). The research was conducted to address the lack of comprehensive studies exploring educators' experiences, challenges, and the…
Descriptors: STEM Education, Technology Integration, Artificial Intelligence, Technology Uses in Education
Muhammet Fatih Dogan; Mehmet Gültekin – International Journal of Education in Mathematics, Science and Technology, 2025
This study aims to reveal the applicability of the theory of multiple intelligences, based on daily life problem-solving skills, in primary school fourth-grade science courses. The study was conducted using an action research design. The participant group of the research consisted of 23 students, their parents, and the classroom teacher. The data…
Descriptors: Multiple Intelligences, Elementary School Science, Grade 4, Foreign Countries
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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