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Showing 1 to 15 of 166 results Save | Export
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Keri M. Guilbault; Yi Wang; Kimberly M. McCormick – Gifted Child Today, 2025
Artificial intelligence (AI) has the potential to revolutionize education by promoting personalized learning experiences and enhancing educators' efficiency. Generative AI tools like ChatGPT are increasingly used by K-12 teachers for lesson planning, differentiated instruction, and automated feedback. This article examines how ChatGPT, in…
Descriptors: Artificial Intelligence, Computer Uses in Education, Secondary School Students, Academically Gifted
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Xing, Danxia; Lu, Chun – Best Evidence in Chinese Education, 2021
The objective assessment of the development level of information and communications technology (ICT) in education can support the government in formulating and implement ICT policies. The article first introduced the Entire-Array-Polygon (EAP) indicator method and then designed an evaluation indicator system which containing five first indicators…
Descriptors: Foreign Countries, Computer Uses in Education, Evaluation Methods, Municipalities
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Carol Wild – International Journal of Art & Design Education, 2024
Teaching is increasingly defined through the syntax of cognitive science, by retrieval practice, spaced learning, and interleaving, generating a computational rhythm for learning as a system of inputs and outputs that builds up an individual's memory over time. This, I argue, is at odds with the choreography of art and design education as an…
Descriptors: Secondary School Students, Secondary School Teachers, Neurosciences, Art Education
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Tak, Sangdong; Catsambis, Sophia – Education and Information Technologies, 2023
Using national longitudinal data of students during their 9th and 11th grades, we address popular concerns over screen time activities distracting students' academic pursuits. We examine gender differences in the types of screen time use, expecting the skill-based activity of video gaming to be more common among boys and the socially oriented…
Descriptors: Grade 9, Grade 11, High School Students, Gender Differences
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Helene Friis Ratner – Discourse: Studies in the Cultural Politics of Education, 2024
It is well-known that digital learning materials influence the classroom curriculum and didactics. At the same time, few studies examine the role of the data visualizations offered by digital learning materials. Data visualizations signpost the emergence of students as data subjects who can be observed and compared on a computer screen. They thus…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Teachers, Secondary School Teachers
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Stojanovska, Marina; Mijic, Ivanka; Petruševski, Vladimir M. – Center for Educational Policy Studies Journal, 2020
The study aims to present the development of education in North Macedonia from the country's independence to the present day, as documented in several national reports and other official documents. The focus is on development and changes in chemistry education throughout the years of primary, secondary and higher education. Particular attention is…
Descriptors: Foreign Countries, Chemistry, Science Education, Educational Development
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Jankvist, Uffe Thomas; Misfeldt, Morten; Aguilar, Mario Sánchez – Educational Studies in Mathematics, 2019
Inspired by the entering of computer algebra systems (CAS) in the Danish upper secondary school mathematics program, this article addresses, from a theoretical stance, what may happen when traditional procedures are outsourced to CAS. Looking at the commands "solve" and "desolve," it is asked what happens when such CAS…
Descriptors: Computer Uses in Education, Algebra, Problem Solving, Foreign Countries
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Meates, Julie – Teachers and Curriculum, 2020
Since the evolution of the internet in 1969 and the inception of the personal computer in the early 1970s, a significant body of research has emerged that highlights the impacts of digital technology on education, health and human development. This paper reviews research in this area and examines the physical, mental, and social health effects on…
Descriptors: Computer Use, Addictive Behavior, Children, Adolescents
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Gadanidis, George – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to examine the intersection of artificial intelligence (AI), computational thinking (CT), and mathematics education (ME) for young students (K-8). Specifically, it focuses on three key elements that are common to AI, CT and ME: agency, modeling of phenomena and abstracting concepts beyond specific instances.…
Descriptors: Artificial Intelligence, Computation, Mathematics Education, Elementary School Mathematics
Echazarra, Alfonso – OECD Publishing, 2018
In the growing world of digital technology everything is about speed: computer processors have doubled their performance every two years for decades; the future 5G mobile phone generation is predicted to be about 100 times faster than the current 4G and 20 000 times faster than the "ancient" 3G; and, according to the International…
Descriptors: Internet, Computer Use, Use Studies, Adolescents
Shiota, Shingo; Sakai, Kyohei; Kobayashi, Keita – International Association for Development of the Information Society, 2016
This paper presents a new diagnostic system for information ethics education. In order to educate children about information ethics, it is necessary to know the stage at which they currently are in terms of their knowledge of the same. Some actual condition surveys have been conducted by the Cabinet Office and the National Police Agency to gauge…
Descriptors: Ethical Instruction, Diagnostic Tests, Internet, Computer Use
Montana Office of Public Instruction, 2021
The Montana Youth Risk Behavior Survey (YRBS) is administered by the Montana Office of Public Instruction every two years to students in grades 7 through 12. The purpose of the survey is to help monitor the prevalence of behaviors that not only influence youth health, but also put youth at risk for the most significant health and social problems…
Descriptors: National Surveys, Health Behavior, High School Students, Eating Habits
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Riegel, Caitlin; Mete, Rosina – Educational Planning, 2017
As technology continues to evolve, the gap between those who have grown up with technology (digital natives) and those who have not (digital immigrants) continues to widen. This gap is very present in the K-12 classroom, where both digital natives (students) and digital immigrants (teachers) work together. This gap highlights a stigma associated…
Descriptors: Educational Technology, Elementary Secondary Education, Elementary School Students, Secondary School Students
Fuster, Marc – OECD Publishing, 2022
The COVID-19 pandemic crisis has exposed the glaring inequities in school systems -- from the broadband and computers needed for online education to training teachers to keep classes going digitally. Most education systems were nimble: they rethought the curriculum, embraced hybrid learning, adjusted school calendars and schedules, and adapted…
Descriptors: Educational Trends, COVID-19, Pandemics, Futures (of Society)
Montana Office of Public Instruction, 2020
The Montana Youth Risk Behavior Survey (YRBS) is administered by the Montana Office of Public Instruction every two years to students in grades 7 through 12. The purpose of the survey is to help monitor the prevalence of behaviors that not only influence youth health, but also put youth at risk for the most significant health and social problems…
Descriptors: School Safety, Health Behavior, Risk, High School Students
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