Publication Date
In 2025 | 6 |
Since 2024 | 168 |
Since 2021 (last 5 years) | 370 |
Since 2016 (last 10 years) | 435 |
Since 2006 (last 20 years) | 464 |
Descriptor
Source
Author
Chiu, Thomas K. F. | 7 |
Davy Tsz Kit Ng | 5 |
Ramon Mayor Martins | 5 |
Samuel Kai Wah Chu | 4 |
Aleven, Vincent | 3 |
Baker, Ryan S. J. d. | 3 |
Barnes, Tiffany, Ed. | 3 |
Biswas, Gautam | 3 |
Chai, Ching Sing | 3 |
Chao, Jie | 3 |
Christina Clark | 3 |
More ▼ |
Publication Type
Education Level
Secondary Education | 465 |
High Schools | 175 |
Junior High Schools | 166 |
Middle Schools | 166 |
Elementary Education | 135 |
Higher Education | 75 |
Postsecondary Education | 75 |
Grade 8 | 39 |
Elementary Secondary Education | 38 |
Grade 7 | 29 |
Grade 9 | 21 |
More ▼ |
Location
Turkey | 30 |
China | 22 |
Hong Kong | 14 |
South Korea | 14 |
Taiwan | 11 |
Germany | 10 |
Indonesia | 10 |
Brazil | 9 |
Spain | 9 |
United Kingdom | 9 |
Philippines | 7 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 24 |
Trends in International… | 3 |
Massachusetts Comprehensive… | 2 |
Motivated Strategies for… | 2 |
Degrees of Reading Power Test | 1 |
Early Childhood Longitudinal… | 1 |
Youth Risk Behavior Survey | 1 |
What Works Clearinghouse Rating
Jessica Adams-Grigorieff – ProQuest LLC, 2023
With recent advances in generative artificial intelligence, it may come as no surprise that AI influences our society in profound ways. This dissertation project examines how educational and social media platforms and their algorithms shape educational practices and the identity, digital literacies and views of middle school youth participants.…
Descriptors: Digital Literacy, Critical Literacy, Algorithms, Artificial Intelligence
Kok-Sing Tang; Grant Cooper; Natasha Rappa; Martin Cooper; Craig Sims; Karen Nonis – Pedagogies: An International Journal, 2024
This paper explores the pedagogical potential of Generative Artificial Intelligence (GenAI) in secondary education through a dialogic approach to teaching, learning and assessment. It presents an ongoing action research project in collaboration with a high school in Western Australia, involving four teachers to integrate GenAI in their classrooms.…
Descriptors: Foreign Countries, Artificial Intelligence, Dialogs (Language), Inquiry
Sing, Chai Ching; Teo, Timothy; Huang, Fang; Chiu, Thomas K. F.; Xing wei, Wang – Educational Technology Research and Development, 2022
As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study…
Descriptors: Secondary School Students, Intention, Technology Uses in Education, Artificial Intelligence
Aung, Zaw Htet; Sanium, Soonthareeya; Songsaksuppachok, Chuenchat; Kusakunniran, Worapan; Precharattana, Monamorn; Chuechote, Suparat; Pongsanon, Khemmawadee; Ritthipravat, Panrasee – Journal of Computer Assisted Learning, 2022
Background: Artificial intelligence (AI) has gained increasing popularity in human society, and it is important to educate people about this emerging technology. Many countries have adopted school curricula to incorporate AI into their classrooms. However, developing tools for discovering AI concepts remains challenging. There are few studies on…
Descriptors: Artificial Intelligence, Junior High School Students, Grade 7, Grade 8
Fissore, Cecilia; Floris, Francesco; Marchisio, Marina; Sacchet, Matteo – International Association for Development of the Information Society, 2022
The concept of Artificial Intelligence (AI) might seem something very distant from the world of schools: a theme that is far from today's reality, especially when the education and training system is committed to tackling the problems associated with the pandemic situation. However, the impact that AI is producing in various areas of our life also…
Descriptors: Elementary School Teachers, Secondary School Teachers, STEM Education, Mathematics Education
Nguyen, Ha; Lopez, John; Homer, Bruce; Ali, Alisha; Ahn, June – Information and Learning Sciences, 2023
Purpose: In the USA, 22-40% of youth who have been accepted to college do not enroll. Researchers call this phenomenon summer melt, which disproportionately affects students from disadvantaged backgrounds. A major challenge is providing enough mentorship with the limited number of available college counselors. The purpose of this study is to…
Descriptors: Design, Artificial Intelligence, Man Machine Systems, Interaction
Stojanovic, Danijela; Bogdanovic, Zorica; Petrovic, Luka; Mitrovic, Svetlana; Labus, Aleksandra – Interactive Learning Environments, 2023
In this paper we present an approach to employing pervasive technologies, such as IoT and mobile technologies, in secondary education. The goal is to develop a comprehensive methodology, IoT infrastructure and a mobile application that would enable secondary students to test their knowledge in interaction with a smart environment. We have…
Descriptors: Learning Processes, Secondary School Students, Technology Uses in Education, Handheld Devices
Wyness, Gill; Macmillan, Lindsey; Anders, Jake; Dilnot, Catherine – Education Economics, 2023
Students in the UK apply to university with teacher-predicted examination grades, rather than actual results. These predictions have been shown to be inaccurate, and to favour certain groups, leading to concerns about teacher bias. We ask whether it is possible to improve on the accuracy of teachers' predictions by predicting pupil achievement…
Descriptors: Foreign Countries, Prediction, Grades (Scholastic), Expectation
Fjellman, Anna-Maria; Haley, Aimee – Policy Futures in Education, 2023
The article re-imagines the current developments of Swedish education into a possible future. Historically, education was organized and funded by the state; however, reforms towards privatization in the 1990s implemented school choice, private schools and a tax-financed voucher system with the option of turning profits on education. A new judicial…
Descriptors: Foreign Countries, Privatization, Educational Change, School Choice
Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training
Gorjan Nadzinski; Branislav Gerazov; Stefan Zlatinov; Tomislav Kartalov; Marija Markovska Dimitrovska; Hristijan Gjoreski; Risto Chavdarov; Zivko Kokolanski; Igor Atanasov; Jelena Horstmann; Uros Sterle; Matjaz Gams – Informatics in Education, 2023
With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills…
Descriptors: Data Science, Artificial Intelligence, Man Machine Systems, Vocational Education
Kaufmann, Esther; Budescu, David V. – Journal of Educational Measurement, 2020
The literature suggests that simple expert (mathematical) models can improve the quality of decisions, but people are not always eager to accept and endorse such models. We ran three online experiments to test the receptiveness to advice from computerized expert models. Middle- and high-school teachers (N = 435) evaluated student profiles that…
Descriptors: Mathematical Models, Computer Uses in Education, Artificial Intelligence, Expertise
Tim Gander; Brendon Shaw – Journal of Technology and Teacher Education, 2024
In an era where artificial intelligence (AI) is rapidly transforming various sectors, including education, understanding how educators perceive and integrate AI into their teaching practices is crucial. This study addresses the growing need to explore educators' perspectives on AI's impact on education, particularly its implications for effective…
Descriptors: Artificial Intelligence, Teaching Methods, Teacher Attitudes, Foreign Countries
Ramon Mayor Martins; Christiane Gresse von Wangenheim; Marcelo Fernando Rauber; Jean Carlo Hauck – International Journal of Artificial Intelligence in Education, 2024
Although Machine Learning (ML) is found practically everywhere, few understand the technology behind it. This presents new challenges to extend computing education by including ML concepts in order to help students to understand its potential and limits and empowering them to become creators of intelligent solutions. Therefore, we developed an…
Descriptors: Artificial Intelligence, Information Technology, Technology Uses in Education, Computer Software
Shiyan Jiang; Jeanne McClure; Hongjing Mao; Jiahui Chen; Yunshu Liu; Yang Zhang – Journal of Chemical Education, 2024
Artificial intelligence (AI) is rapidly transforming our world, making it imperative to educate the next generation about both the potential benefits and the challenges associated with AI. This study presents a cross-disciplinary curriculum that connects AI and chemistry disciplines in the high school classroom. Particularly, we leverage machine…
Descriptors: Chemistry, Secondary School Curriculum, Science Instruction, Artificial Intelligence
Xuanyi Chen – ProQuest LLC, 2024
AI-enabled educational tools have great potential for enhancing learning and teaching, yet there is a notable lack of study on AI-focused professional development for K-12 teachers. This phenomenological study employed the TPACK framework to examine teachers' incorporation of AI and engagement in professional development activities. The use of a…
Descriptors: Teacher Attitudes, Faculty Development, Artificial Intelligence, Technology Uses in Education