Publication Date
In 2025 | 1 |
Since 2024 | 37 |
Since 2021 (last 5 years) | 78 |
Since 2016 (last 10 years) | 97 |
Since 2006 (last 20 years) | 103 |
Descriptor
Source
Author
Davy Tsz Kit Ng | 3 |
Ramon Mayor Martins | 3 |
Barnes, Tiffany, Ed. | 2 |
Christiane Gresse Von… | 2 |
Jiahong Su | 2 |
Neil Heffernan | 2 |
Samuel Kai Wah Chu | 2 |
Adam Tauman Kalai | 1 |
Ades, Tal | 1 |
Adesope, Olusola O. | 1 |
Adriano F. Borgatto | 1 |
More ▼ |
Publication Type
Education Level
Audience
Researchers | 2 |
Teachers | 2 |
Policymakers | 1 |
Location
China | 7 |
Indonesia | 6 |
Turkey | 6 |
Brazil | 5 |
Germany | 4 |
India | 4 |
South Africa | 4 |
Hong Kong | 3 |
Illinois (Chicago) | 3 |
Morocco | 3 |
Nigeria | 3 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Degrees of Reading Power Test | 1 |
Program for International… | 1 |
What Works Clearinghouse Rating
Bablu Karan – Technology, Pedagogy and Education, 2024
The rapid advent of artificial intelligence (AI) is influencing education systems at all levels. Understanding the wide-ranging potential implications of AI, the Indian Central Board of Secondary Education (CBSE) has produced an AI integration manual consisting of details, strategies and approaches to successfully integrate AI in teaching and…
Descriptors: Technology Integration, Artificial Intelligence, Secondary Education, Foreign Countries
Betty Exintaris; Nilushi Karunaratne; Elizabeth Yuriev – Journal of Chemical Education, 2023
Successful problem solving is a complex process that requires content knowledge, process skills, developed critical thinking, metacognitive awareness, and deep conceptual reasoning. Teaching approaches to support students developing problem-solving skills include worked examples, metacognitive and instructional scaffolding, and variations of these…
Descriptors: College Bound Students, Problem Solving, Metacognition, Scaffolding (Teaching Technique)
Tristan Kumor; Lida Uribe-Flórez; Jesús Trespalacios; Dazhi Yang – TechTrends: Linking Research and Practice to Improve Learning, 2024
There has been a limited amount of research that has attempted to determine teaching strategies using adaptive learning systems. Most studies have attempted to measure success of the use of these technologies based on improvements in students' test scores but have lacked to provide any information regarding the pedagogy implemented while using the…
Descriptors: High School Teachers, Mathematics Teachers, Teacher Attitudes, Teaching Methods
Scott Cameron; Carmel Mesiti – Mathematics Education Research Group of Australasia, 2024
In their daily work teachers are responsible for several complex tasks; might AI be harnessed to support teachers in the challenging work of planning lessons? In this paper we investigate the use of an AI tool, namely ChatGPT, to generate a lesson plan that may be of use to teachers in their planning. A carefully worded prompt, informed by…
Descriptors: Artificial Intelligence, Mathematics Education, Lesson Plans, Computer Assisted Instruction
Miao Yue; Morris Siu-Yung Jong; Davy Tsz Kit Ng – Education and Information Technologies, 2024
Artificial intelligence (AI) education is increasingly being recognized as essential at the K-12 level. For better understanding teachers' preparedness for AI education and effectively developing relevant teacher training programs, teachers' technological pedagogical content knowledge (TPACK) readiness and attitudes toward AI teaching must be…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teaching Methods, Artificial Intelligence
Sintha Wahjusaputri; Tashia Indah Nastiti; Bunyamin; Wati Sukmawati – Journal of Education and Learning (EduLearn), 2024
The objective of this study is to examine and assess the progress of utilizing artificial intelligence (AI) in teaching factory learning to enhance the digital skills of vocational high school (SMK) students in the province of Central Java. This study employed a qualitative approach utilizing meta-ethnography, as well as a quantitative approach…
Descriptors: Artificial Intelligence, Vocational High Schools, Foreign Countries, Digital Literacy
Predicting Primary and Middle-School Students' Preferences for Online Learning with Machine Learning
V. Selvakumar; Tilak Pakki Venkata; Teja Pakki Venkata; Shubham Singh – South African Journal of Childhood Education, 2023
Background: The COVID-19 pandemic has brought attention to student psychological wellness. Because of isolation, lack of socialisation and intellectual and physical development from excessive media use, primary and secondary school students are at high risk for health problems. Aim: This study aimed to identify the most effective machine learning…
Descriptors: Elementary School Students, Middle School Students, Preferences, Online Courses
Eric David Abrams – ProQuest LLC, 2024
ChatGPT and generative AI technologies have infiltrated our learning spaces, and, as a result, schools may be changed forever. While some educators may seek to ban the use of chatbots, motivated by a fear of the rampant plagiarism the technology might invite, I, however, write this dissertation with the intent of finding uses for AI as a…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, English Instruction
Michael E. Giordano – ProQuest LLC, 2024
The fast development and spread of artificial intelligence (AI) in the education field is prompting educational stakeholders to study how new AI technology will influence teaching and learning. The problem this basic qualitative study will address is the lack of teacher knowledge of artificial intelligence (AI) due to limited pedagogy, which is…
Descriptors: Teacher Attitudes, Artificial Intelligence, Educational Technology, Technology Uses in Education
William Joseph Fassbender – English Teaching: Practice and Critique, 2024
Purpose: This study builds on previous theoretical work that considered artificial intelligence (AI) and its potential for creating "teacher-centaurs" whose labor could be accelerated through the use of generative AI (Fassbender, in review). The purpose of this paper is to use empirical methods to study centaur teachers and the division…
Descriptors: Artificial Intelligence, Technology Uses in Education, Secondary School Teachers, Secondary Education
Ramon Mayor Martins; Christiane G. Von Wangenheim; Marcelo F. Rauber; Adriano F. Borgatto; Jean C. R. Hauck – ACM Transactions on Computing Education, 2024
As Machine Learning (ML) becomes increasingly integrated into our daily lives, it is essential to teach ML to young people from an early age including also students from a low socioeconomic status (SES) background. Yet, despite emerging initiatives for ML instruction in K-12, there is limited information available on the learning of students from…
Descriptors: Artificial Intelligence, Computer Science Education, Socioeconomic Status, Correlation
Zachary Opps – ProQuest LLC, 2024
As the use of artificial intelligence (AI), especially machine learning (ML), has dramatically increased, K-12 schools have begun to deliver AI education; however, little is known about teachers' views on the field. This qualitative study investigated how U.S. high school computer science (CS) teachers conceptualize AI, the role of AI in their CS…
Descriptors: Artificial Intelligence, High School Teachers, Computer Science Education, Teacher Education
Muhamad Taufik Hidayat – Journal of Learning for Development, 2024
The ability to comprehend reading material is a crucial skill for academic and professional success, yet many students struggle with it, negatively impacting their academic performance. This study aimed to assess the effectiveness of AI-based personalised reading platforms in improving reading comprehension among senior high school students. The…
Descriptors: Artificial Intelligence, Reading Comprehension, Academic Achievement, High School Students
Cathal Doyle; Stephen Ross; Cathy Buntting; Matt Boucher; Tanya Kotzé – set: Research Information for Teachers, 2023
This article reports on a case study from a larger project exploring ways in which online citizen science projects can enhance students' learning in science and in digital technology. In this case, two teachers integrated the digital technology curriculum with the science capability "interpreting representations" using the engaging…
Descriptors: Foreign Countries, Science Education, Grade 6, Grade 7
Xiaodong Huang; Chengche Qiao – Science & Education, 2024
Artificial intelligence is the unification of philosophy, cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, and uncertainty theory. Therefore, it is feasible and necessary to utilize STEAM (Science, Technology, Engineering, Liberal Arts, and Mathematics) education to learn artificial…
Descriptors: Thinking Skills, Artificial Intelligence, STEM Education, Art Education