Publication Date
In 2025 | 0 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 10 |
Since 2016 (last 10 years) | 12 |
Since 2006 (last 20 years) | 12 |
Descriptor
Artificial Intelligence | 12 |
Ethics | 12 |
Foreign Countries | 7 |
Middle School Students | 7 |
Student Attitudes | 5 |
Learner Engagement | 4 |
Teaching Methods | 4 |
Automation | 3 |
College Students | 3 |
Computer Software | 3 |
Curriculum | 3 |
More ▼ |
Source
Author
Ali, Safinah | 2 |
Breazeal, Cynthia | 2 |
DiPaola, Daniella | 2 |
Anssi Lin | 1 |
Asya Asenova | 1 |
Cavalli-Sforza, Violetta, Ed. | 1 |
Chen Xinyu | 1 |
Cheng, Yihong | 1 |
Davy Tsz Kit Ng | 1 |
Desmarais, Michel, Ed. | 1 |
Devasia, Nisha | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 7 |
Collected Works - Proceedings | 3 |
Speeches/Meeting Papers | 2 |
Books | 1 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Education Level
Junior High Schools | 12 |
Middle Schools | 12 |
Secondary Education | 12 |
Elementary Education | 6 |
High Schools | 3 |
Higher Education | 3 |
Postsecondary Education | 3 |
Elementary Secondary Education | 2 |
Grade 6 | 2 |
Grade 7 | 2 |
Grade 8 | 2 |
More ▼ |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zhang, Helen; Lee, Irene; Ali, Safinah; DiPaola, Daniella; Cheng, Yihong; Breazeal, Cynthia – International Journal of Artificial Intelligence in Education, 2023
The rapid expansion of artificial intelligence (AI) necessitates promoting AI education at the K-12 level. However, educating young learners to become AI literate citizens poses several challenges. The components of AI literacy are ill-defined and it is unclear to what extent middle school students can engage in learning about AI as a…
Descriptors: Artificial Intelligence, Digital Literacy, Ethics, Middle School Students
Elif Ece Er; Muhammet Demirbilek – International Society for Technology, Education, and Science, 2023
In today's technology, there are rapid advances in the field of artificial intelligence. With the increasing involvement of artificial intelligence in daily activities, great changes are taking place in our habits. At this point, the necessity of educating students in accordance with the age of artificial intelligence emerges. Students'…
Descriptors: Middle School Students, Artificial Intelligence, Ethics, Student Attitudes
Ismaila Temitayo Sanusi; Fred Martin; Ruizhe Ma; Joseph E. Gonzales; Vaishali Mahipal; Solomon Sunday Oyelere; Jarkko Suhonen; Markku Tukiainen – ACM Transactions on Computing Education, 2024
As initiatives on AI education in K-12 learning contexts continues to evolve, researchers have developed curricula among other resources to promote AI across grade levels. Yet, there is a need for more effort regarding curriculum, tools, and pedagogy, as well as assessment techniques to popularize AI at the middle school level. Drawing on prior…
Descriptors: Artificial Intelligence, Middle School Students, Learner Engagement, Technology Uses in Education
Vladislav Slavov; Kamelia Yotovska; Asya Asenova – International Association for Development of the Information Society, 2023
Artificial intelligence (AI) technology is already challenging a variety of societal areas, including education. It is transforming education to data driven. AI-enhanced technologies in education (abbreviated AIinED) will have a significant role in changing the teaching and learning methods, as well as impacting the behavior and organization of…
Descriptors: Artificial Intelligence, High School Students, Student Attitudes, Technology Uses in Education
John Corry Werth; Peter Charles Sinclair Taylor; Elisabeth Taylor – Australian Mathematics Education Journal, 2024
Over the past 20 years, the authors have designed an interdisciplinary approach that integrates Arts-based methods into STEM education. This integrated STEAM education perspective is particularly useful for enabling students to develop (i) not only their traditional scientific (and mathematical) understanding of the outer world but also (ii) their…
Descriptors: Mathematics Instruction, Artificial Intelligence, Computer Software, STEM Education
Sanusi, Ismaila Temitayo; Oyelere, Solomon Sunday; Vartiainen, Henriikka; Suhonen, Jarkko; Tukiainen, Markku – Education and Information Technologies, 2023
The increasing attention to Machine Learning (ML) in K-12 levels and studies exploring a different aspect of research on K-12 ML has necessitated the need to synthesize this existing research. This study systematically reviewed how research on ML teaching and learning in K-12 has fared, including the current area of focus, and the gaps that need…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Educational Research, Research Needs
Davy Tsz Kit Ng; Chen Xinyu; Jac Ka Lok Leung; Samuel Kai Wah Chu – Journal of Computer Assisted Learning, 2024
Background: As the significance of artificial intelligence (AI) continues to increase, there is a need for effective scaffolding and support for novice learners. Educators have encountered challenges in effectively scaffolding novice learners AI concepts, and providing appropriate motivational support. Research evidence has shown the potential of…
Descriptors: Artificial Intelligence, Novices, Scaffolding (Teaching Technique), Game Based Learning
Williams, Randi; Ali, Safinah; Devasia, Nisha; DiPaola, Daniella; Hong, Jenna; Kaputsos, Stephen P.; Jordan, Brian; Breazeal, Cynthia – International Journal of Artificial Intelligence in Education, 2023
Artificial Intelligence (AI) is revolutionizing many industries and becoming increasingly ubiquitous in everyday life. To empower children growing up with AI to navigate society's evolving sociotechnical context, we developed three middle school AI literacy curricula: "Creative AI,| "Dancing with AI," and "How to Train Your…
Descriptors: Middle School Students, Artificial Intelligence, Ethics, Curriculum
Pedagogical Framework for Cultivating Children's Data Agency and Creative Abilities in the Age of AI
Juho Kahila; Henriikka Vartiainen; Matti Tedre; Eetu Arkko; Anssi Lin; Nicolas Pope; Ilkka Jormanainen; Teemu Valtonen – Informatics in Education, 2024
The integration of artificial intelligence (AI) topics into K-12 school curricula is a relatively new but crucial challenge faced by education systems worldwide. Attempts to address this challenge are hindered by a serious lack of curriculum materials and tools to aid teachers in teaching AI. This article introduces the theoretical foundations and…
Descriptors: Personal Autonomy, Data, Children, Creativity
Samantha M. Curle Ed.; Mustafa Tevfik Hebebci – Online Submission, 2023
The International Conference on Academic Studies in Technology and Education (ICASTE) is set to take place at Amara Premier Palace Hotel in Antalya, Turkey, from November 16-19, 2023. Organized by the International Society for Research in Education and Science (ISRES) and the International Society for Academic Research in Science, Technology, and…
Descriptors: Educational Technology, Artificial Intelligence, Higher Education, Learner Engagement
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis