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Monteith, Barnas; Noyce, Pendred; Zhang, Pei – Science Teacher, 2022
This article describes a novel approach to teaching Artificial intelligence (AI) using artistic themes with a cohort of 20 high school students, ranging in age from 13 to 16 at the Beijing Academy, in Chaoyang District, Beijing, China. The elective class was conducted online by U.S.-based teachers as part of an ongoing partnership to provide…
Descriptors: Foreign Countries, Artificial Intelligence, High School Students, STEM Education
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Yu-Shan Chang; Yen-Yin Wang; Yu-Te Ku – Interactive Learning Environments, 2024
Given the importance of innovation, artificial intelligence (AI) education, and online learning during the COVID-19 pandemic, we explored the effects of science, technology, engineering, art, and mathematics (STEAM) hands-on learning on online AI learning and creativity. We also analyzed the effects of creative emotions on AI learning using facial…
Descriptors: Electronic Learning, STEM Education, Experiential Learning, Artificial Intelligence
Cruz, Ingrid Lorelei J. – ProQuest LLC, 2019
Research in this study investigated the effectiveness of robotics in promoting the critical thinking skills of middle school students in a public school classroom setting. The research began with an analysis of the effect of educational robotics in improving the critical thinking skills of middle school students. The researcher then sought to…
Descriptors: Robotics, Teaching Methods, Comparative Analysis, Pretests Posttests
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Puckett, Cassidy; Gravel, Brian E. – Teachers College Record, 2020
Background/Context: Many schools no longer track classes to increase access to courses at all levels, including science, technology, engineering, and mathematics (STEM) subjects. However, informal processes can "de facto" track students, placing them at the same level across subjects. Research shows that de facto tracking is prevalent in…
Descriptors: STEM Education, Access to Education, Track System (Education), Student Placement
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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