ERIC Number: ED672731
Record Type: Non-Journal
Publication Date: 2025-Feb
Pages: 36
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: 0000-00-00
The Potential of Using AI to Improve Student Learning in STEM: Now and in the Future
Namsoo Shin; Kevin Haudek; Joseph Krajcik
Community for Advancing Discovery Research in Education (CADRE)
In this brief, authors Namsoo Shin, Kevin Haudek, and Joseph Krajcik explore how artificial intelligence (AI) can serve as a transformative learning partner in K-12 STEM education. They describe theoretical foundations of using AI in STEM education and the importance of fostering an integrated understanding of STEM content. The brief examines AI's potential to offer personalized support, scaffold cognitive and metacognitive processes, and enhance student motivation and collaboration. Additionally, the authors consider how AI can promote access to STEM learning, while also addressing the need to identify and mitigate biases in AI system development to ensure broad and effective application.
Descriptors: Artificial Intelligence, STEM Education, Computer Uses in Education, Elementary Secondary Education, Individualized Instruction, Scaffolding (Teaching Technique), Cognitive Processes, Metacognition, Student Motivation, Learner Engagement, Cooperative Learning, Futures (of Society), Educational Trends
Community for Advancing Discovery Research in Education (CADRE). Education Development Center, Inc. 43 Foundry Avenue, Waltham, MA 02453. Tel: 617-969-7100; Web site: https://cadrek12.org/
Publication Type: Reports - Evaluative
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF), Discovery Research PreK-12 (DRK-12); National Science Foundation (NSF)
Authoring Institution: Community for Advancing Discovery Research in Education (CADRE)
Grant or Contract Numbers: 2100823; 2100964; 2200757; 2201068
Author Affiliations: N/A