Employing automatic analysis tools aligned to learning progressions to assess knowledge application and support learning in STEM

Employing automatic analysis tools aligned to learning progressions to assess knowledge application and support learning in STEM

Abstract We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students’ ability to apply content and pra...

Full description

Saved in:
Bibliographic Details
Main Authors: Leonora Kaldaras, Kevin Haudek, Joseph Krajcik
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:International Journal of STEM Education
Subjects:
Learning progressions
Artificial intelligence
Machine learning
Performance assessments
Knowledge application
STEM
Online Access:https://doi.org/10.1186/s40594-024-00516-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s40594-024-00516-0

Similar Items