BOULDER, CO (November 26, 2024)—A recent three-part report from Bellwether explores the growing role of artificial intelligence (AI) in K-12 education and offers recommendations for policymakers and practitioners to navigate this emerging landscape.
In his review of the reports that make up Learning Systems: Shaping the Role of Artificial Intelligence in Education, T. Philip Nichols of Baylor University finds these recommendations to be unjustifiably skewed toward imagined future advantages of AI, instead of wrestling with its actual present risks.
The report’s stated aim is to provide a holistic picture of the opportunities and risks that AI presents for education stakeholders. Part of this aim involves highlighting current and potential uses of AI for streamlining administrative tasks and personalizing instruction; another part identifies challenges for capitalizing on these potentials. The report argues that educators have a responsibility to develop capacity and infrastructure to support the effective integration of AI in schools while trying to mitigate the risks involved in doing so.
However, these risks are downplayed as temporary obstacles, which undermines the report’s value. By allowing the projected benefits of AI to drive decisions related to its development and implementation, the report overlooks substantial research literature documenting its known limitations and harms. As a result, instead of the comprehensive view it purports to present, the report leans into the questionable potential future promised by AI’s developers and investors.
Professor Nichols praises the report’s goal of ensuring that technology adoption and implementation prioritizes equitable learning for all students. But, he concludes, the report falls short of meeting this goal because of its failure to grapple with the evidence about the thorniest issues.
Find the review, by T. Philip Nichols, at:
https://nepc.colorado.edu/review/learning-systems
Find Learning Systems: Shaping the Role of Artificial Intelligence in Education, written by Amy Chen Kulesa, Michelle Croft, Brian Robinson, Mary K. Wells, Andrew J. Rotherham, and John Bailey and published by Bellwether, at: https://bellwether.org/publications/learning-systems/