Critical AI in K-12 Classrooms

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A01=Marie K. Heath
A01=Stephanie Smith Budhai
abolitionist
abolitionist frameworks for equitable tech
algorithm bias protecting marginalized students
artificial intelligence
artificial intelligence bias in education
Author_Marie K. Heath
Author_Stephanie Smith Budhai
bias
Category=JN
Category=JNK
Category=JNT
Category=JNV
Category=UYQ
ChatGPT
ChatGPT and language models for classroom use
classrooms
culturally responsive
culturally sustaining pedagogy with technology
education
educational technology
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
equity
fugitive
instruction
language learning models
LLM
pedagogy
responsible AI integration and ethical tech
schools
social justice
STEM
STEM education via critical social justice lens
teacher education
teachers
tech
technology

Product details

  • ISBN 9798895570180
  • Dimensions: 152 x 229mm
  • Publication Date: 21 Oct 2025
  • Publisher: Harvard Educational Publishing Group
  • Publication City/Country: US
  • Product Form: Paperback
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A practical guide for teachers and students navigating the complicated intersection of artificial intelligence, education, and justice

Artificial intelligence is rapidly integrating into today’ s classrooms, but unlike other new technologies, AI has the potential to harm, making it difficult to take advantage of its benefits. In Critical AI in K-2 Classrooms, Stephanie Smith Budhai and Marie K. Heath draw attention to the biases embedded within AI algorithms, such as those powering OpenAI's ChatGPT and DALL-E, to guide students and teachers in developing strategies to best incorporate AI-or not-into equitable learning.

AI's reliance on existing data and knowledge systems means Black, queer, those with disabilities, and other marginalized students are at greater risk of being harmed by built-in limitations and bias. Smith Budhai and Heath show how to circumvent if not actively resist such harms as machine learning, NLPs, LLMS, and GenAI enter the classroom, with practical examples rooted in culturally sustaining, abolitionist, and fugitive pedagogies across disciplines. Their practical guide creatively answers the concerns of educators committed to forward-thinking yet fair instruction and the needs of students eager to use AI for just ends.

Critical AI in K– 2 Classrooms meets the challenges of a key STEM technology with an eye toward cultivating a more just world. Balancing responsible learning with the joy of discovery, Smith Budhai and Heath build a framework for AI instruction that all educators can confidently use.

Stephanie Smith Budhai teaches in the Educational Technology program at the University of Delaware and is the recipient of an Excellence in Teacher Education Award from the International Society for Technology in Education (ISTE). She is a council chair for the Society for Information Technology and Teacher Education (SITE) and on the advisory boards of Tech amp Learning and the Association for Educational Communications and Technology’ s (AECT) Center of Excellence for Publishing.

Marie K. Heath is an associate professor of Learning Design and Technology and a faculty fellow at the Center for Leadership and Social Justice Education at Loyola University Maryland. She is coeditor of the social studies education section of Contemporary Issues in Technology and Teacher Education (CITE), and cofounder of the Civics of Technology project. She is a former high school social studies teacher in Baltimore County Public Schools.

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