Anticipated Outcomes
Students will
Strengthen language, writing, disciplinary literacy, critical thinking, and civic reasoning.
Draw on linguistic, cultural, and community knowledge to produce purposeful disciplinary work.
Develop AI literacy through the critical use of CyberScholar, including evaluating its information and feedback, recognizing bias and/or missing perspectives, and deciding when its support is useful.
Develop confidence, judgment, and intellectual agency as knowledge-makers.
Teachers will
Design and implement research-informed instruction grounded in students’ needs, disciplinary goals, standards, and local contexts.
Examine student learning and development over time.
Build practical expertise in using CyberScholar critically and purposefully, as an example of AI-supported teaching and learning.
Participate in sustained collaboration with researchers and fellow educators.
Schools and districts will
Gain adaptable, research-based approaches for strengthening multilingual and disciplinary learning.
Build teacher capacity around academic rigor, equity, ethics, and responsible AI use.
Generate classroom-based evidence to inform instructional practice.
Develop models for integrating AI support into teaching and learning in meaningful and responsible ways.
More information on the project and opportunities for participation here.
Our project, sponsored by a Spencer Foundation Large Grant, brings together K–12 teachers, students, and university researchers to design more engaging and effective approaches to literacy and learning in Spanish, English Language Arts, science, and social studies. We are also interested in exploring the affordances of generative AI, but this is not simply an AI project. We ask: How can we design learning in which students use their linguistic, cultural, intellectual, and technological resources to understand the world and create something meaningful within it?
Learning across boundaries
Students already move among languages, communities, media, identities, and ways of knowing. The syncretic approach proposed for the learning process treats these resources as strengths, bringing academic and everyday knowledge, multiple languages, and traditional and multimodal forms of communication into productive interaction. For multilingual learners, this means drawing on their full linguistic repertoires while developing the specialized language, genres, and ways of thinking valued across disciplines. Our goal is for students to become active knowledge-makers who connect new learning to what they already know, analyze ideas and perspectives critically, and apply their learning to meaningful problems and audiences.
Where does generative AI fit?
In this project, generative AI is a tool for learning and an object of critical inquiry, not a substitute for student thinking. The project will adapt CyberScholar, a pedagogical platform designed by University of Illinois researchers that provides multilingual generative AI support and allows us to examine how students use and learn from that support. Students will use this instructional resource to explore ideas, receive feedback, revise writing, compare perspectives, and experiment with ways of communicating while also questioning AI-generated language, perspectives, and feedback. The goal is not faster or less demanding writing, but more thoughtful, purposeful, and critical writing in which learners retain intellectual agency.
Teachers are designers, not recipients of a technology
Participating teachers will design curriculum units based on their students’ needs, disciplines, standards, and local contexts, with the researchers’ support. The project is deliberately collaborative: teachers’ knowledge of their students, communities, curricular goals, and classroom realities guides the design of the teaching and learning experiences.
Project Team
Mary Kalantzis, Ph.D. (Principal Investigator), Professor at the University of Illinois Urbana-Champaign (UIUC)
Kris D. Gutiérrez, Ph.D. (Co-Principal Investigator), Carol Liu Distinguished Professor at UC Berkeley
Gabriela C. Zapata, Ph.D. (Co-Principal Investigator), Associate Professor of Education at the University of Nottingham
John Jones, Ph.D. (Co-Investigator), Assistant Professor in Childhood Education at SUNY Cortland
Bill Cope, Ph.D. (Supporting Researcher), Professor at UIUC
Michele Galla, Ph.D. (Supporting Researcher), Postdoctoral Research Associate at UIUC
Anastasia-Olga (Olnancy) Tzirides, Ph.D. (Supporting Researcher), Research Scientist at UIUC
Duane Searsmith (Supporting Researcher), Software and AI Developer at UIUC
Patrick A. Bolger, Ph.D. (Supporting Researcher), Senior Lecturer in Psychology at Nottingham Trent University