January 21, 2026

Advancing the Future of Civic Learning and Engagement Through Assessment

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Authors:
Eric M. Tucker and Eva L. Baker
This chapter examines how artificial intelligence (AI) has the potential to enhance the assessment of civic learning and engagement. It begins by highlighting the expanding demand for “difficult-to-measure” competencies—such as AI literacy, critical thinking, communication, and collaborative problem-solving—against the backdrop of a world increasingly shaped by AI-powered technologies. The chapter reviews traditional and emerging assessment methods in these domains, then proposes AI-fueled approaches for operationalizing civic skills. Working examples, including a mock civic advocacy project, a Global AI Debates initiative and an “engaged early” scenario illustrate how AI might elevate learning and assessment by surfacing authentic evidence and personalizing learner engagement. Alongside considering potential benefits of AI for test operations, the chapter signals concerns around fairness, equity, data privacy, and algorithmic bias. Grounded in fair, accountable, transparent, and ethical (FATE) principles, it offers strategies for potentially improving responsible AI integration. The chapter concludes with a call for conscientious adoption, underscoring how thoughtfully designed assessments and systems can deliver rigorous, innovative measures of civic engagement, empowering learners to become informed and active participants in a rapidly evolving democratic society.
Tucker, E. M., & Baker, E. L. (2026). Advancing the future of civic learning and engagement through assessment: How AI might power innovation in what and how we measure. In L. S. Hamilton, S. H. Rikoon, & D. Kidd (Eds.), Promoting K-12 civic learning and engagement through assessment (pp. 22–40). Routledge.
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