Human Agency First.

Educators as Co-Designers of Educational AI Tools

Autors

Bogdan Novakovic; Giovanna Di Rossario.

Abstract

This contribution outlines a conceptual and design-based proposal for educators to participate in the pedagogical design of generative AI while keeping human agency at the center. As custom AI assistants and natural-language design tools becomeincreasingly accessible, educators could guide students through participatory design sessions in which they co-create classroom assistants inspired by philosophical figures such as Socrates, Plato, and Aristotle and use them in engaging classrom sessions led by educators. These assistants would function as pedagogical characters for exploring multiple viewpoints, questioning assumptions, and making the logic, limits, and risks of AI visible. Grounded in Laurillard’sConversational Framework, the proposal frames co-design as an iterative human-led process of dialogue, prompting, testing, feedback, and reflection, positioning educators as AI curators and student guardians who support critical thinking, AI literacy, and ethical responsibility.

Keywords

Generative AI; Participatory design; Human agency.

Bibliografia

Laurillard, D. (2013). Rethinking University Teaching: A Conversational Framework for the Effective      Use      of         Learning                     Technologies  (2nd              ed).                      Routledge.         (606935). https://research.ebsco.com/linkprocessor/plink?id=8b1016f2-8153-3736-aad3-ea26a54f4724 Mollick, E., & Mollick, L. (2023).Assigning AI: Seven Approaches for Students, with Prompts

(arXiv:2306.10052). arXiv. https://doi.org/10.48550/arXiv.2306.10052

Yang, Q., Steinfeld, A., Rosé, C., & Zimmerman, J. (2020). Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, CHI ’20, 1–13. https://doi.org/10.1145/3313831.3376301

Bødker, S., & Kyng, M. (2018). Participatory Design that Matters—Facing the Big Issues. ACM Trans. Comput.-Hum. Interact., 25(1), 4:1-4:31. https://doi.org/10.1145/3152421

Atari, M., Xue, M. J., Park, P. S., Blasi, D. E., & Henrich, J. (2023). Which humans? PsyArXiv. https://doi.org/10.31234/osf.io/5b26t

Starting in September, the full article will be available on ojs.gsdjournal.it