Generating Constructionist Criteria for AI Educational Technology
How to Evaluate AI Tools to Help Students Build Knowledge
DOI:
https://doi.org/10.21240/constr/2025/35.XKeywords:
K-12 education, AI (artificial intelligence), educational technology, classroom teaching, constructionismAbstract
With so many artificial intelligence (AI) tools in the sphere of education, how do you choose the ones that enable constructionist learning for K-12 students? It is hard to stay apprised of every AI edtech tool that comes on the market, let alone take the time to critically evaluate its usefulness for constructionist learning environments. In this hands-on and highly collaborative workshop, participants will draw upon their personal experience with constructionist tools to collaboratively develop a set of criteria to define effective constructionist tools. This set of criteria will then be used to analyze AI tools. Participants will have time to tinker with their tool of choice to evaluate its affordances for constructionist learning. Finally, participants will share reviews of the tools they analyzed and any additional criteria they created for evaluating these AI edtech tools.This workshop provides a supportive environment for teachers, students, researchers, and other education experts to wrestle with the critical question of how we can utilize AI tools to empower students to construct their own knowledge. Participants will leave with peer reviews of AI tools, a deeper understanding of how AI can or cannot be used to construct knowledge, and possible inspiration for using AI as a tool for constructionist learning.
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Copyright (c) 2025 Lydia Guterman, Sarah Wharton, Mary Cate Gustafson-Quiett
This work is licensed under a Creative Commons Attribution 4.0 International License.
