Glossary of Artificial Intelligence Terms for Educators (English and Spanish)
Part of Learning Sciences Research
This resource serves as an essential reference guide for educators learning about and implementing artificial intelligence (AI) systems and tools in their learning environments. The document provides clear, accessible definitions of key AI concepts in both English and Spanish, making it particularly valuable for diverse educational communities. The glossary covers fundamental AI terminology including concepts like algorithms, machine learning, and neural networks, and maintains a focus on learning applications, making complex technical concepts more understandable for educators seeking to integrate AI thoughtfully into their practice. It addresses critical considerations such as bias in training data, interpretable machine learning, and human-centered approaches to AI implementation. The resource emphasizes the importance of maintaining human agency in learning settings, advocating for AI as a tool to augment rather than replace teachers. This bilingual glossary of artificial intelligence terms for educators was authored by Pati Ruiz and Judi Fusco and translated to Spanish with collaboration from Martha P. Castellanos S. and Sara Suárez, Fundación Universitaria del Área Andina.
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This material is supported by National Science Foundation award 2229061 with previous support under award 2021159. Any opinions, findings, conclusions, or recommendations contained within InformalScience.org are those of the authors and do not necessarily reflect the views of NSF. This glossary was originally published on circls.org and is shared on informalscience.org with permission from the authors and CIRCLS.
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- https://hdl.handle.net/20.500.12265/259