Name: Bias and Ethics in AIEd in Relation to Equity and Justice in STEM Education
Start: 2025-11-12T18:00:00-06:00
End: 2025-11-12T19:00:00-06:00

A major topic in the current debates on AI in education (AIEd) focuses on both the opportunities and challenges of AI in the classroom, particularly involving students from minoritized groups or communities. The presentation consists of two parts. The first part of the presentation addresses key terms and concepts that have been used in two different fields: bias and ethics in AIEd and equity and justice in STEM education. The second part addresses research on equity and justice in STEM education with one minoritized student group, multilingual learners, and draws implications for bias and ethics with multilingual learners in AIEd. The presentation closes with a call for an integrated framework for key terms and constructs across the fields of AIEd and STEM education.

Agenda:
(Times are Central Daylight Time)
6:00pm - Brief intros
6:05pm - Talk by Dr. Francisco Iacobelli
6:45 pm – Q&A
7:00 pm - end

[Registration for Zoom Meeting](https://acm-org.zoom.us/webinar/register/WN_7FjzN5fQQMaQgyDv0ShcOA)
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Okhee Lee is a professor and Peter L. Agnew Professor of Education in the Steinhardt School of Culture, Education, and Human Development at New York University. She is committed to advancing research, policy, and practice that promote STEM and language learning for all students, particularly multilingual learners. Her work involves integrating science, language, and computational thinking with a focus on multilingual learners. Her latest work addresses justice-centered STEM education with multilingual learners by integrating multiple STEM subjects, including data science and computer science, to address societal challenges using the case of the COVID-19 pandemic.

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Bias and Ethics in AIEd in Relation to Equity and Justice in STEM Education

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Bias and Ethics in AIEd in Relation to Equity and Justice in STEM Education

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