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Designing Culturally Responsive Lessons Using AI

  • Year 2024
  • NSF Noyce Award # 2150961
  • First Name Eun Kyung
  • Last Name Ko
  • Institution National Louis University
  • Role/Position Co-PI
  • Proposal Type Workshop
  • Workshop Category Track 1: Scholarships and Stipends
  • Workshop Disciplines Audience Chemistry
  • Target Audience Co-PIs, Noyce Master Teachers, Noyce Teaching Fellows, Other Faculty/Staff, Project PIs, Undergraduate and/or Graduate Noyce Scholars
  • Topics Culturally Relevant Pedagogy
  • Additional Presenter(s)

    Vishodana Thamotharan (vthamotharan@nl.edu)

Goals

Participants will be able to learn and do the following: 1) describe the fundamentals of AI, including ethical implications; 2) utilize the AI to develop culturally responsive lesson plans and identify strengths and limitations of each; and 3) explain an effective way of prompting AI for culturally responsive instructional planning.

Evidence

Prepost results of General Attitudes towards Artificial Intelligence Teaching (Winter 2024, N=33), Paired t-test (p<.01) Prepost results of Culturally Responsive Teaching Self Efficacy Scale, Paired t-test (p<.01) Focus group interviews and AI journal entries: Provide positive feedback on the proper use of AI and help them brainstorm ideas. Easily customize and contextualize their teaching ideas with AI tools (e.g., Chicago local community resources) The final AI lesson plan includes more details and actionable CRTL connections compared to previous groups

Proposal

During this workshop, participants will explore how to utilize two AI tools (ChatGPT and MagicSchool AI) to design culturally responsive lessons. Through a 5Es hands-on inquiry approach, participants will: 1) Engage in collective discussion on understanding and implementation of AI; 2) Exploration of AI tools for lesson planning; 3) Explain their interpretation of a culturally responsive tool; 4) Elaborate their prompting to get culturally responsive lesson ideas; and 5) Evaluate implications of AI in designing culturally responsive lesson plans. The facilitators will share their practices associated with the study “The Role of AI in Becoming a Culturally Responsive STEM Teacher.” Preliminary results showed significant shifts in General Attitudes towards Artificial Intelligence Teaching (Shepman & Rodway, 2020) and Culturally Responsive Teaching Self Efficacy Scale (Siwatu, 2006) (paired t-test p<.01). Further insights from interviews and journal entries showed the positive impact of AI on teaching. Teachers appreciated constructive feedback on their use of AI and the support provided to brainstorm innovative ideas. Additionally, AI was instrumental in helping teachers customize and adapt their instruction to align with local contexts, such as tapping into Chicago’s community resources.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant Numbers DUE-2041597 and DUE-1548986. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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