EID655 V1

University of Pittsburgh. (2024). The hype and hope of generative AI in education. Bridges to Learning. Retrieved from https://www.ifl-news.pitt.edu/2024/02/the-hype-and-hope-of-generative-ai-in-education/
This article examines AI's potential in education, particularly in promoting equitable learning environments, addressing bias, and providing personalized feedback. It also raises concerns about ethical considerations like data privacy and bias in AI models.

(n.d.). Recommendation on the Ethics of Artificial Intelligence. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000381137
This resource from UNESCO focuses specifically on the ethical considerations surrounding the use of AI in education. It addresses issues like bias, fairness, privacy, and accountability. This reading is crucial for developing your awareness of the ethical implications of using AI in education, a key aspect of responsible implementation and design.

Artificial Intelligence in Education. (2024). ISTE. https://iste.org/ai
This toolkit from ISTE offers practical guidance and resources for educators interested in integrating AI into their teaching practices. It includes various modules covering topics like AI fundamentals, ethical considerations, and classroom applications. This resource provides a practical and accessible introduction to AI in education, with a focus on responsible implementation and pedagogical strategies.

Center for Innovation in Teaching and Learning. (n.d.). Generative AI implications for teaching and learning. University of Illinois Urbana-Champaign.
This resource provides practical approaches to integrating generative AI in educational contexts, including ethical considerations, assignment redesigns, and strategies to foster critical thinking while using AI. It also offers ideas for making learning more interactive and personalized.

Hardman, P. (2024). How to build a custom GPT for instructional design. Dr. Phil’s Newsletter [Substack].