AI Educational Resources

This section explores the diverse applications of AI for education. These materials will help faculty understand how AI can enhance teaching effectiveness and increase student learning and engagement. Examples of how This section provides descriptions of how AI can be used in the classroom, with specific examples from the 2024 Bingham Center for Teaching Excellence Faculty Learning Community on AI. 

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This section reviews different policies toward AI in the classroom. Including AI syllabus statements is crucial for setting expectations about the use of AI tools in the classroom. Such policies inform students about the ethical use of AI, outlines the permissible tools, and clarifies academic integrity standards. Here you will find extensive resources, regardless of how you want to use or not use AI, that will help you set the tone of AI use for your classroom.  

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This page addresses the ethical considerations and challenges of integrating AI in educational settings. Issues such as responsible use, fairness and diversity, transparency, and privacy will be addressed.

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This section demonstrates how AI can be aligned with course learning outcomes to enhance educational delivery. It provides strategies for integrating AI tools that complement learning objectives and improve assessment methods. 

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This page provides guidelines for faculty and students on how to attribute information derived from AI sources correctly. Understanding how to properly cite AI-generated content is essential for maintaining academic integrity. 

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This resource offers techniques and tools for detecting AI-generated work. As AI-generated content becomes more common, it's important for faculty to recognize its use in student work and understand the efficacy of AI detectors. 

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