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Artificial Intelligence in Higher Education: Faculty & Staff

An introduction to artificial intelligence, particularly generative AI and its impacts and ethical considerations for higher education. It includes resources for best use practices, potential instructional applications or mitigations.

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Practice Exercises

 

The practice exercises located throughout this LibGuide can serve as a practical starting point for faculty, librarians, staff, and students looking to get hands-on experience with generative AI tools using a critical lens: Introductory Practice Exercise, Practice Exercise - Citations List, Practice Exercise - Student Database Searching.

Instructional Guidance

✤ Cornell University's Center for Teaching Innovation offers many Teaching Resources, including a section on Generative Artificial Intelligence with consideration for academic integrity, accessibility, assignment design, ethical AI for teaching & learning, video resources & recordings, and curriculum mapping to support GAI integration.

✤ David E. Balch, PhD, and Robert Blanck, MA wrote Mitigating Hallucinations in LLMs for Community College Classrooms: Strategies to Ensure Reliable and Trustworthy AI-Powered Learning Tools for Faculty Focus in May 2024. They offer guidance for community college faculty in understanding the causes of AI confabulation and strategies to mitigate it for classroom learning.

✤ North Carolina State University's Teaching Resources site offers guidance on Designing Assignments and Activities with ChatGPT and Generative AI in Mind.

✤ Montana State University's Center for Faculty Excellence offers ideas on the incorporation and exploration of Assignments and Generative AI.

Activities & Assignments - AI Integration

✤ The University of Arizona's University Libraries created a GAI exercise for student research hosted in Google Docs: "Generate topics for your research paper with ChatGPT

✤ The practice exercises scattered throughout this LibGuide are a helpful introduction for new learners in using generative AI chatbots and teaching them to check for: accuracy, usefulness, and changes over time. They are Introductory Practice Exercise, Practice Exercise - Citations ListPractice Exercise - Student Database Searching.

Activities & Assignments - AI Mitigation

✤ NYU's Teaching and Learning Resources offers guidance on redesigning assignments to make the use of generative AI less relevant or appealing to students [2. Avoiding Use of Generative AI]. 

✤ U-Mass Amherst's Center for Teaching and Learning provides strategies and examples for AI-Immune Assignments in How Do I (Re)design Assignments and Assessments in an AI-Impacted World?.

Learning Opportunities

Conferences

M.I.T. RAISE Initiative. (2024 July 24-26). AI & Education Summit. https://raise.mit.edu/events/ai-education-summit/.

Free Online Courses

Google & M.I.T. RAISE. (n.d.) Generative AI for Educators. https://grow.google/ai-for-educators/.

University of Helsinki. Elements of AI. https://www.elementsofai.com/.

Part 1: Introduction to AI

Part 2: Building AI

[For organizations] Elements of AI for Business

Easy Sharing

To share this HCC Library AI LibGuide with students and colleagues, you can use the link or QRCode below:

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https://library.hccs.edu/AIGuide

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