Resources

Academic Sentate of California Community Colleges (ASCCC) Resources

• ASCCC Rostrum, November 2024 - Exploring the impacts of Artificial intelligence in higher education

Chancellor's Office Resources

• Generative AI and the Future of Learning - Vision 2030, California Community College Chancellor's Office

College/District Administrative Resources

• Curated AI Policy List (DE Coordinator Organization/DECO). Please add your college's policies to the list. 

• MiraCosta College - Guidance for AI Syllabus Language/Policies

• San Francisco City College, Academic Senate - Sample AI Classroom Language/Policies

Curriculum for Students

• College of the Canyons' Library offers non-credit courses for students on AI literacy and AI basics.You can see these courses in Canvas Commons this direct Commons link. Contact: James Glapa Grossklag

• MiraCosta College has a certificate of achievement and AA degree in Artificial Intelligence. Our catalog includes the required courses with descriptions and the public course outlines of record may also be viewed in our curriculum system. We have received a ZTC pathway grant for this program and that work is underway. Feel free to contact me directly if you’d like me to put you in contact with the lead faculty member for this program. Contact: Jim Julius (Cohort 1 participant)

• Reedley College is offering an Integrating  AI into Teaching course this summer 2025, which is part of Continuing Education Learning Academy (CELA) offerings. These courses are available for all to register for with the option of "students (faculty)" to purchase/enroll in higher education units through FPU for salary advancement. It was just approved through our curriculum.  Contact: Amanda Taintor

• Sacramento City College is developing a module related to AI literacy that faculty may choose to use in the college's first year experience course. The module is being developed as the deliverable for Sac City's Spring 2025 CoP, which includes faculty and a student (who is receiving compensation). Contact Don Button (Cohort 1 participant)

Canvas Commons - Help us curate more CCC AI resources to increase sharing across the system!

In commons, search for CCCAILearn to located shared AI resources shared by CCC colleagues. When you share a new AI resource, please add CCCAILearn to the Tags field. To add the tag to an existing resource you shared to the Commons, follow these steps: 

1. In Commons, select the Shared tab at the very top. That will show everything you've shared. 

2. Open one resource

3. Select Edit Resource

4. Scroll down to the Tags field enter CCCAILearn

5. Select Save Changes

Podcast

Innovating Higher Ed with. Dr. J. Hosted by Norma Jones. Special announcement: Norma has extended an open invitation for any of you to join as guests for her podcast to share about what's happening on your college and/or your own individual applications of/ experiences with AI. Contact Norma.

Every Learner Everwhere, (2023). A 5-part Community of Practice Framework for Educators.

• Playbook:  Adams, S., Tesene, M., Gay, K., Brokos, M., Swindell, A., McGuire, A., & Rettler-Pagel, T. (2023, Mar 7). Communities of Practice in Higher Education: A Playbook for Centering Equity, Digital Learning, and Continuous Improvement. Every Learner Everywhere. https://www.everylearnereverywhere.org/resources/ communities-of-practice-in-higher-education/ 

  • Summary of Playbook by Claude Sonnet 3.5

• Literature Review: Rettler-Pagel, T. (2023). Communities of practice in the higher education landscape: A literature review. Every Learner Everywhere.

• Summary of Lit Review by Claude Sonnet 3.5

Definitions

Artificial intelligence (AI) refers to machine learning systems that make predictions based on statistical models constructed from vast quantities of data. 

Generative AI (GAI or GenAI), also predictive, refers to AI that produces synthetic text, images, or video in response to a user’s prompt. 

Large language models (LLMs) are text-generation systems that use statistical calculations to predict the likelihood that words or parts of words will appear successively. They are trained on humanwritten text drawn from the Internet and other sources that have been digitized and produce a result based on a user’s prompt. LLMs involve various forms of human intervention behind the scenes, including human feedback and content moderation that influence their performance. 

Artificial general intelligence (AGI) refers to a potential future kind of AI with human-like intelligence that would be able to teach itself to solve problems and perform new tasks without prior training. This kind of AI does not yet exist.

Conversation Starters (Educator Perspectives about AI)

Showing Up for the Future: Why Educators Can't Sit Out the AI Conversation, a guest post by Lew Ludwig on Marc Watkin's Substack

Your AI Policy is Already Obsolete by Zach Justus and Nik Janos of CSU Chico, Inside Higher Ed, Oct 22, 2024.

Engaging with AI Isn't Adopting AI by Marc Watkin.

Ever Try an AI Sandwich? by Lew Ludwig

Cultivating Critical AI Literacies, Maha Bali - an episode of the Teaching in Higher Ed Podcast hosted by Bonni Stachowiak

Frameworks

Student Guide to AI Literacy, developed by by participants of the Critical AI Literacy for Reading, Writing, and Languages Workshop, an initiative of the MLA-CCCC Task Force on Writing and AI.

Building a Culture For Generative AI Literacy in College Language, Literature, and Writing (2024) from the MLA/CCCC Task Force on Writing and AI.

• A working paper that discusses what AI literacy looks like for students, faculty and administration.

EDUCAUSE AI Literacy in Teaching and Learning (ALTL) Framework for Higher Ed, (Georgieva, et al., Oct 2024)

Surveys

• MiraCosta survey of faculty on AI interests/concerns, fall 2024 (Google Form, please don't edit, hit the three dots at upper right and make a copy if you wish to adapt for your own use)

• SDSU AI Student Survey Resources

How AI Works

AI Pedagogy Project, metaLAB (at) Harvard

• AI Starter

• Large Language Model (LLM) Tutorial

• Quickstart Resources

YouTube Playlist - Practical AI for Instructors and Students by Wharton School, Ethan Mollick and Lillach Mollick.

Teaching Integration

Curated Collections for Teaching & Learning

• A Guide to Teaching and Learning with AI - PressBook by heidiestrem; jasonblomquist; and lizalong

• Artificial Intelligence Teaching Guide from Stanford University - A guide for introducing faculty to AI 

  • Workshop Kits

• AI Tools for Teaching and Learning, a Canvas course created and shared by CSU Monterey Bay

• A Super Short Student Orientation to AI by Anna Mills, CC-BY-NC

Assessment

• AI Assessment Scale (AIAS), Perkins, et al., 2024

  • Blog post/overview by Leon Furze

  • Canva Design Assets

• Assessment Ideas Assistant - an AI chatbot by Scott James*

  • Here's a sample prompt to get started: Produce a list of 10 authentic assessment ideas for diverse community college students that align with this outcome: Explain how genetic variation amongst individuals arises in populations and how genetic variation affects survival and reproduction. Incorporate intentional student use of Gen AI into each assessment. Assignments should draw upon students' real life experiences, values, relationships, aspirations. Include a rubric for each assessment.

    • Follow-up Prompt: Provide clear, step-by-step instructions and a rubric for this assignment: (paste one assignment generated through the previous prompt)

• Assignment Repository from AI Pedagogy Project, metaLAB (at) Harvard

• Book - TextGenEd: Continuing Experiments, (2024, August) by Carly Schitzler and Annette Vee

• What is Instructional Design and Why Its Important, by Scott James*

• Grossmont College AI Resources Module for Faculty: Search "Adelle Roe" in Commons--select the "Generative AI Faculty Resources Updated August" resource.

• Writing Assignment Example by Eugenia Novokshanova (shared on LinkedIn by Michelle Kassorla)

  • This assignment example use AI to teach students how to do a correct academic summary. The first paragraph, written by the student, was submitted to AI, then AI goes over each sentence, coaching the student to improve each section of the paragraph until the summary is complete. The student does the writing, not AI--and from the student reflections I got, this is not an easy assignment. It pushes them to improve every aspect of the paragraph. We check to make sure this is done correctly by requiring students provide us with their chat summaries. You can see the prompt and how this student struggled with the thesis statement in the chat summary.  

  • View student writing submission (on LinkedIn)

  • View Student's Chat Summary  including Prompt

Policy

• Policies and Considerations by Scott James*

Ethics

Algorithmic Bias

• Videos:

  • Safiya Noble, How biased are your algorithms?, TEDTalk, 2014.

  • Joy Buolamwini, How I'm fighting bias in algorithms, TEDTalk, 2016. Joy is the founder of the Algorithmic Justice League.

  • Joy Buolamwini, AI, Ain't I A Woman?, a spoken word piece that highlights the ways in which AI can misinterpret the images of iconic Black women. (3 1/2 minute video)

• Articles

  • AI Detectors Falsely Accuse Students of Cheating –A With Big Consequences, October 2024

  • AI Detection Tools Falsely Accuse International Students of Cheating, article summarizing a 2023 Stanford study

  • Shae Swauger, Our Bodies Encoded: Algorithmic Test Proctoring in Higher Education, 2020

By Leon Furze

• A collection of brief posts on related topics

• Infographic

Katie Datko,* Ed Te(A)ch

Norma Jones,* Innovating Higher Ed Podcast

Anna Mills,* Substack: AI, Writing, and Pedagogy

Ethan Mollick, One Useful Thing

Jason Gulya, The AI Edventure

*California Community College Educator

Curated Resources

• Instructure AI Resources Hub

• Tools and Prompting - curated by José Antonio Bowen

• AI Tool for Teachers - curated by Scott James,* Santiago Canyon College

• GenAI Digital Literacy Assignment Generator - Angela Cardinale, Chaffey College

Los Rios Community College District
Folsom Lake College
November 15, 2024

Six recorded sessions viewable on YouTube

1. "Science of Human Learning" - Dr. Candace Thille, Graduate School of Education, Stanford University

2. "Empowering the Future with Intel: Building AI Skills and Workforce Opportunities"

3. "What AI Can Do & What We Can Do About It"

4. "Professor Engagement with the California Learning Lab"

5. "The Khan Academy Presents: Khanmigo"

6. "State Chancellor's Office: Equity & Access in the Context of Technology, AI, & Digital Learning"