The Future of Learning: Equity, Innovation, and
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The Future of Learning: Equity, Innovation, and Faculty Responsibility in a Digital Age Presenters Wendy Brill-Wynkoop, College of the Canyons, ASCCC Legislative and Advocacy Committee Stephanie Curry, ASCCC North Representative
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01
The Future of Learning: Equity, Innovation, and Faculty Responsibility in a Digital Age<br>
02
Presenters • Wendy Brill-Wynkoop, College of the Canyons, ASCCC Legislative and Advocacy Committee
• Stephanie Curry, ASCCC North Representative
• Robert L. Stewart, Jr, ASCCC Vice President<br>
• Stephanie Curry, ASCCC North Representative
• Robert L. Stewart, Jr, ASCCC Vice President<br>
03
General Session Description As artificial intelligence and emerging technologies rapidly reshape higher education, faculty play a pivotal role in ensuring that innovation advances equity rather than deepens divides. This session will examine the opportunities and challenges AI presents for teaching, learning, and governance in the California Community Colleges. Participants will consider the implications of AI on curriculum, academic integrity, access, and student support, while exploring strategies to center equity and uphold faculty responsibility in guiding institutional responses.<br>
04
At the Speed of Light<br>
05
AI Spending in Higher Educatio (2022-2025)<br>
06
Projected Energy Impact of Generative AI (2023-2026)<br>
07
Student AI Usage in Higher Education (2022-2025)<br>
08
Vision 2030: Generative AI in Higher Education Webinar
September 2023 Concerns and Caveats
Bias
Ethics
Privacy
Accuracy & Hallucinations
Labor Market Impacts
Lack of good, clear, informed policy on use of generative AI in higher ed<br>
September 2023 Concerns and Caveats
Bias
Ethics
Privacy
Accuracy & Hallucinations
Labor Market Impacts
Lack of good, clear, informed policy on use of generative AI in higher ed<br>
09
The HUMANS Framework and Guiding Principles Human-Centered approach — Include humans in the design and testing process to achieve successful outcomes and ensure students, faculty, administrators and staff have equitable access to tools, training and solutions that minimize bias and improve outcomes.
Universal Support — Provide students, faculty, administrators and staff the option to opt out, where appropriate. Provide reliable access to a human qualified to quickly address and remedy problems.
Managed Privacy Controls — Give students, faculty, administrators and staff agency over how their personal data is collected and used. Set parameters that shield from abusive data practices via built-in protections and ensure only necessary student data is collected for the sole purpose of increasing access and support.
Algorithmic Discrimination Protections — Ensure algorithms and systems are designed in an equitable way and free of discrimination. Take appropriate and swift action to remedy tools found to be discriminatory.
Notice and Explanation — Provide sufficient notification to students, faculty, administrators and staff about the use of an automated system, how it impacts them and how it contributes to outcomes.
Safety and Security — Protect students, faculty, administrators and staff from unsafe or ineffective systems.<br>
Universal Support — Provide students, faculty, administrators and staff the option to opt out, where appropriate. Provide reliable access to a human qualified to quickly address and remedy problems.
Managed Privacy Controls — Give students, faculty, administrators and staff agency over how their personal data is collected and used. Set parameters that shield from abusive data practices via built-in protections and ensure only necessary student data is collected for the sole purpose of increasing access and support.
Algorithmic Discrimination Protections — Ensure algorithms and systems are designed in an equitable way and free of discrimination. Take appropriate and swift action to remedy tools found to be discriminatory.
Notice and Explanation — Provide sufficient notification to students, faculty, administrators and staff about the use of an automated system, how it impacts them and how it contributes to outcomes.
Safety and Security — Protect students, faculty, administrators and staff from unsafe or ineffective systems.<br>
10
Reality Check to New Reality Examples of tools that are now widely used and concerns about consultation
Canvas - Open AI Partnership
MOUs with Google Gemini and Microsoft Co-Pilot
Digital Center’s Digital Twin Project
Dreamscape Learn - Alien Zoo
Nectar AI
PlayLab<br>
Canvas - Open AI Partnership
MOUs with Google Gemini and Microsoft Co-Pilot
Digital Center’s Digital Twin Project
Dreamscape Learn - Alien Zoo
Nectar AI
PlayLab<br>
11
Defining Digital Equity: Ensuring all students have reliable internet access, up-to-date technology, and digital literacy skills necessary for full participation in education and society.
Why It Matters for CCC Students:
Nearly half of CCC students are low-income or from underserved communities.
Persistent digital divides in broadband, devices, and digital literacy hinder success in online and hybrid learning.
AI-integrated classrooms and tools risk widening inequalities if access and literacy gaps persist. Digital Equity<br>
Why It Matters for CCC Students:
Nearly half of CCC students are low-income or from underserved communities.
Persistent digital divides in broadband, devices, and digital literacy hinder success in online and hybrid learning.
AI-integrated classrooms and tools risk widening inequalities if access and literacy gaps persist. Digital Equity<br>
12
Statewide policy and legislation - what’s happening
Assembly Bill 2370 (2024) — Asm. Sabrina Cervantes — FACCC-sponsored. Requires that the “instructor of record” at California community colleges be a human faculty member meeting minimum qualifications, preventing AI from being used as instructional faculty.
Senate Bill 241 (2025) — Sen. Sabrina Cervantes — Extends the protections of AB 2370 to counselors, librarians, and other academic personnel by specifying that these roles must also be held by qualified human employees, not AI or automated systems.
Senate Concurrent Resolution 82 (2025) — Sen. Roger Niello — Urges the UC, CSU, and CCC systems to form a joint workgroup of faculty, staff, and administrators to develop AI strategies and best practices for higher education. Advocacy and Agency<br>
Assembly Bill 2370 (2024) — Asm. Sabrina Cervantes — FACCC-sponsored. Requires that the “instructor of record” at California community colleges be a human faculty member meeting minimum qualifications, preventing AI from being used as instructional faculty.
Senate Bill 241 (2025) — Sen. Sabrina Cervantes — Extends the protections of AB 2370 to counselors, librarians, and other academic personnel by specifying that these roles must also be held by qualified human employees, not AI or automated systems.
Senate Concurrent Resolution 82 (2025) — Sen. Roger Niello — Urges the UC, CSU, and CCC systems to form a joint workgroup of faculty, staff, and administrators to develop AI strategies and best practices for higher education. Advocacy and Agency<br>
13
CCCCO says they are facilitating agreements, but local control on whether or not to use? Is it locally controlled?
Are faculty/Local Academic Senates/Unions involved in conversations about the application? ALL groups, including students and classified, should also be involved.
Are districts more likely to accept and apply something that is “free” without consultation?
What are the future costs?
Senates can use 10+1 to get into these conversations but must be proactive and invite themselves in. What should we be doing Locally<br>
Are faculty/Local Academic Senates/Unions involved in conversations about the application? ALL groups, including students and classified, should also be involved.
Are districts more likely to accept and apply something that is “free” without consultation?
What are the future costs?
Senates can use 10+1 to get into these conversations but must be proactive and invite themselves in. What should we be doing Locally<br>
14
Consideration with Canvas integrations of OpenAI Faculty intellectual property
Faculty privacy
Workload and class size
Evaluations
use of AI to write evaluations
evaluating faculty members on the basis of AI use.
Transfer of faculty work to AI bots
Academic freedom and mandated use of AI
Professional development/learning<br>
Faculty privacy
Workload and class size
Evaluations
use of AI to write evaluations
evaluating faculty members on the basis of AI use.
Transfer of faculty work to AI bots
Academic freedom and mandated use of AI
Professional development/learning<br>
15
Academic Calendar
Faculty Evaluations
Tenure Review Process
Faculty Hiring Procedures (job duties and compensation)
Enrollment Management (class size, modality, and more)
Program Viability/Discontinuance
Office Assignment
Textbooks
Professional Development
Academic Freedom Working with your Collective Bargaining Units<br>
Faculty Evaluations
Tenure Review Process
Faculty Hiring Procedures (job duties and compensation)
Enrollment Management (class size, modality, and more)
Program Viability/Discontinuance
Office Assignment
Textbooks
Professional Development
Academic Freedom Working with your Collective Bargaining Units<br>
16
Replacement of Faculty Roles? Concerns on automation of faculty roles (may be used to assist but should not take over roles)
AI Counseling/Tutoring
Curriculum Creation/Turnkey courses
Grading and Assessment
Institutional Planning
Professional Development Agentic AI
Agentic AI refers to artificial intelligence systems that can autonomously make decisions and take actions to achieve goals with minimal human oversight. These systems are capable of independent reasoning, adaptable planning, and acting on their own to complete complex, multi-step tasks. Unlike traditional AI that requires direct instructions, agentic AI can understand context, use tools, learn, and adapt to achieve objectives.<br>
AI Counseling/Tutoring
Curriculum Creation/Turnkey courses
Grading and Assessment
Institutional Planning
Professional Development Agentic AI
Agentic AI refers to artificial intelligence systems that can autonomously make decisions and take actions to achieve goals with minimal human oversight. These systems are capable of independent reasoning, adaptable planning, and acting on their own to complete complex, multi-step tasks. Unlike traditional AI that requires direct instructions, agentic AI can understand context, use tools, learn, and adapt to achieve objectives.<br>
17
AI Literacy- “Access without literacy is dangerous” WITHOUT LITERACY
Students may pick up tips and tools from social media or peers and see AI as a shortcut
Risk of misuse of AI
Lack of Critical Thinking/ Easy Button
Vulnerable to misinformation WITH LITERACY
Students are taught to effectively prompt and iterate, using AI as a thought partner
Expands Curiosity
Encourages deeper exploration and critical thinking
Build agency of researcher in directing learning<br>
Students may pick up tips and tools from social media or peers and see AI as a shortcut
Risk of misuse of AI
Lack of Critical Thinking/ Easy Button
Vulnerable to misinformation WITH LITERACY
Students are taught to effectively prompt and iterate, using AI as a thought partner
Expands Curiosity
Encourages deeper exploration and critical thinking
Build agency of researcher in directing learning<br>
18
P - Prompt with Purpose
Master the Art of AI Conversation. Think of AI like that super-smart friend who gives great advice when you ask the right questions. Learn to "speak AI" by crafting clear, specific prompts that get you the helpful, accurate answers you're actually seeking.
E - Ensure Ethics
Be an AI Ethics Champion. Just because you can, doesn't mean you should. Know the rules of the road for using AI responsibly – both the big-picture stuff that matters to society and the specific guidelines that apply in your workplace or school.
O - Observe and Verify
Become an AI Fact-Checker. AI can sometimes be so confident and yet so wrong. Build healthy skepticism and habits to catch and correct factual issues: watch for gaps, bias, or implausible claims; ask for sources or summaries; cross-check with trusted references; adjust your prompt; and edit before you use the output.
P - Personify wisely
AI is a predictive processor, not a person. AI is a predictive processor, not a person. It doesn't think or feel, it estimates the next likely word or pixel patterns in data. That smooth fluency can tempt us to humanize it, much like when we joke that a stubborn printer “doesn’t want to cooperate.” Generative AI isn’t trying, it’s forecasting. Use it, test it, and verify it, but don’t attach motives or emotions to its outputs.
L - Learn the Fundamentals
Know Your AI Basics. You don’t need to be a computer scientist to use AI well, but understanding a few core concepts about how GenAI works changes everything: they help you ask better questions, spot failures, set fair expectations, and design workflows that are accurate, replicable, and ethically sound.
E - Evolve Continuously
Stay Curious and Keep Learning. AI moves faster than traffic on the Golden State Freeway. What works today might be outdated tomorrow, and new possibilities pop up constantly. Embrace being a lifelong learner. Your future self will thank you. Chancellor’s Office: The Essential Elements of AI Literacy<br>
Master the Art of AI Conversation. Think of AI like that super-smart friend who gives great advice when you ask the right questions. Learn to "speak AI" by crafting clear, specific prompts that get you the helpful, accurate answers you're actually seeking.
E - Ensure Ethics
Be an AI Ethics Champion. Just because you can, doesn't mean you should. Know the rules of the road for using AI responsibly – both the big-picture stuff that matters to society and the specific guidelines that apply in your workplace or school.
O - Observe and Verify
Become an AI Fact-Checker. AI can sometimes be so confident and yet so wrong. Build healthy skepticism and habits to catch and correct factual issues: watch for gaps, bias, or implausible claims; ask for sources or summaries; cross-check with trusted references; adjust your prompt; and edit before you use the output.
P - Personify wisely
AI is a predictive processor, not a person. AI is a predictive processor, not a person. It doesn't think or feel, it estimates the next likely word or pixel patterns in data. That smooth fluency can tempt us to humanize it, much like when we joke that a stubborn printer “doesn’t want to cooperate.” Generative AI isn’t trying, it’s forecasting. Use it, test it, and verify it, but don’t attach motives or emotions to its outputs.
L - Learn the Fundamentals
Know Your AI Basics. You don’t need to be a computer scientist to use AI well, but understanding a few core concepts about how GenAI works changes everything: they help you ask better questions, spot failures, set fair expectations, and design workflows that are accurate, replicable, and ethically sound.
E - Evolve Continuously
Stay Curious and Keep Learning. AI moves faster than traffic on the Golden State Freeway. What works today might be outdated tomorrow, and new possibilities pop up constantly. Embrace being a lifelong learner. Your future self will thank you. Chancellor’s Office: The Essential Elements of AI Literacy<br>
19
10+1 = Professional Development
AI- Generative and Agentic
Processes and Policies
AI Literacy
Support by Discipline
Curriculum Development
Senates can take the lead in this focus.
Tech companies are already promoting their own AI literacy. What is the role for Community Colleges?
Faculty can take the lead in AI Literacy and supporting AI centric professional learning
It can be embedded in assignments, classes, support and research AI Literacy and Professional Development<br>
AI- Generative and Agentic
Processes and Policies
AI Literacy
Support by Discipline
Curriculum Development
Senates can take the lead in this focus.
Tech companies are already promoting their own AI literacy. What is the role for Community Colleges?
Faculty can take the lead in AI Literacy and supporting AI centric professional learning
It can be embedded in assignments, classes, support and research AI Literacy and Professional Development<br>
20
Agendize discussions of AI Policy and Practice at your Local Academic Senates and Unions
Support, Provide and Promote Professional Development/Learning for faculty
Advocate for ability for faculty to innovate and use AI in classes to address class outcomes
Proactively engage district Tech Services on AI purchases or implementation
Work with local Student Governments and Classified Senates on shared issues
Keep connected to resources, legislation and updates from CCCCO, ASCCC, FACCC, SSCCC and CCLC What you can do<br>
Support, Provide and Promote Professional Development/Learning for faculty
Advocate for ability for faculty to innovate and use AI in classes to address class outcomes
Proactively engage district Tech Services on AI purchases or implementation
Work with local Student Governments and Classified Senates on shared issues
Keep connected to resources, legislation and updates from CCCCO, ASCCC, FACCC, SSCCC and CCLC What you can do<br>
21
Resources ASCCC (Academic Senate for California Community Colleges) Resources
Academic Integrity Policies in the Age of Artificial Intelligence (PDF) Guiding principles, sample syllabus language, and the role of local academic senates in addressing AI use and academic integrity.
Evaluating Artificial Intelligence (AI) Tools in an Academic Setting Framework for assessing AI tools across ethical, pedagogical, and usability criteria — a key guide for local senates and curriculum committees.
Artificial Intelligence (AI), Open Educational Resources (OER), and Art History: A Conversation An ASCCC OERI webinar exploring AI’s role in discipline-specific teaching and OER development.
AI-Powered Education: Authentic Assessments and Learning An article discussing AI’s potential to enhance authentic assessment and learning in community college classrooms.
Artificial Intelligence, Generative AI, and Ethics: An Educational Perspective Overview of AI’s implications for curriculum, ethics, and equity in higher education
CCCCO (California Community Colleges Chancellor’s Office) & System-Level Resources
Generative AI and the Future of Learning CCCCO’s strategic direction for integrating AI under Vision 2030, including systemwide innovation and professional development.
AI Professional Development & Learning Opportunities Collection of webinars, workshops, and learning resources for faculty and administrators.
AI Mobilization Framework – Distributed Leadership for System-Wide Innovation (PDF) Outlines leadership and collaboration strategies for implementing AI system-wide with equity and innovation.
Digital Center for Innovation, Transformation and Equity Describes CCCCO’s hub for AI, technology, and equity-centered innovation across the system.
FoundationCCC AI Hub Partnership initiative supporting AI research, ethics, workforce alignment, and student-centered design across California’s community colleges.<br>
Academic Integrity Policies in the Age of Artificial Intelligence (PDF) Guiding principles, sample syllabus language, and the role of local academic senates in addressing AI use and academic integrity.
Evaluating Artificial Intelligence (AI) Tools in an Academic Setting Framework for assessing AI tools across ethical, pedagogical, and usability criteria — a key guide for local senates and curriculum committees.
Artificial Intelligence (AI), Open Educational Resources (OER), and Art History: A Conversation An ASCCC OERI webinar exploring AI’s role in discipline-specific teaching and OER development.
AI-Powered Education: Authentic Assessments and Learning An article discussing AI’s potential to enhance authentic assessment and learning in community college classrooms.
Artificial Intelligence, Generative AI, and Ethics: An Educational Perspective Overview of AI’s implications for curriculum, ethics, and equity in higher education
CCCCO (California Community Colleges Chancellor’s Office) & System-Level Resources
Generative AI and the Future of Learning CCCCO’s strategic direction for integrating AI under Vision 2030, including systemwide innovation and professional development.
AI Professional Development & Learning Opportunities Collection of webinars, workshops, and learning resources for faculty and administrators.
AI Mobilization Framework – Distributed Leadership for System-Wide Innovation (PDF) Outlines leadership and collaboration strategies for implementing AI system-wide with equity and innovation.
Digital Center for Innovation, Transformation and Equity Describes CCCCO’s hub for AI, technology, and equity-centered innovation across the system.
FoundationCCC AI Hub Partnership initiative supporting AI research, ethics, workforce alignment, and student-centered design across California’s community colleges.<br>