Artificial Intelligence (AI) is transforming how we learn, work, and innovate.
At Springfield Technical Community College, we enable educators and students to
apply AI responsibly—boosting productivity, sparking innovation, and thriving in an AI-driven world
Review syllabi statements surrounding the use of Artificial Intelligence [AI]. Consider using one of these in your syllabi and communicate to your students how AI will be used in your classroom.
Share these tips with your students who might want to use AI.
Explore the STCC Academic Honesty found in the Student Conduct Statements and Policies.
Scroll down this page to find more AI Resources. Search our STCC library which has numerous AI resources for faculty.
Watch How artificial intelligence is reshaping college for students and professors.
This session will be a hands-on workshop using Dr. Lance Eaton’s AI resources and slides, with a particular focus on:
AI Guides to Academic Programs
AI Entry Points for Teaching and Learning
Together, we will explore how these frameworks can support thoughtful, intentional integration of AI into courses, programs, and academic support areas.
What to Expect
Guided exploration of Dr. Eaton’s materials
Small-group and individual workshopping and brainstorming
Time to generate practical ideas you can apply to your own teaching, course design, program work, or student support roles
Who Should Attend
Faculty: Please come prepared to brainstorm AI-related ideas for your course(s), department and/or teaching practices.
Staff: You are warmly invited and encouraged to attend. There will be specific activities designed for staff roles, including programmatic, support, and operational perspectives on AI use in higher education.
No prior AI expertise is required—just a willingness to explore, discuss, and experiment.
We hope you’ll join us for a collaborative conversation as we continue building our shared comprehension of AI’s role in our academic community.
Emily Helft, Landmark College will facilitate this virtual CoP
Microsoft Teams meeting
Join: https://teams.microsoft.com/meet/28261523593671?p=7yDH7sgtPw3m39htYo
Meeting ID: 282 615 235 936 71
Passcode: 3e4HV7JT
The Neurodiversity-UDL Connection: How universal design for learning helps us reach all minds
Universal Design for Learning (UDL) offers a practical framework for creating environments where all learners can thrive, emphasizing iteration over perfection so that faculty can lean into their own creativity while also reaching all learners. In this 2-part series, we’ll explore how a UDL mindset naturally aligns with neuroinclusion by proactively reducing barriers, increasing engagement, and supporting the many ways brains learn and communicate. Participants will learn about the 3 pillars of UDL that are the hallmarks of the new “ERA” of inclusion, as well as discover easy-to-implement strategies that help faculty design courses that are more flexible, predictable, and inclusive from the start. During multiple dedicated application windows, we’ll explore how emerging generative AI technologies (geared toward faculty—not students!) may influence and aid UDL-aligned instructional planning and support faculty reflection on inclusive course design.
Come ready to rethink what makes a “typical” brain— and why your teaching will be more effective once you stop trying to teach to one!
Learning Objectives
• Explain how Universal Design for Learning (UDL) aligns with neurodiversity
• Apply the three core pillars of UDL (Engagement, Representation, and Action/Expression) to reflect on and refine course design choices
• Evaluate the potential influence of emerging generative AI technologies on UDL-aligned instructional planning
This session will be recorded and available for viewing for 1 month after this date here on the STCC PD webpage.
Emily Helft, Landmark College will facilitate this virtual CoP
Microsoft Teams meeting
Join: https://teams.microsoft.com/meet/25069574523607?p=j8OOQX6uJ4fvopVZPq
Meeting ID: 250 695 745 236 07
Passcode: p8mK7Cc7
The Neurodiversity-UDL Connection: How universal design for learning helps us reach all minds
Universal Design for Learning (UDL) offers a practical framework for creating environments where all learners can thrive, emphasizing iteration over perfection so that faculty can lean into their own creativity while also reaching all learners. In this 2-part series, we’ll explore how a UDL mindset naturally aligns with neuroinclusion by proactively reducing barriers, increasing engagement, and supporting the many ways brains learn and communicate. Participants will learn about the 3 pillars of UDL that are the hallmarks of the new “ERA” of inclusion, as well as discover easy-to-implement strategies that help faculty design courses that are more flexible, predictable, and inclusive from the start. During multiple dedicated application windows, we’ll explore how emerging generative AI technologies (geared toward faculty—not students!) may influence and aid UDL-aligned instructional planning and support faculty reflection on inclusive course design.
Come ready to rethink what makes a “typical” brain— and why your teaching will be more effective once you stop trying to teach to one!
Learning Objectives
• Explain how Universal Design for Learning (UDL) aligns with neurodiversity
• Apply the three core pillars of UDL (Engagement, Representation, and Action/Expression) to reflect on and refine course design choices
• Evaluate the potential influence of emerging generative AI technologies on UDL-aligned instructional planning
This session will be recorded and available for viewing for 1 month after this date here on the STCC PD webpage.
September 30, 2025: Summary from the August 2025 Professional Day AI workshop: Presentation Slides and Link to the recording
AI_Challenges AAC&U Jan 2026.pdfA report from the American Association of Colleges and Universities (AAC&U) and Elon University’s Imagining the Digital Future Center who conducted a survey of 1,057 U.S. faculty in November 2025, asking questions about the impact of Generative AI (GenAI) tools on their teaching, their students, and the future of higher education.
MA DESE ai-and-education-jan-2026.pdfMassachusett's Department of Early and Secondary Education's (DESE) January 2026 Report on their work with Artificial Intelligence and Education K-12.
Can Accreditation Stay Human in an AI-Driven Future?
Click the upper right hand corner to enlarge.
AI-Tools-to-Enhance-Design-Thinking.pdfIn person on the STCC Campus Building 2 | 7th Floor
Registration form: 2024 Build Your Artificial Intelligence [AI]: A call for participants
Training from instructional designer and technology educator, Lance Eaton.
Workshop Description:
This hands on workshop is designed for attendees to gain more intensive comprehension of artificial intelligence [AI] from a foundational concept to application of AI. After a review of these concepts and the intersection of AI as it relates to our campus work with students and colleagues, participants will identify opportunities for incorporating AI technology into their work. Discussions on ethical considerations of AI will be ongoing throughout the day. The workshop will culminate in concrete application of concepts learned to an existing activity; attendees will be asked to bring at least one activity or items to the workshop for personal reflection and revision.
Recording entitled Preparing Students for a Future of AI. Moderated by Jeff Selingo's Next Office Hour presented on Jan. 25, 2024 with guest speakers: Marty Alvarado, Tanya Mishra Sure Start and Lance Eaton College Unbound.
Faculty & staff at STCC have been working with AI for some time with a focus in the fall of 2023. 2024 will see strategic efforts continue to learn more:
Consult the Professional Development Workshop Schedule for specific dates and events to learn more.
Refer to STCC's Library Artificial Intelligence in Teaching & Learning for Information for Students and Faculty about ChatGPT and Other AI Tools
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