AI in Teaching and Learning at COS 

We’re building a culture of intentional AI experimentation—integrating AI literacy into interdisciplinary courses and hands-on labs, building AI fluency within disciplines, and advancing AI-enabled projects to prepare students to adapt and thrive in an evolving AI landscape. We focus on using AI where it matters and in ways that keep human capabilities at the center. 

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COS AI Teaching and Learning Dashboard

Ready-to-use and adapt resources built by COS faculty for COS faculty. Try it in your course.

See what COS faculty are doing

Our Philosophy: AI-Aware by Design

Assessment must evolve

Make student thinking, problem-solving, and mastery visible when AI is available

Human skills still matter

Develop critical thinking, communication, collaboration, and adaptability alongside AI fluency 

Workplace expectations are changing

Prepare students to apply AI in context and demonstrate their capabilities 

Career preparation must adapt

Help graduates enter the workplace ready to contribute and continue learning 

Not every course needs to include AI, but every course needs to be AI-aware.  Faculty need to thoughtfully adapt their teaching and assessment strategies to ensure every student develops disciplinary expertise, creativity, critical reasoning, and sound judgment for an AI-enabled world. 

Mark Williams, Dean, College of Science

Explore the evidence and workforce frameworks

COS Faculty: See experimentation in action

Advancing AI Teaching Innovation

Ana Otero

Associate Teaching Professor, Biology
AI Fellow

Biology Quizzer provides low-stakes, repeatable practice opportunities to help students advance from recall questions toward more challenging application questions.

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Advancing AI Teaching Innovation

Abby Williams

Assistant Teaching Professor, Mathematics
AI Fellow

Chatbot for Math Homework Support provides students with 24/7 access to help students with solving homework problems and guidance for preparing for exams. 

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Advancing AI Teaching Innovation

Anne van de Ven-Moloney

Teaching Professor, Physics
AI Scholar

Write First, Then Draw a Card uses AI in one end-of-semester game where students, after writing business proposals on their own, use it to brainstorm, critique, and pitch new business ideas.

try it out
kelleynew

Advancing AI Teaching Innovation

Thomas Kelley

Teaching Professor, Physics
AI Fellow

LLMs as Code Assistants in Physics builds prompting skills and understanding of advanced principles of motion through AI-assisted exploration and coding of physics simulations. 

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Advancing AI Teaching Innovation

Rangoli Goyal

Assistant Teaching Professor, Mathematics
AI Fellow

AI-Generated Math Practice Quizzes generates multiple-choice calculus questions aligned to course learning objectives and student preferences for question number, difficulty level, and time limit. 

try it out
hewang

Advancing AI Teaching Innovation

He Wang

Associate Teaching Professor, Mathematics
AI Fellow

ai GAllery

Advancing AI Teaching Innovation

Kari Jensen

Lab Manager and Instructor, Biology

Same Prompt, Two Tools, Does the Paper Exist? turns a library assignment on finding, citing, and summarizing scientific literature into an investigation of AI as a research tool.

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    Teaching about and with AI is achievable—even for faculty who are still learning. My goal is to equip COS faculty with the inspiration and practical examples to make meaningful course changes while ensuring students still develop the durable skills they need for career success.

    Anne van de Ven-Moloney, Director of AI Teaching Innovation, College of Science

    Experiment, discuss, and share AI teaching practices

    First-year Lab

    Faculty collaborating to actively adapt courses and lab experiences

    Integrated Courses

    Faculty working across courses to scaffold AI fluency and disciplinary learning 

    Capstone Courses

    Faculty planning and testing future-facing course and project experiences

    AI Teaching Innovation

    Early adopters and motivated experimenters testing approaches and sharing lessons learned

    Northeastern’s AI Curricular Transformation & Readiness (AICTR) Initiative is a university-wide effort, with two Directors working within each college. This college-level approach allows us to address COS-specific challenges and opportunities and develop practical, tailored support for our faculty.

    Missy McElligott, Director of AI Curricular Transformation, College of Science

    Get involved

    Want to join a cohort, submit an AI artifact, or connect with a COS AICTR Director?

    let us know
    Photo by Adam Glanzman

    University policies, tools, and responsible use

    Visit NU’s one-stop hub for AI resources, guidance, tools, and support services.

    Explore the AI Resource Hub

    Find the documents guiding COS’s strategic approach to AI integration

    Find approved tools, privacy guidance, and processes for specialized tools or sensitive data

    Find resources for AI-enabled research, research data, and opportunities to work with industry.

    Get inspired by teaching beyond COS

    Events and On-demand Training 

    COS workshops: Teaching With AI in the Room 

    Practical workshops focused on faculty challenges, teaching strategies, and assessment redesign

    View workshops

    University AI workshops and training

    Learn on your own schedule

    Recordings, tutorials, and self-paced courses for learning that fits your schedule

    You don’t have to do it alone

    Whether you’re exploring your first AI activity, redesigning an assessment, or leading AI-enabled research, COS and university partners can help.

    Collaborate with colleagues and test new ideas

    Fill out the form

    Help other faculty learn from your experiments

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    Get help with a course, assignment, assessment, or learning tool

    Connects with other COS faculty who have experience using AI in teaching across different disciplines and areas of expertise. 

    View availability

    Explore AI tools and get hands-on support

    Explore the AI Makerspace

    Sponsored by the AI Curricular Transformation & Readiness Initiative