Lumi Pro AI Tool – New In Brightspace

AI Tools for Faculty – Explore D2L Lumi!

SUNY is pleased to announce the system-wide roll-out of D2L Lumi Pro, which is the Generative AI capability within Brightspace, beginning August 15, 2025. SUNY will support campuses by covering the bill for this tool through the remainder of the current SUNY contract term, which goes through September 21, 2026.  Campuses may have future opportunities to purchase this extra built-in AI capability; however, we highly encourage you to see its potential while the cost is free to us. This functionality is only available to faculty at this time. 

The initial deployment of Lumi focuses on creating workflow efficiencies for faculty by helping you to generate quiz questions, discussion prompts, assignment ideas, and module summaries. Lumi leverages Anthropic’s Large Language Model (LLM) Claude.  

Need some fresh ideas? This tool can help save time and refresh your content! It is a completely optional tool. We highly encourage you to attend a training session offered by SUNY. Register for the SUNY Online LUMI Pro Training. If you have questions about Lumi, you may reach out to the Online Learning at SUNY Niagara or contact the SUNY Online Help Desk

  1. Quiz Question Generation (link to help document)
  2. Assignment ideas generation (link to help document)
  3. Discussion ideas generation (link to help document)
  4. Module overview ideas generation (link to help document)

SUNY will be covering the cost of the Lumi add-on to Brightspace until September 23, 2026, at which time, each campus will likely need to decide on purchasing it individually going forward.

Training Opportunities

Trainings will be offered by SUNY Online throughout the months of August and September. Please register for the date of your choice at the following link:

SUNY Online Lumi Training link

About Lumi

Lumi leverages Anthropic’s Large Language Model (LLM) Claude by using content provided by the course creator. SUNY’s agreement with D2L protects Faculty IP by ensuring that:

  • D2L does not own input content.
  • D2L does not own output content.
  • D2L will not use input content to train the Generative AI models.

SUNY’s agreement with D2L requires that users will not represent that output content is human generated when it is not.

Syllabus Statements/Notifying Students

Because of SUNY’s agreement with D2L, instructors need to disclose when they are using AI components in their courses. The following are some examples of General AI Statements and AI Content Generation Statements:

General AI Statements

AI Content Generation Statements

INSTRUCTOR ACKNOWLEDGEMENT OF AI USE

Your instructor acknowledges the use of artificial intelligence (AI) tools to generate ideas, assessment, and assist with the design of lessons in {INSERT COURE NAME}. The prompts were entered into the Generative Artificial Intelligence (AI)* systems in the {INSERT YEAR} The output from the prompts was used to create lessons, discussions questions, assignments, and activities that are aligned with the weekly objectives and learning outcomes of this course. The AI generated content was professionally reviewed for accuracy and relevance to the course learning outcomes.

MODULE LESSONS AI CONTENT ACKNOWLEDGEMENT

Note: Portions of this module were created with the assistance of AI *and have been professionally reviewed for accuracy and relevance.

*If D2L LUMI was utilized, specific reference to LUMI should be included.

(Motley, 2025)

Resources:

Motley, LaTonya. (2025, July28 27). Citing AI for Course Design? [Online forum post] Educause. https://connect.educause.edu/discussion/citing-ai-for-course-design

Ethical concerns

 Cornell University: Ethical AI for Teaching and Learning
 MDPI: Ethical challenges and solutions of generative AI: an interdisciplinary perspective.
 Purdue University: How to cite generative AI use

Environmental impacts

 MIT News: Generative AI’s environmental impact (1/17/2025)
 CNN: Study reveals how much energy AI uses to answer your questions
 Scientific American: A computer scientist breaks down generative AI’s hefty carbon footprint

Support/SUNY Help Desk

All support for Lumi and Brightspace should go though the SUNY Online Support Services Help Desk

SUNY Niagara AI Faculty Support Resources

Our AI resource page has resources and recordings to help you learn more about Teaching & Learning with AI in Higher Education. The resources have been curated by the SUNY Niagara AI Task Force members.  If you have any questions, please contact one of us. 

Lisa Dubuc, Task Force Chair | Tammy Bruno | Laura Scarpelli | Rebekah Keaton| Andy Aquino | Suman Baral | Lindsey Bax | Lynn Brochu | Lynn Lytle | Jonathan Bellomo