We found 127 results that contain "undergraduate education"

Interim Guidance on Data Uses and Risks of Generative AI
(source site https://tech.msu.edu/about/guidelines-policies/generative-ai/)

Generative artificial intelligence (AI) language models, including products like ChatGPT and Bard, are powerful tools that can assist with various tasks from teaching and learning, to writing support, to data analysis. No generative AI product currently has a formal agreement with Michigan State University, but users looking for a generative AI tool can find a list of IT approved software for individual use here. Note that any use of generative AI tools must adhere to this interim guidance. Users who choose to use these publicly available generative AI tools should understand the potential risks and limitations associated with publicly available versions of them. This interim guidance outlines recommendations regarding the types of data that may and may not be entered into consumer or commercial generative AI products, with specific considerations for higher education, MSU policies, and institutional needs. It also offers an overview of limitations to be aware of when using generative AI and offers some current best practices for working with these tools.

Further guidance regarding more specific needs like handling generative AI in teaching and learning activities, selecting and adopting AI tools, creating sample syllabus language, and more will follow in the coming months as MSU continues to explore how most effectively to leverage these new tools in a way that meets the university’s needs while keeping our data and users safe.

Check out more on Generative AI from Technology at MSU here https://tech.msu.edu/about/guidelines-policies/generative-ai/ link

CIRCLE, MSU's new Center for Interdisciplinary Research, Collaboration, Learning, and Engagement, invites interested educators to apply to be CIRCLE Affiliates!

How to Apply:

CIRCLE welcomes tenure-track faculty, non-tenure track faculty, academic specialists, postdocs, and staff members from across campus.
Applicants for affiliation in fall 2023 should submit a 1-page letter of inquiry (as a PDF) and a current CV no later than November 11, 2023 to ORI.Circle@msu.edu. Please use “Affiliate Fall 23” in the subject line. Letters should include:

-Your current research/teaching/engagement interests
-Your history of interdisciplinary activity and/or your current interest in interdisciplinarity
-How you hope to engage with CIRCLE as an affiliate faculty member

For more details about the fellowship and our upcoming CIRCLE events: https://research.msu.edu/circle/affiliate-faculty-program

"The recent shooting has been an extremely frightening experience, and the days, weeks, and months following can be very stressful. How long it will take to cope depends a lot on what individuals experienced during and after the shooting, including whether they experienced physical injury, involvement in a police investigation, worry about the safety of family and friends, and loss of loved ones. In the aftermath, it’s often difficult to figure out where to begin. Over time, many people will return to normal routines. We also know that for some people this will be more of a struggle. You may need to know if what you’re experiencing is a common reaction to these types of events. Reactions generally diminish with time, but knowing about them can help you to be supportive of both yourself and others you know affected by the shooting."

The National Child Traumatic Stress Network shares an overview of what students could be experiencing (including but not limited to posttraumatic stress reactions, grief reactions, depression, and physical symptoms) as well as physical, emotional, and social ways to enhance coping in "College Students: Coping after the Recent Shooting".

This artifact is one of a collection of evidence-based resources for educators coming back to class after collective tragedy was compiled by Spartans:
Jason Moser (Professor of Clinical Science, Cognition, and Cognitive Neuroscience in MSU's Department of Psychology & PhD Psychology | Clinical Science)
Jon Novello (Director of MSU Employee Assistant Program & Licensed Clinical Social Worker)
Mark Patishnock (Director of MSU Counseling and Psychiatric Services [CAPS] & Licensed Psychologist)
Joshua Turchan (Assistant Director of Training, Assessment and Planning at MSU CAPS & Licensed Psychologist)
Karen Stanley-Kime (Assistant Director of Intensive Clinical Services at MSU CAPS & Licensed Psychologist)
and more throughout University Health and Wellness departments.

Use AI to generate rubrics.
To create a rubric for just about anything, I find Chat GPT to be very useful. I use iterations of the following prompts, with specifics for each rubric I need to generate:

"In table form create a rubric with four cut-points ranging from "Not Present" to "Exemplary." There should be XXX number of categories: Category 1, Category 2, Category 3, etc... Leave a column on the left for notes or comments.

Typically, using that prompt as a starting point will lead Chat GPT to creating a workable first draft of a rubric.

ChatGPT provided some other things to consider as you prepare your prompt or modify the results:

"1. Define Clear Objectives: Start by providing the AI with specific objectives or outcomes that the rubric is intended to measure. This could include skills, knowledge, behaviors, or attitudes relevant to the task or subject matter.

2. Input Criteria and Levels of Performance: Give the AI detailed descriptions of the criteria you want to assess, along with different levels of performance (e.g., Excellent, Good, Fair, Poor). Ensure that these descriptions are clear and distinct to guide the AI in creating nuanced and differentiated levels.

3. Incorporate Examples and Standards: To enhance the rubric, include examples of exemplary work or specific standards you expect. This helps the AI to understand the context and quality you're seeking, allowing it to generate more accurate and useful content.

4. Refine and Customize: Once the AI provides a draft, review and refine it to ensure it aligns with your educational goals and standards. Personalize the rubric to the specific needs of your course or assignment, making adjustments based on your expertise and experience."

the Center for Integrative Studies in the Arts and Humanities invites you to attend a workshop on Alternate Grading April 21st, from 10 to 11:30 am via Zoom.

We are honored to welcome Prof. Nicole Coleman of Wayne State University to run the workshop. If you are interested in learning ways to prioritize learning over grading and to make assessments more meaningful for students, you may want to consider a new grading system. Coleman will lead an interactive program on her experiences with teaching courses in both the Specs Grading and Ungrading structures. She will provide some information on how each system works and the theory behind them. She will then guide educators in adjusting an assignment or a syllabus to work with these methods. Please bring a rubric and/or a syllabus to the session to be able to participate fully in this workshop.

We are hosting a virtual, pre-semester meeting on August 22 to start building our learning community, Navigating Artificial Intelligence and Large Language Models in the Classroom. Here is the description of the learning community, which you can also find on the OFASD website: "The use of large language models, such as ChatGPT, has exploded onto the educational scene with lots of unanswered questions about its implications in the classroom. This learning community will build on the many sources of information that probe these questions, participants’ experiences in the classroom, and create plans to develop guidelines and action research around these questions."


The meeting is Tues, August 22 from 10-11:30am on Zoom. We plan to spend the first part of the meeting doing some introductions, gathering information about members' specific goals for involvement, and share some of the campus resources around generative AI, including a streamlined version of our "generative AI in the classroom" workshop. Please register here if you plan to attend so we get a general sense of how many folks will participate: https://msu.zoom.us/meeting/register/tJcodu6grT4iG9z6AtbgcsDydWnZ2IY4VINN


If you have to miss this one, don't worry! We also have a Teams that you can join if you want to stay updated: https://teams.microsoft.com/l/channel/19%3a6oievzPpG1-Gu3eebonZyK2vpjzfc3ANdaMoCAAqnYQ1%40thread.tacv2/General?groupId=c0bd0cf9-f952-47e1-a2e6-0221348612e2&tenantId=22177130-642f-41d9-9211-74237ad5687d
We plan to have a monthly hybrid meeting on the first Thursday of every month at 9am in the STEM building, with an optional co-working session on the third Thursday of every month at 9am.

AI Commons Bulletin 3/12/2025

🔊 MSU IT Announces ChatGPT and Gemini “Coming Soon”
The new AI page on tech.msu.edu teases that Gemini and ChatGPT are “coming soon” But it is unclear if the applications will be available for purchase or if the campus community will have free access of the latest foundational models.

Learn More: https://tech.msu.edu/technology/ai/

✍️ Departments at Johns Hopkins Integrated AI into their Curriculum Development Process
It’s like experiential learning for faculty – integrate AI into a standard task that you need to do anyway. Also has a list of very concrete bite-sized learning objectives for learning to use AI, like: name 3 chatbots, start a chat, list 3 ways to make a better prompt.

Learn More: Khamis, N., et al. (2025). More intelligent faculty development: Integrating GenAI in curriculum development programs. Medical Teacher, 1–3.

⚙️ AI Tools Are Being Used for All Stages of the Scientific Research Process
This working paper gives quite in-depth description of several AI tools being used for each of step of the research cycle: (1) lit review, (2) generating research ideas, (3) conducting experiments, (4) generating multimodal content, and (5) conducting peer-review. Recommended to get a good lay of the land.

Learn More: Eger, S., et al. (2025). Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation.

📈 Grammarly Acquires Coda: From Writing Assistant to AI Productivity
Grammarly, popular with students and educators as a writing assistant software, just purchased the AI productivity company Coda. While Grammarly has previously positioned itself as a teaching tool for writing, this acquisition signals a move towards an AI productivity platform.

Learn More: https://www.grammarly.com/blog/company/grammarly-acquires-coda/

Bulletin items compiled by MJ Jackson and Sarah Freye with production assistance from Lisa Batchelder. Get the AI-Commons Bulletin on our Microsoft Teams channel, at aicommons.commons.msu.edu, or by email (send an email to aicommons@msu.edu with the word “subscribe”).

AI Commons Bulletin 1/22/2025
Human-curated news about generative AI for Teaching and Learning in Higher Education.

📷 AI for Photographic Course Materials
Instructors using photos in course materials can explore AI tools that extend images into panoramic or 360-degree views. Currently based on a single photo, these tools may soon evolve to include context, offering more accurate and dynamic results.

Learn More: https://people.engr.tamu.edu/nimak/Papers/PanoDreamer/index.html

👍 Policies at German Universities Generally Positive Toward AI
A content analysis of AI guidelines at 67 universities in Germany can be summed up as: use it if you wish, just be open and transparent.

Learn More: https://doi.org/10.1111/ejed.12891

💬 Word of the Day: Agentic Era
Google sees the future as agentic. To them, this means AI that can “understand more about the world around you, think multiple steps ahead, and take action on your behalf”. In other words, AI that makes decisions and adapts to its surroundings.

Learn More: https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/

🏫 Learning Needs in the Age of AI is Different
The rise of Generative Artificial Intelligence (GenAI) sparks important discussions regarding learner independence and self-direction:
1. How to use AI productively for one’s learning needs
2. How to evaluate AI responses
3. How to maintain one’s own voice

Learn More: https://doi.org/10.3390/educsci14121369

Bulletin items compiled by MJ Jackson and Sarah Freye with production assistance from Lisa Batchelder. Get the AI-Commons Bulletin on our Microsoft Teams channel, at aicommons.commons.msu.edu, or by email (send an email to aicommons@msu.edu with the word “subscribe”).