We found 82 results that contain "ai incorporation"

The 'Navigating AI in the Classroom' learning community is setting up its meeting times for Spring semester. If you're interested, please fill out your spring semester availability: http://whenisgood.net/ppt83kt
If you want to be added to the Teams page to get updates about meeting times and topics, please let me know!

MSU-specific training on AI for educators is now available on D2L. It includes links to policy documents on AI, and has modules on AI basics, integrating AI into teaching, modifying teaching to discourage AI use, academic integrity and privacy concerns, and developing a personal strategy for approaching AI in the classroom: https://apps.d2l.msu.edu/selfenroll/course/2003221
(If directly clicking this link doesn't work, try copying and pasting the text into your browser - iTeach is doing something strange with the html and I can't directly edit it)

On an AI-related note, I just finished a 10-minute podcast episode for my current batch of students entitled "if You're Gonna Use AI. . ." Here's the link if you're interested in how I'm encouraging/advising my students to proceed, albeit with caution and care: https://www.youtube.com/watch?v=KfzCrhR6HWI

AI Commons Bulletin 12/18/2024
Human-curated news about generative AI for Teaching and Learning in Higher Education.

🍔 Try This: Use AI to generate scenario examples

If you often use examples and scenarios in your lectures, AI can refresh them or generate new ones quickly.

BUT: Characters in gen AI scenarios can display a bias toward western culture. To mitigate, add this to your prompt “Ensure that the name used is gender inclusive and representative of a diverse cultural/ethnic background” (Mirowsky, 2024)

Learn More: https://pubs.acs.org/doi/suppl/10.1021/acs.jchemed.4c00844/suppl_file/ed4c00844_si_001.pdf

🧲 Google Releases New “Learn About” AI Tool

The tool “helps you explore academic topics & concepts.” The layout resembles a textbook, includes additional audio and video sources, and further topics are even organized by terms that Bloom’s uses under comprehension: Understand, Explain, Describe.

BUT: Learning is not saved. Once you close the page, the session is gone.

Learn More: https://learning.google.com/experiments/learn-about

📗 Syllabus Statements

Students want to know what is or is not allowed in using AI for a course:
1. No AI
2. AI Planning
3. AI Collaboration
4. Full AI
5. AI Exploration

Learn More: Perkins, M., Roe, J., & Furze, L. (2024). The AI Assessment Scale Revisited: A Framework for Educational Assessment (No. arXiv:2412.09029). arXiv. https://doi.org/10.48550/arXiv.2412.09029

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 1/13/2025
Human-curated news about generative AI for Teaching and Learning in Higher Education.

😮 Word of the Day: “AI-giarism”
“The unethical practice of using artificial intelligence technologies, particularly generative language models, to generate content that is plagiarized either from original human-authored work or directly from AI-generated content, without appropriate acknowledgement of the original sources or AI’s contribution.” (Chan, 2024)
Learn More: https://doi.org/10.1007/s10639-024-13151-7

💚 H-Net Hosts 2025 AI Symposium: Fear, Faith, and Praxis: Artificial Intelligence in the Humanities and Social Sciences
This year’s theme, “Fear, Faith, and Praxis: Artificial Intelligence, Humanities, and Social Sciences,” focuses on student-centered approaches to the use of AI in pedagogical practice and reassessing previous assumptions about AI. This two-day event will be held on MSU’s campus on Feb 20-21, 2025, and available via live stream on the H-Net Commons.
Learn More: https://networks.h-net.org/2025-ai-symposium

💬 Try This: Use AI to Make Peer Feedback More Effective
Use this prompt: ‘‘I teach a university class where students work on teams for the semester. You are my assistant, who is going to help me provide formative feedback to my students. I collect peer comments periodically throughout out the semester, and I would like you to summarize the comments into a performance feedback review in a way that is constructive and actionable. Additionally, the students assess themselves and I would like you to compare their responses to the peer feedback. The output should be in the form of a letter, and please exclude anything that is inappropriate for the workplace.’’ [If there are less than 2 comments for a student, please provide generic feedback only.]
Learn More: https://www.ijee.ie/1atestissues/Vol40-5/02_ijee4488.pdf

🫥 AI’s That Can Read Your Student’s Emotions
Google wants its AI bots to read emotions. Critics point out the dangers from misclassifying user behaviors. AND recent research suggests the science of “universal emotions” is culturally biased.
Learn More: https://techcrunch.com/2024/12/05/google-says-its-new-open-models-can-identify-emotions-and-that-has-experts-worried/

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”).

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 1/29/2025
Human-curated news about generative AI for Teaching and Learning in Higher Education.

✨ Model Course Framework for Teaching Ethical and Effective Use of AI
Educators from LUT University, Finland, lay out a course with 4 modules;
- Introduction to Generative AI
- Ethics in Generative AI Usage
- Core Principles of Efficiency and Prompt Engineering
- Project Work for Practicing Efficient AI Usage

Learn More: https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/7d863060-bedf-446e-9862-154add2711fc/content

💯 ChatGPT4 Enrolled in an Online Masters Course and Earned Top Grades
In an online Master of Health Administration course, neither the instructor nor students knew the top-performing student was AI. ChatGPT excelled in quizzes, tests, attendance, and discussions.

Learn More: https://www.ingentaconnect.com/contentone/aupha/jhae/2024/00000040/00000004/art00005

👣 Step-By-Step Instructions for Building an AI Skills Trainer
Law professor Alexandria Serra shares how they created “MootMentor AI” to provide students practical legal advocacy experience. Key insights include pre-building decisions. See page 91 for details.

Learn More: https://scholarlycommons.law.case.edu/cgi/viewcontent.cgi?article=1168&context=jolti

💬 Communication Teacher: Special Issue on AI
A special issue of Communication Teacher explores four AI adaptation stances: observation, replication, enhancement, and transformation. Articles cover how educators integrate generative AI, with assignments, student reflections, and practical applications for communication courses.

Learn More: https://doi.org/10.1080/17404622.2024.2419012

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 1/8/2025
Human-curated news about generative AI for Teaching and Learning in Higher Education.

💚 MSU IT Releases New Copilot and Generative AI Guidance
MSU IT claims that Copilot surpasses the safety standards MSU has been able to endorse for other programs, such as ChatGPT. Instructors, staff, and students can input any institutional data -- EXCEPT HIPAA data -- into Copilot.

Learn More: MSU IT. tech.msu.edu/news/2024/12/microsoft-copilot-and-generative-ai-guidance/

🆕 AI Commons article: AI as a Learning Partner: Offering Supports Through Generative AI
Dr. Kevin Haudek offers a constructivist approach to how GenAI agents can be developed to provide different types of support to learners in the classroom.

Learn More: AI Commons. https://aicommons.commons.msu.edu/2025/01/07/ai-learning-partner-haudek/

🥯 Try This: Make Teaching Materials More Concrete or Abstract
Concrete language helps bridge the communication gap between you and your students. By using specific, relatable examples, you can make complex concepts clearer and easier to understand. Conversely, abstract language can help students think critically and generalize principles across different contexts. Use AI to adjust your material based on your teaching goals.

Learn More: Case study by Garcia-Varela et al (2024) https://doi.org/10.1016/j.compedu.2024.105182

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 1/6/2025
Human-curated news about generative AI for Teaching and Learning in Higher Education.

💚 Try This: Create Examples for Critical Analysis
Students can use AI to create an example “in the style of” something, and then evaluate the result. For example, Dickens scholar Dan Doughtery offers: “Write a story about a young man falling in love in the style of Charles Dickens’ novel David Copperfield” (Dougherty).

Learn More: https://bowiestate.edu/academics/colleges/college-of-arts-and-sciences/departments/language-literature-and-cultural-studies/ceamag/ceamar-journal-2024.pdf#page=38

🔮 Crystal Ball: “Digital Twins”
Watch for this in the next year: virtual models of a specific object, person or system updated using real-time data. Imagine it as a tool for the ultimate personalized learning system.

Learn More: https://www.ibm.com/think/topics/digital-twin

ℹ️ Students See Feedback from a “Calibrated” AI as Helpful
In this example, instructors augmented a general AI tool with research from their discipline and works from previous students (both = 35 million words). Then instructors had the AI tool give feedback on student assignments. The students loved it.

Learn More: (Numerous theories here – skip to page 17 for results). Zapata, G. C., Saini, A., Tzirides, A. -O. (Olnacy), Cope, W., & Kalantzis, M. (2024). The Role of Feedback in University Students’ Learning Experiences: An Exploration Grounded in Activity Theory. Ubiquitious Learning: An International Journal, 18(2), 1-30. https://cgscholar.com/bookstore/works/the-role-of-ai-feedback-in-university-students-learning-experiences

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”).