We found 19 results that contain "mental health"
Posted on: #iteachmsu
Posted by
about 4 years ago
If you want to make sure your course is aligned across objectives, instructional approaches, activities, assessments, etc. (alignment is good - it helps students see the "why" of class experiences and requirements), the Johns Hopkins Bloomberg School of Public Health Center for Teaching and Learning has a great "Course Alignment Worksheet"!
Posted on: #iteachmsu
Posted by
about 4 years ago
According to Derald Wing Sue, “microaggressions are every day encounters of subtle discrimination that people of various marginalized identities experience throughout their lives.” They are often subtle and unintentional and the person who commits a microaggression is often unaware they have hurt someone. Nonetheless, the accumulated impact of daily microaggressions cause real pain, anxiety, depression, self doubt and may even have adverse health impacts on the recipients.
To learn more about microaggressions, click the attachment below.
SOURCE: MSU Office for Inclusion and Intercultural Initiatives
To learn more about microaggressions, click the attachment below.
SOURCE: MSU Office for Inclusion and Intercultural Initiatives
Posted on: GenAI & Education
Posted by
7 months ago
AI Commons Bulletin 2/17/2025
📰 Chronicle of Higher Ed Launches AI Chatbot
The Chronicle of Higher Education has rolled out an AI-powered chatbot to help users navigate its vast archives and answer common higher ed questions. While details on its training data and accuracy are limited, this marks another step in AI’s growing role in academic media.
Learn More: https://www.chronicle.com/chron-faq
📕 New Book on AI and HE explores The Good, the Bad, and the Ugly
The good: AI is here to stay, so let’s make it work for students.
The bad: Convenience comes at the cost of deeper intellectual labor.
The ugly: AI risks shaping a culture of compliance—where decisions are guided by systems without consciousness or accountability.
Learn More: Pulk, K., & Koris, R. (Eds.). (2025). Generative AI in Higher Education. Cheltenham, UK: Edward Elgar Publishing.
❓ If You Teach AI Literacy, Don’t Forget to Assess the RAG as Well as the LLM
When LLMs use retrieval augmented generation (RAG), they can give more trustworthy responses. What does that mean? Ni and colleagues (2025) evaluate rages, using NIST’s list of essentials:
Reliability
Privacy
Explainability
Fairness
Accountability
Safety
Learn More: https://doi.org/10.4337/9781035326020
🤖 On the Horizon: More and More Automated Instruction, Less Faculty?
We should think critically before it’s too late. A study found students using an AI course tutor performed as well and were as satisfied as those in instructor-led courses. As publishers integrate AI tutors, instructors may rely on them more, reducing direct teaching.
Learn More: Chun et al (2025). A Comparative Analysis of On-Device AI-Driven, Self-Regulated Learning and Traditional Pedagogy in University Health Sciences Education. Applied Sciences, 15(4), Article 4.
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”).
📰 Chronicle of Higher Ed Launches AI Chatbot
The Chronicle of Higher Education has rolled out an AI-powered chatbot to help users navigate its vast archives and answer common higher ed questions. While details on its training data and accuracy are limited, this marks another step in AI’s growing role in academic media.
Learn More: https://www.chronicle.com/chron-faq
📕 New Book on AI and HE explores The Good, the Bad, and the Ugly
The good: AI is here to stay, so let’s make it work for students.
The bad: Convenience comes at the cost of deeper intellectual labor.
The ugly: AI risks shaping a culture of compliance—where decisions are guided by systems without consciousness or accountability.
Learn More: Pulk, K., & Koris, R. (Eds.). (2025). Generative AI in Higher Education. Cheltenham, UK: Edward Elgar Publishing.
❓ If You Teach AI Literacy, Don’t Forget to Assess the RAG as Well as the LLM
When LLMs use retrieval augmented generation (RAG), they can give more trustworthy responses. What does that mean? Ni and colleagues (2025) evaluate rages, using NIST’s list of essentials:
Reliability
Privacy
Explainability
Fairness
Accountability
Safety
Learn More: https://doi.org/10.4337/9781035326020
🤖 On the Horizon: More and More Automated Instruction, Less Faculty?
We should think critically before it’s too late. A study found students using an AI course tutor performed as well and were as satisfied as those in instructor-led courses. As publishers integrate AI tutors, instructors may rely on them more, reducing direct teaching.
Learn More: Chun et al (2025). A Comparative Analysis of On-Device AI-Driven, Self-Regulated Learning and Traditional Pedagogy in University Health Sciences Education. Applied Sciences, 15(4), Article 4.
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”).