We found 14 results that contain "hub"
Posted on: #iteachmsu
Posted by
over 4 years ago
MULTIMODAL BLENDED EVENTS HANDBOOK
Ever wish you had some guidelines and references to tap into when planning a hybrid or virtual event? Well, now it's available! Check out the new Multimodal Blended Events Handbook from The Hub! The handbook includes several topics and reference points to help optimize and execute the best event planning possible. Looking forward to your feedback on the document.
Ever wish you had some guidelines and references to tap into when planning a hybrid or virtual event? Well, now it's available! Check out the new Multimodal Blended Events Handbook from The Hub! The handbook includes several topics and reference points to help optimize and execute the best event planning possible. Looking forward to your feedback on the document.
Posted on: Masking Matters
Posted by
about 3 years ago
Hi folks! I'm just posting in this workshop feed to alert anyone who may have joined us here that we have created a new central hub for resources and community associated with IAH teaching. Please go to the link below and join our new CISAH group if you're interested in staying in the loop on future IAH workshops, pedagogy discussions, and more!
https://iteach.msu.edu/groups/cisah/feeds
https://iteach.msu.edu/groups/cisah/feeds
Navigating Context
Posted on: #iteachmsu
Posted by
over 4 years ago
MSU purchased a campus-wide pass, so all MSU Faculty, Staff and Students can attend next week's OLC Innovate virtual conference free of charge.
Registration instructions: https://iteach.msu.edu/iteachmsu/groups/iteachmsu/stories/1557
Sponsored by MSU IT and MSU Hub.
Registration instructions: https://iteach.msu.edu/iteachmsu/groups/iteachmsu/stories/1557
Sponsored by MSU IT and MSU Hub.
Posted on: #iteachmsu
Posted by
almost 4 years ago
20+ years ago when I began teaching as a graduate assistant, I was was spoiled when it came to student motivation and engagement.
At UW-Madison, I taught several freshman writing and discussion sections that were part of two huge undergraduate Scandinavian literature courses (several hundred students each) with a newly instituted writing component. Many, though not all, of the students were what we call, in second language pedagogy, heritage learners from primarily Norwegian, Swedish, and Danish backgrounds along with a few whose ancestors came from Iceland or Finland, which meant that their motivation and performance was reasonably good to high. In short, most were interested, engaged, and did the work to a reasonable standard.
The same was true a few years later at The University of Minnesota. where I was responsible for planning, developing, and teaching numerous sections of Beginning Norwegian 1001 and 1002 five days a week. Again, mostly heritage learners, so my job was easier than it might otherwise have been.
Here at MSU, I teach numerous IAH courses, once F2F, now asynchronous online. A few seem excited and engage well, but many, or even most, do not. It is a hoop they need to jump through, and many choose a particular course based not on their interest but on how well it fits their schedule.
Given that particular mindset, student motivation and engagement can be thin on the ground sometimes! So, these are two related points, along with how they relate to student success, that I come back to again and again in my reading and related thought behind what I do and how I do it.
Today, I came across a concise webpage on 'The Role of Motivation in Learning' from The Education Hub in New Zealand. Here is the link for people who might like to take a look:
https://theeducationhub.org.nz/motivation/
At UW-Madison, I taught several freshman writing and discussion sections that were part of two huge undergraduate Scandinavian literature courses (several hundred students each) with a newly instituted writing component. Many, though not all, of the students were what we call, in second language pedagogy, heritage learners from primarily Norwegian, Swedish, and Danish backgrounds along with a few whose ancestors came from Iceland or Finland, which meant that their motivation and performance was reasonably good to high. In short, most were interested, engaged, and did the work to a reasonable standard.
The same was true a few years later at The University of Minnesota. where I was responsible for planning, developing, and teaching numerous sections of Beginning Norwegian 1001 and 1002 five days a week. Again, mostly heritage learners, so my job was easier than it might otherwise have been.
Here at MSU, I teach numerous IAH courses, once F2F, now asynchronous online. A few seem excited and engage well, but many, or even most, do not. It is a hoop they need to jump through, and many choose a particular course based not on their interest but on how well it fits their schedule.
Given that particular mindset, student motivation and engagement can be thin on the ground sometimes! So, these are two related points, along with how they relate to student success, that I come back to again and again in my reading and related thought behind what I do and how I do it.
Today, I came across a concise webpage on 'The Role of Motivation in Learning' from The Education Hub in New Zealand. Here is the link for people who might like to take a look:
https://theeducationhub.org.nz/motivation/
Pedagogical Design
Posted on: GenAI & Education
Posted by
8 months ago
AI Commons Bulletin 1/24/2025
Human-curated news about generative AI for Teaching and Learning in Higher Education.
😊 The New Study Buddy: AI is Becoming a Tutor for Some College of Natural Science Students
MSU students are increasingly using AI tools like ChatGPT and the Khanmigo tutoring program to enhance learning, offering instant, interactive assistance for homework and studies.
Learn More: https://natsci.msu.edu/news/2025-01-the-new-study-buddy.aspx
🧠 Students Might Off-Load Critical Thinking to AI
This study found that using AI didn’t change students’ intrinsic motivation to learn. However, they did find that AI tended to cause “metacognitive laziness”. In other words, to avoid te work of critical thinking that AI is supposed to free them up to do.
Learn More: https://doi-org.proxy1.cl.msu.edu/10.1111/bjet.13544
🏫 Perplexity Pays Students to Market For Them
At least on AI company is using stealth marketing on campuses. Perplexity’s “Campus Strategist” program gives students a budget to spread awareness of Perplexity among their classmates.
Learn More: https://www.perplexity.ai/hub/blog/perplexity-s-2024-campus-strategist-program
🦠 The Education Revolution Through AI
This open-access book offers a collection of chapters on AI’s impact on higher education. Key topics:
Potential: Personalized learning, automated tasks, and adaptive teaching
Challenges: Bias, ethics, and data privacy in education
Applications: Integrating AI into research, teaching, and course design
Learn More: https://octaedro.com/libro/the-education-revolution-through-artificial-intelligence/
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”).
Human-curated news about generative AI for Teaching and Learning in Higher Education.
😊 The New Study Buddy: AI is Becoming a Tutor for Some College of Natural Science Students
MSU students are increasingly using AI tools like ChatGPT and the Khanmigo tutoring program to enhance learning, offering instant, interactive assistance for homework and studies.
Learn More: https://natsci.msu.edu/news/2025-01-the-new-study-buddy.aspx
🧠 Students Might Off-Load Critical Thinking to AI
This study found that using AI didn’t change students’ intrinsic motivation to learn. However, they did find that AI tended to cause “metacognitive laziness”. In other words, to avoid te work of critical thinking that AI is supposed to free them up to do.
Learn More: https://doi-org.proxy1.cl.msu.edu/10.1111/bjet.13544
🏫 Perplexity Pays Students to Market For Them
At least on AI company is using stealth marketing on campuses. Perplexity’s “Campus Strategist” program gives students a budget to spread awareness of Perplexity among their classmates.
Learn More: https://www.perplexity.ai/hub/blog/perplexity-s-2024-campus-strategist-program
🦠 The Education Revolution Through AI
This open-access book offers a collection of chapters on AI’s impact on higher education. Key topics:
Potential: Personalized learning, automated tasks, and adaptive teaching
Challenges: Bias, ethics, and data privacy in education
Applications: Integrating AI into research, teaching, and course design
Learn More: https://octaedro.com/libro/the-education-revolution-through-artificial-intelligence/
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”).
Posted on: GenAI & Education
Posted by
7 months ago
AI Commons Bulletin 2/10/2025
🚨 CSU Launches “AI Commons” – Sound Familiar?
The California State University (CSU) system just rolled out CSU AI Commons, a system-wide hub for AI tools, training, and research. Backed by Big Tech partnerships, it focuses on faculty development, student literacy, and workforce acceleration. BUT: AI strategy isn’t just about resources—it’s about who controls the narrative. With corporate-backed AI in higher education, what happens to independent faculty innovation?
Learn More: https://genai.calstate.edu/
🔍Tracking AI Policies in Higher Ed
Embry-Riddle Aeronautical University has compiled a Padlet featuring AI policies and guidelines from institutions worldwide. This evolving resource provides insight into how different universities are shaping their AI approaches.
Learn More: https://padlet.com/cetl6/university-policies-on-generative-ai-m9n7wf05r7rdc6pe
📚 AI Submissions Outperform Students in Recent Study
A PLOS ONE study found that 94% of AI-generated assignments went undetected, with grades averaging half a grade higher than those of real students. There was also an 83.4% chance AI submissions would outperform a random selection of student work across modules.
Learn More: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0305354#:~:text=The%20%27Turing%20Test%27%20is%20now,a%20predefined%20set%20of%20rules
⚞ Blurry Lines in AI and Assessment
A study in Assessment & Evaluation in Higher Education highlights student and educator confusion over acceptable AI use in assessments. Many rely on personal judgment or Grammarly analogies. The authors propose the Dynamic Educational Boundaries Model to embed clear AI-use guidelines directly into assessments.
Learn More: https://doi.org/10.1080/02602938.2025.2456207
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”).
🚨 CSU Launches “AI Commons” – Sound Familiar?
The California State University (CSU) system just rolled out CSU AI Commons, a system-wide hub for AI tools, training, and research. Backed by Big Tech partnerships, it focuses on faculty development, student literacy, and workforce acceleration. BUT: AI strategy isn’t just about resources—it’s about who controls the narrative. With corporate-backed AI in higher education, what happens to independent faculty innovation?
Learn More: https://genai.calstate.edu/
🔍Tracking AI Policies in Higher Ed
Embry-Riddle Aeronautical University has compiled a Padlet featuring AI policies and guidelines from institutions worldwide. This evolving resource provides insight into how different universities are shaping their AI approaches.
Learn More: https://padlet.com/cetl6/university-policies-on-generative-ai-m9n7wf05r7rdc6pe
📚 AI Submissions Outperform Students in Recent Study
A PLOS ONE study found that 94% of AI-generated assignments went undetected, with grades averaging half a grade higher than those of real students. There was also an 83.4% chance AI submissions would outperform a random selection of student work across modules.
Learn More: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0305354#:~:text=The%20%27Turing%20Test%27%20is%20now,a%20predefined%20set%20of%20rules
⚞ Blurry Lines in AI and Assessment
A study in Assessment & Evaluation in Higher Education highlights student and educator confusion over acceptable AI use in assessments. Many rely on personal judgment or Grammarly analogies. The authors propose the Dynamic Educational Boundaries Model to embed clear AI-use guidelines directly into assessments.
Learn More: https://doi.org/10.1080/02602938.2025.2456207
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”).