We found 205 results that contain "online learning"
Posted on: Teaching Toolkit Tailgate
Posted by
about 5 years ago
Good morning Teaching Toolkit Tailgate! I'm Ellie Louson, your AMA host for Sept 1st. Ask me anything about experiential learning in undergrad courses. I don't know everything, but I am glad to share what I've learned facilitating experiential courses at MSU under the Spartan Studios project: the good, the bad, and the surprising. At last year's tailgate we made stuff out of Play-Doh and I want today to be just a much fun!
Pedagogical Design
Posted on: GenAI & Education
Posted by
8 months ago
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”).
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”).
Posted on: #iteachmsu
Posted by
over 6 years ago
Learning platforms are excellent tools to increase opportunities for knowledge development.
Pedagogical Design
Posted on: GenAI & Education
Posted by
7 months ago
AI Commons Bulletin 2/24/2025
🚫 No More Guidance from USDE
Beyond the AI guidance for schools and the toolkits for educators and developers, the entire Office of Educational Technology website is gone. tech.ed.gov now directs to the USDE website.
Learn More: https://www.ed.gov/
📽️ Try This: Create AI Video for YouTube
Short videos can be useful tools for teaching something, or that students can use to demonstrate something. YouTube now offers tools to use AI to generate video based on a text prompt.
Learn More: https://www.cnet.com/tech/services-and-software/heres-how-you-can-create-ai-videos-in-youtube-shorts-thanks-to-google-veo/
🤔 AI Operator Can Take e-Learning Courses For You
OpenAI’s Operator tool can take an online course, which means it’s time to rethink asynchronous course design.
Learn More: https://benbetts.co.uk/the-fall-of-click-next-e-learning-what-operator-means-for-training/?ref=2ndbreakfast.audreywatters.com
✍️ Should We Invent New Words to Talk to AI?
Want a fresh way to discuss AI literacy? These authors argue we need new words—not just human vocabulary—to grasp AI. Encourage students to create neologisms for human concepts AI should learn or machine ideas we must understand. What might they invent?
Learn More: Hewitt, Geirhos, & Kim, (2025). We Can’t Understand AI Using our Existing Vocabulary.
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”).
🚫 No More Guidance from USDE
Beyond the AI guidance for schools and the toolkits for educators and developers, the entire Office of Educational Technology website is gone. tech.ed.gov now directs to the USDE website.
Learn More: https://www.ed.gov/
📽️ Try This: Create AI Video for YouTube
Short videos can be useful tools for teaching something, or that students can use to demonstrate something. YouTube now offers tools to use AI to generate video based on a text prompt.
Learn More: https://www.cnet.com/tech/services-and-software/heres-how-you-can-create-ai-videos-in-youtube-shorts-thanks-to-google-veo/
🤔 AI Operator Can Take e-Learning Courses For You
OpenAI’s Operator tool can take an online course, which means it’s time to rethink asynchronous course design.
Learn More: https://benbetts.co.uk/the-fall-of-click-next-e-learning-what-operator-means-for-training/?ref=2ndbreakfast.audreywatters.com
✍️ Should We Invent New Words to Talk to AI?
Want a fresh way to discuss AI literacy? These authors argue we need new words—not just human vocabulary—to grasp AI. Encourage students to create neologisms for human concepts AI should learn or machine ideas we must understand. What might they invent?
Learn More: Hewitt, Geirhos, & Kim, (2025). We Can’t Understand AI Using our Existing Vocabulary.
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: #iteachmsu
Posted by
about 1 year ago
I might have to fire Microsoft Copilot if it doesn't catch on soon. . . Let me explain. The second week of each semester, once enrollments have stabilized, I form my classes of 50 students into 10 student learning teams that will collaborate each week through Week 14. In the past, I have used a free, completely random online team-builder app to do this. It's a little time consuming, but basically pretty easy.
This summer, as I was developing 10 podcast episodes that address how we might better integrate GenAI into our classrooms (see The Collaborative Cafe@WSTKS-FM Worldwide on Youtube), it occurred to me that I might be able to engineer more cohesive student learning teams by collecting information from students on Day #1 about their academic strengths and preferences. My idea was to use Copilot to group students in such a way that each person would bring unique talents, skills and abilities to the collaborative table, making for stringer teams that would work more effectively together.
Sounds easy enough, right? Dine in just a few minutes, right? Au contraire!
Actually, I ended up spending at least as much time, if not more, double-checking Copilot's problematic output. Here's what it and I kept running into. Despite a fairly straightforward prompt, Copilot neglected to include ALL students in the class list and doubled or tripled up on other names, randomly ignoring some names and their assets/preferences while assigning others to two or three learning teams at the same time. This happened more than once despite repeated attempts to clarify my initial prompt(s), and Copilot never managed to correct its errors.
In the end, quite a bit of additional time was necessary to comb through what Copilot spit out and fix its mistakes to ensure all 50 students in each section were, in fact, assigned to five-person learning teams. What should have taken five minutes at most, took more than two hours when all was said and done. Time I had not anticipated and don't really have to waste.
Sigh. A rather frustrating way to start the semester. Live and learn, right?
This summer, as I was developing 10 podcast episodes that address how we might better integrate GenAI into our classrooms (see The Collaborative Cafe@WSTKS-FM Worldwide on Youtube), it occurred to me that I might be able to engineer more cohesive student learning teams by collecting information from students on Day #1 about their academic strengths and preferences. My idea was to use Copilot to group students in such a way that each person would bring unique talents, skills and abilities to the collaborative table, making for stringer teams that would work more effectively together.
Sounds easy enough, right? Dine in just a few minutes, right? Au contraire!
Actually, I ended up spending at least as much time, if not more, double-checking Copilot's problematic output. Here's what it and I kept running into. Despite a fairly straightforward prompt, Copilot neglected to include ALL students in the class list and doubled or tripled up on other names, randomly ignoring some names and their assets/preferences while assigning others to two or three learning teams at the same time. This happened more than once despite repeated attempts to clarify my initial prompt(s), and Copilot never managed to correct its errors.
In the end, quite a bit of additional time was necessary to comb through what Copilot spit out and fix its mistakes to ensure all 50 students in each section were, in fact, assigned to five-person learning teams. What should have taken five minutes at most, took more than two hours when all was said and done. Time I had not anticipated and don't really have to waste.
Sigh. A rather frustrating way to start the semester. Live and learn, right?
Posted on: Digital Collaborative Learning for the 21st Century 2.0 (Learning Community for AY2023-2024)
Posted by
almost 3 years ago
Not required, but interested parties might fight these titles helpful:
1) Advancing Online Teaching (2021) -- Kevin Kelly and Todd Zakrajsek
2) Collaborative Learning Techniques (2014) -- Elizabeth F. Barkely, Claire Howell Major, and K. Patricia Cross
3) Multimodal Learning for the 21st Century Adolescent (2010) -- Tom Bean
All available through Amazon.
1) Advancing Online Teaching (2021) -- Kevin Kelly and Todd Zakrajsek
2) Collaborative Learning Techniques (2014) -- Elizabeth F. Barkely, Claire Howell Major, and K. Patricia Cross
3) Multimodal Learning for the 21st Century Adolescent (2010) -- Tom Bean
All available through Amazon.
Pedagogical Design
Posted on: #iteachmsu
Posted by
almost 5 years ago
IBM is offering the MSU community a suite of online courses that take participants through a comprehensive design thinking journey. The introductory offering, The Practitioner Course, is an interactive overview of the fundamentals of human centered-design concepts. Thanks to a collaboration with MSU’s Hub for Innovation in Learning and Technology, MSU students, faculty, and staff can enroll in IBM’s Practitioner Course at no cost and learn the principles that make design thinking different from other problem solving approaches: https://msuhub.medium.com/ibm-offers-free-design-thinking-training-to-msu-community-5187dc69180
Pedagogical Design
Posted on: GenAI & Education
Posted by
7 months ago
AI Commons Bulletin 2/3/2025
Human-curated news about generative AI for Teaching and Learning in Higher Education.
👀 Get an Inside Look at How Students Use a Course Tutor
Social Science educators at Eötvös Loránd University (Hungary) found their simple chatbot for learning statistics boosted critical thinking and active learning for some students, who strongly supported its use.
Learn More: https://www.ksh.hu/statszemle_archive/en/2024/2024_02/2024_02_003.pdf
🔮 The Use of AI Isn’t Enough on Its Own to Predict Student Performance
AI’s impact on learning sparks both hype and warnings, with evidence supporting both views. This balance is likely to persist through the next academic year.
Learn More: https://journals.sta.uwi.edu/ojs/index.php/qef/article/view/9338
🎓 DOE’s AI Recommendations for Postsecondary Education
Establish transparent policies
Create/expand infrastructure to support AI
Rigorously test and evaluate AI-driven tools, supports, and services
Forge partnerships with industry, nonprofit, and other HE institutions
Review and update program offerings to address the growing impact of AI on future careers
Learn More: https://tech.ed.gov/ai-postsecondary/
👀 Soon Students Can Let ChatGPT “See” Their Screen
Expect this to have a big impact on teaching and learning practices. Some of the possible ways an AI could assist a student:
- Walk through a multi-step assignment
- Tutor how to use a software application
- Provide feedback as the student sketches out an answer
- Craft an answer to an instructor's question during a synchronous online course
Learn More: https://www.youtube.com/watch?v=NIQDnWlwYyQ
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.
👀 Get an Inside Look at How Students Use a Course Tutor
Social Science educators at Eötvös Loránd University (Hungary) found their simple chatbot for learning statistics boosted critical thinking and active learning for some students, who strongly supported its use.
Learn More: https://www.ksh.hu/statszemle_archive/en/2024/2024_02/2024_02_003.pdf
🔮 The Use of AI Isn’t Enough on Its Own to Predict Student Performance
AI’s impact on learning sparks both hype and warnings, with evidence supporting both views. This balance is likely to persist through the next academic year.
Learn More: https://journals.sta.uwi.edu/ojs/index.php/qef/article/view/9338
🎓 DOE’s AI Recommendations for Postsecondary Education
Establish transparent policies
Create/expand infrastructure to support AI
Rigorously test and evaluate AI-driven tools, supports, and services
Forge partnerships with industry, nonprofit, and other HE institutions
Review and update program offerings to address the growing impact of AI on future careers
Learn More: https://tech.ed.gov/ai-postsecondary/
👀 Soon Students Can Let ChatGPT “See” Their Screen
Expect this to have a big impact on teaching and learning practices. Some of the possible ways an AI could assist a student:
- Walk through a multi-step assignment
- Tutor how to use a software application
- Provide feedback as the student sketches out an answer
- Craft an answer to an instructor's question during a synchronous online course
Learn More: https://www.youtube.com/watch?v=NIQDnWlwYyQ
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”).