Critical Thinking with AI Mode #29: Consumer Sentiment
Is consumer sentiment really near an all time low? And what does that mean? We get to use (at the very end) our definitional follow-up, which reveals an asto...
I investigate using the foundational question "Is this what people think it is?" as a follow-up -- and get strikingly good results. For people needing quick,...
On this week’s episode, kids discuss ARTIFICIAL INTELLIGENCE. Is it good? Is it bad? Is it taking our jobs?? WILL IT REPLACE OUR CHILDREN?! These kids give u...
This semester, I’m leaning into individual and social annotation.
This semester, I’m leaning into individual and social annotation.
Here’s my sequence.
****
1. Students annotate the syllabus as a group.
I share the syllabus as a shared Microsoft 365 document and students annotate. They ask questions, make suggestions, and engage with each other.
The goal is to clarify things about the course and also to get used to annotation.
———
2. Students see an annotation I did.
I did a “think aloud” annotation on one of our texts. I did Poe’s “The Raven.” I tried to be vulnerable with my annotations, helping out with some vocabulary but also making some connections that just occurred to me as I reread the poem.
———
3. Students do their own social annotation.
I gave students a set of poems — Angelou’s “Still I Rise” and some poems by Rupi Kaur.
Students annotated the poem in a shared Microsoft 365 document.
———
4. Students annotate themselves.
Students engage with a custom chatbot, that’s been designed to ask them provocative questions as they explore their own ideas.
They pop those chats into a Word Doc and then annotate their own chat. They look for their own thought patterns, identity their strongest moments, and so on.
****
In class, I also had students annotate passages and then take a look at each others’ annotations.
The goal is to highlight reading as both individual and social practice—which allows students to personally connect with the text, to think about thinking, and to participate in a larger community of practice.
——
Image: a picture of one of the best books on annotation I know of, by Remi Kalir, PhD. And it’s available open access. I’ll share the link in the comments. | 29 comments on LinkedIn
Professors Fear AI Will Rot Students’ Brains. The Research Shows It’s More Complicated Than That.
Learning is a complex process — and so is measuring it. Though research shows we have cause to be concerned about what happens when students use AI, the devil is in the details.
The emissions from individual AI text, image, and video queries seem small—until you add up what the industry isn’t tracking and consider where it’s heading next.
Over the years I have disagreed with pretty much everything that Thomas Arnett and the Christensen Institute have had to say about education (you can use the search function for the main blog to see), but Arnett's recent piece has some points worth thinking about.
The American Association of Colleges and Universities and Elon University have launched an artificial intelligence how-to guide for students navigating the sometimes-murky waters of the burgeoning technology.
Student Use Cases for AI | Harvard Business Publishing Education
Dive into this series of 4 student use cases for AI to discover how generative AI tools like ChatGPT can be used as a feedback generator, tutor, team coach, and learner. Get sample prompts and shareable guidelines to help students use AI tools effectively.
NSF Announces 7 New AI Research Institutes at Universities Nationwide -- Campus Technology
The U.S. National Science Foundation (NSF) has announced a $140 million investment in seven new National Artificial Intelligence Research Institutes on themes spanning trustworthy AI, next-generation cybersecurity, AI for decision-making, AI-augmented learning, and other important topics.