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Don’t Be Fooled: How You Can Master Media Literacy in the Digital Age [Professor Sue Ellen Christian]

On 08/30/2023, in Bias | Diversity Equity & Inclusion (DE&I), communications, content development, aggregation, repositories, corporate / business world, ethics, ideas, internet, liberal arts, library / librarians, media/film, Michigan, multimedia, online media, parents/guardians, platforms, play, productivity / tips and tricks, professional development, psychology, publishing, quality, research, social media, society, sociology, storytelling, strategy, technologies for your home, television, United States, universities, vendors, by Daniel Christian

Don’t Be Fooled: How You Can Master Media Literacy in the Digital Age — from youtube.com by Professor Sue Ellen Christian

During this special keynote presentation, Western Michigan University (WMU) professor Sue Ellen Christian speaks about the importance of media literacy for all ages and how we can help educate our friends and families about media literacy principles. Hosted by the Grand Rapids Public Library and GRTV, a program of the Grand Rapids Community Media Center. Special thanks to the Grand Rapids Public Library Foundation for their support of this program.

Excerpts:

Media Literacy is the ability to access, analyze, evaluate, and create media in a variety of forms. Center for Media Literacy

5 things to do when confronted with concerns about content.

Also relevant/see:

Kalamazoo Valley Museum’s newest exhibit teaches community about media literacy — from mlive.com by Gabi Broekema

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What if you could have a conversation with your notes? [Pierce]

On 08/28/2023, in adjunct faculty, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, colleges, communities of practice, community colleges, competency-based learning/education, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Design Thinking, digital learning, education technology, emerging technologies, experimentation, faculty, future, Google, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning from the Living [Class] Room, productivity / tips and tricks, research, student-related, teachers, tools, United States, universities, usability, user experience (UX), user interface design, vendors, virtual tutoring, vision/possibilities, by Daniel Christian

Google’s AI-powered note-taking app is the messy beginning of something great — from theverge.com by David Pierce; via AI Insider
NotebookLM is a neat research tool with some big ideas. It’s still rough and new, but it feels like Google is onto something.

Excerpts (emphasis DSC):

What if you could have a conversation with your notes? That question has consumed a corner of the internet recently, as companies like Dropbox, Box, Notion, and others have built generative AI tools that let you interact with and create new things from the data you already have in their systems.

Google’s version of this is called NotebookLM. It’s an AI-powered research tool that is meant to help you organize and interact with your own notes. 
…
Right now, it’s really just a prototype, but a small team inside the company has been trying to figure out what an AI notebook might look like.

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So, you want to become an instructional designer? [Hobson]

On 07/14/2023, in career development, education technology, emerging technologies, instructional design, learning, Learning Experience Design, learning preferences, learning theories, research, workplace, by Daniel Christian

So, you want to become an instructional designer? — from drlukehobson.com by Luke Hobson

Excerpt:

The most significant problem I’ve seen for aspiring instructional designers is that they don’t have a solid plan in place with how to make acquiring a new job a reality. What does this involve? A monumental portion of instructional design is knowing about how learning works. Yes, there are other components about instructional design like technology, project management, relationship management, research, but at the end of the day, you need to know how people learn to design meaningful learning experiences. So, think of your instructional design journey as a learning experience. How would you reverse engineer this process to help you obtain your goal? Let’s start by asking a few questions:

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“YouTube tests AI-generated quizzes on educational videos” [Forristal] + numerous other items re: AI in education/HE/corporate training

On 07/13/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, change, colleges, community colleges, computer science, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, global / globalization, Google, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, journalism, K-12 related, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, platforms, productivity / tips and tricks, professional development, programming, research, science, student-related, teachers, teaching & learning, tools, trends, United States, universities, vendors, vision/possibilities, by Daniel Christian

YouTube tests AI-generated quizzes on educational videos — from techcrunch.com by Lauren Forristal

YouTube tests AI-generated quizzes on educational videos

YouTube is experimenting with AI-generated quizzes on its mobile app for iOS and Android devices, which are designed to help viewers learn more about a subject featured in an educational video. The feature will also help the video-sharing platform get a better understanding of how well each video covers a certain topic.

Incorporating AI in Teaching: Practical Examples for Busy Instructors — from danielstanford.substack.com by Daniel Stanford; with thanks to Derek Bruff on LinkedIn for the resource

Since January 2023, I’ve talked with hundreds of instructors at dozens of institutions about how they might incorporate AI into their teaching. Through these conversations, I’ve noticed a few common issues:

  • Faculty and staff are overwhelmed and burned out. Even those on the cutting edge often feel they’re behind the curve.
  • It’s hard to know where to begin.
  • It can be difficult to find practical examples of AI use that are applicable across a variety of disciplines.

To help address these challenges, I’ve been working on a list of AI-infused learning activities that encourage experimentation in (relatively) small, manageable ways.

September 2023: The Secret Intelligent Beings on Campus — from stefanbauschard.substack.com by Stefan Bauschard
Many of your students this fall will be enhanced by artificial intelligence, even if they don’t look like actual cyborgs. Do you want all of them to be enhanced, or just the highest SES students?

How to report better on artificial intelligence — from cjr.org (Columbia Journalism Review) by Syash Kapoor, Hilke Schellmann, and Ari Sen

In the past few months we have been deluged with headlines about new AI tools and how much they are going to change society.

Some reporters have done amazing work holding the companies developing AI accountable, but many struggle to report on this new technology in a fair and accurate way.

We—an investigative reporter, a data journalist, and a computer scientist—have firsthand experience investigating AI. We’ve seen the tremendous potential these tools can have—but also their tremendous risks.

As their adoption grows, we believe that, soon enough, many reporters will encounter AI tools on their beat, so we wanted to put together a short guide to what we have learned.

AI

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DSC:
Something I created via Adobe Firefly (Beta version)

 

The 5 reasons L&D is going to embrace ChatGPT — from chieflearningoffice.com by Josh Bersin

Does this mean it will do away with the L&D job? Not at all — these tools give you superhuman powers to find content faster, put it in front of employees in a more useful way and more creatively craft character simulations, assessments, learning in the flow of work and more.

And it’s about time. We really haven’t had a massive innovation in L&D since the early days of the learning experience platform market, so we may be entering the most exciting era in a long time.

Let me give you the five most significant use cases I see. And more will come.

AI and Tech with Scenarios: ID Links 7/11/23 — from christytuckerlearning.com by Christy Tucker

As I read online, I bookmark resources I find interesting and useful. I share these links periodically here on my blog. This post includes links on using tech with scenarios: AI, xAPI, and VR. I’ll also share some other AI tools and links on usability, resume tips for teachers, visual language, and a scenario sample.

It’s only a matter of time before A.I. chatbots are teaching in primary schools — from cnbc.com by Mikaela Cohen

Key Points

  • Microsoft co-founder Bill Gates saying generative AI chatbots can teach kids to read in 18 months rather than years.
  • Artificial intelligence is beginning to prove that it can accelerate the impact teachers have on students and help solve a stubborn teacher shortage.
  • Chatbots backed by large language models can help students, from primary education to certification programs, self-guide through voluminous materials and tailor their education to specific learning styles [preferences].

The Rise of AI: New Rules for Super T Professionals and Next Steps for EdLeaders — from gettingsmart.com by Tom Vander Ark

Key Points

  • The rise of artificial intelligence, especially generative AI, boosts productivity in content creation–text, code, images and increasingly video.
  • Here are six preliminary conclusions about the nature of work and learning.

The Future Of Education: Embracing AI For Student Success — from forbes.com by Dr. Michael Horowitz

Unfortunately, too often attention is focused on the problems of AI—that it allows students to cheat and can undermine the value of what teachers bring to the learning equation. This viewpoint ignores the immense possibilities that AI can bring to education and across every industry.

The fact is that students have already embraced this new technology, which is neither a new story nor a surprising one in education. Leaders should accept this and understand that people, not robots, must ultimately create the path forward. It is only by deploying resources, training and policies at every level of our institutions that we can begin to realize the vast potential of what AI can offer.

AI Tools in Education: Doing Less While Learning More — from campustechnology.com by Mary Grush
A Q&A with Mark Frydenberg

Why Students & Teachers Should Get Excited about ChatGPT — from ivypanda.com with thanks to Ruth Kinloch for this resource

Table of Contents for the article at IvyPanda.com entitled Why Students & Teachers Should Get Excited about ChatGPT

Excerpt re: Uses of ChatGPT for Teachers

  • Diverse assignments.
  • Individualized approach.
  • Interesting classes.
  • Debates.
  • Critical thinking.
  • Grammar and vocabulary.
  • Homework review.

SAIL: State of Research: AI & Education — from buttondown.email by George Siemens
Information re: current AI and Learning Labs, education updates, and technology

Why ethical AI requires a future-ready and inclusive education system — from weforum.org

A specter is haunting higher education — from aiandacademia.substack.com by Bryan Alexander
Fall semester after the generative AI revolution

In this post I’d like to explore that apocalyptic model. For reasons of space, I’ll leave off analyzing student cheating motivations or questioning the entire edifice of grade-based assessment. I’ll save potential solutions for another post.

Let’s dive into the practical aspects of teaching to see why Mollick and Bogost foresee such a dire semester ahead.

Items re: Code Interpreter

Code Interpreter continues OpenAI’s long tradition of giving terrible names to things, because it might be most useful for those who do not code at all. It essentially allows the most advanced AI available, GPT-4, to upload and download information, and to write and execute programs for you in a persistent workspace. That allows the AI to do all sorts of things it couldn’t do before, and be useful in ways that were impossible with ChatGPT.

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Legal items

MISC items

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Coursera’s Global Skills Report for 2023

On 06/29/2023, in Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, Australia, business, Canada, career development, change, colleges, communities of practice, community colleges, computer science, corporate / business world, corporate universities / corporate training, Europe, global / globalization, higher education, human-computer interaction (HCI), India, intelligent systems, K-12 related, learning ecosystem, lifelong learning, platforms, reinvent, research, skills, society, staying relevant, trends, UK, United States, universities, vendors, by Daniel Christian

Coursera’s Global Skills Report for 2023 — from coursera.org
Benchmark talent and transform your workforce with skill development and career readiness insights drawn from 124M+ learners.

Excerpt:

Uncover global skill trends
See how millions of registered learners in 100 countries are strengthening critical business, technology, and data science skills.

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As AI Spreads, Experts Predict the Best and Worst Changes in Digital Life by 2035 [Anderson & Rainie]

On 06/26/2023, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, education, education reform, education technology, emerging technologies, future, game-changing environment, generational differences, health, human-computer interaction (HCI), ideas, research, science, society, sociology, the downsides of how people use tech, tools, United States, vendors, by Daniel Christian

As AI Spreads, Experts Predict the Best and Worst Changes in Digital Life by 2035 — from pewresearch.org by Janna Anderson and Lee Rainie
They have deep concerns about people’s and society’s overall well-being. But they also expect great benefits in health care, scientific advances and education

Table of Contents

  1. A sampling of overarching views on digital change
  2. Expert essays on the expected impact of digital change by 2035
  3. Themes: The most harmful or menacing changes in digital life that are likely by 2035
  4. Themes: The best and most beneficial changes in digital life that are likely by 2035
  5. Closing thoughts on ChatGPT and other steps in the evolution of humans, digital tools and systems by 2035About this canvassing of experts
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What do higher education students want from online learning? [McKinsey’s Child, Frank, Law, & Sarakatsannis]

On 06/26/2023, in 21st century, 24x7x365 access, adjunct faculty, Asia, Australia, blended learning, colleges, community colleges, digital learning, education technology, Europe, faculty, higher education, India, instructional design, law schools, learning, learning ecosystem, learning preferences, online learning, research, student-related, teaching & learning, UK, United States, universities, vendors, by Daniel Christian

What do higher education students want from online learning? — from mckinsey.com by Felipe Child, Marcus Frank, Jonathan Law, and Jimmy Sarakatsannis
What over 7000 students across 17 countries value most in online education

This research from McKinsey covers eight dimensions of the online learning experience encompassing 24 attributes, thereby providing a broad view of what higher education students want.

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Intrinsic motivation is much more powerful for many types of complex work. Which three things are significantly involved here?

On 05/25/2023, in Australia, business, corporate / business world, corporate universities / corporate training, creativity, Daniel S. Christian, education, education reform, Emotion, engagement / engaging students, experimentation, hearts -- matters of the heart, higher education, homeschooling/homeschoolers, ideas, K-12 related, learning, Learning Experience Design, lifelong learning, more voice more choice more control, motivation, participation, passions, productivity / tips and tricks, psychology, research, science, UK, United States, vision/possibilities, workplace, by Daniel Christian

Below comments/notes are from DSC (with thanks to Roberto Ferraro for this resource):
according to Dan Pink, intrinsic motivation is very powerful — much more powerful for many types of “messy/unclear” cognitive work (vs. clear, more mechanical types of work). What’s involved here according to Pink? Autonomy, mastery, and purpose. 

Dan Pink makes his case in the video below. My question is:

  • If this is true, how might this be applied to education/training/lifelong learning?

From DSC (cont’d):

As Dan mentions, we each know this to be true. For example, for each of our kids, my wife and I introduced them to a variety of things — music, sports, art, etc. We kept waiting for them to discover which thing(s) that THEY wanted to pursue. Perhaps we’ll find out that this was the wrong thing to do. but according to Pink, it’s aligned with the type of energy and productivity that gets released when we pursue something that we want to pursue. Plus creativity flows in this type of setting. 

Again, my thanks to Roberto Ferraro for resurfacing this item as his “One ‘must read’ for this week” item of his newsletter.

Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

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Is It Time to Rethink the Traditional Grading System? [Young & Talbert]

On 05/15/2023, in adjunct faculty, assessment, change, faculty, higher education, instructional design, learning, learning ecosystem, love of learning, motivation, pedagogy, research, student-related, teaching & learning, United States, universities, by Daniel Christian

Is It Time to Rethink the Traditional Grading System? — from edsurge.com by Jeffrey R. Young and Robert Talbert

Excerpt:

After that, this professor vowed never to use traditional grades on tests again. But he wasn’t quite sure what to replace them with.

As Talbert soon discovered, there’s a whole world of so-called alternative grading systems. So many, in fact, that he ended up co-writing an entire book about them with a colleague at his university, David Clark. The book, which is due out this summer, is called “Grading for Growth: A Guide to Alternative Grading Practices that Promote Authentic Learning and Student Engagement in Higher Education.”

EdSurge connected with Talbert to hear what he uses in his classes now, and why he argues that reforming how grading works is key to increasing student engagement.

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This company adopted AI. Here’s what happened to its human workers [Rosalsky]

On 05/09/2023, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, business, productivity / tips and tricks, research, United States, universities, usability, user experience (UX), vendors, workplace, by Daniel Christian

This company adopted AI. Here’s what happened to its human workers — from npr.org by Greg Rosalsky|

Excerpt:

What the economists found offers potentially great news for the economy, at least in one dimension that is crucial to improving our living standards: AI caused a group of workers to become much more productive. Backed by AI, these workers were able to accomplish much more in less time, with greater customer satisfaction to boot. At the same time, however, the study also shines a spotlight on just how powerful AI is, how disruptive it might be, and suggests that this new, astonishing technology could have economic effects that change the shape of income inequality going forward.

The article links to:
Generative AI at Work — from nber.org by Erik Brynjolfsson, Danielle Li & Lindsey R. Raymond

We study the staggered introduction of a generative AI-based conversational assistant using data from 5,179 customer support agents. Access to the tool increases productivity, as measured by issues resolved per hour, by 14 percent on average, with the greatest impact on novice and low-skilled workers, and minimal impact on experienced and highly skilled workers. We provide suggestive evidence that the AI model disseminates the potentially tacit knowledge of more able workers and helps newer workers move down the experience curve. In addition, we show that AI assistance improves customer sentiment, reduces requests for managerial intervention, and improves employee retention.

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Introducing Teach AI — Empowering educators to teach w/ AI & about AI [ISTE & many others]

On 05/09/2023, in 21st century, 24x7x365 access, adjunct faculty, Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, collaboration, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, copyright/ownership/NFTs, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, leadership, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, Microsoft, more voice more choice more control, online media, online tutoring, open courseware and systems, personalized/customized learning, platforms, productivity / tips and tricks, professional development, programming, research, skills, society, strategy, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, the downsides of how people use tech, tools, training / L&D, trends, United States, universities, vendors, virtual tutoring, vision/possibilities, web-based collaboration, workplace, youth, by Daniel Christian

Teach AI -- Empowering educators to teach with AI and about AI

Also relevant/see:

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Nurturing student learning and motivation through the application of cognitive science [Zhou]

On 05/02/2023, in education, education reform, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, learning theories, memory, metacognition / metacognitive skills, motivation, psychology, research, student teaching/teacher education, student-related, teachers, teaching & learning, United States, universities, by Daniel Christian

Nurturing student learning and motivation through the application of cognitive science — from deansforimpact.org by Cece Zhou

Excerpt:

In particular, TutorND’s emphasis on applying principles of cognitive science – the science of our how minds work – in tutoring practice has not only bolstered the interest and confidence of some of its tutors to pursue teaching, but also strengthened their instructional skills and meaningfully contributed to PK-12 student growth.

Today, TutorND trains and supports 175 tutors in schools across the greater South Bend community and across the country. Given that these tutors are students, faculty, and staff interested in cognitive science research and its application to student learning, they’re able to bridge theory and practice, assess the effectiveness of instructional moves, and foster learning experiences for students that are rigorous, affirming, and equitable.

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“…we may soon be able to generate full-length movies from just a handful of text prompts within the next few years.” [The Rundown]

On 04/20/2023, in 21st century, 24x7x365 access, future, media/film, multimedia, NVIDIA, research, by Daniel Christian

New NVIDIA Research — excerpted section from this version of The Rundown

The NVIDIA research team just dropped a new research paper on creating high-quality short videos from text prompts. This technique uses Video Latent Diffusion Models (Video LDMs), which work efficiently without using too much computing power.

It can create 113 frame-long videos at 1280×2048 resolution, rendered at 24 FPS, resulting in 4.7-second clips. The team first trained the model on images, then added a time dimension to make it work with videos.

This new research is impressive. At the current pace of development, we may soon be able to generate full-length movies from just a handful of text prompts within the next few years.

Also relevant/see:

 

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Stanford’s 2023 AI Index Report

On 04/11/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, business, colleges, community colleges, computer science, corporate / business world, emerging technologies, ethics, experimentation, future, game-changing environment, global / globalization, higher education, law schools, legislatures / government / legal, morals/values, platforms, policy, productivity / tips and tricks, professional development, research, science, skills, society, the downsides of how people use tech, United States, universities, by Daniel Christian

Stanford’s 2023 AI Index Report — from aiindex.stanford.edu

The top takeaways from Stanford's 2023 AI Index Report 

 

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The Secret to Great Learning Design? Focus on Problems, not Solutions [Hardman]

On 03/31/2023, in colleges, community colleges, education, engagement / engaging students, experimentation, faculty, higher education, homeschooling/homeschoolers, ideas, instructional design, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, liberal arts, more voice more choice more control, motivation, participation, project-based learning, research, teachers, teaching & learning, United States, universities, by Daniel Christian

The Secret to Great Learning Design? Focus on Problems, not Solutions — from drphilippahardman.substack.com by Dr. Philippa Hardman
What a recent resurgence of research into problem-based learning has taught us about the value & impact of problem-based approaches

Excerpts:

Problem-based learning is an instructional approach that engages students in active, collaborative, and self-directed learning by exploring complex, real-world problems (rather than sitting and listening to a stage on the stage).

In a Problem-based learning scenario, students work in small groups and, under the guidance of a facilitator or instructor, identify, research, and analyse a problem before proposing and evaluating potential solutions and reaching a resolution.
…
Here are five of the most interesting research projects published on problem-based learning in the last few months:

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