instructional design

In Iowa, a “Billy Madison Project” Yields a Different Way to do School — from by Sam Chaltain
A great flood reveals a new path . . .

The idea was simple: ask sixty community leaders to fan across the city’s public schools, follow in the footsteps of its youngest citizens, and report back on what they saw.

Fifty-nine said yes. What they found, Pickering says, “were kids with dead eyes. Kids not engaged. And kids who knew that school was a game – and the game was rigged.”

So the Billy Madison team used its findings to design a prospective high school that would actually produce what its participants said they wanted to see:

Let kids pursue their passions. Give them real work to do. And get them out of the school building, and in the community.

Passion. Projects. People.

How 9 of the World’s Most Innovative Schools Ignite Children’s Love for Learning — from learntrepreneurs.com by Eva Keffenheim
And equip the next generation to become changemakers.

This thought-provoking discussion delves into the topic of system replacement in education. Is school transformation possible without replacing the existing education system? Joining [Michael] to discuss the question are Thomas Arnett of the Christensen Institute and Kelly Young of Education Reimagined.

In an educational landscape that constantly seeks marginal improvements, [Michael’s] guests speak to the importance of embracing new value networks that support innovative approaches to learning. They bring to light the issue of programs that remain niche solutions, rather than robust, learner-centered alternatives. In exploring the concept of value networks, [Michael’s] guests challenge the notion of transforming individual schools or districts alone. They argue for the creation of a new value network to truly revolutionize the education system. Of course, they admit that achieving this is no small feat, as it requires a paradigm shift in mindset and a careful balance between innovation and existing structures. In this conversation, we wrestle with the full implications of their findings and more.

From DSC:
This reminds me of the importance of TrimTab Groups who invent or test out something new apart from the mothership.

Technology in education — from unesco.org by ; via Eva Keffenheim
A tool on whose terms?

The 2023 GEM Report on technology and education explores these debates, examining education challenges to which appropriate use of technology can offer solutions (access, equity and inclusion; quality; technology advancement; system management), while recognizing that many solutions proposed may also be detrimental.

The report also explores three system-wide conditions (access to technology, governance regulation, and teacher preparation) that need to be met for any technology in education to reach its full potential.

Bloom Academy is the first and only self-directed learning center in Las Vegas – microschooling as true, nontraditional and permissionless education alternative. 5 Questions with Microschool Founders Sarah & Yamila.https://t.co/RvxtwGXvkZ

— National Microschooling Center (@microschooling) September 27, 2023

Campus Road Trip Diary: 8 Things We Learned This Year About America’s Most Innovative High Schools — from the74million.org by Greg Toppo & Emmeline Zhao

Since last spring, journalists at The 74 have been crossing the U.S. as part of our 2023 High School Road Trip. It has embraced both emerging and established high school models, taking us to 13 schools from Rhode Island to California, Arizona to South Carolina, and in between.

It has brought us face-to-face with innovation, with programs that promote everything from nursing to aerospace to maritime-themed careers.

At each school, educators seem to be asking one key question: What if we could start over and try something totally new?

What we’ve found represents just a small sample of the incredible diversity that U.S. high schools now offer, but we’re noticing a few striking similarities that educators in these schools, free to experiment with new models, now share. Here are the top eight:
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Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

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Empowering Parents: School Choice and Technology — from obviouslythefuture.substack.com
Ep 2 | Joe Connor, Odyssey Education, ESAs, Streamlined Technology Platform, Informed Choices

What does it take to empower parents and decentralize schooling? Why is a diversity of school models important to parents? Are we at a tipping point?
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PROOF POINTS: Lowering test anxiety in the classroom — from hechingerreport.org/ by Jill Barshay
Review of 24 studies finds quizzes boost achievement and alleviate stress over exams

Several meta-analyses, which summarize the evidence from many studies, have found higher achievement when students take quizzes instead of, say, reviewing notes or rereading a book chapter. “There’s decades and decades of research showing that taking practice tests will actually improve your learning,” said David Shanks, a professor of psychology and deputy dean of the Faculty of Brain Sciences at University College London.

Still, many students get overwhelmed during tests. Shanks and a team of four researchers wanted to find out whether quizzes exacerbate test anxiety. The team collected 24 studies that measured students’ test anxiety and found that, on average, practice tests and quizzes not only improved academic achievement, but also ended up reducing test anxiety. Their meta-analysis was published in Educational Psychology Review in August 2023.

The End of Scantron Tests — from theatlantic.com by Matteo Wong
Machine-graded bubble sheets are the defining feature of American schools. Today’s kindergartners may never have to fill one out.

Benefits of Pretesting in the Classroom — from learningscientists.org by Cindy Nebel

There are several possible reasons why pretesting worked in this study.

Students paid more attention to the pretested material during the lecture.
The pretest activated prior knowledge (some of them are clearly doing a lot of prework), and allowed them to encode the new information more deeply.
They were doing a lot of studying of the pretested information outside of class.
There are some great spaced retrieval effects going on. That is, students saw the material before lecture, they took a quiz on it during the pretest, then later they reviewed or quizzed themselves on that same material again during self-study.

How new AI chatbots could help teachers with their toughest problems [Toppo] + other AI in education related items

On 09/19/2023, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, content development, aggregation, repositories, digital audio, digital learning, education, education technology, emerging technologies, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, K-12 related, learning ecosystem, Learning Experience Design, multimedia, Natural Language Processing (NLP), platforms, productivity / tips and tricks, professional development, skills, teachers, teaching & learning, United States, voice recognition / voice enabled interfaces, by Daniel Christian

How new AI chatbots could help teachers with their toughest problems — from fastcompany.com by Greg Toppo
At least two groups are working on bots that would make peer-reviewed research, buried in expensive academic journals, accessible for everyday use.

But this fall, a few educators are quietly charting a different course they believe could change everything: At least two groups are pushing to create new AI chatbots that would offer teachers unlimited access to sometimes confusing and often paywalled peer-reviewed research on the topics that most bedevil them.

Their aspiration is to offer new tools that are more focused and helpful than wide-ranging ones like ChatGPT, which tends to stumble over research questions with competing findings. Like many juveniles faced with questions they can’t answer, it has a frustrating tendency to make things up.

Using ChatGPT Custom Instructions for Fun and Profit — from every.to by Dan Shipper
How to 10x ChatGPT with personalized answers

Then, I turned Custom Instructions on and gave it the same starting prompt. Here are a few of the responses (emphases are mine):

“Purpose: What’s the primary goal of the course? Is it to augment your existing offerings at Every, serve as a standalone product, or something else?”

“Content Depth: Given your love for detailed, intellectual writing, how in-depth will you go on each topic?”

“Guest Contributions: Do you plan to involve guest experts, perhaps even some of your writing heroes or team members like Kate Lee and Evan Armstrong?”

“Time Investment: Given that you’re already grappling with being too opportunistic and dutiful, how will you allocate time for this without sidelining your creative work or burdening yourself?”

AI for comics — from aiandacademia.substack.com by Bryan Alexander
Exploring an entertaining new Hugging Face application

As generative AI grows, more uses appear. Beyond text and images, other domains for creation pop up as companies, groups, and individuals try out new functions.

Today’s case in point is AI Comic Factory from Hugging Face.* This service will generate a couple of comic book pages based on your text input. It gives you choices of comic style and page layout as well.

Items from Tom Barrett’ Promptcraft: AI for a better learning ecosystem

This new AI video tool clones your voice in 7 languages — and it’s blowing up — from sg.news.yahoo.com by Christoph Schwaiger

How many languages do you speak? Thanks to AI, that number could be as many as seven. Los Angeles-based AI video platform HeyGen has launched a new tool that clones your voice from a video and translates what you’re saying into seven different languages. If that wasn’t enough, it also syncs your lips to your new voice so the final clip looks (and sounds) as realistic as possible.

Microsoft and Project Gutenberg release over 5,000 free audiobooks — from the-decoder.com by Matthias Bastian

Microsoft and Project Gutenberg have used AI technologies to create more than 5,000 free audiobooks with high-quality synthetic voices.

For the project, the researchers combined advances in machine learning, automatic text selection (which texts are read aloud, which are not), and natural-sounding speech synthesis systems.

School Guide to Student Financial Literacy: What to Teach and When [Phillips]

On 09/19/2023, in business, content development, aggregation, repositories, corporate / business world, curriculum, economics, education, homeschooling/homeschoolers, instructional design, K-12 related, marketplaces, workplace, by Daniel Christian

School Guide to Student Financial Literacy: What to Teach and When — from couponchief.com by Linda Phillips; with thanks to Karen Bell for this resource

It’s crucial – for individuals and the larger community – that students and young adults develop a solid foundation of personal finance knowledge, skills and habits in order to thrive. Practicing good money habits means the difference between long-term financial security and serious financial straits.

Financial literacy education is the responsibility of everyone, but most particularly parents and teachers. This guide focuses primarily on teaching financial literacy in elementary, middle and high schools. However, the concepts discussed below – and many of the resources listed – are also helpful for parents and others interested in promoting sound personal finance practices by kids and teens alike. Below you’ll find our suggestions for what concepts should be taught to kids from pre-k through grade 12, and the best times to introduce those concepts. You’ll also find an extensive list of some of the best resources – books, lesson plans, activities, videos, games and more – to supplement financial literacy education in the classroom.

“Will Generative AI Improve Digital Accessibility?” + other items re: accessibility from boia.org

On 09/18/2023, in Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), instructional design, productivity / tips and tricks, programming, society, tools, vendors, vision/possibilities, web design and production, by Daniel Christian

Will Generative AI Improve Digital Accessibility? — from boia.org

Generative A.I. could reduce the busywork of accessibility
Most digital accessibility issues can be addressed easily with clean code and thoughtful content creation. However, many “easy” fixes still take time to implement, particularly when humans need to be involved.

The Web Content Accessibility Guidelines (WCAG) function as the international standards of digital accessibility. WCAG includes a number of requirements that require a subjective approach, which can create busywork for developers, designers, and writers.

For example:

WCAG requires text alternatives (alt text) for images and other non-text content. Writing alt text takes a few seconds, but if you’re operating a large eCommerce site with thousands of images, you may need to spend days or weeks adding alt text.
WCAG requires captions and transcripts for video content. If you don’t plan for those features when drafting your videos, you’ll need to write them after-the-fact — and on a lengthy video, that’s a time-consuming process.
WCAG requires content to maintain an appropriate color contrast ratio. Adjusting your website’s CSS (Cascading Style Sheets) isn’t especially difficult, but on a complex website, designers may need to spend hours adjusting each element.

Generative A.I. may be able to address these challenges.

Also relevant/see:

How Accessibility Can Help You Grow Your Web Design Business — from boia.org
Worried About Web Accessibility Lawsuits? Start Here. — from boia.org
Semantics and Screen Readers: Creating Better Content — from boia.org

What Will Determine AI’s Impact on College Teaching? 5 Signs to Watch. — from chronicle.com by Beth McMurtrie (behind a paywall)

One of the biggest challenges to navigate now is the fact that more digital tools will come with generative AI already embedded in them, says Annette Vee, director of composition and an associate professor at the University of Pittsburgh. “It’s everywhere in professional writing.”

“We need to be fundamentally rethinking ways we teach writing, so we are thinking about integrating tools mindfully,” says Vee, who helped develop a new resource, TextGenEd, that provides guidance in this area. “The real challenge is how do we teach courses that are preparing students and that are smart about generative AI? We have very few teachers currently equipped to do that work.”

“It’s best if there are real stakes attached to the work, for example, an authentic audience the student is writing to,” he writes. “A subject on which students have both sufficient interest and knowledge in order to feel as though they can write convincingly to this audience also matters a lot.”

Also relevant/see — via Robert Gibson on LinkedIn:

Learnt.ai — Built for Learning Specialists — from learnt.ai
Harness the power of artificial intelligence to enhance your learning and development efforts with our easy-to-use platform – no technical expertise required!

Introducing Learnt.ai – a revolutionary collection of AI-powered content generation tools and AI chatbots that are specifically designed to support the common writing tasks of educationalists and learning and development professionals. Imagine being able to generate learning objectives on any topic of your choice, create engaging icebreakers and activities, write assessment questions with ease, and so much more.

Also relevant/see:

An AI and higher education panel — from aiandacademia.substack.com by Bryan Alexander
Live notes

Today I took in a webinar on AI and higher education. The American Association of Colleges and Universities hosted “The AI Revolution: Transforming Higher Education for the Workforce of Tomorrow” and I’d like to share my running notes.

Also relevant/see:

Students’ Perspectives on Using AI — from er.educause.edu by Sarah J. Buszka, Jeremy Cortez, and Isabella Meltzer

Students are using artificial intelligence tools to assist them in their academic careers. Three students share their viewpoints on the tools they use and how using these tools helps them in their coursework and prepares them for the professional world.

Also relevant/see:

Why Professors Are Polarized on AI — from insidehighered.com by Susan D’Agostino
Academics who perceive threats to education from AI band together as a survival mechanism. The resulting alliances echo divisions formed during online learning’s emergence.

Education in America is going to look very different 10 years from now.

In some places, that future is already here – and there are some incredibly talented people building it.

Here are 10 of those people you should be following ?

— rebelEducator (@rebelEducator) September 3, 2023

Big Ideas in Education — from edweek.org by various

Big Ideas is Education Week’s annual special report that brings the expertise of our newsroom—and occasionally those beyond our newsroom—to bear on the challenges you might be facing in your classroom, school, or district. Big Ideas questions the status quo and explores opportunities to help you build a better, more just learning environment for all students. Browse our collection.

Are your students prepared for active learning? You can help them! — from The Educationalist at educationalist.substack.com by Alexandra Mihai

What does active learning require from students?
There is no secret that PBL and all other active learning approaches are much more demanding from students compared to traditional methods, mainly in terms of skills and attitudes towards learning. Here are some of the aspects where students, especially when first faced to active learning, seem to struggle:

Formulating own learning goals and following through with independent study. While in traditional teaching the learning goals are given to students, in PBL (or at least in some of its purest variants), they need to come up with their own, for each problem they are solving. This requires understanding the problem well but also a certain frame of mind where one can assess what is necessary to solve it and make a plan of how to go about it (independently and as a group). All these seemingly easy steps are often new to students and something they intrinsically expect from us as educators.

From DSC:
The above excerpt re: formulating one’s own learning goals reminded me of project management and learning how to be a project manager.

It reminded me of a project that I was assigned back at Kraft (actually Kraft General Foods at the time). It was an online-based directory of everyone in the company at the time. When it was given to me, several questions arose in my mind:

Where do I start?
How do I even organize this project?
What is the list of to-do’s?
Who will I need to work with?

Luckily I had a mentor/guide who helped me get going and an excellent contact with the vendor who educated me and helped me get the ball rolling.

I’ll end with another quote and a brief comment:

Not being afraid of mistakes and learning from them.
The education system, at all stages, still penalises mistakes, often with long term consequences. So it’s no wonder students are afraid of making mistakes…

From DSC:
How true.

AI Can Teach Students a Powerful Lesson About the Truth — from edweek.org by Rachna Nath
How I’m harnessing ChatGPT in the classroom

What we teachers desperately need, though, is an ocean of examples and training. We need to see and share examples of generative AI—any type of artificial intelligence that can be used to create new text, images, video, audio, code, or data—being used across the curriculum. We need catalogs of new lesson plans and new curriculum.

And we need training on theoretical and practical levels: training to understand what artificial intelligence actually is and where it stands in the development timeline and training about how to integrate it into our classes.

So, my advice to teachers is to use any and all the generative AI you can get your hands on. Then experience—for yourself—verification of the information. Track it back to the source because in doing so, you’ll land on the adjustments you need to make in your classes next year.

From DSC:
Interesting.

Learners can now seamlessly transition between AI-powered assistance (AI Tutor) and Live Expert support to get access to instant support, whether through AI-guided learning or real-time interactions with a human expert.

From Brainly Enrolls New AI-Powered Tools for More
Personalized and Accessible Learning (businesswire.com)

ASSIGNMENT MAKEOVERS IN THE AI AGE WITH DEREK BRUFF — from teachinginhighered.com by Bonni Stachowiak
Derek Bruff shares about assignment makeovers in the AI age on episode 481 of the Teaching in Higher Ed podcast

Comment on this per Derek Bruff:

Why not ask ChatGPT to write what King or X would say about a current debate and then have the students critique the ChatGPT output? That would meet the same learning goals while also teaching AI literacy.

(Be sure to read Asim’s contribution for a useful take.)

Generative AI in Schools: A Closer Look and Future Predictions — from thejournal.com by Ted Mo Chen (emphasis DSC)

Here’s a closer look at the concurrent AI landscape in schools — and a prediction of what the future holds.

So far, high-profile ventures in the instruction realm, such as Kyron Learning, have fused teacher-produced, recorded content with LLM-powered conversational UX. The micro-learning tool Nolej references internet material when generating tasks and tests, but always holds the language model closely to the ground truth provided by teachers. Both are intriguing takes on re-imagining how to deliver core instruction and avoid hallucinations (generated content that is nonsensical).

Also see this posting on LinkedIn about that article, where Ted Mo Chen mentions the following companies:

Companies to watch:

New report: Trends in Learning 2023 — from open.ac.uk by Professor Agnes Kukulska-Hulme

So, what six trends have we chosen for this year’s report? They are: advances in AI, the metaverse and learning, challenge-based learning, entrepreneurial learning, seeing yourself in the curriculum and multimodal learning. In the report, we discuss each of the trends in turn, why we think they are important and the impact they are already having or will have on workplace learning. We have also interviewed six people, experts in their field, to find out their opinions and experiences of the trends, sharing their insights in the report.

Unity executive shares her thoughts on the future of education and technology with the rise in popularity of A.I. and real-time 3D content — from fortune.com by Preston Fore

As a result, real-time 3D jobs are among the most in demand within the tech industry. According to Unity’s vice president of Education and Social Impact, Jessica Lindl, demand is 50% higher than traditional IT jobs—adding that salaries for real-time 3D jobs are 60% greater.

“We want to provide really simple on ramps and pathways that will lead you into entry level jobs so that at any point in your career, you can decide to transfer into the industry,” Lindl says.

How universities worldwide are responding to generative AI — from linkedin.com by University World News

University World News continues its exploration of generative AI in our new special report on ‘AI and Higher Education’. In commentaries and features, academics and our journalists around the world investigate issues and developments around AI that are impacting on universities. Generative AI tools are challenging and changing higher education systems and institutions — how they are run as well as ways of teaching and learning and conducting research.

We’ve collated the lead articles below for you to read and the full report is available here.

What’s the future of generative AI? An early view in 15 charts — from mckinsey.com
Generative AI has hit the ground running—so fast that it can feel hard to keep up. Here’s a quick take pulled from our top articles and reports on the subject.

Teaching in the Age of AI — from cft.vanderbilt.edu by Michael Coley, Stacey M. Johnson, Paige Snay, Joe Bandy, John Bradley, and Ole Molvig

This guide will explore:

What is generative AI, and where can it be found?
How can I harness generative AI tools in my teaching to improve student learning?
How can I craft assignments that deter unauthorized use of generative AI?
How does academic integrity relate to generative AI tools?
What resources are there for instructors who want to engage with generative AI tools?

15 Inspirational Voices in the Space Between AI and Education — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
Get Inspired for AI and The Future of Education.

My advice for you today is this: fill your LinkedIn-feed and/or inbox with ideas, inspirational writing and commentary on AI.

This will get you up to speed quickly and is a great way to stay informed on the newest movements you need to be aware of.

My personal recommendation for you is to check out these bright people who are all very active on LinkedIn and/or have a newsletter worth paying attention to.

I have kept the list fairly short – only 15 people – in order to make it as easy as possible for you to begin exploring.

It is crucial to recognize that the intrinsic value of higher education isn’t purely in its ability to adapt to market fluctuations or technological innovations. Its core strength lies in promoting critical thinking, nurturing creativity, and instilling a sense of purpose and belonging. As AI progresses, these traits will likely become even more crucial. The question then becomes if higher education institutions as we know them today are the ony ones, or indeed the best ones, equipped to convey those core strengths to students.

Higher education clearly finds itself caught in a whirlwind of transformation, both in its essence and execution. The juxtaposition of legacy structures and the evolving technological landscape paints a complex picture.

For institutional leaders, the dual challenge lies in proactively seeking and initiating change (not merely adapting to it) without losing sight of their foundational principles. Simultaneously, they must equip students with skills and perspectives that AI cannot replicate.

— from Is Higher Education Nearing the Tipping Point?
by Jeppe Klitgaard Stricker

EdTech Companies Are Racing to Build a Github Copilot for Teachers. This Will Not Be Easy. — from danmeyer.substack.com by Dan Meyer; via Matthew Tower
Generative AI has produced an extremely useful tool for software developers. Can it do the same for teachers?

Also, Matthew Tower, pulled this quote from The big problem with grades. / via Washington Post

“They begged, bargained with, and berated their instructor in pursuit of better grades — not “because they like points,” but rather, “because the education system has told them that these points are the currency with which they can buy a successful future.””

Start these 3 classroom habits ASAP! — from etrievalpractice.org by Pooja K. Agarwal, Ph.D.

Habit #2: Engage students in a brain dump or two things as an entry ticket or exit ticket. Spend one minute or less having students write down everything (or just two things) they remember from class. The key: Don’t grade it! Keep retrieval practice no-stakes to emphasize it’s a learning strategy, not an assessment strategy.

Teaching from the heart in 13 steps — from timeshighereducation.com by Beiting He
Engaging your students through empathy requires teachers to share their own stories and vulnerabilities and foster a safe space for learning. Here, Beiting He offers 13 ways to create a caring classroom

Move student communication from passive to active using ‘I like, I wish, I wonder’ — from timeshighereducation.com by Rebeca Elizabeth Alvarado Ramírez
Rebeca Elizabeth Alvarado Ramírez introduces a methodology that encourages effective communication in digital learning processes

In summary, “I wish” is about proposing positive changes and improvements, while “I wonder” is about asking thoughtful questions to gain insight and foster meaningful conversations within the team.

A look back over 10 years of MOOCs [Highton]

On 09/02/2023, in collaboration, instructional design, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, MOOCs -- Massive Open Online Courses, online learning, platforms, UK, vendors, by Daniel Christian

A look back over 10 years of MOOCs — from timeshighereducation.com by Melissa Highton
Lessons learned over a decade of developing and delivering massive open online courses (MOOCs)

We began developing massive open online courses (Moocs) 10 years ago. The aim was to experiment with new ways of teaching online, to research what kinds of learning and courses could be achieved, and to have fun. We were never in it for the money.

Although it was undeniably expensive at the start, a decade later, this activity has brought considerable return on that investment in terms of what we have learned, the places we have reached and the impact we have had, inside and outside our institution.

The University of Edinburgh now offers 80 online master’s courses drawn from all disciplines and 100 Moocs and microcredentials, reaching 4.7 million learners around the world.

OpenAI angles to put ChatGPT in classrooms with special tutor prompts — from techcrunch.com by Devin Coldewey

Taking the bull by the horns, the company has proposed a few ways for teachers to put the system to use… outside its usual role as “research assistant” for procrastinating students.
.

Q2 Earnings Roundup – EdTech Generative AI — from aieducation.substack.com by Claire Zau
A roundup of LLM and AI discussions from Q2 EdTech Earnings

In this piece, we’ll be breaking down how a few of edtech’s most important companies are thinking about AI developments.

Duolingo
Powerschool
Coursera
Docebo
Instructure
Nerdy

Two items re: K-12 learning ecosystem that show the motivating power of choice

On 09/02/2023, in career development, change, changing business models, education, education reform, innovation, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, learning preferences, more voice more choice more control, motivation, online learning, personalized/customized learning, by Daniel Christian

Build Your Own High School: Phoenix Students Choose from 500 Classes, Internships, College Courses, Career Programs & More — from the74million.org by Beth Hawkins; via Michael Horn
At Phoenix Union City, high school doesn’t refer to a building but a personalized path of experiences that teenagers create for themselves.

PXU City HS has no physical site — its 83 students create custom programs, choosing from a menu of some 500 options from Phoenix Union High School District’s bricks-and-mortar schools; its online-only program, internships; jobs; college classes; and career training programs.

But in the process, it became clear just how many high school-aged students were working, caring for siblings, filling in for their parents or significantly behind — or ahead and bored — academically.
…
If PXU City works as well for all its students as it does for Dominguez, he adds, every high school in the district ought to throw away the bell schedule and offer a truly personalized education.

‘Every day matters’: CCSD students, teachers kick off 2023-24 school year — from reviewjournal.com by Julie Wootton-Greener; via Michael Horn

There are 10 areas of study students chose from: architectural design, business administration logistics-distribution, computer science, construction technology, cybersecurity, diesel/auto technology, energy technologies, human and social services, teaching and training, and sports medicine.

Students pick a job within the program they’re working toward, but that can change, Cordia said, noting that there are hundreds of possible jobs within the automotive program.

The school received e more than 1,000 applications from interested students, he said, calling it “very humbling.”

Addendum that also involves changes within the K12 learning ecosystem:

Is the Post-Pandemic Era Ripe for Rethinking High School? — from edsurge.com by Rebecca Koenig

What if the presenter/teacher/professor/ trainer/preacher provided a set of notes for the AI to compare to the readers’ notes? [Christian]

On 08/29/2023, in Artificial Intelligence/Agents/LLMs/and Related, bots, communications, communities of practice, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, education technology, emerging technologies, experimentation, future, Google, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, lifelong learning, presentations, religion, teachers, teaching & learning, tools, United States, universities, vendors, vision/possibilities, by Daniel Christian

From DSC:
Yesterday, I posted the item about Google’s NotebookLM research tool. Excerpt:

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.

That got me to thinking…

What if the presenter/teacher/professor/trainer/preacher provided a set of notes for the AI to compare to the readers’ notes?

That way, the AI could see the discrepancies between what the presenter wanted their audience to learn/hear and what was actually being learned/heard. In a sort of digital Socratic Method, the AI could then generate some leading questions to get the audience member to check their thinking/understanding of the topic.

The end result would be that the main points were properly communicated/learned/received.

2023 Students and Technology Report: Flexibility, Choice, and Equity in the Student Experience — from library.educause.edu by Mark McCormack

Excerpt:

What does it mean to be a student in 2023, on the fading tail end of a global pandemic and in the midst of lingering uncertainty about the world? What do students still need from a postsecondary education, and where does technology serve as a fulcrum—for better and for worse—both opening and closing students’ paths forward through their educational journeys?

In this report we draw on data from EDUCAUSE’s 2023 Student Survey to offer higher education leaders and decision-makers key insights as they consider what these questions might mean for their particular institutions and communities.

The report explores findings across three main areas, each representing a key challenge (and opportunity) institutions are going to face now and in the future:

Supporting students on and off campus
The role of students as consumers in the educational marketplace
Equity and accessibility in teaching and learning

Students who are empowered to “choose their own adventure” with their course modality engagements are far more satisfied with their course experiences than those who don’t get to choose.

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

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

On 08/28/2023, in adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, 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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