experimentation

ChatGPT as a teaching tool, not a cheating tool [Rose]

On 03/14/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, digital learning, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, pedagogy, personalized/customized learning, platforms, productivity / tips and tricks, professional development, teaching & learning, tools, UK, United States, universities, by Daniel Christian

ChatGPT as a teaching tool, not a cheating tool — from timeshighereducation.com by Jennifer Rose
How to use ChatGPT as a tool to spur students’ inner feedback and thus aid their learning and skills development

Excerpt:

Use ChatGPT to spur student’s inner feedback
One way that ChatGPT answers can be used in class is by asking students to compare what they have written with a ChatGPT answer. This draws on David Nicol’s work on making inner feedback explicit and using comparative judgement. His work demonstrates that in writing down answers to comparative questions students can produce high-quality feedback for themselves which is instant and actionable. Applying this to a ChatGPT answer, the following questions could be used:

Which is better, the ChatGPT response or yours? Why?
What two points can you learn from the ChatGPT response that will help you improve your work?
What can you add from your answer to improve the ChatGPT answer?
How could the assignment question set be improved to allow the student to demonstrate higher-order skills such as critical thinking?
How can you use what you have learned to stay ahead of AI and produce higher-quality work than ChatGPT?

Working To Incorporate Legal Technology Into Your Practice Isn’t Just A Great Business Move – It’s Required [Williams]

On 03/11/2023, in 21st century, Bias | Diversity Equity & Inclusion (DE&I), Canada, experimentation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, the downsides of how people use tech, tools, United States, vendors, by Daniel Christian

Working To Incorporate Legal Technology Into Your Practice Isn’t Just A Great Business Move – It’s Required — from abovethelaw.com by Chris Williams

Excerpt:

According to Model Rule 1.1 of the ABA Model Rules of Professional Conduct: “A lawyer shall provide competent representation to a client. Competent representation requires the legal knowledge, skill, thoroughness and preparation reasonably necessary for the representation.”

In 2012, the ABA House of Delegates voted to amend Comment 8 to Model Rule 1.1 to include explicit guidance on lawyers’ use of technology.

If Model Rule 1.1 isn’t enough of a motivator to dip your feet in legal tech, maybe paying off that mortgage is. As an extra bit of motivation, it may benefit you to pin the ABA House of Delegate’s call to action on your motivation board.

Also relevant/see:

While courts still use fax machines, law firms are using AI to tailor arguments for judges — from cbc.ca by Robyn Schleihauf

Excerpt (emphasis DSC):

What is different with AI is the scale by which this knowledge is aggregated. While a lawyer who has been before a judge three or four times may have formed some opinions about them, these opinions are based on anecdotal evidence. AI can read the judge’s entire history of decision-making and spit out an argument based on what it finds.

The common law has always used precedents, but what is being used here is different — it’s figuring out how a judge likes an argument to be framed, what language they like using, and feeding it back to them.

And because the legal system builds on itself — with judges using prior cases to determine how a decision should be made in the case before them — these AI-assisted arguments from lawyers could have the effect of further entrenching a judge’s biases in the case law, as the judge’s words are repeated verbatim in more and more decisions. This is particularly true if judges are unaware of their own biases.

Cutting through the noise: The impact of GPT/large language models (and what it means for legal tech vendors) — from legaltechnology.com by Caroline Hill

Excerpts:

Given that we have spent time over the past few years telling people not to get to overestimate the capability of AI, is this the real deal?

“Yeah, I think it’s the real thing because if you look at why legal technologies have not had the adoption rate historically, language has always been the problem,” Katz said. “Language has been hard for machines historically to work with, and language is core to law. Every road leads to a document, essentially.”
…
Katz says: “There are two types of things here. They would call general models GPT one through four, and then there’s domain models, so a legal specific large language model.
…
“What we’re going to see are large-ish, albeit not the largest model that’s heavily domain tailored is going to beat a general model in the same way that a really smart person can’t beat a super specialist. That’s where the value creation and the next generation of legal technology is going to live.”

Fresh Voices in Legal Tech with Kristen Sonday — from legaltalknetwork.com by Dennis Kennedy and Tom Mighell with Kristen Sonday

An inside look at a 5th grade classroom using ChatGPT [abcnews.go.com]

On 03/11/2023, in Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, creativity, education, education technology, experimentation, future, human-computer interaction (HCI), ideas, intelligent systems, K-12 related, learning, learning ecosystem, teachers, tools, United States, vendors, by Daniel Christian

An inside look at a 5th grade classroom using ChatGPT — from abcnews.go.com
Kentucky teacher Donnie Piercey uses ChatGPT with his fifth frade students.

Excerpt:

“Like every other educator, I had that concern. Is this something that students are only going to use to cheat? So I started to think about like, ‘OK, what role is AI — artificial intelligence — going to play in the classroom?'” Piercey, the 2021 Kentucky Teacher of the Year, told “Good Morning America.” “And the more that I thought about it, I realized that there’s a lot more good that can come about through AI as opposed to negative things that can come in the classroom.”

The Librarian: Can we prompt ChatGPT to generate reliable references? — from drphilippahardman.substack.com by Dr. Philippa Hardman

Lessons Learned

Always assume that ChatGPT is wrong until you prove otherwise.
Validate everything (and require your students to validate everything too).
Google Scholar is a great tool for validating ChatGPT outputs rapidly.
The prompt works better when you provide a subject area, e.g. visual anthropology, and then a sub-topic, e.g. film making.
Ignore ChatGPT’s links – validate by searching for titles & authors, not URLs.
Use intentional repetition, e.g. of Google Scholar, to focus ChatGPT’s attention.
Be aware: ChatGPT’s outputs end at 2021. You need to fill in the blanks since then.

13 Formative Assessments That Inspire Creativity — from edutopia.org by Paige Tutt
Sometimes mixing in formative assessments that go a step beyond exit slips and low-stakes quizzes can inject some fun—and creativity—into learning.

Excerpt:

Quick checks for understanding aren’t new, of course, but when time allows, occasionally injecting an element of creativity into formative assessments can deliver unexpected benefits. For example—regardless of a student’s artistic talent—research suggests that drawing the information they’re learning can increase student recall by nearly double. And when kids are encouraged to tap into their imagination to show what they know, they tend to ask more innovative questions of themselves, brainstorm fresh solutions to problems, and synthesize material in original and surprising ways.

Here are 13 formative assessment strategies that lean into creativity—inspired by the work of several Edutopia contributors, and from Finley’s handy list of quick checks for understanding.

Also see:

Is This Elementary School Near Pittsburgh the Future of Education? — from smithsonianmag.com by Kellie B. Gormly; with thanks to Tom Vander Ark out on Twitter for this resource
Ehrman Crest Elementary and Middle School is an innovative blend of children’s museum and classroom

Excerpt (emphasis DSC):

At Seneca Valley’s Ehrman Crest Elementary and Middle School, K-6 students are benefiting from an unusual collaboration. School leaders, architects and the Children’s Museum of Pittsburgh teamed up on the $63 million project, which opened in August 2022 after 790 construction days. With a student capacity of 1,400, the 200,000-square-foot facility takes a novel approach, forgoing the traditional school design for the playful, interactive, colorful elements of a children’s museum. Time magazine declared it one of the “Best Inventions of 2022.”
…
Matilda McQuaid, acting curatorial director at Cooper Hewitt, Smithsonian Design Museum in New York City, says this is the first time she has heard of a museum collaborating with a school to create a new environment from the ground up.

From DSC:
I love this collaboration — a children’s museum and a school district! — and the energy and creativity throughout this learning space!

17 Engaging Taxonomy Activities — from teachingexpertise.com

Students Need More Exercise. Here’s How to Add Activity Without Disrupting Learning — from edweek.org by Sarah D. Sparks

5 Ways to Inspire a Love for Learning in Students — from edweek.org by Elizabeth Heubeck

Love it or hate it, academics can’t ignore the already pervasive technology. [McMurtrie]

On 03/11/2023, in 21st century, 24x7x365 access, adjunct faculty, change, colleges, community colleges, digital learning, disruption, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, IT in HE, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, online media, online tutoring, platforms, productivity / tips and tricks, professional development, student-related, teaching & learning, tools, United States, universities, by Daniel Christian

ChatGPT is Everywhere — from chronicle.com by Beth McMurtrie
Love it or hate it, academics can’t ignore the already pervasive technology.

Excerpt:

Many academics see these tools as a danger to authentic learning, fearing that students will take shortcuts to avoid the difficulty of coming up with original ideas, organizing their thoughts, or demonstrating their knowledge. Ask ChatGPT to write a few paragraphs, for example, on how Jean Piaget’s theories on childhood development apply to our age of anxiety and it can do that.

Other professors are enthusiastic, or at least intrigued, by the possibility of incorporating generative AI into academic life. Those same tools can help students — and professors — brainstorm, kick-start an essay, explain a confusing idea, and smooth out awkward first drafts. Equally important, these faculty members argue, is their responsibility to prepare students for a world in which these technologies will be incorporated into everyday life, helping to produce everything from a professional email to a legal contract.

“Artificial-intelligence tools present the greatest creative disruption to learning that we’ve seen in my lifetime.”

Sarah Eaton, associate professor of education at the University of Calgary

6 Tenets of Postplagiarism: Writing in the Age of #ArtificialIntelligence – In my 2021 book, #Plagiarism in #HigherEducation, I introduce the idea of life in the post-plagiarism era. Here I expand on those ideas.https://t.co/DGzelD9phc pic.twitter.com/hHej4e55zq

— Dr. Sarah Elaine Eaton?? (@DrSarahEaton) February 25, 2023

Artificial intelligence and academic integrity, post-plagiarism — from universityworldnews.com Sarah Elaine Eaton; with thanks to Robert Gibson out on LinkedIn for the resource

Excerpt:

The use of artificial intelligence tools does not automatically constitute academic dishonesty. It depends how the tools are used. For example, apps such as ChatGPT can be used to help reluctant writers generate a rough draft that they can then revise and update.

Used in this way, the technology can help students learn. The text can also be used to help students learn the skills of fact-checking and critical thinking, since the outputs from ChatGPT often contain factual errors.

When students use tools or other people to complete homework on their behalf, that is considered a form of academic dishonesty because the students are no longer learning the material themselves. The key point is that it is the students, and not the technology, that is to blame when students choose to have someone – or something – do their homework for them.

There is a difference between using technology to help students learn or to help them cheat. The same technology can be used for both purposes.

From DSC:
These couple of sentences…

In the age of post-plagiarism, humans use artificial intelligence apps to enhance and elevate creative outputs as a normal part of everyday life. We will soon be unable to detect where the human written text ends and where the robot writing begins, as the outputs of both become intertwined and indistinguishable.

…reminded me of what’s been happening within the filmmaking world for years (i.e., such as in Star Wars, Jurrasic Park, and many others). It’s often hard to tell what’s real and what’s been generated by a computer.

Did We Just Change Animation Forever? [corridordigital.com]

On 03/07/2023, in animation, Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, creativity, digital storytelling, experimentation, graphics, media/film, productivity / tips and tricks, skills, story, storytelling, by Daniel Christian

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT [Bayer]

On 03/06/2023, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, assessment, digital learning, education, education technology, emerging technologies, engagement / engaging students, experimentation, game-changing environment, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, more voice more choice more control, participation, personalized/customized learning, platforms, productivity / tips and tricks, story, storytelling, student-related, teachers, teaching & learning, tools, vendors, virtual tutoring, vision/possibilities, by Daniel Christian

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT — from quizlet.com by Lex Bayer

Excerpt:

Modeled on research demonstrating that the most effective form of learning is one-on-one tutoring1, Q-Chat offers students the experience of interacting with a personal AI tutor in an effective and conversational way. Whether they’re learning French vocabulary or Roman History, Q-Chat engages students with adaptive questions based on relevant study materials delivered through a fun chat experience. Pulling from Quizlet’s massive educational content library and using the question-based Socratic method to promote active learning, Q-Chat has the ability to test a student’s knowledge of educational content, ask in-depth questions to get at underlying concepts, test reading comprehension, help students learn a language and encourage students on healthy learning habits.

Are High Schools Preparing Students for the Future? [xqsuperschool.org]

On 03/06/2023, in career development, curriculum, education, education reform, entrepreneurship, experimentation, future, K-12 related, leadership, learning ecosystem, parents/guardians, pathways, vocational / trades, youth, by Daniel Christian

Are High Schools Preparing Students for the Future? — from xqsuperschool.org; with thanks to Marisa Sergnese out on LinkedIn for this resource

Excerpt:

High school is the last stop before students enter the real world of college, career, and adult life. It’s where adolescents are supposed to develop both academically and socially, so they’ll graduate prepared for all the future has to offer. But does it?

Along with students, educators, families, and employers across the country, we at XQ believe it’s time to rethink high school to ensure that it does. We invited our readers to weigh in and here is what they told us:

Out of more than 300 participants polled, the vast majority—93 percent—said they didn’t think high schools are fully preparing students to succeed in the future.

That’s a dramatically high percentage—and it lines up with current research. A study from the Hechinger Report reveals that the vast majority of the nation’s two- and four-year colleges report enrolling students who are unprepared for college-level work. Furthermore, the National Center for Education Statistics reports that up to 65 percent of community college students take at least one remedial course.

How ChatGPT is going to change the future of work and our approach to education — from livemint.com

From DSC:
I thought that the article made a good point when it asserted:

The pace of technological advancement is booming aggressively and conversations around ChatGPT snatching away jobs are becoming more and more frequent. The future of work is definitely going to change and that makes it clear that the approach toward education is also demanding a big shift.
…
A report from Dell suggests that 85% of jobs that will be around in 2030 do not exist yet. The fact becomes important as it showcases that the jobs are not going to vanish, they will just change and most of the jobs by 2030 will be new.

The Future of Human Agency — from pewresearch.org by Janna Anderson and Lee Rainie

Excerpt:

Thus the question: What is the future of human agency? Pew Research Center and Elon University’s Imagining the Internet Center asked experts to share their insights on this; 540 technology innovators, developers, business and policy leaders, researchers, academics and activists responded. Specifically, they were asked:

By 2035, will smart machines, bots and systems powered by artificial intelligence be designed to allow humans to easily be in control of most tech-aided decision-making that is relevant to their lives?

The results of this nonscientific canvassing:

- 56% of these experts agreed with the statement that by 2035 smart machines, bots and systems will not be designed to allow humans to easily be in control of most tech-aided decision-making.
- 44% said they agreed with the statement that by 2035 smart machines, bots and systems will be designed to allow humans to easily be in control of most tech-aided decision-making.

What are the things humans really want agency over? When will they be comfortable turning to AI to help them make decisions? And under what circumstances will they be willing to outsource decisions altogether to digital systems?

The next big threat to AI might already be lurking on the web — from zdnet.com by Danny Palmer; via Sam DeBrule
Artificial intelligence experts warn attacks against datasets used to train machine-learning tools are worryingly cheap and could have major consequences.

Excerpts:

Data poisoning occurs when attackers tamper with the training data used to create deep-learning models. This action means it’s possible to affect the decisions that the AI makes in a way that is hard to track.

By secretly altering the source information used to train machine-learning algorithms, data-poisoning attacks have the potential to be extremely powerful because the AI will be learning from incorrect data and could make ‘wrong’ decisions that have significant consequences.

Why AI Won’t Cause Unemployment — from pmarca.substack.com by Marc Andreessen

Excerpt:

Normally I would make the standard arguments against technologically-driven unemployment — see good summaries by Henry Hazlitt (chapter 7) and Frédéric Bastiat (his metaphor directly relevant to AI). And I will come back and make those arguments soon. But I don’t even think the standand arguments are needed, since another problem will block the progress of AI across most of the economy first.

Which is: AI is already illegal for most of the economy, and will be for virtually all of the economy.

How do I know that? Because technology is already illegal in most of the economy, and that is becoming steadily more true over time.

How do I know that? Because:

From DSC:
And for me, it boils down to an inconvenient truth: What’s the state of our hearts and minds?

AI, ChatGPT, Large Language Models (LLMs), and the like are tools. How we use such tools varies upon what’s going on in our hearts and minds. A fork can be used to eat food. It can also be used as a weapon. I don’t mean to be so blunt, but I can’t think of another way to say it right now.

Do we care about one another…really?
Has capitalism gone astray?
Have our hearts, our thinking, and/or our mindsets gone astray?
Do the products we create help or hurt others? It seems like too many times our perspective is, “We will sell whatever they will buy, regardless of its impact on others — as long as it makes us money and gives us the standard of living that we want.” Perhaps we could poll some former executives from Philip Morris on this topic.
Or we will develop this new technology because we can develop this new technology. Who gives a rat’s tail about the ramifications of it?

Using AI to help students with advising, registration, and career development [Christian] + several other items related to AI

On 03/02/2023, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, education technology, emerging technologies, entrepreneurship, experimentation, game-changing environment, generational differences, graphics, human-computer interaction (HCI), innovation, instructional design, IT in HE, languages and translation, Learning from the Living [Class] Room, learning spaces, machine-to-machine communications, Natural Language Processing (NLP), smart classrooms, smart/connected TV, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

DC: Perhaps we’ll get to a point where AI can help here. (Perhaps we’re already there…?) https://t.co/kRguHmXw42

— Daniel Christian (he/him/his) (@dchristian5) March 1, 2023

Speaking of AI-related items, also see:

OpenAI just released both Whisper and ChatGPT as APIs!

Among the 3 infinity stones to make voice assistants great again, we’ve got 2 on the cloud now.https://t.co/boAP0yOK9p https://t.co/rkWGu5wGbP

— Jim Fan (@DrJimFan) March 1, 2023

OpenAI debuts Whisper API for speech-to-text transcription and translation — from techcrunch.com by Kyle Wiggers

Excerpt:

To coincide with the rollout of the ChatGPT API, OpenAI today launched the Whisper API, a hosted version of the open source Whisper speech-to-text model that the company released in September.

Priced at $0.006 per minute, Whisper is an automatic speech recognition system that OpenAI claims enables “robust” transcription in multiple languages as well as translation from those languages into English. It takes files in a variety of formats, including M4A, MP3, MP4, MPEG, MPGA, WAV and WEBM.

Introducing ChatGPT and Whisper APIs — from openai.com
Developers can now integrate ChatGPT and Whisper models into their apps and products through our API.

Excerpt:

ChatGPT and Whisper models are now available on our API, giving developers access to cutting-edge language (not just chat!) and speech-to-text capabilities.

Love this! Assigning collaborative annotation can help students engage with texts and the writing process and help prevent ChatGPT misuse. We can also invite students to critically annotate ChatGPT outputs. #ChatGPTedu #AItextedu #AIED #socialannotation https://t.co/wh2OkrAvL7

— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) February 28, 2023

Everything you wanted to know about AI – but were afraid to ask — from theguardian.com by Dan Milmo and Alex Hern
From chatbots to deepfakes, here is the lowdown on the current state of artificial intelligence

Excerpt:

Barely a day goes by without some new story about AI, or artificial intelligence. The excitement about it is palpable – the possibilities, some say, are endless. Fears about it are spreading fast, too.

There can be much assumed knowledge and understanding about AI, which can be bewildering for people who have not followed every twist and turn of the debate.

So, the Guardian’s technology editors, Dan Milmo and Alex Hern, are going back to basics – answering the questions that millions of readers may have been too afraid to ask.

Nvidia CEO: “We’re going to accelerate AI by another million times” — from
In a recent earnings call, the boss of Nvidia Corporation, Jensen Huang, outlined his company’s achievements over the last 10 years and predicted what might be possible in the next decade.

Excerpt:

Fast forward to today, and CEO Jensen Huang is optimistic that the recent momentum in AI can be sustained into at least the next decade. During the company’s latest earnings call, he explained that Nvidia’s GPUs had boosted AI processing by a factor of one million in the last 10 years.

“Moore’s Law, in its best days, would have delivered 100x in a decade. By coming up with new processors, new systems, new interconnects, new frameworks and algorithms and working with data scientists, AI researchers on new models – across that entire span – we’ve made large language model processing a million times faster,” Huang said.

From DSC:
NVIDA is the inventor of the Graphics Processing Unit (GPU), which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more. They are a dominant supplier of artificial intelligence hardware and software.

AI starter tools for video content creation — from techthatmatters.beehiiv.com by Harsh Makadia

Excerpt:

One of the most exciting applications of AI is in the realm of content creation. What if I told you there are tools to generate videos in mins?

Try these tools today:

Supercreator AI: Create short form videos 10x faster
Lumen5: Automatically turn blog posts into videos
InVideo: Idea to YouTube video
Synthesia: Create videos from plain text in minutes
Narakeet: Get a professionally sounding audio or video in minutes
Movio: Create engaging video content

From DSC:
It seems to me that the idea of a Trim Tab Group goes waaaaay back. And from an excellent teacher — the LORD.

Mark 2:21 — from bible.com

“No one sews a patch of unshrunk cloth on an old garment. Otherwise, the new piece will pull away from the old, making the tear worse.”

So the idea of starting a small, different group that will grow into an amazingly large group of people may turn out to be the route that the invention of a new lifelong learning ecosystem will need to go through.

Reflections on “Why The Education Economy Is The Next Big Thing For The American Workforce” [Busteed]

On 02/22/2023, in business, career development, change, changing business models, collaboration, colleges, communities of practice, community colleges, corporate / business world, corporate universities / corporate training, dangers of the status quo, Daniel S. Christian, Design Thinking, education, education reform, Emotion, engagement / engaging students, entrepreneurship, experimentation, future, higher education, homeschooling/homeschoolers, ideas, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, legislatures / government / legal, lifelong learning, motivation, participation, passions, traditional / tradition, training / L&D, United States, universities, by Daniel Christian

Why The Education Economy Is The Next Big Thing For The American Workforce — from fastcompany.com by Brandon Busteed
How can integrating our educational system, our employers, and our job creators affect our modern economy?

Excerpts (emphasis DSC):

Though the economy and education have long been topics of top concern to Americans, we haven’t created strong linkages between the two.

The topics are more like two castles with a large moat between them. Yet there is nothing more important we can do as a country than to build the world’s most effective “educonomy,” which would seamlessly integrate our educational system, our employers, and our job creators.
…
All told, we collected the voices of close to 1 million Americans on this subject in the past year alone. And what we’ve learned is alarming:

Student engagement in school drops precipitously from 5th grade through 12th grade. About three quarters of elementary school kids (76%) are engaged in school, while only 44% of high school kids are engaged. The longer students stay in school, the less engaged they become. If we were doing this right, the trend would be going in the exact opposite direction.

From DSC:
I appreciated the imagery of the economy and education being like two castles with a large moat between them. I, like many others, also use the term siloed to describe our various learning ecosystems — PreK-12, higher education and vocational programming, and the corporate/business world (I realize I could also include those who work in other areas such as the government, but hopefully folks get the gist of what I’m trying to say).

But here’s the most disturbing part (albeit likely not a surprise to those working within K-12 environments):

About seven in 10 K-12 teachers are not engaged in their work (69%), and as a profession, teachers are dead last among all professions Gallup studied in saying their “opinions count” at work and their “supervisors create an open and trusting environment.” We also found that teacher engagement is the most important driver of student engagement. We’ll never improve student engagement until we boost teachers’ own workplace engagement first.

Our older daughter works in an elementary school where several of the teachers left prior to Christmas and more have announced that they are leaving after this academic year. For teachers to leave halfway through the year, you know something is majorly wrong!

I think that legislators are part of the problem, as they straight-jacket teachers, principals, and administrators with all kinds of standardized testing.

Standardized testing is like a wrecking ball on our educational systems -- impacting things like our students' and teachers' sense of joy, play, wonder, and motivation

I would think that such testing dictates the pace and the content and the overall agendas out there. I don’t recall taking nearly as many standardized tests as our youth do today. Looking back, each of my teachers was engaged and seemed to be happy and enthusiastic. I don’t think that’s the case any longer. Let’s ask the teachers — not the legislators — why that is the case and what they would recommend to change things (before it’s too late).

The Broken Higher Education System: Addressing Stakeholder Needs for a More Adaptive Model — from educationoneducation.substack.com

Excerpt:

Higher education Chief Academic Officers (CAOs) must shift their perspective and strive to increase customer satisfaction to ensure the highest quality of educational products. A recent survey by Higher Education found that only 25% of customers were satisfied with the results higher education provided, contradicting the satisfaction differences of 99% of CAOs. Clearly, a disconnect exists between what higher education leaders deliver and what students, employers, and the changing labor market requirements are. To bridge this gap, higher education must develop products focusing on stakeholder feedback in product design, job requirements, and practical skills development.

From DSC:
So in terms of Design Thinking for reinventing lifelong learning, it seems to me that we need much more collaboration between the existing siloes. That is, we need students, educators, administrators, employers, and other stakeholders at the (re)design table. More experiments and what I call TrimTab Groups are needed.

But I think that the culture of many institutions of traditional higher education will prevent this from occurring. Many in academia shy away from (to put it politely) the world of business (even though they themselves ARE a business). I know, it’s not fair nor does it make sense. But many faculty members lean towards much more noble purposes, while never seeing the mounting gorillas of debt that they’ve heaped upon their students’/graduates’ backs. Those in academia shouldn’t be so quick to see themselves as being so incredibly different from those working in the corporate/business world.

The following quote seems appropriate to place here:

Along the lines of other items in the higher education space, see:

New Data Shows Emergency Pandemic Aid Helped Keep 18 Million Students Enrolled — from forbes.com by Edward Conroy

Excerpt:

The Department of Education (ED) has released new data showing that 18 million students were helped by emergency aid for colleges and universities throughout the height of the COVID-19 pandemic, more than half of which was used to provide emergency grants to students. These funds were provided through three rounds of Higher Education Emergency Relief Funds (HEERF) In total, $76.2 billion was provided, with half of those funds going to support students directly. Unusually for funding in higher education, the money was not heavily means-tested, and was distributed very quickly.

The report indicates that the funds were used for several essential purposes, including student basic needs, keeping staff employed, and helping keep students enrolled. For example, students used funds to cover things like food and housing at a time when employment was drying up for many students, ensuring that the Pandemic did not plunge students who already had limited funds deeper into basic needs insecurity.

Flagships prosper, while regionals suffer — from chronicle.com by Lee Gardner
Competition is getting fierce, and the gap is widening

Excerpts:

Some key numbers are moving in the right direction at the University of Oregon. The flagship institution enrolled 5,338 freshmen in the fall of 2022, its largest entering class ever. First-year enrollment increased 16 percent over 2021, which was also a record year. Meanwhile, Western Oregon University, a regional public institution an hour’s drive north, just outside Salem, lost nearly 7 percent of its enrollment over the same period.
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In 28 states, flagships have seen enrollment rise between 2010 to 2021, while regionals have trended down, according to a Chronicle analysis of U.S. Education Department data. Across all states, enrollment at 78 public flagships rose 12.3 percent from 2010 to 2021, the most recent year for which data is available. Enrollment at 396 public regional universities slumped more than 4 percent during the same period.

A Chronicle analysis of federal data showed, for example, that in Michigan, a state being hit hard by demographic shifts and with no central higher-ed authority, the flagship University of Michigan at Ann Arbor saw undergraduate enrollment rise 16 percent between 2010 and 2020. Over the same period, it fell at 11 of the state’s 12 other four-year public campuses.

Learning Ecosystems

Working To Incorporate Legal Technology Into Your Practice Isn’t Just A Great Business Move – It’s Required [Williams]

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