community colleges

“13 Nuggets of AI Wisdom for Higher Education Leaders” [Klitgaard Stricker] + other AI-related items for our learning ecosystems

On 11/10/2023, in 21st century, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, corporate / business world, corporate universities / corporate training, education, education reform, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, liberal arts, library / librarians, lifelong learning, Microsoft, platforms, teaching & learning, trends, universities, by Daniel Christian

A future-facing minister, a young inventor and a shared vision: An AI tutor for every student — from news.microsoft.com by Chris Welsch

The Ministry of Education and Pativada see what has become known as the U.A.E. AI Tutor as a way to provide students with 24/7 assistance as well as help level the playing field for those families who cannot afford a private tutor. At the same time, the AI Tutor would be an aid to teachers, they say. “We see it as a tool that will support our teachers,” says Aljughaiman. “This is a supplement to classroom learning.”

If everything goes according to plan, every student in the United Arab Emirates’ school system will have a personal AI tutor – that fits in their pockets.

It’s a story that involves an element of coincidence, a forward-looking education minister and a tech team led by a chief executive officer who still lives at home with his parents.

In February 2023, the U.A.E.’s education minister, His Excellency Dr. Ahmad Belhoul Al Falasi, announced that the ministry was embracing AI technology and pursuing the idea of an AI tutor to help Emirati students succeed. And he also announced that the speech he presented had been written by ChatGPT. “We should not demonize AI,” he said at the time.

Fostering deep learning in humans and amplifying our intelligence in an AI World — from stefanbauschard.substack.com by Stefan Bauschard
A free 288-page report on advancements in AI and related technology, their effects on education, and our practical support for AI-amplified human deep learning

Six weeks ago, Dr. Sabba Quidwai and I accidentally stumbled upon an idea to compare the deep learning revolution in computer science to the mostly lacking deep learning efforts in education (Mehta & Fine). I started writing, and as these things often go with me, I thought there were many other things that would be useful to think through and for educators to know, and we ended up with this 288-page report.

***

Here’s an abstract from that report:

This report looks at the growing gap between the attention paid to the development of intelligence in machines and humans. While computer scientists have made great strides in developing human intelligence capacities in machines using deep learning technologies, including the abilities of machines to learn on their own, a significant part of the education system has not kept up with developing the intelligence capabilities in people that will enable them to succeed in the 21st century. Instead of fully embracing pedagogical methods that place primary emphasis on promoting collaboration, critical thinking, communication, creativity, and self-learning through experiential, interdisciplinary approaches grounded in human deep learning and combined with current technologies, a substantial portion of the educational system continues to heavily rely on traditional instructional methods and goals. These methods and goals prioritize knowledge acquisition and organization, areas in which machines already perform substantially better than people.

Also from Stefan Bauschard, see:

Debating in the World of AI
Performative assessment, learning to collaborate with humans and machines, and developing special human qualities

13 Nuggets of AI Wisdom for Higher Education Leaders — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
Actionable AI Guidance for Higher Education Leaders

Incentivize faculty AI innovation with AI.

Invest in people first, then technology.

On teaching, learning, and assessment. AI has captured the attention of all institutional stakeholders. Capitalize to reimagine pedagogy and evaluation. Rethink lectures, examinations, and assignments to align with workforce needs. Consider incorporating Problem-Based Learning, building portfolios and proof of work, and conducting oral exams. And use AI to provide individualized support and assess real-world skills.

Actively engage students.

Some thoughts from George Siemens re: AI:

Sensemaking, AI, and Learning (SAIL), a regular look at how AI is impacting learning.

Our education system has a uni-dimensional focus: learning things. Of course, we say we care about developing the whole learner, but the metrics that matter (grade, transcripts) that underpin the education system are largely focused on teaching students things that have long been Google-able but are now increasingly doable by AI. Developments in AI matters in ways that calls into question large parts of what happens in our universities. This is not a statement that people don’t need to learn core concepts and skills. My point is that the fulcrum of learning has shifted. Knowing things will continue to matter less and less going forward as AI improves its capabilities. We’ll need to start intentionally developing broader and broader attributes of learners: metacognition, wellness, affect, social engagement, etc. Education will continue to shift toward human skills and away from primary assessment of knowledge gains disconnected from skills and practice and ways of being.

AI, the Next Chapter for College Librarians — from insidehighered.com by Lauren Coffey
Librarians have lived through the disruptions of fax machines, websites and Wikipedia, and now they are bracing to do it again as artificial intelligence tools go mainstream: “Maybe it’s our time to shine.”

A few months after ChatGPT launched last fall, faculty and students at Northwestern University had many questions about the building wave of new artificial intelligence tools. So they turned to a familiar source of help: the library.

“At the time it was seen as a research and citation problem, so that led them to us,” said Michelle Guittar, head of instruction and curriculum support at Northwestern University Libraries.

In response, Guittar, along with librarian Jeanette Moss, created a landing page in April, “Using AI Tools in Your Research.” At the time, the university itself had yet to put together a comprehensive resource page.

From Dr. Nick Jackson’s recent post on LinkedIn:

Last night the Digitech team of junior and senior teachers from Scotch College Adelaide showcased their 2023 experiments, innovation, successes and failures with technology in education. Accompanied by Student digital leaders, we saw the following:

AI used for languagelearning where avatars can help with accents
Motioncapture suits being used in mediastudies
AI used in assessment and automatic grading of work
AR used in designtechnology
VR used for immersive Junior school experiences
A teacher’s AI toolkit that has changed teaching practice and workflow
AR and the EyeJack app used by students to create dynamic art work
VR use in careers education in Senior school
How ethics around AI is taught to Junior school students from Year 1
Experiments with MyStudyWorks

Almost an Agent: What GPTs can do — from oneusefulthing.org by Ethan Mollick

What would a real AI agent look like? A simple agent that writes academic papers would, after being given a dataset and a field of study, read about how to compose a good paper, analyze the data, conduct a literature review, generate hypotheses, test them, and then write up the results, all without intervention. You put in a request, you get a Word document that contains a draft of an academic paper.

A process kind of like this one:

What I Learned From an Experiment to Apply Generative AI to My Data Course — from edsurge.com by Wendy Castillo

As an educator, I have a duty to remain informed about the latest developments in generative AI, not only to ensure learning is happening, but to stay on top of what tools exist, what benefits and limitations they have, and most importantly, how students might be using them.

However, it’s also important to acknowledge that the quality of work produced by students now requires higher expectations and potential adjustments to grading practices. The baseline is no longer zero, it is AI. And the upper limit of what humans can achieve with these new capabilities remains an unknown frontier.

Artificial Intelligence in Higher Education: Trick or Treat? — from tytonpartners.com by Kristen Fox and Catherine Shaw
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Two items from the Teaching newsletter out at the Chronicle of Higher Education

On 11/10/2023, in 21st century, adjunct faculty, change, changing business models, collaboration, colleges, communities of practice, community colleges, digital audio, digital learning, digital video, distance education, education technology, engagement / engaging students, experimentation, faculty, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, internet, IT in HE, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, liberal arts, multimedia, new business models, new media literacies, online learning, online media, online tutoring, platforms, teaching & learning, teaching online, technologies for your home, telecommunications, tools, United States, universities, vendors, videoconferencing, by Daniel Christian

What happens to teaching after Covid? — from chronicle.com by Beth McMurtrie

It’s an era many instructors would like to put behind them: black boxes on Zoom screens, muffled discussions behind masks, students struggling to stay engaged. But how much more challenging would teaching during the pandemic have been if colleges did not have experts on staff to help with the transition? On many campuses, teaching-center directors, instructional designers, educational technologists, and others worked alongside professors to explore learning-management systems, master video technology, and rethink what and how they teach.

A new book out this month, Higher Education Beyond Covid: New Teaching Paradigms and Promise, explores this period through the stories of campus teaching and learning centers. Their experiences reflect successes and failures, and what higher education could learn as it plans for the future.

Beth also mentioned/link to:

Centers for Teaching and Learning: The New Landscape in Higher Education by Mary C. Wright

How to hold difficult discussions online — from chronicle.com by Beckie Supiano

As usual, our readers were full of suggestions. Kathryn Schild, the lead instructional designer in faculty development and instructional support at the University of Alaska at Anchorage, shared a guide she’s compiled on holding asynchronous discussions, which includes a section on difficult topics.

In an email, Schild also pulled out a few ideas she thought were particularly relevant to Le’s question, including:

Set the ground rules as a class. One way to do this is to share your draft rules in a collaborative document and ask students to annotate it and add suggestions.
Plan to hold fewer difficult discussions than in a face-to-face class, and work on quality over quantity. This could include multiweek discussions, where you spiral through the same issue with fresh perspectives as the class learns new approaches.
Start with relationship-building interactions in the first few weeks, such as introductions, low-stakes group assignments, or peer feedback, etc.

Innovative growers: A view from the top [Banholzer, Doherty, Morris, & Schwaitzberg]

On 11/10/2023, in business, colleges, community colleges, corporate / business world, culture, higher education, innovation, United States, universities, vendors, vision/possibilities, by Daniel Christian

Innovative growers: A view from the top — from mckinsey.com by Matt Banholzer, Rebecca Doherty, Alex Morris, and Scott Schwaitzberg
McKinsey research shows that a focus on aspiration, activation, and execution can help companies out-innovate and outgrow peers.

To find out, we identified and analyzed about 650 of the largest public companies that achieved profitable growth relative to their industry between 2016 and 2021 while also excelling in the essential capabilities associated with innovation.3 Some of these companies outgrew their peers, others were more innovative than competitors, but 53 companies managed to do both. The 50-plus “innovative growers,” as we call them, are a diverse group, spread across four continents and ten industries. They include renowned brands with a trillion-dollar market capitalization as well as smaller companies that are just starting to make a name for themselves, some as young as three years old (see sidebar, “Where do innovative growers come from?”).

For all their diversity, these companies consistently excel in both growth and innovation—and they share a number of best practices that other companies can learn from.

Do innovative growers perform better than others?

In a word, yes.

From DSC:
I’m adding higher ed to the categories of this posting, as we need to establish more CULTURES of innovation out there. But this is not easy to do, as those of us who have tried to swim upstream know.

Also see:

The eight essentials of innovation — from mckinsey.com by

Growing Enrollment, Shrinking Future — from insidehighered.com by Liam Knox
Undergraduate enrollment rose for the first time since 2020, stoking hopes for a long-awaited recovery. But surprising areas of decline may dampen that optimism.

There is good news and bad news in the National Student Clearinghouse Research Center’s latest enrollment report.

First, the good news: undergraduate enrollment climbed by 2.1 percent this fall, its first total increase since 2020. Enrollment increases for Black, Latino and Asian students—by 2.2 percent, 4.4 percent and 4 percent, respectively—were especially notable after last year’s declines.

The bad news is that freshman enrollment declined by 3.6 percent, nearly undoing last year’s gain of 4.6 percent and leaving first-year enrollment less than a percentage point higher than it was in fall 2021, during the thick of the pandemic. Those declines were most pronounced for white students—and, perhaps most surprisingly, at four-year institutions with lower acceptance rates, reversing years of growth trends for the most selective colleges and universities.

An Army of Temps: AFT Contingent Faculty Quality of Work/Life Report 2022 — from aft.org (American Federation of Teachers) by Randi Weingarten, Fedrick C. Ingram, and Evelyn DeJesus

This recent survey adds to our understanding of how contingency plays out in the lives of millions of college and university faculty.

More than one-quarter of respondents earn less than $26,500 annually. The percentage of faculty respondents earning below the federal poverty line has remained unchanged through all three reports, which is not surprising with real wages falling behind inflation throughout the academy.2
Only 22.5 percent of respondents report having a contract that provides them with continuing employment, even assuming adequate enrollment and satisfactory job performance.
For 3 out of 4 respondents, employment is only guaranteed for a term or semester at a time.
Two-thirds of part-time respondents want to work full time but are offered only part-time work.
Twenty-two percent of those responding report having anxiety about accessing adequate food, with another 6 percent reporting reduced food intake due to lack of resources.
Only 45 percent of respondents have access to employer-provided health insurance, and nearly 19 percent rely on Medicare/Medicaid.
Nearly half of faculty members surveyed have put off getting needed healthcare, including mental health services, and 68 percent have forgone dental care.
Fewer than half of faculty surveyed have received the training they need to help students in crisis.
Only 45 percent of respondents believe that their college administration guarantees academic freedom in the classroom at a time when right-wing legislators are passing laws removing control of the curriculum from educators.

From DSC:
A college or university’s adjunct faculty members — if they are out there practicing what they are teaching about — are some of the most valuable people within higher education. They have real-life, current experience. They know which skills are necessary to thrive in their fields. They know their sections of the marketplace.

Some parts of rural America are changing fast. Can higher education keep up? — from usatoday.com by Nick Fouriezos (Open Campus)
More states have started directly tying academic programming to in-demand careers.

Across rural America, both income inequality and a lack of affordable housing are on the rise. Remote communities like the Tetons are facing not just an economic challenge, but also an educational one, as changing workforce needs meet a critical skills and training gap.
…
Earlier this month, Montana announced that 12 of its colleges would establish more than a dozen “micro-pathways” – stackable credential programs that can be completed in less than a year – to put people on a path to either earning an associate degree or immediately getting hired in industries such as health, construction, manufacturing and agriculture.

“Despite unemployment hitting record lows in Montana, rural communities continue to struggle economically, and many low-income families lack the time and resources to invest in full-time education and training,” the Montana University System announced in a statement with its partner on the project, the national nonprofit Education Design Lab.

Colleges Must Respond to America’s Skill-Based Economy — from edsurge.com by Mordecai I. Brownlee (Columnist)

To address our children’s hunger and our communities’ poverty, our educational system must be redesigned to remove the boundaries between high school, college and careers so that more Americans can train for and secure employment that will sustain them.

In 2021, Jobs for the Future outlined a pathway toward realizing such a revolution in The Big Blur report, which argues for a radical restructuring of education for grades 11 through 14 by erasing the arbitrary dividing line between high school and college. Ideas for accomplishing this include courses and work experiences for students designed for career preparation.

The New Arms Race in Higher Ed — from jeffselingo.com by Jeff Selingo

Bottom line: Given all the discussion about the value of a college education, if you’re looking for “amenities” on campuses these days be sure to find out how faculty are engaging students (both in person and with tools like AR/VR), whether they’re teaching students about using AI, and ways institutions are certifying learning with credentials that have currency in the job market.

In that same newsletter, also see Jeff’s section entitled, “Where Canada leads the U.S. in higher ed.”

College Uncovered — from hechingerreport.org

Thinking of going to college? Sending your kid? You may already be caught up in the needless complexity of the admissions process, with its never-ending stress and that “you’ll-be-lucky-to-get-in” attitude from colleges that nonetheless pretend to have your interests at heart.

What aren’t they telling you? A lot, as it turns out — beginning with how much they actually cost, how long it will take to finish, the likelihood that graduates get jobs and the myriad advantages that wealthy applicants enjoy. They don’t want you to know that transfer credits often aren’t accepted, or that they pay testing companies for the names of prospects to recruit and sketchy advice websites for the contact information of unwitting students. And they don’t reveal tricks such as how to get admitted even if you’re turned down as a freshman.

But we will. In College Uncovered, from The Hechinger Report and GBH News, two experienced higher education journalists pull back the ivy on how colleges and universities really work, providing information students and their parents need to have before they make one of the most expensive decisions in their lives: whether and where to go to college. We expose the problems, pitfalls and risks, with inside information you won’t hear on other podcasts, including disconcerting facts that they’ve sometimes pried from unwilling universities.
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Fall 2023 enrollment trends in 5 charts — from highereddive.com by Natalie Schwartz
We’re breaking down some of the biggest developments this term, based on preliminary figures from the National Student Clearinghouse Research Center.

Short-term credentials continued to prove popular among undergraduate and graduate students. In fall 2023, enrollment in undergraduate certificate programs shot up 9.9% compared to the year before, while graduate certificate enrollment rose 5.7%.

Degree programs didn’t fare as well. Master’s programs saw the smallest enrollment increase, of 0.2%, followed by bachelor’s degree programs, which saw headcounts rise 0.9%.

President Speaks: Colleges need an overhaul to meet the future head on — from highereddive.com by Beth Martin
Higher education faces an existential threat from forces like rapidly changing technology and generational shifts, one university leader argues.

Higher education must increasingly equip students with the skills and mindset to become lifelong learners — to learn how to learn, essentially — so that no matter what the future looks like, they will have the skills, mindset and wherewithal to learn whatever it is that they need and by whatever means. That spans from the commitment of a graduate program or something as quick as a microcredential.

Having survived the pandemic, university administrators, faculty, and staff no longer have their backs against the wall. Now is the time to take on these challenges and meet the future head on.

“Colleges are wasting valuable time. They can’t keep AI out of the classroom.” [Gulya] + other items re: AI in our Learning Ecosystems

On 10/30/2023, in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business side of he, change, colleges, community colleges, education technology, emerging technologies, expectations, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, higher education, innovation, instructional design, intelligent systems, law schools, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, personalized/customized learning, platforms, strategy, student-related, teachers, technology (general), tools, United States, universities, writing, by Daniel Christian

Teaching writing in the age of AI — from the Future of Learning (a Hechinger Report newsletter) by Javeria Salman

ChatGPT can produce a perfectly serviceable writing “product,” she said. But writing isn’t a product per se — it’s a tool for thinking, for organizing ideas, she said.

“ChatGPT and other text-based tools can’t think for us,” she said. “There’s still things to learn when it comes to writing because writing is a form of figuring out what you think.”

When students could contrast their own writing to ChatGPT’s more generic version, Levine said, they were able to “understand what their own voice is and what it does.”

Grammarly’s new generative AI feature learns your style — and applies it to any text — from techcrunch.com by Kyle Wiggers; via Tom Barrett

But what about text? Should — and if so, how should — writers be recognized and remunerated for AI-generated works that mimic their voices?

Those are questions that are likely to be raised by a feature in Grammarly, the cloud-based typing assistant, that’s scheduled to launch by the end of the year for subscribers to Grammarly’s business tier. Called “Personalized voice detection and application,” the feature automatically detects a person’s unique writing style and creates a “voice profile” that can rewrite any text in the person’s style.

Is AI Quietly Weaving the Fabric of a Global Classroom Renaissance? — from medium.com by Robert the Robot
In a world constantly buzzing with innovation, a silent revolution is unfolding within the sanctuaries of learning—our classrooms.

From bustling metropolises to serene hamlets, schools across the globe are greeting a new companion—Artificial Intelligence (AI). This companion promises to redefine the essence of education, making learning a journey tailored to each child’s unique abilities.

The advent of AI in education is akin to a gentle breeze, subtly transforming the academic landscape. Picture a classroom where each child, with their distinct capabilities and pace, embarks on a personalized learning path. AI morphs this vision into reality, crafting a personalized educational landscape that celebrates the unique potential harbored within every learner.

AI Books for Educators — from aiadvisoryboards.wordpress.com by Barbara Anna Zielonka

Books have always held a special place in my heart. As an avid reader and AI enthusiast, I have curated a list of books on artificial intelligence specifically tailored for educators. These books delve into the realms of AI, exploring its applications, ethical considerations, and its impact on education. Share your suggestions and let me know which books you would like to see included on this list.

SAIL: ELAI recordings, AI Safety, Near term AI/learning — by George Siemens

We held our fourth online Empowering Learners for the Age of AI conference last week. We sold out at 1500 people (a Whova and budget limit). The recordings/playlist from the conference can now be accessed here.

“60+ Ideas for ChatGPT Assignments” [Various], “Introducing Canva’s biggest education launch” + several other items re: AI

On 10/24/2023, in adjunct faculty, Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, education, education technology, emerging technologies, faculty, future, future of higher education, Google, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, Natural Language Processing (NLP), open courseware and systems, platforms, productivity / tips and tricks, society, teachers, teaching & learning, the downsides of how people use tech, tools, United States, universities, vendors, voice recognition / voice enabled interfaces, by Daniel Christian

60+ Ideas for ChatGPT Assignments — from stars.library.ucf.edu by Kevin Yee, Kirby Whittington, Erin Doggette, and Laurie Uttich

Artificial intelligence is disrupting higher education — from itweb.co.za by Rennie Naidoo; via GSV
Traditional contact universities need to adapt faster and find creative ways of exploring and exploiting AI, or lose their dominant position.

Higher education professionals have a responsibility to shape AI as a force for good.

Introducing Canva’s biggest education launch — from canva.com
We’re thrilled to unveil our biggest education product launch ever. Today, we’re introducing a whole new suite of products that turn Canva into the all-in-one classroom tool educators have been waiting for.

Also see Canva for Education.
Create and personalize lesson plans, infographics,
posters, video, and more. 100% free for
teachers and students at eligible schools.

ChatGPT and generative AI: 25 applications to support student engagement — from timeshighereducation.com by Seb Dianati and Suman Laudari
In the fourth part of their series looking at 100 ways to use ChatGPT in higher education, Seb Dianati and Suman Laudari share 25 prompts for the AI tool to boost student engagement

There are two ways to use ChatGPT — from theneurondaily.com

Type to it.
Talk to it (new).

…
Since then, we’ve looked to it for a variety of real-world business advice. For example, Prof Ethan Mollick posted a great guide using ChatGPT-4 with voice as a negotiation instructor.

In a similar fashion, you can consult ChatGPT with voice for feedback on:

Job interviews.
Team meetings.
Business presentations.

With a prompt, GPT-4 with voice does a pretty good job of acting as a negotiation simulator/instructor. It is not all the way there, but as someone who builds educational simulations, I can tell you this is already impressively far along towards an effective teaching tool.… pic.twitter.com/IphPHF95cL

— Ethan Mollick (@emollick) October 15, 2023

Via The Rundown: Google is using AI to analyze the company’s Maps data and suggest adjustments to traffic light timing — aiming to cut driver waits, stops, and emissions.

Project Green Light’s work to reduce urban emissions using AI — from blog.google
Project Green Light, a Google Research initiative, is helping cities improve traffic flow at intersections and reduce stop-and-go emissions.

Google Pixel’s face-altering photo tool sparks AI manipulation debate — from bbc.com by Darren Waters

The camera never lies. Except, of course, it does – and seemingly more often with each passing day.
In the age of the smartphone, digital edits on the fly to improve photos have become commonplace, from boosting colours to tweaking light levels.

Now, a new breed of smartphone tools powered by artificial intelligence (AI) are adding to the debate about what it means to photograph reality.

Google’s latest smartphones released last week, the Pixel 8 and Pixel 8 Pro, go a step further than devices from other companies. They are using AI to help alter people’s expressions in photographs.

Still using AI to help you mark a student’s work?

Mark a full class’s worth with one prompt.

Here’s the Whole Class Feedback Giant Prompt.

Comment & retweet & I’ll DM it to you.

Discover why thousands of teachers subscribe to the Sunday AI Educator ?https://t.co/ivpXYyWNzN

— Dan Fitzpatrick – The AI Educator (@theaieducatorX) October 22, 2023

From Digital Native to AI-Empowered: Learning in the Age of Artificial Intelligence — from campustechnology.com by Kim Round
The upcoming generation of learners will enter higher education empowered by AI. How can institutions best serve these learners and prepare them for the workplace of the future?

Dr. Chris Dede, of Harvard University and Co-PI of the National AI Institute for Adult Learning and Online Education, spoke about the differences between knowledge and wisdom in AI-human interactions in a keynote address at the 2022 Empowering Learners for the Age of AI conference. He drew a parallel between Star Trek: The Next Generation characters Data and Picard during complex problem-solving: While Data offers the knowledge and information, Captain Picard offers the wisdom and context from on a leadership mantle, and determines its relevance, timing, and application.

The Near-term Impact of Generative AI on Education, in One Sentence — from opencontent.org by David Wiley

This “decreasing obstacles” framing turned out to be helpful in thinking about generative AI. When the time came, my answer to the panel question, “how would you summarize the impact generative AI is going to have on education?” was this:

“Generative AI greatly reduces the degree to which access to expertise is an obstacle to education.”

We haven’t even started to unpack the implications of this notion yet, but hopefully just naming it will give the conversation focus, give people something to disagree with, and help the conversation progress more quickly.

How to Make an AI-Generated Film — from heatherbcooper.substack.com by Heather Cooper
Plus, Midjourney finally has a new upscale tool!

Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning — from blogs.nvidia.com by Angie Lee
AI agent uses LLMs to automatically generate reward algorithms to train robots to accomplish complex tasks.

From DSC:
I’m not excited about this, as I can’t help but wonder…how long before the militaries of the world introduce this into their warfare schemes and strategies?

The 93 Questions Schools Should Ask About AI — from edweek.org by Alyson Klein

The toolkit recommends schools consider:

Purpose: How can AI help achieve educational goals?
Compliance: How does AI fit with existing policies?
Knowledge: How can schools advance AI Literacy?
Balance: What are the benefits and risks of AI?
Integrity: How does AI fit into policies on things like cheating?
Agency: How can humans stay in the loop on AI?
Evaluation: How can schools regularly assess the impact of AI?

How might you alter your teaching if in 5 years you knew: [Stefan Bauschard]

On 10/24/2023, in adjunct faculty, change, colleges, community colleges, expectations, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, higher education, homeschooling/homeschoolers, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, liberal arts, online learning, pedagogy, student teaching/teacher education, student-related, teachers, teaching & learning, trends, United States, universities, by Daniel Christian

From DSC:
Interesting fodder for thought, for sure. Thanks Stefan.

Competency-Based Education (CBE) Learning Platform Architecture White Paper [Feldstein]

On 10/18/2023, in career development, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, communities of practice, community colleges, competency-based learning/education, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, personalized/customized learning, platforms, programming, tools, United States, vendors, vision/possibilities, by Daniel Christian

Competency-Based Education (CBE) Learning Platform Architecture White Paper — from eliterate.us by Michael Feldstein

The core principles
The four basic principles for an LMS or learning platform to support CBE are simple:

Separate skill tree:
Mastery learning:
Integration:
Evidence of achievement:

More colleges are resetting tuition. Does the strategy work? [McLean]

On 10/18/2023, in business side of he, changing business models, colleges, community colleges, cost of getting a degree, funding / grants, higher education, new business models, parents/guardians, student-related, surviving, by Daniel Christian

More colleges are resetting tuition. Does the strategy work? — from highereddive.com by Danielle McLean
Some institutions have seen short-term enrollment gains from slashing their sticker prices, but the strategy doesn’t guarantee a turnaround.

But as more colleges take the tuition reset plunge, questions around the effectiveness of strategy remain. Some colleges have seen immediate and long-term benefits from the practice, with surging enrollments and applications. However, for many colleges, that growth tapered off over the next few years. And the resets were not enough to turn around the financial fortunes of every college.

“For some schools, they did it and maybe they were too far gone,” said Lucie Lapovsky, an economist and higher education consultant who’s worked with colleges on tuition resets. “Most of our private colleges in this country are challenged right now. It’s not easy.”

Student loan repayments have resumed. Here’s 4 charts that break down American educational debt — from cnn.com by Alex Leeds

As student loan payments resume this month, more than 43 million Americans carrying that debt saw the end of more than three years of relief from monthly payments. But the financial landscape in which they resume payments has shifted.

Researchers are still working to understand the impact that the pause had on borrowers’ finances, said Jonathan Glater, a professor at Berkeley Law and co-founder of the Student Loan Law Initiative.

“People who are precarious at the outset…will also be financially more precarious when the payment obligations resume,” Glater said.

Since 2003, student debt has been the fastest-growing form of household debt, increasing more than 500% over the two decades, far more than increases in mortgage and auto debt that occurred over the same period, according to data from the New York Federal Reserve Bank.

2024 EDUCAUSE Top 10: Institutional Resilience

On 10/17/2023, in adjunct faculty, Bias | Diversity Equity & Inclusion (DE&I), business side of he, colleges, community colleges, faculty, higher education, United States, universities, by Daniel Christian

2024 EDUCAUSE Top 10: Institutional Resilience — from educause.edu
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Regional Colleges Saw Biggest Application Gains After Tuition Resets — from insidehighered.com by Kathryn Palmer
A new report compared post-reset application growth at nationally known and regional institutions.

Dozens of colleges and universities have dropped their sticker prices for tuition over the past decade, even as research has shown that tuition resets have a nominal influence on long-term enrollment increases. But a report released this week shows that regional colleges were more likely than nationally known institutions to see increases in applications after a reset.

“Students are more focused now on return on investment than they used to be,” said Devon McGee, a principal at Kennedy & Company, the higher education consulting firm that produced the report. Compared to bigger-name colleges, “A lot of these regional institutions are great liberal arts–type institutions, but they are less associated—fairly or unfairly—with preparing students for a job.”

Why hybrid learning needs hybrid faculties — from timeshighereducation.com by An Jacobs & Norma Rossi
Online courses should be integrated into everyday faculty functions to improve remote and in-person classes as well as the overall student experience

DC: Sounds like a team-based appt to me; something I’ve long advocated for. https://t.co/qkQhl98bQI

— Daniel Christian (he/him/his) (@dchristian5) October 13, 2023

Creating an ‘ecosystem’ to close the Black talent gap in technology — from mckinsey.com (emphasis below from DSC)

Chris Perkins, associate partner, McKinsey: Promoting diversity in tech is more nuanced than driving traditional diversity initiatives. This is primarily because of the specialized hard and soft skills required to enter tech-oriented professions and succeed throughout their careers. Our research shows us that various actors, such as nonprofits, for-profits, government agencies, and educational institutions are approaching the problem in small pockets. Could we help catalyze an ecosystem with wraparound support across sectors?

To design this, we have to look at the full pipeline and its “leakage” points, from getting talent trained and in the door all the way up to the C-suite. These gaps are caused by lack of awareness and support in early childhood education through college, and lack of sponsorship and mentorship in early- and mid- career positions.

Thinking with Colleagues: AI in Education [Grush & Wagner]

On 10/14/2023, in accessibility / UDL, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, Bias | Diversity Equity & Inclusion (DE&I), change, colleges, communities of practice, community colleges, copyright/ownership/NFTs, education technology, emerging technologies, engagement / engaging students, experimentation, face-to-face, faculty, future of higher education, game-changing environment, generational differences, Google, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, liberal arts, Microsoft, open courseware and systems, platforms, privacy, student-related, teaching & learning, United States, universities, vendors, by Daniel Christian

Thinking with Colleagues: AI in Education — from campustechnology.com by Mary Grush
A Q&A with Ellen Wagner

Wagner herself recently relied on the power of collegial conversations to probe the question: What’s on the minds of educators as they make ready for the growing influence of AI in higher education? CT asked her for some takeaways from the process.

We are in the very early days of seeing how AI is going to affect education. Some of us are going to need to stay focused on the basic research to test hypotheses. Others are going to dive into laboratory “sandboxes” to see if we can build some new applications and tools for ourselves. Still others will continue to scan newsletters like ProductHunt every day to see what kinds of things people are working on. It’s going to be hard to keep up, to filter out the noise on our own. That’s one reason why thinking with colleagues is so very important.

Mary and Ellen linked to “What Is Top of Mind for Higher Education Leaders about AI?” — from northcoasteduvisory.com. Below are some excerpts from those notes:

We are interested how K-12 education will change in terms of foundational learning. With in-class, active learning designs, will younger students do a lot more intensive building of foundational writing and critical thinking skills before they get to college?

The Human in the Loop: AI is built using math: think of applied statistics on steroids. Humans will be needed more than ever to manage, review and evaluate the validity and reliability of results. Curation will be essential.
We will need to generate ideas about how to address AI factors such as privacy, equity, bias, copyright, intellectual property, accessibility, and scalability.
Have other institutions experimented with AI detection and/or have held off on emerging tools related to this? We have just recently adjusted guidance and paused some tools related to this given the massive inaccuracies in detection (and related downstream issues in faculty-elevated conduct cases)

Even though we learn repeatedly that innovation has a lot to do with effective project management and a solid message that helps people understand what they can do to implement change, people really need innovation to be more exciting and visionary than that. This is the place where we all need to help each other stay the course of change.

Along these lines, also see:

What people ask me most. Also, some answers. — from oneusefulthing.org by Ethan Mollick
A FAQ of sorts

I have been talking to a lot of people about Generative AI, from teachers to business executives to artists to people actually building LLMs. In these conversations, a few key questions and themes keep coming up over and over again. Many of those questions are more informed by viral news articles about AI than about the real thing, so I thought I would try to answer a few of the most common, to the best of my ability.

I can’t blame people for asking because, for whatever reason, the companies actually building and releasing Large Language Models often seem allergic to providing any sort of documentation or tutorial besides technical notes. I was given much better documentation for the generic garden hose I bought on Amazon than for the immensely powerful AI tools being released by the world’s largest companies. So, it is no surprise that rumor has been the way that people learn about AI capabilities.

Currently, there are only really three AIs to consider: (1) OpenAI’s GPT-4 (which you can get access to with a Plus subscription or via Microsoft Bing in creative mode, for free), (2) Google’s Bard (free), or (3) Anthropic’s Claude 2 (free, but paid mode gets you faster access). As of today, GPT-4 is the clear leader, Claude 2 is second best (but can handle longer documents), and Google trails, but that will likely change very soon when Google updates its model, which is rumored to be happening in the near future.

Re: upcoming “feature” from Microsoft: Trust is already a fragile thing. Are we sure we want this?! [Christian]

On 10/11/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, cloud-based computing / apps / other cloud-related, colleges, communications, community colleges, computer science, content development, aggregation, repositories, corporate / business world, Daniel S. Christian, education technology, emerging technologies, faculty, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, languages and translation, learning ecosystem, Microsoft, productivity / tips and tricks, programming, society, the downsides of how people use tech, tools, trends, United States, universities, workplace, writing, by Daniel Christian

DC: Reminds me of an upcoming “feature” I just read about. Trust is already a fragile thing. Are we sure we want this?!

A person’s image & voice can already be mimicked. Now add their communications to the growing list as well?

“Just because we can…”https://t.co/D4t8QHmbeO

— Daniel Christian (he/him/his) (@dchristian5) October 11, 2023

Next month Microsoft Corp. will start making its artificial intelligence features for Office widely available to corporate customers. Soon after, that will include the ability for it to read your emails, learn your writing style and compose messages on your behalf.

From DSC:
As readers of this blog know, I’m generally pro-technology. I see most technologies as tools — which can be used for good or for ill. So I will post items both pro and con concerning AI.

But outsourcing email communications to AI isn’t on my wish list or to-do list.

The Public Is Giving Up on Higher Ed — from chronicle.com by Michael D. Smith
Our current system isn’t working for society. Digital alternatives can change that.

Excerpts:

I fear that we in the academy are willfully ignoring this problem. Bring up student-loan debt and you’ll hear that it’s the government’s fault. Bring up online learning and you’ll hear that it is — and always will be — inferior to in-person education. Bring up exclusionary admissions practices and you’ll hear something close to, “Well, the poor can attend community colleges.”

On one hand, our defensiveness is natural. Change is hard, and technological change that risks making traditional parts of our sector obsolete is even harder. “A professor must have an incentive to adopt new technology,” a tenured colleague recently told me regarding online learning. “Innovation adoption will occur one funeral at a time.”

But while our defense of the status quo is understandable, maybe we should ask whether it’s ethical, given what we know about the injustice inherent in our current system. I believe a happier future for all involved — faculty, administrators, and students — is within reach, but requires we stop reflexively protecting our deeply flawed system. How can we do that? We could start by embracing three fundamental principles.

1. Digitization will change higher education.
…
2. We should want to embrace this change.
…
3. We have a way to embrace this change.

I fear that we in the academy are willfully ignoring this problem. Bring up student-loan debt and you’ll hear that it’s the government’s fault. Bring up online learning and you’ll hear that it is — and always will be — inferior to in-person education. Bring up exclusionary admissions practices and you’ll hear something close to, “Well, the poor can attend community colleges.”

Learning Ecosystems

“13 Nuggets of AI Wisdom for Higher Education Leaders” [Klitgaard Stricker] + other AI-related items for our learning ecosystems

Two items from the Teaching newsletter out at the Chronicle of Higher Education

Innovative growers: A view from the top [Banholzer, Doherty, Morris, & Schwaitzberg]

“Growing Enrollment, Shrinking Future” [Knox] + other items re: what’s happening within higher education

Competency-Based Education (CBE) Learning Platform Architecture White Paper [Feldstein]

2024 EDUCAUSE Top 10: Institutional Resilience

“Regional Colleges Saw Biggest Application Gains After Tuition Resets” [Palmer] + “Why hybrid learning needs hybrid faculties” [Jacobs & Rossi]

Creating an ‘ecosystem’ to close the Black talent gap in technology [McKinsey]

Re: upcoming “feature” from Microsoft: Trust is already a fragile thing. Are we sure we want this?! [Christian]

The Public Is Giving Up on Higher Ed [Smith]

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