In Memphis, A New School Graduates Its First Class — from samchaltain.substack.com by Sam Chaltain
And a new documentary film captures it all…

Crosstown High: Rethink High School

Crosstown High is a learner-centered public charter school that engages students in meaningful, project-based work and authentic relationships that will prepare them to be self-directed, lifelong learners. We are located inside Crosstown Concourse, a landmark adaptive reuse development project in the heart of Memphis.

Also relevant/see:

 

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

An Army of Temps: AFT Contingent Faculty Quality of Work/Life Report 2022 -- from aft.org

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.

 


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 — from stars.library.ucf.edu by Kevin Yee, Kirby Whittington, Erin Doggette, and Laurie Uttich

60+ ideas for using ChatGPT in your assignments today


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

  1. Type to it.
  2. 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.



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.


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.



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?
 
 

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


 

The Learning & Employment Records (LER) Ecosystem Map — with thanks to Melanie Booth on LinkedIn for this resource
Driving Opportunity and Equity Through Learning & Employment Records

The Learning & Employment Records (LER) Ecosystem Map

Imagine A World Where…

  • Everyone is empowered to access learning and earning opportunities based on what they know and can do, whether those skills and abilities are obtained through degrees, work experiences, or independent learning.
  • People can capture and communicate the skills and competencies they’ve acquired across their entire learning journey — from education, experience and service — with more ease, confidence, and clarity than a traditional resume.
  • Learners and earners control their information and can curate their skills to take advantage of every opportunity they are truly qualified to pursue, opening up pathways that help address systemic inequities.
  • Employers can tap into a wider talent pool and better match applicants to opportunities with verifiable credentials that represent skills, competencies, and achievements.

This is the world that we believe can be created by Learning and Employment Records (LERs), i.e. digital records of learning and work experiences that are linked to and controlled by learners and earners. An interoperable, well-governed LER ecosystem has the potential to transform the future of work so that it is more equitable, efficient, and effective for everyone involved— individuals, training and education providers, employers, and policymakers.


Also per Melanie Booth, see:

 

How Have Schools Improved Since the Pandemic? What Teachers Had to Say — from the74million.org by Cory Beets
Educator’s view: In technology, mental health, and nurturing and solutions-oriented environments, COVID provided lessons schools have taken to heart.

In doing research for my Ph.D. program, I sought out the perspectives of five teachers through informal conversations about how schools have improved since the pandemic. Four themes emerged.

From DSC:
To add another positive to the COVID-19 picture…

Just like COVID-19 did more for the advancement of online learning within our learning ecosystems than 20+ years of online learning development, COVID-19 may have done more to move our younger learners along the flexibility route that will serve them well in their futures. That is, with today’s exponential pace of change, we all need to be more agile and flexible — and be able to reinvent ourselves along the way. The type of learning that our K-12ers went through during COVID-19 may have been the most helpful thing yet for their future success and career development. They will need to pivot, adapt, and take right turn after right turn. 

 

The Misunderstanding About Education That Cost Mark Zuckerberg $100 Million — from danmeyer.substack.com by Dan Meyer
Personalized learning can feel isolating. Whole class learning can feel personal. This is hard to understand.

Excerpt (emphasis DSC):

Last week, Matt Barnum reported in Chalkbeat that the Chan Zuckerberg Initiative is laying off dozens of staff members and pivoting away from the personalized learning platform they have funded since 2015 with somewhere near $100M.

I have tried to illustrate as often as my subscribers will tolerate that students don’t particularly enjoy learning alone with laptops within social spaces like classrooms. That learning fails to answer their questions about their social identity. It contributes to their feelings of alienation and disbelonging. I find this case easy to make but hard to prove. Maybe we just haven’t done personalized learning right? Maybe Summit just needed to include generative AI chatbots in their platform?

What is far easier to prove, or rather to disprove, is the idea that “whole class instruction must feel impersonal to students,” that “whole class instruction must necessarily fail to meet the needs of individual students.”

From DSC:
I appreciate Dan’s comments here (as highlighted above) as they are helpful in my thoughts regarding the Learning from the Living [Class] Room vision. They seem to be echoed here by Jeppe Klitgaard Stricker when he says:

Personalized learning paths can be great, but they also entail a potential abolishment or unintended dissolution of learning communities and belonging.

Perhaps this powerful, global, Artificial Intelligence (AI)-backed, next-generation, lifelong learning platform of the future will be more focused on postsecondary students and experiences — but not so much for the K12 learning ecosystem.

But the school systems I’ve seen here in Michigan (USA) represent systems that address a majority of the class only. These one-size-fits-all systems don’t work for many students who need extra help and/or who are gifted students. The trains move fast. Good luck if you can’t keep up with the pace.

But if K-12’ers are involved in a future learning platform, the platform needs to address what Dan’s saying. It must address students questions about their social identity and not contribute to their feelings of alienation and disbelonging. It needs to support communities of practice and learning communities.

 

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?

  1. 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.
  2. We will need to generate ideas about how to address AI factors such as privacy, equity, bias, copyright, intellectual property, accessibility, and scalability.
  3. 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.

 

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.”

 

 

Mark Zuckerberg: First Interview in the Metaverse | Lex Fridman Podcast #398


Photo-realistic avatars show future of Metaverse communication — from inavateonthenet.net

Mark Zuckerberg, CEO, Meta, took part in the first-ever Metaverse interview using photo-realistic virtual avatars, demonstrating the Metaverse’s capability for virtual communication.

Zuckerberg appeared on the Lex Fridman podcast, using scans of both Fridman and Zuckerberg to create realistic avatars instead of using a live video feed. A computer model of the avatar’s faces and bodies are put into a Codec, using a headset to send an encoded version of the avatar.

The interview explored the future of AI in the metaverse, as well as the Quest 3 headset and the future of humanity.


 

180 Degree Turn: NYC District Goes From Banning ChatGPT to Exploring AI’s Potential — from edweek.org by Alyson Klein (behind paywall)

New York City Public Schools will launch an Artificial Intelligence Policy Lab to guide the nation’s largest school district’s approach to this rapidly evolving technology.


The Leader’s Blindspot: How to Prepare for the Real Future — from preview.mailerlite.io by the AIEducator
The Commonly Held Belief: AI Will Automate Only Boring, Repetitive Tasks First

The Days of Task-Based Views on AI Are Numbered
The winds of change are sweeping across the educational landscape (emphasis DSC):

  1. Multifaceted AI: AI technologies are not one-trick ponies; they are evolving into complex systems that can handle a variety of tasks.
  2. Rising Expectations: As technology becomes integral to our lives, the expectations for personalised, efficient education are soaring.
  3. Skill Transformation: Future job markets will demand a different skill set, one that is symbiotic with AI capabilities.

Teaching: How to help students better understand generative AI — from chronicle.com by Beth McMurtrie
Beth describes ways professors have used ChatGPT to bolster critical thinking in writing-intensive courses

Kevin McCullen, an associate professor of computer science at the State University of New York at Plattsburgh, teaches a freshman seminar about AI and robotics. As part of the course, students read Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots, by John Markoff. McCullen had the students work in groups to outline and summarize the first three chapters. Then he showed them what ChatGPT had produced in an outline.

“Their version and ChatGPT’s version seemed to be from two different books,” McCullen wrote. “ChatGPT’s version was essentially a ‘laundry list’ of events. Their version was narratives of what they found interesting. The students had focused on what the story was telling them, while ChatGPT focused on who did what in what year.” The chatbot also introduced false information, such as wrong chapter names.

The students, he wrote, found the writing “soulless.”


7 Questions with Dr. Cristi Ford, VP of Academic Affairs at D2L — from campustechnology.com by Rhea Kelly

In the Wild West of generative AI, educators and institutions are working out how best to use the technology for learning. How can institutions define AI guidelines that allow for experimentation while providing students with consistent guidance on appropriate use of AI tools?

To find out, we spoke with Dr. Cristi Ford, vice president of academic affairs at D2L. With more than two decades of educational experience in nonprofit, higher education, and K-12 institutions, Ford works with D2L’s institutional partners to elevate best practices in teaching, learning, and student support. Here, she shares her advice on setting and communicating AI policies that are consistent and future-ready.


AI Platform Built by Teachers, for Teachers, Class Companion Raises $4 Million to Tap Into the Power of Practice — from prweb.com

“If we want to use AI to improve education, we need more teachers at the table,” said Avery Pan, Class Companion co-founder and CEO. “Class Companion is designed by teachers, for teachers, to harness the most sophisticated AI and improve their classroom experience. Developing technologies specifically for teachers is imperative to supporting our next generation of students and education system.”


7 Questions on Generative AI in Learning Design — from campustechnology.com by Rhea Kelly
Open LMS Adoption and Education Specialist Michael Vaughn on the challenges and possibilities of using artificial intelligence to move teaching and learning forward.

The potential for artificial intelligence tools to speed up course design could be an attractive prospect for overworked faculty and spread-thin instructional designers. Generative AI can shine, for example, in tasks such as reworking assessment question sets, writing course outlines and learning objectives, and generating subtitles for audio and video clips. The key, says Michael Vaughn, adoption and education specialist at learning platform Open LMS, is treating AI like an intern who can be guided and molded along the way, and whose work is then vetted by a human expert.

We spoke with Vaughn about how best to utilize generative AI in learning design, ethical issues to consider, and how to formulate an institution-wide policy that can guide AI use today and in the future.


10 Ways Technology Leaders Can Step Up and Into the Generative AI Discussion in Higher Ed — from er.educause.edu by Lance Eaton and Stan Waddell

  1. Offer Short Primers on Generative AI
  2. Explain How to Get Started
  3. Suggest Best Practices for Engaging with Generative AI
  4. Give Recommendations for Different Groups
  5. Recommend Tools
  6. Explain the Closed vs. Open-Source Divide
  7. Avoid Pitfalls
  8. Conduct Workshops and Events
  9. Spot the Fake
  10. Provide Proper Guidance on the Limitations of AI Detectors


 

As AI Chatbots Rise, More Educators Look to Oral Exams — With High-Tech Twist — from edsurge.com by Jeffrey R. Young

To use Sherpa, an instructor first uploads the reading they’ve assigned, or they can have the student upload a paper they’ve written. Then the tool asks a series of questions about the text (either questions input by the instructor or generated by the AI) to test the student’s grasp of key concepts. The software gives the instructor the choice of whether they want the tool to record audio and video of the conversation, or just audio.

The tool then uses AI to transcribe the audio from each student’s recording and flags areas where the student answer seemed off point. Teachers can review the recording or transcript of the conversation and look at what Sherpa flagged as trouble to evaluate the student’s response.

 
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