How Easy Is It/Will It Be to Use AI to Design a Course? — from wallyboston.com by Wally Boston

Excerpt:

Last week I received a text message from a friend to check out a March 29th Campus Technology article about French AI startup, Nolej. Nolej (pronounced “Knowledge”) has developed an OpenAI-based instructional content generator for educators called NolejAI.

Access to NolejAI is through a browser. Users can upload video, audio, text documents, or a website url. NolejAI will generate an interactive micro-learning package which is a standalone digital lesson including content transcript, summaries, a glossary of terms, flashcards, and quizzes. All the lesson materials generated is based upon the uploaded materials.


From DSC:
I wonder if this will turn out to be the case:

I am sure it’s only a matter of time before NolejAI or another product becomes capable of generating a standard three credit hour college course. Whether that is six months or two years, it’s likely sooner than we think.


Also relevant/see:

The Ultimate 100 AI Tools

The Ultimate 100 AI Tools -- as of 4-12-23


 

From DSC:
Before we get to Scott Belsky’s article, here’s an interesting/related item from Tobi Lutke:


Our World Shaken, Not Stirred: Synthetic entertainment, hybrid social experiences, syncing ourselves with apps, and more. — from implications.com by Scott Belsky
Things will get weird. And exciting.

Excerpts:

Recent advances in technology will stir shake the pot of culture and our day-to-day experiences. Examples? A new era of synthetic entertainment will emerge, online social dynamics will become “hybrid experiences” where AI personas are equal players, and we will sync ourselves with applications as opposed to using applications.

A new era of synthetic entertainment will emerge as the world’s video archives – as well as actors’ bodies and voices – will be used to train models. Expect sequels made without actor participation, a new era of ai-outfitted creative economy participants, a deluge of imaginative media that would have been cost prohibitive, and copyright wars and legislation.

Unauthorized sequels, spin-offs, some amazing stuff, and a legal dumpster fire: Now lets shift beyond Hollywood to the fast-growing long tail of prosumer-made entertainment. This is where entirely new genres of entertainment will emerge including the unauthorized sequels and spinoffs that I expect we will start seeing.


Also relevant/see:

Digital storytelling with generative AI: notes on the appearance of #AICinema — from bryanalexander.org by Bryan Alexander

Excerpt:

This is how I viewed a fascinating article about the so-called #AICinema movement.  Benj Edwards describes this nascent current and interviews one of its practitioners, Julie Wieland.  It’s a great example of people creating small stories using tech – in this case, generative AI, specifically the image creator Midjourney.

Bryan links to:

Artists astound with AI-generated film stills from a parallel universe — from arstechnica.com by Benj Edwards
A Q&A with “synthographer” Julie Wieland on the #aicinema movement.

An AI-generated image from an #aicinema still series called Vinyl Vengeance by Julie Wieland, created using Midjourney.


From DSC:
How will text-to-video impact the Learning and Development world? Teaching and learning? Those people communicating within communities of practice? Those creating presentations and/or offering webinars?

Hmmm…should be interesting!


 

The Future of Teaching is Here — from samchaltain.substack.com by Sam Chaltain

Excerpts (emphasis DSC):

It’s not sexy, but I feel like Sal Khan’s recent video introducing his Academy’s GPT-fueled AI tutor augurs the future of the teaching profession — and not just at Khan Academy.

The tutor is already fully capable of offering personalized feedback, hints and suggestions for just about any topic for which there are already clearly established answers — from solving math equations with parentheses to digesting John Locke’s political philosophy.

But now we’ve entered a new chapter — dare I say, a Technological Singularity (20 years early) — one in which Chat-GPT in particular, and the daily flood of AI tools more generally, has changed the nature of the teacher/student relationship even more irrevocably than before.

As a result, from this day forward, the job of a teacher REALLY needs to stop being about transmission.

So what should it start being instead?

In which case, the future of teaching is not about transmission, but it is about the other trans- words: transmedia exploration, transdisciplinary weaving, transcultural understanding, and, yes, personal and societal transformation.

 

How to Create Compelling Writing Assignments in a ChatGPT Age — from chronicle.com by James M. Lang
A recent book offers a road map to new kinds of assignments to inspire your students to write.

Excerpt:

A few days after I returned from the conference, I received a book in the mail that affirmed my newfound sense that 2023 has the potential to usher in an age of creative thinking about teaching and writing: Jessica Singer Early’s Next Generation Genres: Teaching Writing for Civic and Academic Engagement. Although her book doesn’t directly address ChatGPT, it offers exactly the kind of innovative ideas we need as we wrestle — or dance — with the implications of artificial intelligence for college teaching.

Clearly Jessica Singer Early has joined the leaning-into camp, seeing artificial intelligence as another invitation to reinvent ourselves in the classroom — just as she encourages readers to do in Next Generation Genres, and as this teacher plans to do in the fall.

 

Who Will Be the Academic Prompt Engineering Experts? — from wallyboston.com by Wally Boston

Excerpts:

As I mentioned in a post a month ago, prompt engineering is the term of art for prompting a generative AI tool like ChatGPT-4 to produce an answer to a question, analysis of a problem, or an essay about a particular topic.

It’s ironic that the “experts” providing prompt engineering courses are not academics. I happen to believe that there are academics mastering prompt engineering as I write this.

Last week, I wrote about generative AI tools that could be used to decrease the instructional design time required to build a college course. I also wrote an article about Villanova University professor Noah Barsky’s opinion piece suggesting that all MBA curriculums should be rewritten to teach their students how to utilize AI tools in their professions. Business schools with outdated curriculums will not prepare their graduates for businesses expecting them to be able to master state of the art AI tools.


Also relevant/see:

From DSC:
Read that again…

“In June, when students are finishing up their classes, they may be punished by their instructors for using AI as a writing tool. But in July, when they’re out on the job market, they can be punished by their employers or potential employers for not knowing how to use AI as a writing tool.”

 


Also relevant/see:

11 Tips to Take Your ChatGPT Prompts to the Next Level — from wired.com by David Nield
Sure, anyone can use OpenAI’s chatbot. But with smart engineering, you can get way more interesting results.

Excerpts:

You don’t have to do all the typing yourself when it comes to ChatGPT. Copy and paste is your friend, and there’s no problem with pasting in text from other sources.

Another way to improve the responses you get from ChatGPT is to give it some data to work with before you ask your question.

Your answers can be seriously improved if you give ChatGPT some ingredients to work with before asking for a response.

 
 

Why some college professors are adopting ChatGPT AI as quickly as students — from cnbc.com by Carolyn Chun

Key Points:

  • A recent analysis by researchers at NYU, Princeton and the Wharton School finds that many of the jobs that will be most “exposed” to generative AI such as ChatGPT are in the college teaching profession.
  • One of the first narratives to emerge from the sudden explosion in usage of ChatGPT is the risk of students cheating on writing assignments.
  • But use by college teachers is growing quickly too, and adoption by educators may be critical to making the case that AI will augment the jobs humans are doing rather than replace them.

Also relevant/see:


 

ANALYSIS: ‘Microcredentials’ poised to disrupt higher ed as degrees lose relevance to employers — from campusreform.org by Shelby Kearns; with thanks to Ray Schroeder on LinkedIn for this resource

Key points:

  • Survey respondents are demonstrating confidence in microcredentials–online training programs that take no more than six months to complete–as four-year degree programs often overlook job training.
  • ‘Grade inflation and efforts to help everyone … attend college make it harder for employers to differentiate among applicants.’
 

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

Excerpts:

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

In a Problem-based learning scenario, students work in small groups and, under the guidance of a facilitator or instructor, identify, research, and analyse a problem before proposing and evaluating potential solutions and reaching a resolution.

Here are five of the most interesting research projects published on problem-based learning in the last few months:

 

Teaching: What You Can Learn From Students About ChatGPT — from chronicle.com by Beth McMurtrie

Excerpts (emphasis DSC):

Like a lot of you, I have been wondering how students are reacting to the rapid launch of generative AI tools. And I wanted to point you to creative ways in which professors and teaching experts have helped involve them in research and policymaking.

At Kalamazoo College, Autumn Hostetter, a psychology professor, and six of her students surveyed faculty members and students to determine whether they could detect an AI-written essay, and what they thought of the ethics of using various AI tools in writing. You can read their research paper here.

Next, participants were asked about a range of scenarios, such as using Grammarly, using AI to make an outline for a paper, using AI to write a section of a paper, looking up a concept on Google and copying it directly into a paper, and using AI to write an entire paper. As expected, commonly used tools like Grammarly were considered the most ethical, while writing a paper entirely with AI was considered the least. But researchers found variation in how people approached the in-between scenarios. Perhaps most interesting: Students and faculty members shared very similar views with each scenario.

 


Also relevant/see:

This Was Written By a Human: A Real Educator’s Thoughts on Teaching in the Age of ChatGPT — from er.educause.edu educause.org by Jered Borup
The well-founded concerns surrounding ChatGPT shouldn’t distract us from considering how it might be useful.


 

When It Comes to College Closures, the Sky Is Never Going to Fall — from chronicle.com by Lee Gardner
Are you tired of reading nearly annual predictions of a looming wave of colleges shutting down? Not nearly as tired as one Chronicle reporter.

Excerpts:

I’ve learned a lot of things about how colleges work in the last 10 years, including that they die hard. They make new appeals to students and alumni. They scrimp. They raise their tuition-discount rate yet again. They limp along with budget deficits, sometimes for years. They make withdrawals from their endowments. They sell off assets. They look for partnerships, mergers, and buyers, although sometimes when it’s far too late.

I could be wrong, of course, and there may be a giant wave of college closures rearing somewhere on the horizon. But I can guarantee you that there are dozens of institutions in danger of quietly slipping toward a gradual end as you read this.

Also highly relevant here/see:

Contingent faculty jobs are still the standard, AAUP report finds — from highereddive.com by Laura Spitalniak

Dive Brief:

  • Colleges are continuing to increase their reliance on faculty positions that lack pathways to tenure, according to a new report from the American Association of University Professors. Over two-thirds of faculty members, 68%, held contingent positions in fall 2021, compared to about 47% in fall 1987.
  • Part-time work is also becoming more common. Almost half of faculty, 48%, taught part time in fall 2021, up from 33% in fall 1987. Less than 1% of all part-time faculty positions are tenured or tenure-track, according to AAUP.
  • Both of these factors are cutting into the number of available tenured positions, the report said. Fewer than 1 in 4 faculty members, 24%, held tenured full-time positions in fall 2021. That number fell from 39% in fall 1987.

Americans Are Losing Faith in College Education, WSJ-NORC Poll Finds — from wsj.com by Douglas Belkin (behind a firewall)
Confidence in value of a degree plummeted among women and senior citizens during pandemic

Excerpt:

A majority of Americans don’t think a college degree is worth the cost, according to a new Wall Street Journal-NORC poll, a new low in confidence in what has long been a hallmark of the American dream.

The survey, conducted with NORC at the University of Chicago, a nonpartisan research organization, found that 56% of Americans think earning a four-year degree is a bad bet compared with 42% who retain faith in the credential.

Skepticism is strongest among people ages 18-34, and people with college degrees are among those whose opinions have soured the most, portending a profound shift for higher education in the years ahead.
 

To help new students adapt, some colleges are eliminating grades — from npr.org by Jon Marcus

Excerpt (emphasis DSC):

Experiences like these are among the reasons behind a growing movement to stop assigning conventional A through F letter grades to first-year college students and, sometimes, upperclassmen.

Called “un-grading,” the idea is meant to ease the transition to higher education — especially for freshmen who are the first in their families to go to college or who weren’t well prepared for college-level work in high school and need more time to master it.

But advocates say the most important reason to adopt un-grading is that students have become so preoccupied with grades, they aren’t actually learning.

 

Higher Learning Commission's 2023 Trends

 
 

A Spotify model of personalised higher education — from timeshighereducation.com by Michael Rosemann and Martin Betts
With technology offering greater potential for a personalised approach to higher education, Michael Rosemann and Martin Betts look at what universities can learn from the ubiquitous music platform Spotify

Excerpts (emphasis DSC):

Selection, or the P(upil)-route as educationalist Dan Buckley calls it, means personalisation driven by the learner. This is the fastest-moving form of personalised learning. Not only do students benefit from true omnichannel education – choosing between face to face and online – they also independently navigate the internet’s resources and online databases in search of the knowledge that will help them to achieve their learning targets.

Automation,  or the A-route, is the new enabler of personalised learning. As with personalised medicine, finance or entertainment, education is starting to use digital technologies to unlock new models of tailored engagement. While for most universities, AI-driven, personalised education is not an option as the required capabilities are missing and significant investments would be necessary, there is a range of alternative forms of automated personalised learning. For this, we look to providers outside the sector for inspiration.

Here are Spotify-inspired ideas that universities ambitious enough to provide personalised learning could explore.

From DSC:
Rosemann & Betts use the term “omnichannel education” — I like that term. Very nice.

 
© 2024 | Daniel Christian