Excerpts from the Too Long Didn’t Read (TLDR) section from AIxEducation Day 1: My Takeaways — from stefanbauschard.substack.com by Stefan Bauschard (emphasis DSC)

* There was a lot of talk about learning bots. This talk included the benefits of 1:1 tutoring, access to education for those who don’t currently have it (developing world), the ability to do things for which we currently don’t have enough teachers and support staff (speech pathology), individualized instruction (it will be good at this soon), and stuff that it is already good at (24/7 availability, language tutoring, immediate feedback regarding argumentation and genre (not facts :), putting students on the right track, comprehensive feedback, more critical feedback).

* Students are united. The student organizers and those who spoke at the conference have concerns about future employment, want to learn to use generative AI, and express concern about being prepared for the “real world.” They also all want a say in how generative AI is used in the college classroom. Many professors spoke about the importance of having conversations with students and involving them in the creation of AI policies as well.

* I think it’s fair to say that all professors who spoke thought students were going to use generative AI regardless of whether or not it was permitted, though some hoped for honesty.

* No professor who spoke thought using a plagiarism detector was a good idea.

* Everyone thought that significant advancements in AI technology were inevitable.

* Almost everyone expressed being overwhelmed by the rate of change.


Stefan recommended the following resource:


 

InstructureCon 23 Conference Notes — from onedtech.beehiiv.com by Phil Hill

The company is increasingly emphasizing its portfolio of products built around the Canvas LMS, what they call the Instructure Unified Learning Platform. Perhaps the strongest change in message is the increased emphasis on the EdTech Collective, Instructure’s partner ecosystem. In fact, two of the three conference press releases were on the ecosystem – describing the 850 partners as “a larger partner community than any other LMS provider” and announcing a partnership with Khan Academy with its Khanmigo AI-based tutoring and teaching assistant tool (more on generative AI approach below).

Anthology Together 23 Conference Notes — from philhillaa.com by Glenda Morgan

The Anthology conference, held from July 17-19, marked the second gathering since Blackboard ceased operating as a standalone company and transformed into a brand for a product line.

What stood out was not just the number of added features but the extent to which these enhancements were driven by customer input. There has been a noticeable shift in how Anthology listens to clients, which had been a historical weakness for Blackboard. This positive change was emphasized not only by Anthology executives, but more importantly by customers themselves, even during unscripted side conversations.

D2L Fusion 23 Conference Notes — from onedtech.beehiiv.com

D2L is a slow burn company, and in the past eight years in a good way. The company started working on its move to the cloud, tied to its user experience redesign as Brightspace, in 2014. Five years later, the company’s LMS was essentially all cloud (with one or two client exceptions). More importantly, D2L Brightspace in this time period became fully competitive with Instructure Canvas, winning head-to-head competitions not just due to specialized features but more broadly in terms of general system usability and intuitive design. That multi-year transformation is significant, particularly for a founder-led company.

 

10 ways for students to get repetitions for practice — from ditchthattextbook.com by Matt Miller

If we want students to remember – to lock new information or ideas into long-term memory – getting meaningful repetitions still is key. And the science of learning still backs that up.

So … if we want students to get repetitions to make new learning permanent, how can they do it? Here are 10 ways to help students get repetitions for practice – and how classroom technology can help.


MUST-TRY FIRST WEEK OF SCHOOL ACTIVITY IDEAS – EASY EDTECH PODCAST 225 — from classtechtips.com by Dr. Monica Burns

In this episode, I share ten engaging activities that combine education, technology, and plenty of fun to make the first week of class super memorable. From digital scavenger hunts to virtual field trips, hear about a few of my favorite ways to create an interactive start to your school year.

Tips for First Week of School Activity Ideas

  • Establish routines in a fun way.
  • Provide opportunities for collaboration.
  • Introduce tech tools that will be used all year.

From DSC:
Dr. Burns has a great list of tools/tips/resources in this posting.


Teaching: What does it take to elevate good teaching? A lot. — from chronicle.com by Beth McMurtrie

Advice guides for teaching
As the fall approaches, we want to remind readers that The Chronicle offers a range of free advice guides designed to help improve your teaching. They’re written by experts for instructors who want to gather ideas on creating a syllabusteaching a good first day of classmaking your teaching more engagingimproving classroom discussion, making your teaching more inclusive and being a better online teacher.


Four directions for assessment redesign in the age of generative AI— from timeshighereducation.com by Julia Chen
The rise of generative AI has led universities to rethink how learning is quantified. Julia Chen offers four options for assessment redesign that can be applied across disciplines

Direction 1: From written description to multimodal explanation and application

Direction 2: From literature review alone to referencing lectures

Direction 3: From presentation of ideas to defence of views

Direction 4: From working alone to student-staff partnership


Absenteeism Mires Recovery from Pandemic Learning Losses — from educationnext.org by Phyllis W. Jordan
But simple measures by schools can encourage better student attendance

Excerpt (emphasis DSC):

With the latest national test results showing a dispiriting lack of progress in catching students up academically in the wake of the pandemic, one potential explanation stands out: stubbornly high rates of student absenteeism. Vast numbers of students haven’t returned to class regularly since schools reopened.

From DSC:
Shouldn’t that tell us something? 

 

 

From DSC:
Time will tell.

Per Jeff Maggioncalda, Coursera CEO: “This system-wide industry micro-credential program sets an innovative blueprint for the future of higher education.”

***

University Of Texas, Coursera Launch Historic Micro-credential Partnership — from forbes.com by Michael T. Nietzel

The University of Texas and Coursera, the online learning platform and a pioneer of Massive Open Online Courses (MOOCS), are launching a large-scale, industry-recognized micro-credential program. The collaboration was announced today in a blogpost by Coursera.

Through the new partnership, every student, faculty, and staff (and even alumni) across all nine universities in the University of Texas (UT) System will gain access to Courser’s Career Academy for no additional cost to them.

 

Navigating the Future of Learning in a Digitally-Disrupted World — from thinklearningstudio.org by Russell Cailey

Are we on the frontier of unveiling an unseen revolution in education? The hypothesis is that this quiet upheaval’s importance is far more significant than we imagine. As our world adjusts, restructures, and emerges from a year which launched an era of mass AI, so too does a new academic year dawn for many – with hope and enthusiasm about new roles, titles, or simply just a new mindset. Concealed from sight, however, I believe a significant transformative wave has started and will begin to reshape our education systems and push us into a new stage of innovative teaching practice whether we desire it or not. The risk and hope is that the quiet revolution remains outside the regulator’s and ministries’ purview, which could risk a dangerous fragmentation of education policy and practice, divorced from the actualities of the world ‘in and outside school’.

“This goal can be achieved through continued support for introducing more new areas of study, such as ‘foresight and futures’, in the high school classroom.”


Four directions for assessment redesign in the age of generative AI— from timeshighereducation.com by Julia Chen
The rise of generative AI has led universities to rethink how learning is quantified. Julia Chen offers four options for assessment redesign that can be applied across disciplines

Direction 1: From written description to multimodal explanation and application

Direction 2: From literature review alone to referencing lectures

Direction 3: From presentation of ideas to defence of views

Direction 4: From working alone to student-staff partnership




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

If you are just back from vacation and still not quite sure what to do about AI, let me assure you that you are not the only one. My advice for you today is this: fill your LinkedIn-feed and/or inbox with ideas, inspirational writing and commentary on AI. This will get you up to speed quickly and is a great way to stay informed on the newest movements you need to be aware of.

My personal recommendation for you is to check out these bright people who are all very active on LinkedIn and/or have a newsletter worth paying attention to. I have kept the list fairly short – only 15 people – in order to make it as easy as possible for you to begin exploring.


Universities say AI cheats can’t be beaten, moving away from attempts to block AI (Australia) — from abc.net.au by Jake Evans

Key points:

  • Universities have warned against banning AI technologies in academia
  • Several say AI cheating in tests will be too difficult to stop, and it is more practical to change assessment methods
  • The sector says the entire nature of teaching will have to change to ensure students continue to effectively learn

aieducator.tools


Navigating A World of Generative AI: Suggestions for Educators — from nextlevellab.gse.harvard.edu by Lydia Cao and Chris Dede

Understanding the nature of generative AI is crucial for educators to navigate the evolving landscape of teaching and learning. In a new report from the Next Level Lab, Lydia Cao and Chris Dede reflect on the role of generative AI in learning and how this pushes us to reconceptualize our visions of effective education. Though there are concerns of plagiarism and replacement of human jobs, Cao and Dede argue that a more productive way forward is for educators to focus on demystifying AI, emphasizing the learning process over the final product, honoring learner agency, orchestrating multiple sources of motivation, cultivating skills that AI cannot easily replicate, and fostering intelligence augmentation (IA) through building human-AI partnerships.

Navigating A World of Generative AI: Suggestions for Educators -- by Lydia Cao and Chris Dede


20 CHATGPT PROMPTS FOR ELA TEACHERS — from classtechtips.com by Dr. Monica Burns

Have you used chatbots to save time this school year? ChatGPT and generative artificial intelligence (AI) have changed the way I think about instructional planning. Today on the blog, I have a selection of ChatGPT prompts for ELA teachers.

You can use chatbots to tackle tedious tasks, gather ideas, and even support your work to meet the needs of every student. In my recent quick reference guide published by ISTE and ASCD, Using AI Chatbots to Enhance Planning and Instruction, I explore this topic. You can also find 50 more prompts for educators in this free ebook.


Professors Craft Courses on ChatGPT With ChatGPT — from insidehighered.com by Lauren Coffey
While some institutions are banning the use of the new AI tool, others are leaning into its use and offering courses dedicated solely to navigating the new technology.

Maynard, along with Jules White at Vanderbilt University, are among a small number of professors launching courses focused solely on teaching students across disciplines to better navigate AI and ChatGPT.

The offerings go beyond institutions flexing their innovation skills—the faculty behind these courses view them as imperative to ensure students are prepared for ever-changing workforce needs.


GPT-4 can already pass freshman year at Harvard | professors need to adapt to their students’ new reality — fast — from chronicle.com by Maya Bodnick (an undergraduate at Harvard University, studying government)

A. A. A-. B. B-. Pass.

That’s a solid report card for a freshman in college, a respectable 3.57 GPA. I recently finished my freshman year at Harvard, but those grades aren’t mine — they’re GPT-4’s.

Three weeks ago, I asked seven Harvard professors and teaching assistants to grade essays written by GPT-4 in response to a prompt assigned in their class. Most of these essays were major assignments which counted for about one-quarter to one-third of students’ grades in the class. (I’ve listed the professors or preceptors for all of these classes, but some of the essays were graded by TAs.)

Here are the prompts with links to the essays, the names of instructors, and the grades each essay received…

The impact that AI is having on liberal-arts homework is indicative of the AI threat to the career fields that liberal-arts majors tend to enter. So maybe what we should really be focused on isn’t, “How do we make liberal-arts homework better?” but rather, “What are jobs going to look like over the next 10–20 years, and how do we prepare students to succeed in that world?”



The great assessment rethink — from timeshighereducation.com by
How to measure learning and protect academic integrity in the age of ChatGPT

Items from Times Higher Education re: redesigning assessment

 

A cam/mic/light/teleprompter remote kit for non-tech-savvy guests, including Shure MV7 — from provideocoalition.com by Allan Tépper

Excerpt (emphasis DSC):

Inspired by my recent Review: Shure MV7 dynamic hybrid studio microphone – near, far and beyond, Beaker Films of Fairfield, Connecticut, US has developed and deployed a first batch of 10 kits to capture remote conversations from different locations worldwide. Beaker Films is frequently contracted to record remote interviews or testimonials from medical professionals. For this project, Beaker Films’ clients wanted consistent, high quality audio and video, but with 3 additional challenges: they preferred to have no visible microphone in the shot, they needed a teleprompter function and the whole kit needed to be as simple as possible for non-technical guests.




Speaking of A/V-related items, also see:

Seven worlds one planet at the BBC Earth Experience — from inavateonthenet.net by Paul Milligan

‘Holographic’ animal-free zoo opens in Australia — from inavateonthenet.net

XR Lab opens in UK college — from inavateonthenet.net

West Suffolk College in the UK has opened its Extended Reality Lab (XR Lab), the facilities comprise of four distinct areas: an Immersion Lab, a Collaboration Theatre, a Green Room, and a Conference Room. The project was designed by architects WindsorPatania for Eastern Colleges Group.

CJP to create virtual studio for Solent University — from inavateonthenet.net

Systems integrator CJP Broadcast Service Solutions, has won a tender to build a virtual production environment for Solent University in the UK.

The new facilities, converted from an existing studio space, will provide students on the film production courses with outstanding opportunities to develop their creative output.

 

Disconnect grows between law firm service and client expectation, survey finds — from legaltechnology.com by Caroline Hill

Over 90% of in-house counsel and three quarters of private practice lawyers said that the legal sector is slow to embrace data, technology and new delivery models – a significant increase on the 64% who felt the same way last year.

In terms of the disconnect, 96% of in-house counsel agreed with the statement that what law firms provide is out of kilter with what clients expect. The majority (78%) of private practice lawyers also largely agreed.


ndaOK Unleashes Next-Level Efficiency in Legal Tech with GPT-4 Powered NDA Review — from legaldive.com by Christina Pennell
AI-driven legal tool promises to reduce NDA review times by over 90%

AUSTIN, Tex. —  ndaOK, an innovator in AI-powered legal technology, today announces the launch of its next-generation non-disclosure agreement (NDA) review system. This advanced solution leverages OpenAI’s GPT-4 large multimodal model, a first among legal technology companies, offering unprecedented performance and efficiency in reviewing NDAs.

Capitalizing on the computational power and versatility of GPT-4, ndaOK accurately reviews and edits documents based on a user’s pre-determined requirements without the need for human assistance or input. This unique capability makes ndaOK faster and easier to deploy than any other AI-based contract review solution.


And here are two relevant postings that I missed a while back:

ANALYSIS: Meet the Law Schools Leading the Way in Innovation — from news.bloomberglaw.com by Francis Boustany

As law firms, businesses, and their clients adapt to the new realities of the legal and business worlds, law schools must prepare students in new ways—beyond traditional law school curricula and teaching methods—to give students an experience and education that better prepares them for their post-graduation careers.

Bloomberg Law launched its inaugural Law School Innovation Program as a means of promoting, acknowledging, and connecting the law schools that are innovating in the legal education space and providing their students with new ways of learning the law.

In this reimagined version of law school, students are taught to have ‘an entrepreneur’s mind’ — from fastcompany.com by Grace Buono
The University of Richmond program asks students not only to think like lawyers, but as entrepreneurs.

The demand for good lawyers is nothing new and, each year, law schools churn out graduates equipped with virtually the same skills as decades of law students before them. But one school is trying to change that.

The University of Richmond’s Legal Business Design Hub has students focus on the strategy, design, and operations of legal services in addition to their regular coursework, applying what the program calls “an entrepreneur’s mind” to their studies.

 

Student loan debt: Averages and other statistics in 2023 — from usatoday.com by Rebecca Safier and Ashley Harrison; via GSV

Excerpt:

The cost of college has more than doubled over the past four decades — and student loan borrowing has risen along with it. The student loan debt balance in the U.S. has increased by 66% over the past decade, and it now totals more than $1.77 trillion, according to the Federal Reserve.

Here’s a closer look at student loan debt statistics in the U.S. today, broken down by age, race, gender and other demographics.

In the 2020-2021 academic year, 54% of bachelor’s degree students who attended public and private four-year schools graduated with student loans, according to the College Board. These students left school with an average balance of $29,100 in education debt.

From DSC:
With significant monthly payments, many graduates HAVE TO HAVE good jobs that pay decent salaries. This is an undercurrent flowing through the higher ed learning ecosystem — with ramifications for what students/families/guardians expect from their investments.


‘Pracademics,’ professors who work outside the academy, win new respect — from washingtonpost.com by Jon Marcus
What’s in a word? A way to help impatient college students better connect to jobs.

Excerpts (emphasis DSC):

Among its approaches, the university focuses on having students learn from people like Taylor, who work or have worked in the fields about which they teach. Sheffield Hallam even has a catchy word to describe these practical academics: “pracademics.”

American universities have pracademics, too, of course. They’re among the more than 710,000 part-time and non-tenure-track faculty members who now make up some 61 percent of all faculty, according to the American Association of University Professors. Other adjectives for them include “adjunct,” “casual,” “contingent,” “external” and “occasional.”

From DSC:
For several years now I’ve thought that adjuncts are the best bet for our current traditional institutions of higher education to remain relevant and have healthier enrollments (i.e., sales) as well as offer better ROI’s that the students are looking for. Why? Because adjuncts bring current, real-world expertise to the classroom.

But the problem here is that many of these same institutions have treated adjunct faculty members poorly. Adjunct faculty members are often viewed as second-class citizens in many colleges and universities — even though they provide the lion’s share of the teaching, grading, and assessing of students’ work. They don’t get benefits, they are paid far less than tenured faculty members, and they often don’t know if they will actually be teaching a course or not. Chances are they don’t get to vote or have a say within faculty senates and such. They are often without power…without a voice.

I’m not sure many adjunct faculty members in the U.S. will stay with these institutions if something better comes around in the way of other alternatives.


Colgate Adds Trade School to Higher Education Employee Benefit — from colgate.edu by Daniel DeVries; via Brandon Busteed on LinkedIn

Excerpt (emphasis DSC):

One of Colgate University’s most important employee benefits has been expanded to support employee children as they seek trade or vocational education. 

Colgate, like many leading universities, offers financial support for employee children who attend an accredited college or university in pursuit of an undergraduate degree. Now, at the University, this benefit has been expanded to include employee children who enroll in trade or vocational schools.


Coursera’s degree and certificate offerings help drive Q2 revenue growth — from highereddive.com by Natalie Schwartz
The MOOC platform’s CEO touted the company’s strategy of allowing students to stack short-term credentials into longer offerings.

Dive Brief:

  • Coursera’s revenue increased to $153.7 million in the second quarter of 2023, up 23% compared to the same period last year, according to the company’s latest financial results.
  • The increases were partly driven by strong demand for the MOOC platform’s entry-level professional certificates and rising enrollment in its degree programs.
  • During a call with analysts Thursday, Coursera CEO Jeff Maggioncalda attributed some of that enrollment growth to new offerings, which include a cybersecurity analyst certificate from Microsoft and artificial intelligence degree programs from universities in India and Colombia.

Are ‘quick wins’ possible in assessment and feedback? Yes, and here’s how — from timeshighereducation.com by Beverley Hawkins, Eleanor Hodgson, Oli Young
It takes coordination, communication, and credibility to implement quick improvements in assessment and feedback, as a team from the University of Exeter explain 

One way to establish this is to form an “assessment and feedback expert group”. Bringing together assessment expertise from educators and academic development specialists, and student participants across the institution establishes a community of practice beyond those in formal leadership roles, who can share their experience and bring opportunities for improvement back into their local networks.

Focusing the group on “quick wins” can encourage discussion to address specific tips and tricks that educators can use without changing their assessment briefs and without significant preparation.

Also re: providing feedback see:

Five common misconceptions on writing feedback — from timeshighereducation.com by Rolf Norgaard , Stephanie Foster
Misapprehensions about responding to and grading writing can prevent educators using writing as an effective pedagogical tool. Rolf Norgaard and Stephanie Foster set out to dispel them

Writing is essential for developing higher-order skills such as critical thinking, enquiry and metacognition. Common misconceptions about responding to and grading writing can get in the way of using writing as an effective pedagogical tool. Here, we attempt to dispel these myths and provide recommendations for effective teaching.


How generative AI like ChatGPT is pushing assessment reform — from timeshighereducation.com by Amir Ghapanchi
AI has brought assessment and academic integrity in higher education to the fore. Here, Amir Ghapanchi offers seven ways to evaluate student learning that mitigate the impact of AI writers

Recommended assessment types to mitigate AI use
These assessment types can help universities to minimise the adverse effects of GAI:

  • Staged assignments
  • In-class presentations followed by questions
  • Group projects
  • Personal reflection essays
  • Class discussion
  • In-class handwritten exams
  • Performance-based assessments

Instructors Rush to Do ‘Assignment Makeovers’ to Respond to ChatGPT — from edsurge.com by Jeffrey R. Young

(Referring to rubrics) But, Bruff says, “the more transparent I am in the assignment description, the easier it is to paste that description into ChatGPT to have it do the work for you. There’s a deep irony there.” 

Bruff, the teaching consultant, says his advice to any teacher is not to have an “us against them mentality” with students. Instead, he suggests, instructors should admit that they are still figuring out strategies and boundaries for new AI tools as well, and should work with students to develop ground rules for how much or how little tools like ChatGPT can be used to complete homework.


Nearly 90% of staff report major barriers between traditional and emerging academic programs — from universitybusiness.com by Alcino Donadel
Only 53% of respondents recognized an existing strategic initiative at their institution with regard to PCE units; 17% indicated none existed, and 30% were not sure.

In the American Association of Collegiate Registrars and Admissions Officers’ (AACRAO) new survey on how institutions are mediating PCE units’ coexistence with the academic registrar, they found that once-siloed PCE units that are now converging with the academic registrar are causing internal tension and confusion.

“Because the two units have been organically grown for years to be separate institutions and to offer different things, it is difficult to grow together without knowing the goals of each or having a relationship,” one anonymized respondent said in the report.

 

Generative AI and the future of work in America — from mckinsey.com by Kweilin Ellingrud, Saurabh Sanghvi, Gurneet Singh Dandona, Anu Madgavkar, Michael Chui, Olivia White, and Paige Hasebe

At a glance

  • During the pandemic (2019–22), the US labor market saw 8.6 million occupational shifts, 50 percent more than in the previous three-year period.
  • By 2030, activities that account for up to 30 percent of hours currently worked across the US economy could be automated—a trend accelerated by generative AI.
  • Federal investment to address climate and infrastructure, as well as structural shifts, will also alter labor demand.
  • An additional 12 million occupational transitions may be needed by 2030.
  • The United States will need workforce development on a far larger scale as well as more expansive hiring approaches from employers.

Employers will need to hire for skills and competencies rather than credentials, recruit from overlooked populations (such as rural workers and people with disabilities), and deliver training that keeps pace with their evolving needs.


The AI-Powered, Totally Autonomous Future of War Is Here — from wired.com by Will Knight
Ships without crews. Self-directed drone swarms. How a US Navy task force is using off-the-shelf robotics and artificial intelligence to prepare for the next age of conflict.

From DSC:
Hhhhmmmmm…..not good. Is anyone surprised by this? No, I didn’t think so either. That’s why the United States and China are so heated up about semiconductor chips.


AI puts glitch in graduates’ employment plans — from hrdive.com by Ginger Christ
Recent grads are worried how AI will affect their career prospects, a new survey found.

Excerpt:

  • The proliferation of new technologies like generative artificial intelligence is making recent graduates uneasy, a new study released Thursday found. A third of the 1,000 people who graduated in the past year said they are second-guessing their career choice, while roughly half reported questioning their workforce preparedness and feeling threatened by AI, according to the 2023 Employability Report by Cengage Group, a global education technology company.

“The workplace has changed rapidly in the last few years, and now we are witnessing a new shift as AI begins to reshape worker productivity, job requirements, hiring habits and even entire industries,” Michael Hansen, Cengage Group CEO, said in a news release. 

Along these lines, also see:

AI Boom Creates Concerns for Recent Graduates — from insidehighered.com by  Lauren Coffey

More than half of recent graduates question whether they are properly prepared for the workforce in light of the rise of artificial intelligence, a survey finds.

There is also more of a preference for skills training credentials. Among employers, nearly 40 percent said skills training credentials are most important, while only 19 percent ranked a college degree as most important.

However, recent graduates did cite an issue with most higher education institutions’ ability to teach employability skills. In 2023, 43 percent of students said their degree program taught them the necessary skills for their first job, down 20 percentage points from 2022.


Instructure, Khan Academy Announce Major Partnership On AI Tutoring, Teaching
— from forbes.com by Derek Newton

The news is that Instructure, one of the few public education companies and the market leader in learning management with their signature product Canvas, struck a partnership with Khan Academy to create an AI-powered tutoring and teaching assistant tool – merging Khan’s innovative instructional content and Instructure’s significant reach, scale, and data insights. The partnership and related tools will be known as Khanmigo, according to the announcement.

On brand names alone, this is a big deal. On potential impact, it could be even bigger.


How To Use AI to Write Scenarios — from christytuckerlearning.com by Christy Tucker
How can you use AI to write scenarios for learning? Read this example with prompts and results using ChatGPT and Bard.

Excerpts:

So far, I have found these tools helpful in generating ideas, writing first drafts, and summarizing. They work better for general knowledge tasks than really specific topics unless I provide more details to them, which makes sense.

This post isn’t going to give you “5 magical prompts to instantly write scenarios for you” or anything like that. Instead, this is a “working out loud” post where I’ll share some prompts I have used.

Christy’s posting includes:

  1. “The Meeting from Hell”
  2. “The Backstabbing Coworker”
  3. “The Boss from Hell”
  4. “The Office Romance Gone Wrong”
  5. “The New Hire with Attitude”

Some potential tools for you to check out:



The Rise of the Talent Economy — from drphilippahardman.substack.com by Dr. Philippa Hardman
How Education & Training Will Dictate the Future & Impact of AI

“Talent, more than capital, will represent the critical factor of production.”

In short, the demand for AI skills requires a significant transformation in training and education models. To bridge the global skills gap, educational institutions, online learning providers, and employers must design and deliver training programs that cater to the rapidly evolving AI-driven labor market. 


How ChatGPT killed my discussion boards and prompted new prompts — from timeshighereducation.com by Sara Cline; per Robert Gibson on LinkedIn
Advice on learning and discussion prompts that require students to think beyond the remit of AI responses

Excerpts:

To combat this problem, we modified some of our prompts this summer to try to prevent students from using AI to avoid learning. I’m sharing some of our strategies in the hope that they help you out as you adapt your course to a world of generative AI.

  1. Use prompts that force a personal opinion.
  2. Have students include their source(s) as an attachment.
  3. Use current or local events.
  4. Have them take and caption a photo.
  5. Draw a diagram or chart.
  6. Build and explain a 3D model.
  7. Include timestamps from lecture videos.
  8. Scrap the discussion boards.

Dark web ChatGPT is here… — from therundown.ai

The Rundown: A new cybercrime generative AI tool called FraudGPT is being advertised on the Dark web and Telegram channels, offering offensive capabilities like crafting spear-phishing emails and creating undetectable malware.

Why it matters: Scammers can now look more realistic than ever before and at a larger scale. The sad truth is that the emergence of cybercrime AI tools like FraudGPT is just beginning.


From DSC:
If true and if it could help build and/or contribute to cloud-based learner profiles,  this could be huge.


Wayfair’s AI tool can redraw your living room and sell you furniture — from theverge.com by Wes Davis
The home decoration company’s new Decorify AI remodeling tool is clumsy but could be effective for visualization while remodeling.

A living room -- Wayfair is experimenting with using AI technologies to help people envision interior design moves

 

Camera fixed on a surgery being used to provide remote learning and feeds

Learning Experience — from inavateemea.com by Tim Kridel

“Some of the stuff we’re doing is creating templates and workflows that capture multiple feeds: not just the teacher, [but also] the white board, an overhead camera,” Risby says.

“The student can then go in and pick what they look at, so it’s more interactive. You might be watching it the first time to listen to the lecturer, but you might watch the second time to concentrate on the experiment. It makes the stream more valuable.”

 

Related topics from DSC:

  • Getting someone’s attention
  • Having the information sink in and mean something to someone
  • Inspiration
  • Goal setting
  • Motivation
  • Metacognition?
  • Getting psyched to try something new out!

From DSC: Engaged students do not just absorb content, they try to make meaning of what they study. Engaged learners ***care about*** the subject, ***feel motivated or excited*** to learn, and take ownership of their learning.

 

The invisible cost of resisting AI in higher education — from blogs.lse.ac.uk by Dr. Philippa Hardman

Excerpt (emphasis DSC):

The implications of this development are perhaps more significant than we realise. There has been much discussion in recent months about the risks associated with the rise of generative AI for higher education, with most of the discussion centring around the challenge that ChatGPT poses to academic integrity.

However, much less work has been done on exploring the negative – even existential – consequences that might stem from not embracing AI in higher education. Are these new principles enough to reverse the risk of irrelevance?

What if we reimagine “learning” in higher education as something more than the recall and restructuring of existing information? What if instead of lectures, essays and exams we shifted to a model of problem sets, projects and portfolios?

I am often asked what this could look like in practice. If we turn to tried and tested instructional strategies which optimise for learner motivation and mastery, it would look something like this…

Also relevant/see:

Do or Die? — from drphilippahardman.substack.com by Dr. Philippa Hardman
The invisible cost of resisting AI in higher education

Excerpt:

  • Embracing AI in the higher education sector prepares students for the increasingly technology-driven job market and promotes more active, participatory learning experiences which we know lead to better outcomes for both students and employers.
  • With the rising popularity of alternative education routes such as bootcamps and apprenticeships, it’s crucial for traditional higher education to engage positively with AI in order to maintain its competitiveness and relevance.

For example, a teacher crafting a lesson plan no longer has to repeat that they’re teaching 3rd grade science. A developer preferring efficient code in a language that’s not Python – they can say it once, and it’s understood. Grocery shopping for a big family becomes easier, with the model accounting for 6 servings in the grocery list.


This is the worst AI will ever be, so focused are educators on the present they can’t see the future — from donaldclarkplanb.blogspot.com by Donald Clark

Teaching technology
There is also the misconception around the word ‘generative’, the assumption that all it does is create blocks of predictable text. Wrong. May of its best uses in learning are its ability to summarise, outline, provide guidance, support and many other pedagogic features that can be built into the software. This works and will mean tutors, teachers, teaching support, not taking support, coaches and many other services will emerge that aid both teaching and learning. They are being developed in their hundreds as we speak.

This simple fact, that this is the first technology to ‘learn’ and learn fast, on scale, continuously, across a range of media and tasks, it what makes it extraordinary.


On holding back the strange AI tide — from oneusefulthing.org by Ethan Mollick
There is no way to stop the disruption. We need to channel it instead

And empowering workers is not going to be possible with a top-down solution alone. Instead, consider:

  • Radical incentives to ensure that workers are willing to share what they learn. If they are worried about being punished, they won’t share. If they are worried they won’t be rewarded, they won’t share. If they are worried that the AI tools that they develop might replace them, or their coworkers, they won’t share. Corporate leaders need to figure out a way to reassure and reward workers, something they are not used to doing.
  • Empowering user-to-user innovation. Build prompt libraries that help workers develop and share prompts with other people inside the organization. Open up tools broadly to workers to use (while still setting policies around proprietary information), and see what they come up with. Create slack time for workers to develop, and discuss, AI approaches.
  • Don’t rely on outside providers or your existing R&D groups to tell you the answer. We are in the very early days of a new technology. Nobody really knows anything about the best ways to use AI, and they certainly don’t know the best ways to use it in your company. Only by diving in, responsibly, can you hope to figure out the best use cases.

Teaching: Preparing yourself for AI in the classroom — from chronicle.com by Beth McMurtrie

Auburn’s modules cover the following questions:

  • What do I need to know about AI?
  • What are the ethical considerations in a higher-ed context?
  • How will AI tools affect the courses I teach?
  • How are students using AI tools, and how can I partner with my students?
  • How do I need to rethink exams, papers, and projects I assign?
  • How do I redesign my courses in the wake of AI disruption?
  • What other AI tools or capabilities are coming, and how can I design for them?
  • What conversations need to happen in my department or discipline, and what is my role?

Transforming Higher Education: AI as an Assistive Technology for Inclusive Learning — from fenews.co.uk by Gain Hoole

In recent years, I have witnessed the transformative power of technology in higher education. One particular innovation that has captured my attention is Artificial Intelligence (AI). AI holds tremendous potential as an assistive technology for students with reasonable adjustments in further education (FE) and higher education (HE).

In this comprehensive blog post, I will delve into the multifaceted aspects of AI as an assistive technology, exploring its benefits, considerations, challenges, and the future it holds for transforming higher education.

The integration of AI as an assistive technology can create an inclusive educational environment where all students, regardless of disabilities or specific learning needs, have equal access to educational resources. Real-time transcription services, text-to-speech capabilities, and personalized learning experiences empower students like me to engage with course content in various formats and at our own pace (Fenews, 2023). This not only removes barriers but also fosters a more inclusive and diverse academic community.


5 Ways to Ease Students Off the Lecture and Into Active Learning — from chronicle.com by Jermey T. Murphy
Lecturing endures in college classrooms in part because students prefer that style of teaching. How can we shift that preference?

What can we do? Here are five considerations I’ll be following this coming fall in response to that nagging “less discussion, more instruction” evaluation.

  • Lecture … sparingly. 
  • Routinely ask how the course is going.
  • Be transparent.
  • …and more

A three-part series re: courseware out at The Chronicle of Higher Education:

  1. Millions of Students a Year Are Required to Buy Courseware. Often, It Replaces the Professor. — from chronicle.com by Taylor Swaak
    .
  2. Courseware Can Be Integral to a Course. Why, Then, Are Students Footing the Bill for It? — from chronicle.com by Taylor Swaak
    The Homework Tax | For students already struggling to afford college, courseware can add to the burden
    Their argument is multifold: For one, they say, products like these — which often deliver key elements of a course that an instructor would typically be responsible for, like homework, assessments, and grading — should not be the student’s burden. At least one student advocate said colleges, rather, should cover or subsidize the cost, as they do with software like learning-management systems, if they’re allowing faculty free rein to adopt the products.

    And the fact that students’ access to these products expires — sometimes after just a semester — rubs salt in the wound, and risks further disadvantaging students.
    .
  3. Bots Are Grabbing Students’ Personal Data When They Complete Assignments — from chronicle.com by Taylor Swaak
    When students use courseware, how much personal data is it collecting?

Institutions aren’t “letting the wolf into the henhouse”; instead, “we’re letting the hens out into a forest of wolves,” said Billy Meinke, an open educational resources technologist with the Outreach College at the University of Hawaii-Manoa who’s done research on publisher misuse of student data.
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Here are five reading challenges to learn about learning this summer — from retrievalpractice.org by Pooja K. Agarwal, Ph.D.

Excerpt (emphasis DSC):

Here are five summer reading challenges to learn about the science of learning.

Important: make sure you remember what you learn! Engage yourself in retrieval practice and retrieve two things after each book, practice guide, and research article you read. Share your two things with our communities on Twitter and Facebook, make a list of what you’ve learned to boost your long-term learning,…


Assignment Makeovers in the AI Age: Essay Edition — from derekbruff.org Derek Bruff

Last week, I explored some ways an instructor might want to (or need to) redesign a reading response assignment for the fall, given the many AI text generation tools now available to students. This week, I want to continue that thread with another assignment makeover. Reading response assignments were just the warm up; now we’re tackling the essay assignment.


Here are ways professional education leaders can prepare students for the rise of AI — from highereddive.com by A. Benjamin Spencer
Institutions must adapt their curricula to incorporate artificial intelligence-related topics, the dean of William & Mary Law School argues.

First, they need to understand that the technological side of AI can no longer be simply left to the information technology experts. Regardless of the professional domain, understanding what AI is, how it works, how the underlying code and algorithms are designed, and what assumptions lie behind the computer code are important components to being able to use and consume the products of AI tools appropriately. 

 

Teaching Assistants that Actually Assist Instructors with Teaching — from opencontent.org by David Wiley

“…what if generative AI could provide every instructor with a genuine teaching assistant – a teaching assistant that actually assisted instructors with their teaching?”

Assignment Makeovers in the AI Age: Reading Response Edition — from derekbruff.org by Derek Bruff

For my cryptography course, Mollick’s first option would probably mean throwing out all my existing reading questions. My intent with these reading questions was noble, that is, to guide students to the big questions and debates in the field, but those are exactly the kinds of questions for which AI can write decent answers. Maybe the AI tools would fare worse in a more advanced course with very specialized readings, but in my intro to cryptography course, they can handle my existing reading questions with ease.

What about option two? I think one version of this would be to do away with the reading response assignment altogether.

4 Steps to Help You Plan for ChatGPT in Your Classroom — from chronicle.com by Flower Darby
Why you should understand how to teach with AI tools — even if you have no plans to actually use them.


Some items re: AI in other areas:

15 Generative AI Tools A billion+ people will be collectively using very soon. I use most of them every day — from stefanbauschard.substack.com by Stefan Bauschard
ChatGPT, Bing, Office Suite, Google Docs, Claude, Perplexity.ai, Plug-Ins, MidJourney, Pi, Runway, Bard, Bing, Synthesia, D-ID

The Future of AI in Video: a look forward — from provideocoalition.com by Iain Anderson

Actors say Hollywood studios want their AI replicas — for free, forever — from theverge.com by Andrew Webster; resource from Tom Barrett

Along these lines of Hollywood and AI, see this Tweet:

Claude 2: ChatGPT rival launches chatbot that can summarise a novel –from theguardian.com by Dan Milmo; resource from Tom Barrett
Anthropic releases chatbot able to process large blocks of text and make judgments on what it is producing

Generative AI imagines new protein structures — from news.mit.edu by Rachel Gordon; resource from Sunday Signal
MIT researchers develop “FrameDiff,” a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.

Google’s medical AI chatbot is already being tested in hospitals — from theverge.com by Wes Davis; resource via GSV

Ready to Sing Elvis Karaoke … as Elvis? The Weird Rise of AI Music — from rollingstone.com by Brian Hiatt; resource from Misha da Vinci
From voice-cloning wars to looming copyright disputes to a potential flood of nonhuman music on streaming, AI is already a musical battleground

 

Commentary from Rick Seltzer re: “Public confidence in higher ed plunges — again” — from chronicle.com

Excerpt:

Only 36 percent of Americans say they have a great deal or quite a lot of confidence in higher education, according to a survey Gallup conducted in June. That’s down from 48 percent who said the same in 2018 and 57 percent in 2015.

It’s also broadly consistent with a March Wall Street Journal-NORC survey that found just 42 percent of respondents thought college was worth the cost because it improves career prospects.

Confidence waned among all major groups. Sharpest declines were among Republicans, those without a college degree, women, and the oldest respondents.

Rick links to Zachary’s article:

Public Trust in Higher Ed Has Plummeted. Yes, Again. — from chronicle.com by Zachary Schermele
Americans’ confidence in higher ed is continuing to shrivel — a troubling sign that could foreshadow further erosion of colleges’ enrollment, funding, and stature in the coming years.
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Also relevant/see:


 
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