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

 

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.

 

10 Charts That Capture How the World Is Changing (July 2023) — from digitalnative.substack.com by Rex Woodbury
From Higher Education to AI Art, Therapy to Venture Capital Funding

The charts this week again cover a broad range of themes—

  1. Confidence in Higher Education
  2. Confidence in Institutions
  3. AI Mania
  4. Is Art Created by AI Still Art?
  5. A Venture Capital Reset
  6. The Highs and Lows of Threads
  7. More Americans Are Living Alone
  8. Therapy Goes Mainstream
  9. Secondhand Explosion
  10. A Climate Reckoning
 

National ChatGPT Survey: Teachers Accepting AI Into Classrooms & Workflow — Even More Than Students — from the74million.org by Greg Toppo
42% of students use ChatGPT, up from 33% in a prior survey. Their teachers are way ahead of them, with now 63% saying they’ve used the tool on the job

Teachers … and parents … believe it’s legit
Teachers who use ChatGPT overwhelmingly give it good reviews. Fully 84% say it has positively impacted their classes, with about 6 in 10 (61%) predicting it will have “legitimate educational uses that we cannot ignore.”

New Book Aims to Reshape the Future of Learning (With Your Help) — from samchaltain.substack.com by Sam Chaltain

  • What circumstances would be required for the existing educational model to be deemed obsolete?
  • What stands in the way of those circumstances coming to pass?
  • And if you were to craft a tool that actually helped people create those circumstances, what would you want that sort of resource to be, say, and do?

Last week, in Istanbul, a select group of educators, architects, students and entrepreneurs met to wrestle with those questions, as part of a yearlong collaborative design project.

What small changes could have the biggest impact and help spark the larger revolution we seek?

Will the future even have occupations — and if so, what are they most likely to be? 

What is most essential to know and embody in the next 25 years?

The Great Unbundling — from educationnext.org by Joseph Olchefske and Steven Adamowski
Is the parents’ rights movement opening a new frontier in school choice?

The mindsets of parents are changing—rapidly—as they make decisions about the schooling of their children. Over the past few years, a convergence of two megatrends—pandemic desperation and parental-rights politics—has driven many families to reconsider the traditional school model and find ways of “unbundling” their children’s schooling into discrete elements that are controlled by the parent rather than the school.

While parent-led unbundling is not a new phenomenon, the current movement has expanded so quickly that it’s been dubbed “the Great Unbundling” of K–12 schooling.

The Great Unbundling is now influencing the education marketplace, as a broad set of nonschool vendors have responded to this unprecedented demand by pitching their education services directly to families: “microschools,” online courses, private tutoring, learning pods, and outdoor learning experiences.

Yes, AI could profoundly disrupt education. But maybe that’s not a bad thing — from theguardian.com by Rose Luckin; with thanks to Will Richardson and Homa Tavangar for this resource
Humans need to excel at things AI can’t do – and that means more creativity and critical thinking and less memorisation

Staying ahead of AI will mean radically rethinking what education is for, and what success means. Human intelligence is far more impressive than any AI system we see today. We possess a rich and diverse intelligence, much of which is unrecognised by our current education system.

How we can teach children so they survive AI – and cope with whatever comes next — from theguardian.com by George Monbiot
It’s not enough to build learning around a single societal shift. Students should be trained to handle a rapidly changing world

I don’t claim to have definitive answers. But I believe certain principles would help. One is that rigidity is lethal. Any aspect of an education system that locks pupils in to fixed patterns of thought and action will enhance their vulnerability to rapid and massive change. For instance, there could be no worse preparation for life than England’s Standard Assessment Tests, which dominate year 6 teaching. If the testimony of other parents I know is representative, SATs are a crushing experience for the majority of pupils, snuffing out enthusiasm, forcing them down a narrow, fenced track and demanding rigidity just as their minds are seeking to blossom and expand.

Education, to the greatest extent possible, should be joyful and delightful, not only because joy and delight are essential to our wellbeing, but also because we are more likely to withstand major change if we see acquiring new knowledge and skills as a fascinating challenge, not a louring threat.

BRINGING AI TO SCHOOL: TIPS FOR SCHOOL LEADERS— a mini ebook from ISTE

Artificial Intelligence is having a major impact on education. Whether you are excited or
concerned about AI, as a school leader you have a responsibility to ensure AI is approached
thoughtfully and appropriately in your school community and informs your vision for teaching and learning. This guide will help you quickly gain the background you need as a learning leader in an AI infused world.

Schools that have been successful in bringing AI into their schools in purposeful ways have some common strategies. The following five strategies are critical for a successful AI culture in your school.

The Potential Impact of AI Technology on Education. — from medium.com by Happiness Uduak

In this article, we’ll explore the potential impact of AI on education, and then take a look at how it could shape the human view of learning for good.

Teaching Through Asking Rather Than Telling — from edutopia by Jay Schauer
High school teachers can promote active learning by strategically replacing some direct instruction with questions that produce thoughtful conversations.

Does much of your teaching resemble the lectures you and 20 or 50 or 400 of your closest college friends received from a “sage on the stage”? Are you frustrated that most of your students won’t remember much from the fascinating information you just delivered to them for 15 or 30 or 55 minutes? If so, maybe it’s time to implement more ARTT—Ask, Rather Than Tell—into your teaching.

I started doing a lot of asking in order to help students make connections, establish common baseline understandings, and identify knowledge gaps or areas of misunderstanding, rather than telling them information. My lectures then evolved into more meaningful conversations.

Best Free Virtual Labs — from techlearning.com by Diana Restifo
These best virtual lab sites and apps are all free, highly engaging, and informative—and most don’t require registration

Many schools don’t have robust in-person laboratory facilities, instead relying primarily on dry textbooks to teach difficult STEM topics. But even schools with quality labs can benefit from these innovative and flexible online simulations.

The following top virtual lab sites and apps are all free, highly engaging, and informative—and most don’t require registration. Since most browsers no longer support Java or Flash, sites built exclusively with those outdated technologies have been excluded.

Gov. Gretchen Whitmer launching new education-focused state department — from detroitnews.com by Craig Mauger and Chad Livengood

Whitmer’s office said Wednesday the new Michigan Department of Lifelong Education, Achievement and Potential, or MiLEAP, will feature offices governing early childhood education, higher education and “education partnerships.”

“Establishing MiLEAP ensures all available resources, data and dollars are aligned around a single vision — supporting an education system focused on lifelong learning that can support the economy of the future and helping anyone make it in Michigan,” according to a “talking points” document obtained by The Detroit News on Wednesday morning.

How to Get Kids to Read for Fun — from nataliewexler.substack.com by Natalie Wexler
An overemphasis on analytical skills can make reading a joyless task.

Schools have been giving students isolated bits of text rather than letting them sink their teeth into engaging novels, and they’ve prioritized teaching analytical reading skills over allowing kids to immerse themselves in a good story.

Celebrating Student Interests to Create a Positive High School Culture — from edutopia.org by Nicole Rossi-Mumpower
Events that center students’ picks in art, music, and food can create powerful opportunities for them to increase their sense of belonging.

Modeled after the First Friday events that take place in many cities and towns (when community members gather to experience local culture), First Fridays at school offer students a chance to listen to music, view art, and sample cuisine.?The tradition has become a cornerstone of our school community and is replicable across school sites.

THE IMPORTANCE OF A MEANINGFUL SCHOOL CULTURE
Creating a positive school climate and culture is essential for student success. When students feel like they are an important part of the community, they’re more likely to be engaged in their learning and have a positive attitude toward school.

 

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.
.


Also relevant/see:


 

YouTube tests AI-generated quizzes on educational videos — from techcrunch.com by Lauren Forristal

YouTube tests AI-generated quizzes on educational videos

YouTube is experimenting with AI-generated quizzes on its mobile app for iOS and Android devices, which are designed to help viewers learn more about a subject featured in an educational video. The feature will also help the video-sharing platform get a better understanding of how well each video covers a certain topic.


Incorporating AI in Teaching: Practical Examples for Busy Instructors — from danielstanford.substack.com by Daniel Stanford; with thanks to Derek Bruff on LinkedIn for the resource

Since January 2023, I’ve talked with hundreds of instructors at dozens of institutions about how they might incorporate AI into their teaching. Through these conversations, I’ve noticed a few common issues:

  • Faculty and staff are overwhelmed and burned out. Even those on the cutting edge often feel they’re behind the curve.
  • It’s hard to know where to begin.
  • It can be difficult to find practical examples of AI use that are applicable across a variety of disciplines.

To help address these challenges, I’ve been working on a list of AI-infused learning activities that encourage experimentation in (relatively) small, manageable ways.


September 2023: The Secret Intelligent Beings on Campus — from stefanbauschard.substack.com by Stefan Bauschard
Many of your students this fall will be enhanced by artificial intelligence, even if they don’t look like actual cyborgs. Do you want all of them to be enhanced, or just the highest SES students?


How to report better on artificial intelligence — from cjr.org (Columbia Journalism Review) by Syash Kapoor, Hilke Schellmann, and Ari Sen

In the past few months we have been deluged with headlines about new AI tools and how much they are going to change society.

Some reporters have done amazing work holding the companies developing AI accountable, but many struggle to report on this new technology in a fair and accurate way.

We—an investigative reporter, a data journalist, and a computer scientist—have firsthand experience investigating AI. We’ve seen the tremendous potential these tools can have—but also their tremendous risks.

As their adoption grows, we believe that, soon enough, many reporters will encounter AI tools on their beat, so we wanted to put together a short guide to what we have learned.


AI

.
DSC:
Something I created via Adobe Firefly (Beta version)

 


The 5 reasons L&D is going to embrace ChatGPT — from chieflearningoffice.com by Josh Bersin

Does this mean it will do away with the L&D job? Not at all — these tools give you superhuman powers to find content faster, put it in front of employees in a more useful way and more creatively craft character simulations, assessments, learning in the flow of work and more.

And it’s about time. We really haven’t had a massive innovation in L&D since the early days of the learning experience platform market, so we may be entering the most exciting era in a long time.

Let me give you the five most significant use cases I see. And more will come.


AI and Tech with Scenarios: ID Links 7/11/23 — from christytuckerlearning.com by Christy Tucker

As I read online, I bookmark resources I find interesting and useful. I share these links periodically here on my blog. This post includes links on using tech with scenarios: AI, xAPI, and VR. I’ll also share some other AI tools and links on usability, resume tips for teachers, visual language, and a scenario sample.



It’s only a matter of time before A.I. chatbots are teaching in primary schools — from cnbc.com by Mikaela Cohen

Key Points

  • Microsoft co-founder Bill Gates saying generative AI chatbots can teach kids to read in 18 months rather than years.
  • Artificial intelligence is beginning to prove that it can accelerate the impact teachers have on students and help solve a stubborn teacher shortage.
  • Chatbots backed by large language models can help students, from primary education to certification programs, self-guide through voluminous materials and tailor their education to specific learning styles [preferences].

The Rise of AI: New Rules for Super T Professionals and Next Steps for EdLeaders — from gettingsmart.com by Tom Vander Ark

Key Points

  • The rise of artificial intelligence, especially generative AI, boosts productivity in content creation–text, code, images and increasingly video.
  • Here are six preliminary conclusions about the nature of work and learning.

The Future Of Education: Embracing AI For Student Success — from forbes.com by Dr. Michael Horowitz

Unfortunately, too often attention is focused on the problems of AI—that it allows students to cheat and can undermine the value of what teachers bring to the learning equation. This viewpoint ignores the immense possibilities that AI can bring to education and across every industry.

The fact is that students have already embraced this new technology, which is neither a new story nor a surprising one in education. Leaders should accept this and understand that people, not robots, must ultimately create the path forward. It is only by deploying resources, training and policies at every level of our institutions that we can begin to realize the vast potential of what AI can offer.


AI Tools in Education: Doing Less While Learning More — from campustechnology.com by Mary Grush
A Q&A with Mark Frydenberg


Why Students & Teachers Should Get Excited about ChatGPT — from ivypanda.com with thanks to Ruth Kinloch for this resource

Table of Contents for the article at IvyPanda.com entitled Why Students & Teachers Should Get Excited about ChatGPT

Excerpt re: Uses of ChatGPT for Teachers

  • Diverse assignments.
  • Individualized approach.
  • Interesting classes.
  • Debates.
  • Critical thinking.
  • Grammar and vocabulary.
  • Homework review.

SAIL: State of Research: AI & Education — from buttondown.email by George Siemens
Information re: current AI and Learning Labs, education updates, and technology


Why ethical AI requires a future-ready and inclusive education system — from weforum.org


A specter is haunting higher education — from aiandacademia.substack.com by Bryan Alexander
Fall semester after the generative AI revolution

In this post I’d like to explore that apocalyptic model. For reasons of space, I’ll leave off analyzing student cheating motivations or questioning the entire edifice of grade-based assessment. I’ll save potential solutions for another post.

Let’s dive into the practical aspects of teaching to see why Mollick and Bogost foresee such a dire semester ahead.


Items re: Code Interpreter

Code Interpreter continues OpenAI’s long tradition of giving terrible names to things, because it might be most useful for those who do not code at all. It essentially allows the most advanced AI available, GPT-4, to upload and download information, and to write and execute programs for you in a persistent workspace. That allows the AI to do all sorts of things it couldn’t do before, and be useful in ways that were impossible with ChatGPT.

.


Legal items


MISC items


 

The Homework Apocalypse — from oneusefulthing.org by Ethan Mollick
Fall is going to be very different this year. Educators need to be ready.

Excerpt:

Students will cheat with AI. But they also will begin to integrate AI into everything they do, raising new questions for educators. Students will want to understand why they are doing assignments that seem obsolete thanks to AI. They will want to use AI as a learning companion, a co-author, or a teammate. They will want to accomplish more than they did before, and also want answers about what AI means for their future learning paths. Schools will need to decide how to respond to this flood of questions.

The challenge of AI in education can feel abstract, so to understand a bit more about what is going to happen, I wanted to examine some common assignment types.

 

AI for Education Webinars — from youtube.com by Tom Barrett and others

AI for education -- a webinar series by Tom Barrett and company


Post-AI Assessment Design — from drphilippahardman.substack.com by Dr. Philippa Hardman
A simple, three-step guide on how to design assessments in a post-AI world

Excerpt:

Step 1: Write Inquiry-Based Objectives
Inquiry-based objectives focus not just on the acquisition of knowledge but also on the development of skills and behaviours, like critical thinking, problem-solving, collaboration and research skills.

They do this by requiring learners not just to recall or “describe back” concepts that are delivered via text, lecture or video. Instead, inquiry-based objectives require learners to construct their own understanding through the process of investigation, analysis and questioning.

Step 1 -- Write Inquiry-Based Objectives

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Massive Disruption Now: What AI Means for Students, Educators, Administrators and Accreditation Boards
— from stefanbauschard.substack.com by Stefan Bauschard; via Will Richardson on LinkedIn
The choices many colleges and universities make regarding AI over the next 9 months will determine if they survive. The same may be true for schools.

Excerpts:

Just for a minute, consider how education would change if the following were true

  • AIs “hallucinated” less than humans
  • AIs could write in our own voices
  • AIs could accurately do math
  • AIs understood the unique academic (and eventually developmental) needs of each student and adapt instruction to that student
  • AIs could teach anything any student wanted or need to know any time of day or night
  • AIs could do this at a fraction of the cost of a human teacher or professor

Fall 2026 is three years away. Do you have a three year plan? Perhaps you should scrap it and write a new one (or at least realize that your current one cannot survive). If you run an academic institution in 2026 the same way you ran it in 2022, you might as well run it like you would have in 1920.  If you run an academic institution in 2030 (or any year when AI surpasses human intelligence) the same way you ran it in 2022, you might as well run it like you would have in 1820.  AIs will become more intelligent than us, perhaps in 10-20 years (LeCun), though there could be unanticipated breakthroughs that lower the time frame to a few years or less (Benjio); it’s just a question of when, not “if.”


On one creative use of AI — from aiandacademia.substack.com by Bryan Alexander
A new practice with pedagogical possibilities

Excerpt:

Look at those material items again. The voiceover? Written by an AI and turned into audio by software. The images? Created by human prompts in Midjourney. The music is, I think, human created. And the idea came from a discussion between a human and an AI?

How might this play out in a college or university class?

Imagine assignments which require students to craft such a video. Start from film, media studies, or computer science classes. Students work through a process:


Generative Textbooks — from opencontent.org by David Wiley

Excerpt (emphasis DSC):

I continue to try to imagine ways generative AI can impact teaching and learning, including learning materials like textbooks. Earlier this week I started wondering – what if, in the future, educators didn’t write textbooks at all? What if, instead, we only wrote structured collections of highly crafted prompts? Instead of reading a static textbook in a linear fashion, the learner would use the prompts to interact with a large language model. These prompts could help learners ask for things like:

  • overviews and in-depth explanations of specific topics in a specific sequence,
  • examples that the learner finds personally relevant and interesting,
  • interactive practice – including open-ended exercises – with immediate, corrective feedback,
  • the structure of the relationships between ideas and concepts,
  • etc.

Also relevant/see:


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Generating The Future of Education with AI — from aixeducation.com

AI in Education -- An online-based conference taking place on August 5-6, 2023

Designed for K12 and Higher-Ed Educators & Administrators, this conference aims to provide a platform for educators, administrators, AI experts, students, parents, and EdTech leaders to discuss the impact of AI on education, address current challenges and potentials, share their perspectives and experiences, and explore innovative solutions. A special emphasis will be placed on including students’ voices in the conversation, highlighting their unique experiences and insights as the primary beneficiaries of these educational transformations.


How Teachers Are Using ChatGPT in Class — from edweek.org by Larry Ferlazzo

Excerpt:

The use of generative AI in K-12 settings is complex and still in its infancy. We need to consider how these tools can enhance student creativity, improve writing skills, and be transparent with students about how generative AI works so they can better understand its limitations. As with any new tech, our students will be exposed to it, and it is our task as educators to help them navigate this new territory as well-informed, curious explorers.


Japan emphasizes students’ comprehension of AI in new school guidelines — from japantimes.co.jp by Karin Kaneko; via The Rundown

Excerpt:

The education ministry has emphasized the need for students to understand artificial intelligence in new guidelines released Tuesday, setting out how generative AI can be integrated into schools and the precautions needed to address associated risks.

Students should comprehend the characteristics of AI, including its advantages and disadvantages, with the latter including personal information leakages and copyright infringement, before they use it, according to the guidelines. They explicitly state that passing off reports, essays or any other works produced by AI as one’s own is inappropriate.


AI’s Teachable Moment: How ChatGPT Is Transforming the Classroom — from cnet.com by Mark Serrels
Teachers and students are already harnessing the power of AI, with an eye toward the future.

Excerpt:

Thanks to the rapid development of artificial intelligence tools like Dall-E and ChatGPT, my brother-in-law has been wrestling with low-level anxiety: Is it a good idea to steer his son down this path when AI threatens to devalue the work of creatives? Will there be a job for someone with that skill set in 10 years? He’s unsure. But instead of burying his head in the sand, he’s doing what any tech-savvy parent would do: He’s teaching his son how to use AI.

In recent months the family has picked up subscriptions to AI services. Now, in addition to drawing and sculpting and making movies and video games, my nephew is creating the monsters of his dreams with Midjourney, a generative AI tool that uses language prompts to produce images.


The AI Dictionary for Educators — from blog.profjim.com

To bridge this knowledge gap, I decided to make a quick little dictionary of AI terms specifically tailored for educators worldwide. Initially created for my own benefit, I’ve reworked my own AI Dictionary for Educators and expanded it to help my fellow teachers embrace the advancements AI brings to education.


7 Strategies to Prepare Educators to Teach With AI — from edweek.org by Lauraine Langreo; NOTE: Behind paywall


 

Introducing Superalignment — from openai.com
We need scientific and technical breakthroughs to steer and control AI systems much smarter than us. To solve this problem within four years, we’re starting a new team, co-led by Ilya Sutskever and Jan Leike, and dedicating 20% of the compute we’ve secured to date to this effort. We’re looking for excellent ML researchers and engineers to join us.

Excerpts (emphasis DSC):

How do we ensure AI systems much smarter than humans follow human intent?

Currently, we don’t have a solution for steering or controlling a potentially superintelligent AI, and preventing it from going rogue. Our current techniques for aligning AI, such as reinforcement learning from human feedback, rely on humans’ ability to supervise AI. But humans won’t be able to reliably supervise AI systems much smarter than us, and so our current alignment techniques will not scale to superintelligence. We need new scientific and technical breakthroughs.

Our goal is to build a roughly human-level automated alignment researcher. We can then use vast amounts of compute to scale our efforts, and iteratively align superintelligence.

From DSC:
Hold up. We’ve been told for years that AI is at the toddler stage. But now assertions are being made that AI systems are smarter than humans — much smarter even. That said, then why is the goal of OpenAI to build a roughly human-level automated alignment researcher if humans aren’t that smart after all…? Which is it? I must be missing or misunderstanding something here…

OpenAI are jumping back on the alignment bandwagon with the brilliantly-named Superalignment Team. And you guessed it – they’re researching alignment of future superintelligent AIs. They reckon that AI can align other AI faster than humans can, and the plan is to build an AI that does just that. Head-spinning stuff…

Ben’s Bites

Plus…

Who else should be on this team? We certainly don’t want a team comprised of just technical people. How about including rabbis, pastors, priests, parents, teachers, professors, social workers, judges, legislators, and many others who can help represent other specialties, disciplines, and perspectives to protect society?


Authors file a lawsuit against OpenAI for unlawfully ‘ingesting’ their books — from theguardian.com by Ella Creamer; via Ben’s Bytes
Mona Awad and Paul Tremblay allege that their books, which are copyrighted, were ‘used to train’ ChatGPT because the chatbot generated ‘very accurate summaries’ of the works
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How AI is Transforming Workplace Architecture and Design — from workdesign.com by Christian Lehmkuhl


London Futurists | Generative AI drug discovery breakthrough, with Alex Zhavoronkov — from londonfuturists.buzzsprout.com

Alex Zhavoronkov is our first guest to make a repeat appearance, having first joined us in episode 12, last November. We are delighted to welcome him back, because he is doing some of the most important work on the planet, and he has some important news.

In 2014, Alex founded Insilico Medicine, a drug discovery company which uses artificial intelligence to identify novel targets and novel molecules for pharmaceutical companies. Insilico now has drugs designed with AI in human clinical trials, and it is one of a number of companies that are demonstrating that developing drugs with AI can cut the time and money involved in the process by as much as 90%.


Watch This Space: New Field of Spatial Finance Uses AI to Estimate Risk, Monitor Assets, Analyze Claims — from blogs.nvidia.com

When making financial decisions, it’s important to look at the big picture — say, one taken from a drone, satellite or AI-powered sensor.

The emerging field of spatial finance harnesses AI insights from remote sensors and aerial imagery to help banks, insurers, investment firms and businesses analyze risks and opportunities, enable new services and products, measure the environmental impact of their holdings, and assess damage after a crisis.


Secretive hardware startup Humane’s first product is the Ai Pin — from techcrunch.com by Kyle Wiggers; via The Rundown AI

Excerpt:

Humane, the startup launched by ex-Apple design and engineering duo Imran Chaudhri and Bethany Bongiorno, today revealed details about its first product: The Humane Ai Pin.

Humane’s product, as it turns out, is a wearable gadget with a projected display and AI-powered features. Chaudhri gave a live demo of the device onstage during a TED Talk in April, but a press release issued today provides a few additional details.

The Humane Ai Pin is a new type of standalone device with a software platform that harnesses the power of AI to enable innovative personal computing experiences.


He Spent $140 Billion on AI With Little to Show. Now He Is Trying Again. — from wsj.com by Eliot Brown; via Superhuman
Billionaire Masayoshi Son said he would make SoftBank ‘the investment company for the AI revolution,’ but he missed out on the most recent frenzy


“Stunning”—Midjourney update wows AI artists with camera-like feature — from arstechnica.com by Benj Edwards; via Sam DeBrule from Machine Learnings
Midjourney v5.2 features camera-like zoom control over framing, more realism.


What is AIaaS? Guide to Artificial Intelligence as a Service — from eweek.com by Shelby Hiter
Artificial intelligence as a service, AIaaS, is an outsourced AI service provided by cloud-based AI providers.

AIaaS Definition
When a company is interested in working with artificial intelligence but doesn’t have the in-house resources, budget, and/or expertise to build and manage its own AI technology, it’s time to invest in AIaaS.

Artificial intelligence as a service, or AIaaS, is an outsourced service model AI that cloud-based companies provide to other businesses, giving them access to different AI models, algorithms, and other resources directly through a cloud computing platform; this access is usually managed through an API or SDK connection.


The Rise of the AI Engineer — from latent.space


Boost ChatGPT with new plugins — from wondertools.substack.com by Jeremy Caplan
Wonder Tools | Six new ways to use AI
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A series re: AI from Jeff Foster out at ProvideoCoalition.com


The AI upskilling imperative to build a future-ready workforce — from businessinsider.com

Excerpts:

Skill development has always been crucial, but recent technological advancements have raised the stakes. We are currently in the midst of the fourth industrial revolution, where automation and breakthroughs in artificial intelligence (AI) are revolutionising the workplace. In this era of quick change and short half-life of skills, upskilling shouldn’t be an afterthought. Instead, reskilling and upskilling have to evolve into requirements for effective professional development.

To understand the significance of upskilling for your career trajectory, it is important to recognise the ever-evolving nature of technology and the rapid pace of digital transformation. Business Insider India has been exploring how businesses and thought leaders are driving innovation by educating their staff on the technologies and skills that will shape the future.

 

Law Firms Are Recruiting More AI Experts as Clients Demand ‘More for Less’ — from bloomberg.com by Irina Anghel
Data scientists, software engineers among roles being sought | Legal services seen as vulnerable to ChatGPT-type software

Excerpt (emphasis DSC):

Chatbots, data scientists, software engineers. As clients demand more for less, law firms are hiring growing numbers of staff who’ve studied technology not tort law to try and stand out from their rivals.

Law firms are advertising for experts in artificial intelligence “more than ever before,” says Chris Tart-Roberts, head of the legal technology practice at Macfarlanes, describing a trend he says began about six months ago.


Legal is the second industry with the highest potential for automation

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AI Will Threaten Law Firm Jobs, But Innovators Will Thrive — from law.com

Excerpts:

What You Need to Know

  • Law firm leaders and consultants are unsure of how AI use will ultimately impact the legal workforce.
  • Consults are advising law firms and attorneys alike to adapt to the use of generative AI, viewing this as an opportunity for attorneys to learn new skills and law firms to take a look at their business models.

Split between foreseeing job cuts and opportunities to introduce new skills and additional efficiencies into the office, firm leaders and consultants remain uncertain about the impact of artificial intelligence on the legal workforce.

However, one thing is certain: law firms and attorneys need to adapt and learn how to integrate this new technology in their business models, according to consultants. 


AI Lawyer — A personal AI lawyer at your fingertips — from ailawyer.pro

AI Lawyer

From DSC:
I hope that we will see a lot more of this kind of thing!
I’m counting on it.
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Revolutionize Your Legal Education with Law School AI — from law-school-ai.vercel.app
Your Ultimate Study Partner

Are you overwhelmed by countless cases, complex legal concepts, and endless readings? Law School AI is here to help. Our cutting-edge AI chatbot is designed to provide law students with an accessible, efficient, and engaging way to learn the law. Our chatbot simplifies complex legal topics, delivers personalized study guidance, and answers your questions in real-time – making your law school journey a whole lot easier.


Job title of the future: metaverse lawyer — from technologyreview.com by Amanda Smith
Madaline Zannes’s virtual offices come with breakout rooms, an art gallery… and a bar.
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Excerpt:

Lot #651 on Somnium Space belongs to Zannes Law, a Toronto-based law firm. In this seven-level metaverse office, principal lawyer Madaline Zannes conducts private consultations with clients, meets people wandering in with legal questions, hosts conferences, and gives guest lectures. Zannes says that her metaverse office allows for a more immersive, imaginative client experience. She hired a custom metaverse builder to create the space from scratch—with breakout rooms, presentation stages, offices to rent, an art gallery, and a rooftop bar.


A Literal Generative AI Discussion: How AI Could Reshape Law — from geeklawblog.com by Greg Lambert

Excerpt:

Greg spoke with an AI guest named Justis for this episode. Justis, powered by OpenAI’s GPT-4, was able to have a natural conversation with Greg and provide insightful perspectives on the use of generative AI in the legal industry, specifically in law firms.

In the first part of their discussion, Justis gave an overview of the legal industry’s interest in and uncertainty around adopting generative AI. While many law firm leaders recognize its potential, some are unsure of how it fits into legal work or worry about risks. Justis pointed to examples of firms exploring AI and said letting lawyers experiment with the tools could help identify use cases.


Robots aren’t representing us in court but here are 7 legal tech startups transforming the legal system — from tech.eu by Cate Lawrence
Legal tech startups are stepping up to the bar, using tech such as AI, teleoperations, and apps to bring justice to more people than ever before. This increases efficiency, reduces delays, and lowers costs, expanding legal access.


Putting Humans First: Solving Real-Life Problems With Legal Innovation — from abovethelaw.com by Olga Mack
Placing the end-user at the heart of the process allows innovators to identify pain points and create solutions that directly address the unique needs and challenges individuals and businesses face.

 

The economic potential of generative AI — from mckinsey.com; via Superhuman

The economic potential of generative AI -- from McKinsey & Co

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On giving AI eyes and ears — from oneusefulthing.org by Ethan Mollick
AI can listen and see, with bigger implications than we might realize.

Excerpt:

But even this is just the beginning, and new modes of using AI are appearing, which further increases their capabilities. I want to show you some examples of this emerging world, which I think will soon introduce a new wave of AI use cases, and accompanying disruption.

We need to recognize that these capabilities will continue to grow, and AI will be able to play a more active role in the real world by observing and listening. The implications are likely to be profound, and we should start thinking through both the huge benefits and major concerns today.

Ethan Mollick


5 Steps to Transforming Images into Videos Using AI Tools — from heatherbcooper.substack.com by Heather Cooper
A simple guide to layering AI tools for quick video creation

5 Steps to Transforming Images into Videos Using AI Tools

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‘Nobody wins in an academic-integrity arms race’ — from chonicle.com by Ian Wilhelm
How artificial intelligence is changing the way college thing about cheating

Even though generative AI is a new thing, it doesn’t change why students cheat. They’ve always cheated for the same reason: They don’t find the work meaningful, and they don’t think they can achieve it to their satisfaction. So we need to design assessments that students find meaning in. 

Tricia Bertram Gallant


Caught off guard by AI — from chonicle.com by Beth McMurtrie and Beckie Supiano
Professor scrambled to react to ChatGPT this spring — and started planning for the fall

Excerpt:

Is it cheating to use AI to brainstorm, or should that distinction be reserved for writing that you pretend is yours? Should AI be banned from the classroom, or is that irresponsible, given how quickly it is seeping into everyday life? Should a student caught cheating with AI be punished because they passed work off as their own, or given a second chance, especially if different professors have different rules and students aren’t always sure what use is appropriate?


GPT-4 Can Use Tools Now—That’s a Big Deal — from every.to by Dan Shipper; resource via Sam DeBrule
What “function calling” is, how it works, and what it means

Excerpt:

…OpenAI built tool use right into the GPT API with an update called function calling. It’s a little like a child’s ability to ask their parents to help them with a task that they know they can’t do on their own. Except in this case, instead of parents, GPT can call out to external code, databases, or other APIs when it needs to.

Each function in function calling represents a tool that a GPT model can use when necessary, and GPT gets to decide which ones it wants to use and when. This instantly upgrades GPT capabilities—not because it can now do every task perfectly—but because it now knows how to ask for what it wants and get it.
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How ChatGPT can help disrupt assessment overload — from timeshighereducation.com by David Carless
Advances in AI are not necessarily the enemy – in fact, they should prompt long overdue consideration of assessment types and frequency, says David Carless

Excerpt:

Reducing the assessment burden could support trust in students as individuals wanting to produce worthwhile, original work. Indeed, students can be co-opted as partners in designing their own assessment tasks, so they can produce something meaningful to them.

A strategic reduction in quantity of assessment would also facilitate a refocusing of assessment priorities on deep understanding more than just performance and carries potential to enhance feedback processes.

If we were to tackle assessment overload in these ways, it opens up various possibilities. Most significantly there is potential to revitalise feedback so that it becomes a core part of a learning cycle rather than an adjunct at its end. End-of-semester, product-oriented feedback, which comes after grades have already been awarded, fails to encourage the iterative loops and spirals typical of productive learning.
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The full 12 uses are here: https://edgeoflearning.com/your-new-teaching-superpower-ai-tools/


The AI Tools in Education Database — from kiwi-path-612.notion.site by EdTech Insiders

Excerpt (emphasis DSC):

Since AI in education has been moving at the speed of light, we built this AI Tools in Education database to keep track of the most recent AI tools in education and the changes that are happening every day. This database is intended to be a community resource for educators, researchers, students, and other edtech specialists looking to stay up to date. This is a living document, so be sure to come back for regular updates.

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Time for Class 2023 Study finds students are earlier adopters of generative AI tools than faculty, and majority (69%) of learners prefer hybrid, blended or online course formats — from globenewswire.com by Tyton Partners

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AI Could Prevent Hiring Bias — Unless It Makes It Worse — from nerdwallet.com by Anna Helhoski
Advocates say AI can eliminate human biases in hiring. Skeptics point out that AI tools are trained by … humans.

Excerpt:

These claims conjure up the rosiest of images: human resource departments and their robot buddies solving discrimination in workplace hiring. It seems plausible, in theory, that AI could root out unconscious bias, but a growing body of research shows the opposite may be more likely.

Companies’ use of AI didn’t come out of nowhere: For example, automated applicant tracking systems have been used in hiring for decades. That means if you’ve applied for a job, your resume and cover letter were likely scanned by an automated system. You probably heard from a chatbot at some point in the process. Your interview might have been automatically scheduled and later even assessed by AI.

From DSC:
Here was my reflection on this:


Also related to AI in hiring, see:

4 in 10 Companies Will Be Using AI Interviews by 2024 — from resumebuilder.com

In June, ResumeBuilder.com surveyed more than 1,000 employees who are involved in hiring processes at their workplaces to find out about their companies’ use of AI interviews.

The results:

  • 43% of companies already have or plan to adopt AI interviews by 2024
  • Two-thirds of this group believe AI interviews will increase hiring efficiency
  • 15% say that AI will be used to make decisions on candidates without any human input
  • More than half believe AI will eventually replace human hiring managers

Watch OpenAI CEO Sam Altman on the Future of AI — from bloomberg.com
Sam Altman, CEO & Co-Founder, OpenAI discusses the explosive rise of OpenAI and its products and what an AI-laced future can look like with Bloomberg’s Emily Chang at the Bloomberg Technology Summit.

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PowerSchool Announces Collaboration with Microsoft Azure OpenAI Service to Provide Personalized Learning at Scale in K-12 Education — from powerschool.com
Large-scale language models integrated within PowerSchool Performance Matters and PowerSchool LearningNav products will empower educators in delivering transformative personalized learning pathways

The implementation of generative AI within these products will dramatically improve educators’ ability to deliver personalized learning to students at scale by enabling the application of personalized assessments and learning pathways based on individual student needs and learning goals. K-12 educators will also benefit from access to OpenAI technology…

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FETC 2023 Virtual Roundtable: How AI Will Transform K-12 Education

AI could be the great equalizer!

Holly Clark

Example screenshots:


 

The Cambrian Explosion of AI Edtech Is Here — from edtechinsiders.substack.com by Alex Sarlin, Sarah Morin, and Ben Kornell

Excerpt:

Our AI in Edtech Takeaways

After chronicling 160+ AI tools (which is surely only a small fraction of the total), we’re seeing a few clear patterns among the tools that have come out so far- here are 10 categories that are jumping out!

  • Virtual Teaching Assistants:
  • Virtual Tutors:
  • AI-Powered Study Tools:  
  • Educational Content Creation:
  • Educational Search:
  • Auto-generated Learning Paths: 
  • AI-Powered Research:
  • Speak to Characters:  
  • Grammar and Writing: 
  • AI Cheating Detection:

 


Ready or not, AI is here — from the chronicle.com’s The Edge, by Goldie Blumenstyk

Excerpt:

“I don’t usually get worked up about announcements but I see promise in JFF’s plans for a new Center for Artificial Intelligence & the Future of Work, in no small part because the organization bridges higher ed, K-12 education, employers, and policymakers.”

Goldie Blumenstyk

Goldie’s article links to:

Jobs for the Future Launches New Center for Artificial Intelligence & the Future of Work — from archive.jff.org
Center launches as JFF releases preliminary survey data which finds a majority of workers feel they need new skills and training to prepare for AI’s future impact.

Excerpt:

BOSTON June 14, 2023 —Jobs for the Future (JFF), a national nonprofit that drives transformation in the U.S. education and workforce systems, today announced the launch of its new Center for Artificial Intelligence &the Future of Work. This center will play an integral role in JFF’s mission and newly announced 10-year North Star goal to help 75 million people facing systemic barriers to advancement work in quality jobs. As AI’s explosive growth reshapes every aspect of how we learn, work, and live, this new center will serve as a nexus of collaboration among stakeholders from every part of the education-to-career ecosystem to explore the most promising opportunities—and profound challenges—of AI’s potential to advance an accessible and equitable future of learning and work.

 


OpenAI Considers ‘App Store’ For ChatGPT — from searchenginejournal.com by; with thanks to Barsee at AI Valley for this resource
OpenAI explores launching an ‘app store’ for AI models, potentially challenging current partners and expanding customer reach.

Highlights:

  • OpenAI considers launching an ‘app store’ for customized AI chatbots.
  • This move could create competition with current partners and extend OpenAI’s customer reach.
  • Early interest from companies like Aquant and Khan Academy shows potential, but product development and market positioning challenges remain.

The Rise of AI: New Rules for Super T Professionals and Next Steps for EdLeaders — from gettingsmart.com by Tom Vander Ark

Key Points

  • The rise of artificial intelligence, especially generative AI, boosts productivity in content creation–text, code, images and increasingly video.
  • Here are six preliminary conclusions about the nature of work and learning.

Wonder Tools: AI to try — from wondertools.substack.com by Jeremy Caplan
9 playful little ways to explore AI

Excerpt:

  1. Create a personalized children’s story ? Schrodi
    Collaborate with AI on a free customized, illustrated story for someone special. Give your story’s hero a name, pick a genre (e.g. comedy, thriller), choose an illustration style (e.g. watercolor, 3d animation) and provide a prompt to shape a simple story. You can even suggest a moral. After a minute, download a full-color PDF to share. Or print it and read your new mini picture book aloud.
  2. Generate a quiz ? | Piggy
    Put in a link, a topic, or some text and you’ll get a quiz you can share, featuring multiple-choice or true-false questions. Example: try this quick entrepreneurship quiz Piggy generated for me.

 


3 Questions for Coursera About Generative AI in Education — from insidehighered.com by Joshua Kim
How this tech will change the learning experience, course creation and more.

Excerpt (emphasis DSC):

Q: How will generative AI impact teaching and learning in the near and long term?

Baker Stein: One-on-one tutoring at scale is finally being unlocked for learners around the world. This type of quality education is no longer only available to students with the means to hire a private tutor. I’m also particularly excited to see how educators make use of generative AI tools to create courses much faster and likely at a higher quality with increased personalization for each student or even by experimenting with new technologies like extended reality. Professors will be able to put their time toward high-impact activities like mentoring, researching and office hours instead of tedious course-creation tasks. This helps open up the capacity for educators to iterate on their courses faster to keep pace with industry and global changes that may impact their field of study.

Another important use case is how generative AI can serve as a great equalizer for students when it comes to writing, especially second language learners.

 
 
© 2024 | Daniel Christian