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? 

 

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.

 

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.

 

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.
.


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.
.


Also relevant/see:


 

Neurodivergent Students Need Flexibility, Not Our Frustration — from chronicle.com by Katie Rose Guest Pryal
In negotiating accommodations, we need more communication and less suspicion.

Excerpt:

A quick note: When I refer to neurodivergent (ND) students, I mean people whose mental or neurological function is different from what is considered typical. This includes not only students with ADHD or autism, but also those with anxiety, depression, or other mental-health disorders. Crucially, I’m also writing here about the many college students who are struggling with their mental health for whatever reason, and need our understanding and care to prevent them from doing poorly, dropping out, or facing something much, much worse.

Two key messages underlie all of the advice that follows: More communication. Less suspicion.


Also from Katie Rose Guest Pryal out at The Chronicle, of Higher Education, see:


 

Sources of Cognitive Load — from learningscientists.org

Excerpt:

Cognitive Load Theory is an influential theory from educational psychology that describes how various factors affect our ability to use our working memory resources. We’ve done a digest about cognitive load theory here and talked about it here and here, but haven’t provided an overview of the theory so I want to give an overview here.

Cognitive load theory provides useful and dynamic model for how many different factors affect working memory and learning. Hopefully this post provides a useful overview of some of the main components of cognitive load!


From DSC:
Along these lines, a while back I put together a video regarding cognitive load. It addresses at least two main questions:

  1. What is cognitive load?
  2. Why should I care about it?

 

What is cognitive load? And why should I care about it?

What is cognitive load? And why should I care about it?

Transcript here.

 

How do I put it into practice?

  • Simplify the explanations of what you’re presenting as much as possible and break down complex tasks into smaller parts
  • Don’t place a large amount of text on a slide and then talk about it at the same time — doing so requires much more processing than most people can deal with.
  • Consider creating two versions of your PowerPoint files:
    • A text-light version that can be used for presenting that content to students
    • A text-heavy version — which can be posted to your LMS for the learners to go through at their own pace — and without trying to process so much information (voice and text, for example) at one time.
  • Design-wise:
    • Don’t use decorative graphics — everything on a slide should be there for a reason
    • Don’t use too many fonts or colors — this can be distracting
    • Don’t use background music when you are trying to explain something
 

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.

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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


 

Does the ADA Require Captions for Internet Videos? — from boia.org

Excerpt:

According to Accessibility.com, at least 2,387 web accessibility lawsuits were filed in 2022. Those lawsuits were either filed under the Americans with Disabilities Act (ADA) or California’s Unruh Act; any violation of the ADA is considered a violation of the Unruh Act.

While the plaintiffs cited a variety of issues, multimedia accessibility is a common point of concern. In 2015, the National Association of the Deaf (NAD) and other plaintiffs settled a lawsuit with Netflix, which cited a lack of captions for certain featured movies and TV shows.

That prompts an interesting question: Does the ADA require captions for internet videos — and if so, how can businesses make sure that they’re compliant?


267: College Learning Disability Specialist Elizabeth Hamblet and 7 Steps to College Success (Author Series) — from learnsmarterpodcast.com

Rachel Kapp, M.Ed., BCET, and Stephanie Pitts, M.Ed., BCET welcome back College Learning Disability Specialist Elizabeth Hamblet to discuss her new book 7 Steps to College Success: A Pathway for Students with Disabilities. She discusses the origin story of the book and the disconnect between what college disability services can do for learners and what learners and parents expect. She talks about reading this book when the learner is in 8th grade because of the specific impact it can have on parent and learner decisions on course selection. Elizabeth discusses how parents and learners can get surprised in the college disability process. Elizabeth talks about the critical importance of non-academic skills and how the drive for success in high school can stand in the way of independence necessary for college success.


What Web Designers Can Learn From Apple’s Assistive Access Feature — from boia.org

Excerpt:

If you’re interested in accessible digital design, pay attention to Apple. The company seems to approach accessibility from the perspective of users with disabilities

Apple’s messaging treats accessibility as a fundamental design principle: Accessibility must be built into digital systems from the start, not tacked on as an afterthought. In other words, they take an accessibility-first mindset, and their commitment seems consistent.

The company’s track record continued in May 2023, when Apple announced its latest suite of accessibility features to launch later that year. One of these features, Assistive Access for iPhone and iPad, holds valuable lessons that web designers can apply to their own work.     

Here’s what Apple accomplished with Assistive Access, plus a few ways web designers can achieve similar goals.

 

Why Colleges Should Pay Attention to Strikes by Their Most Precarious Teachers — from edsurge.com by Robert Ubell
There’s a news story in higher ed that’s not getting enough attention. The nation’s adjuncts are rising up.

Excerpts:

But a recent survey of contingent faculty reveals the more uncertain situation most adjuncts find themselves in. A third of respondents earn less than $25,000 a year, falling below federal poverty guidelines for a family of four. Fewer than half receive university-provided health insurance, with nearly 20 percent on Medicaid.

In a stinging irony, many tenured faculty teach courses on equity and social justice, where students learn about oppression engendered by privilege. Yet just down the hall, someone else with the same level of education is teaching a similar course for vastly less pay and with little or no benefits.

 

Who Does the Thinking: The Role of Generative AI in Higher Education — from youtube.com by Trine Jensen, Chris Dede, Frank Tsiwah, and Kate Thompson

Description:

Generative AI has taken the world by storm since OpenAI launched ChatGPT-3 in November 2022. Generative AI is characterized by its capacity to generate human-like content based on deep learning models in response to prompts. There is a wealth of opinions about how this will impact higher education spanning from the need to limit the use in the protection of higher education to embracing the tool as a means to improve higher education. In this webinar session, speakers from different regions shared their views and perspectives and discuss how Generative AI will transform higher education. What are the challenges to be addressed and which opportunities can be pursued to improve the quality of higher education? Watch the webinar and learn about the uncertainties, tensions, and opportunities triggered by Generative AI.

 


Trust and Transparency Are Key Factors When Using AI in Academia — from by Dr. Andrew Lang
Much can be learned from embracing artificial intelligence in the teaching and learning process. Here, two professors share their experiences using ChatGPT freely in the classroom.


A Professor Encouraged Students to Use ChatGPT. OpenAI Asked Her What She Learned — from techlearning.com by Erik Ofgang
Dr. Francine Berman permitted her students at UMass to use ChatGPT to help them write. Despite limitations, she found there were ways it could help edit student work.


Artificial intelligence glossary: 60+ terms to know — from techtarget.com by Ben Lutkevich
AI is moving fast and can be hard to keep up in real time. Use this glossary as a reference for AI terms. 


 

The AI-Education Divide — from drphilippahardman.substack.com by Philippa Hardman
How the rise of AI has reinforced inequity in education (and what we need to do to reverse it)
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Advancing Excellence in Education: The Changing Role of Centres for Teaching & Learning — from media-and-learning.eu by Alexandra Mihai, Maastricht University, The Netherlands

Excerpts:

Their most recognisable role is to partner with faculty and provide them with inspiration, expertise and support in their teaching. But a broader role is emerging at institutional level- helping create a culture where people value talking about teaching and more generally, fostering a culture of continuous learning. In this respect, CTLs act as agents of change, aiming to influence the organizational (learning) environment.

CTLs are part of an ecosystem, internally and externally, and they have the potential to play a very important role, that of a network node. Internally, this can mean connecting various silos within the university, a much needed task, while externally it implies establishing collaboration flows with other CTLs that can in turn lead to broader inter-university collaboration. Making use of the full potential of this role can make a big difference for the success of a CTL.


Speaking of Teaching & Learning Centers, also see:

7 Questions on Engaging Faculty in Digital Accessibility — from campustechnology.com by Rhea Kelly
We asked the Technical College System of Georgia’s accessibility champions how they help instructors create a more inclusive learning experience for all students.

 
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