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How to Use AI to Do Stuff: An Opinionated Guide [Mollick]

On 07/15/2023, in Artificial Intelligence/Agents/LLMs/and Related, computer science, education technology, emerging technologies, Google, graphics, K-12 related, learning ecosystem, Microsoft, productivity / tips and tricks, professional development, programming, teachers, teaching & learning, by Daniel Christian

How to Use AI to Do Stuff: An Opinionated Guide — from oneusefulthing.org by Ethan Mollick
Covering the state of play as of Summer, 2023

The Major Large Language Models as of July 2023

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Neurodivergent Students Need Flexibility, Not Our Frustration [Rose Guest Pryal]

On 07/14/2023, in adjunct faculty, colleges, communications, community colleges, faculty/staff, higher education, instructional design, law schools, learning ecosystem, Learning Experience Design, neurodivergent/special needs, teaching & learning, United States, universities, by Daniel Christian

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:

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“YouTube tests AI-generated quizzes on educational videos” [Forristal] + numerous other items re: AI in education/HE/corporate training

On 07/13/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, change, colleges, community colleges, computer science, education, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, generational differences, global / globalization, Google, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, journalism, K-12 related, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, platforms, productivity / tips and tricks, professional development, programming, research, science, student-related, teachers, teaching & learning, tools, trends, United States, universities, vendors, vision/possibilities, by Daniel Christian

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

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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

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“Gen Z values education — but doesn’t think a four-year degree is the only option” [Spitalniak] + several other items re: higher education

On 07/07/2023, in 21st century, Alternatives, business side of he, career development, changing business models, colleges, community colleges, experimentation, higher education, ideas, leadership, learning ecosystem, society, strategy, student-related, teaching & learning, United States, universities, vision/possibilities, youth, by Daniel Christian

Gen Z values education — but doesn’t think a four-year degree is the only option — from highereddive.com by Laura Spitalniak

Dive Brief:

  • The current cohort of high school students, part of Generation Z, values postsecondary education but is increasingly interested in alternatives to four-year colleges, according to a new report from ECMC Group, a nonprofit focused on student success, and Vice Media.
  • In 2023, 65% of surveyed students said they would need education beyond high school, compared to 59% pre-pandemic, the report said. But 59% said they could be successful if they don’t get a four-year degree
  • Almost half, 48%, of high schoolers said their postsecondary education would ideally take three years or less, and just over a third, 35%, said it should take two years or less.

From DSC:
And some further comments on that article:

Rather than looking to modify the traditional higher education structures for 18-year-olds fresh out of high school, the College for Adult Learners and Continuing Education will establish its own processes for the nontraditional student.

The average age of students enrolled in the Center for Distance Education is 32, and many have kids or other life responsibilities that impact their time and ability to focus on education, Seal explains.

“It’s not so much that we’re competing with other institutions [for adult learners], it’s that we’re competing with life,” Seal says. “They’re not leaving to go to another institution—they’re leaving because of life things.”

Some resources and reflections from Stephen Downes:

Online Learning Still in High Demand at Community Colleges — from insidehighered.com by Sara Weissman
Some colleges are still offering half or the majority of their classes online in response to student demand.

East Los Angeles College, the most populous campus in the California Community College system, offered 60 percent of its courses in a hybrid or online format this past spring, most of them asynchronous. Prior to the COVID-19 pandemic, fewer than a quarter of courses were offered online.
…

He said students have made their preferences clear via their enrollment trends—online course sections at the college have filled much more quickly lately than in-person courses.

Teaching: Does higher education value good teaching? — from chronicle.com by Beth McMurtrie; possible paywall but at least must have an account

Excerpt:

But the bigger question hanging over the conference was this: Do colleges actually value good teaching? On the one hand, it would seem obvious that they must. Undergraduate education is the central reason most colleges exist. How could you not value your core product?

But look below the surface and what do you see? An industry in which the majority of instructors are adjuncts who are often low-paid and unlikely to receive any sort of professional development, let alone an office in which to meet with students after class. At research universities you will find many tenure-track professors who were warned not to devote too much time to teaching before securing tenure, since scholarship is what’s rewarded. Promotion and tenure policies on many campuses, research-intensive or not, over-rely on student evaluations when it comes to judging teaching expertise or commitment. Finally, given that most doctoral programs devote a nominal amount of time to teaching students how to teach, it’s easy to see why many professors stick to how they were taught as students, whether or not those methods were effective.

 

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Strengthening Elementary Reading Instruction [National Council on Teacher Quality]

On 07/07/2023, in dangers of the status quo, homeschooling/homeschoolers, instructional design, K-12 related, Learning Experience Design, mathematics, pedagogy, reading, student teaching/teacher education, student-related, teachers, teaching & learning, youth, by Daniel Christian

Strengthening Elementary Reading Instruction — from nctq.org

Excerpt:

The status quo is far from inevitable. In fact, we know the solution to this reading crisis, but we are not using the solution at scale. More than 50 years of research compiled by the National Institutes of Health, and continued through further research, provides a clear picture of how skilled reading develops and of effective literacy instruction. These strategies and methods—collectively called scientifically based reading instruction, which is grounded in the science of reading—could dramatically reduce the rate of reading failure. Past estimates have found that while 3 in 10 children struggle to read (and that rate has grown higher since the pandemic), research indicates that more than 90% of all students could learn to read if they had access to teachers who employed scientifically based reading instruction.

Also relevant/see:

 

Though not related to reading, here are some potentially-valuable resource re: mathematics for homeschoolers:

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The Homework Apocalypse [Mollick]

On 07/07/2023, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, colleges, community colleges, education technology, face-to-face, faculty/staff, flipping -- inverted learning, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, instructional design, learning, learning ecosystem, Learning Experience Design, liberal arts, pedagogy, platforms, student-related, teaching & learning, United States, universities, by Daniel Christian

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.

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Shift to Providing Feedback as Students Work [Tucker]

On 07/07/2023, in education, ideas, instructional design, K-12 related, learning, Learning Experience Design, learning theories, pedagogy, teachers, teaching & learning, by Daniel Christian

Shift to Providing Feedback as Students Work — from catlintucker.com by Caitlin Tucker

Excerpt:

How can pulling feedback into the classroom help students develop confidence and improve their self-regulation skills?

Feedback is one of the most powerful tools a teacher has to support students in achieving standards-aligned goals. Feedback also

  • Provides clarity on learning goals and expectations.
  • Guides students in understanding their strengths as well as areas in need of improvement.
  • Supports skill development and mastery of concepts.
  • Enhances metacognitive skills, such as self-regulation and self-monitoring.
  • Encourages engagement and active participation in the learning process.
  • Promotes a growth mindset and a belief in the potential for improvement.
  • Fosters effective communication and dialogue between teachers and students.
  • Builds confidence and self-efficacy in learners.

 

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AI for Education Webinars [Barrett & Co.] plus other items re: AI in our learning ecosystems

On 07/07/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, Asia, assessment, Australia, bots, change, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, aggregation, repositories, digital learning, digital textbooks, education, education reform, education technology, educational games / serious games, emerging technologies, ethics, experimentation, faculty/staff, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, library / librarians, morals/values, multimedia, new media literacies, online media, personalized/customized learning, platforms, productivity / tips and tricks, skills, society, staying relevant, student teaching/teacher education, student-related, teachers, teaching & learning, textbooks, the downsides of how people use tech, tools, United States, universities, vendors, vision/possibilities, youth, by Daniel Christian

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

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Does the Americans with Disabilities Act (ADA) Require Captions for Internet Videos? [boia.org] + other accessibility-related items

On 07/06/2023, in accessibility / UDL, adjunct faculty, Apple, Bias | Diversity Equity & Inclusion (DE&I), business, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital video, education technology, faculty/staff, higher education, human-computer interaction (HCI), instructional design, K-12 related, legislatures / government / legal, podcasting, productivity / tips and tricks, student-related, teachers, teaching & learning, United States, universities, by Daniel Christian

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.

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“Who Does the Thinking: The Role of Generative AI in Higher Education” [Jensen, Dede, Tsiwah, & Thompson]+ other items re: AI in education/higher education

On 07/05/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, Australia, colleges, community colleges, education technology, Europe, experimentation, faculty/staff, higher education, instructional design, intelligent systems, learning, learning ecosystem, Learning Experience Design, pedagogy, teaching & learning, United States, universities, by Daniel Christian

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 [Mihai]

On 06/28/2023, in accessibility / UDL, adjunct faculty, collaboration, colleges, community colleges, content development, aggregation, repositories, digital learning, Europe, faculty/staff, higher education, instructional design, learning, learning ecosystem, Learning Experience Design, learning theories, pedagogy, teaching & learning, universities, by Daniel Christian

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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“The economic potential of generative AI” [McKinsey & Co.] + using AI in the classroom + other AI-related items

On 06/27/2023, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, business, changing business models, colleges, community colleges, corporate / business world, digital learning, digital video, economics, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, generational differences, graphics, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, lifelong learning, new business models, open courseware and systems, personalized/customized learning, platforms, policy, society, teachers, teaching & learning, technologies for your home, tools, UK, United States, universities, workplace, writing, by Daniel Christian

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:

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“…we must seize the possibility to shift from a *schooling* system to a *learning ecosystem*” [Parry]

On 06/26/2023, in creativity, Design Thinking, education, education reform, Europe, future, ideas, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, learning spaces, lifelong learning, more voice more choice more control, parents/guardians, participation, reinvent, relationships, society, student-related, teachers, teaching & learning, United States, youth, by Daniel Christian

Our Learning Future from A to Z — from gettingsmart.com by Louka Parry

Key Points

  • Schools and organizations are human systems, filled with opportunities.
  • And yet there is a profound difference between building from a foundation of schooling and building from a foundation of learning.

Rather than simply replicate and scale the arrangements of schooling, we must seize the possibility to shift from a schooling system to a learning ecosystem to truly empower learners, educators, and parents to create a virtuous future for themselves and their communities.

Louka Parry

Our challenge will be how we choose to redesign and remake our experiences, environments, and ecosystems so that we unlock our true creative potential and thrive in the future.

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The Cambrian Explosion of AI Edtech Is Here [Sarlin, Morin, & Kornell] + several other items re: using AI within our learning ecosystems

On 06/26/2023, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, change, colleges, community colleges, computer science, content development, aggregation, repositories, digital learning, education technology, emerging technologies, experimentation, faculty/staff, future, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, online learning, open courseware and systems, personalized/customized learning, platforms, teachers, teaching & learning, tools, training / L&D, universities, vendors, by Daniel Christian

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.

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What do higher education students want from online learning? [McKinsey’s Child, Frank, Law, & Sarakatsannis]

On 06/26/2023, in 21st century, 24x7x365 access, adjunct faculty, Asia, Australia, blended learning, colleges, community colleges, digital learning, education technology, Europe, faculty/staff, higher education, India, instructional design, law schools, learning, learning ecosystem, learning preferences, online learning, research, student-related, teaching & learning, UK, United States, universities, vendors, by Daniel Christian

What do higher education students want from online learning? — from mckinsey.com by Felipe Child, Marcus Frank, Jonathan Law, and Jimmy Sarakatsannis
What over 7000 students across 17 countries value most in online education

This research from McKinsey covers eight dimensions of the online learning experience encompassing 24 attributes, thereby providing a broad view of what higher education students want.

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