learning

Join our linked in group, AI in the Classroom https://t.co/rmfw0SvcW1 #edtech #GenAI @isteofficial @cosn @ascd @neatoday @aftunion @oecd_edu @ccsso @fetc @tcea @cueinc pic.twitter.com/Cxl80WuDuS

— David Ross (@DavidPBLRoss) August 20, 2024

This AI App Can Solve Your Math Homework, Steps Included — from link.wired.com by Will Knight

Right now, high schoolers and college students around the country are experimenting with free smartphone apps that help complete their math homework using generative AI. One of the most popular options on campus right now is the Gauth app, with millions of downloads. It’s owned by ByteDance, which is also TikTok’s parent company.

The Gauth app first launched in 2019 with a primary focus on mathematics, but soon expanded to other subjects as well, like chemistry and physics. It’s grown in relevance, and neared the top of smartphone download lists earlier this year for the education category. Students seem to love it. With hundreds of thousands of primarily positive reviews, Gauth has a favorable 4.8 star rating in the Apple App Store and Google Play Store.

All students have to do after downloading the app is point their smartphone at a homework problem, printed or handwritten, and then make sure any relevant information is inside of the image crop. Then Gauth’s AI model generates a step-by-step guide, often with the correct answer.

From DSC:
I do hesitate to post this though, as I’ve seen numerous posting re: the dubious quality of AI as it relates to giving correct answers to math-related problems – or whether using AI-based tools help or hurt the learning process. The situation seems to be getting better, but as I understand it, we still have some progress to make in this area of mathematics.

Redefining Creativity in the Age of AI — from gettingsmart.com by David Ross

Key Points

Educational leaders must reconsider the definition of creativity, taking into account how generative AI tools can be used to produce novel and impactful creative work, similar to how film editors compile various elements into a cohesive, creative whole.
Generative AI democratizes innovation by allowing all students to become creators, expanding access to creative processes that were previously limited and fostering a broader inclusion of diverse talents and ideas in education.

AI-Powered Instructional Design at ASU — from drphilippahardman.substack.com by Dr. Philippa Hardman
How ASU’s Collaboration with OpenAI is Reshaping the Role of Instructional Designers

The developments and experiments at ASU provide a fascinating window into two things:

1. How the world is reimagining learning in the age of AI;
2. How the role of the instructional designer is changing in the age of AI.

In this week’s blog post, I’ll provide a summary of how faculty, staff and students at ASU are starting to reimagine education in the age of AI, and explore what this means for the instructions designers who work there.

PhysicsWallah’s ‘Alakh AI’ is Making Education Accessible to Millions in India — from analyticsindiamag.com by Siddharth Jindal

India’s ed-tech unicorn PhysicsWallah is using OpenAI’s GPT-4o to make education accessible to millions of students in India. Recently, the company launched a suite of AI products to ensure that students in Tier 2 & 3 cities can access high-quality education without depending solely on their enrolled institutions, as 85% of their enrollment comes from these areas.

Last year, AIM broke the news of PhysicsWallah introducing ‘Alakh AI’, its suite of generative AI tools, which was eventually launched at the end of December 2023. It quickly gained traction, amassing over 1.5 million users within two months of its release.

Teens are losing interest in school, and say they hear about college ‘a lot’ — from npr.org by Cory Turner

This is not your standard back-to-school story, about school supplies or first-day butterflies.

It’s about how school-aged members of Gen Z — that’s 12- to 18-year-olds — are feeling about school and the future. And according to a new national survey, those feelings are a little worrying.

School engagement is down. The middle- and high-schoolers surveyed find school less interesting than they did just last year, and only about half believe they’re being challenged “in a good way.” The problem is especially acute for teens who say they don’t want to go to college right out of high school.

“The conversations that [K-12 schools are] having with middle-schoolers and high-schoolers are predominantly about college,” says Zach Hrynowski, a senior education researcher at Gallup. “Even the kids who are like, ‘I don’t want to go to college,’ what are they hearing the most about? College. We’re not talking to them about apprenticeships, internships, starting a business, entrepreneurial aspirations or jobs that don’t require a college degree.”

AI agents are the future, and a lot is at stake [Sanzeri]

On 08/28/2024, in 21st century, 24x7x365 access, Artificial Intelligence / Agents / LLMs / and Related, change, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, engineering, entrepreneurship, future, future of higher education, game-changing environment, health, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, personalized/customized learning, the downsides of how people use tech, workplace, by Daniel Christian

AI agents are the future, and a lot is at stake — from forbes.com by Skip Sanzeri

What An Agent Is
Agents are computer programs that can autonomously perform tasks, make decisions and interact with humans or other computers. There are many different types of agents, and they are designed to achieve specific goals spanning our lives and nearly every industry, making them an integral and unstoppable part of our future.

Learning: AI agents will transform education by providing personalized learning experiences such as one-to-one tutoring. ChatGPT and other large language models (LLMs) are providing access to all digital knowledge now. An “agent” would act as a more personalized version of an LLM.

The hacking and control of an AI agent could lead to disastrous consequences, affecting privacy, security, the economy and societal stability. Proactive and comprehensive security strategies are essential to mitigate these risks in the future.

Easing back-to-school fears for neurodivergent students [Gilreath]

On 08/25/2024, in Bias | Diversity Equity & Inclusion (DE&I), biology, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, neurodivergent/special needs, parents/guardians, pedagogy, psychology, student-related, teachers, United States, by Daniel Christian

Easing back-to-school fears for neurodivergent students — from mailchi.mp/hechingerreport.org by Ariel Gilreath

The start of the school year can be stressful, but parents of neurodivergent children are more likely to report feeling overwhelmed, unprepared and scared than other parents, according to a new survey shared with The Hechinger Report.

About 2,100 parents answered the survey this summer from Understood.org, a nonprofit that publishes resources for people with dyslexia, attention deficit disorder and other learning differences. Those with neurodivergent children say they were stressed about their child’s social life, whether the school would meet their child’s needs and whether their child would have access to adequate resources to succeed in school. About 82 percent of those parents said neurodivergent students are often misunderstood by their peers, and 76 percent said they are often misunderstood by teachers.

Reflections on “Why ‘Wisdom Work’ Is the New ‘Knowledge Work'” [Conley]

On 08/23/2024, in business, career development, corporate / business world, Daniel S. Christian, faith, generational differences, hearts -- matters of the heart, ideas, leadership, learning, workplace, by Daniel Christian

Why “Wisdom Work” Is the New “Knowledge Work” — from hbr.org by Chip Conley

Summary:

Today the workforce is getting older, and the number of younger workers in positions of senior management is growing. These two developments might appear to spell trouble, in that they seem to set the generations against one another, but the author of this article argues that in fact they represent an important opportunity: If companies can figure out how to enable the intergenerational transfer of the wisdom that comes with age and experience, they can strengthen themselves — and the workplace as a whole.

It also allowed us to develop a list of the character qualities that most commonly defined our best informal mentors, among them: less ego and more collaboration skills, a knack at asking generative questions, and an ability to offer unvarnished insight that feels like a gift as opposed to judgment.
…
It’s time that we invest as much energy in helping older workers distill their wisdom as we do in helping younger workers accumulate their knowledge.

From DSC:
I think Chip hits on many important and valuable insights in this article. His messages apply to all kinds of organizations. Still, they are especially relevant to the Magnificent Seven (i.e., Google parent Alphabet, Meta Platforms, Amazon.com, Tesla, Apple, Microsoft, and Nvidia) and other tech-related companies who often move forward with designing and producing things without ever thinking about whether they SHOULD be producing those things. What are the positive and negative ramifications of this technology on society? THAT’s a wise question.

I would also add that the word WISDOM is spread throughout the Bible as you can see here — especially in Proverbs 2. So while Chip talks about human wisdom, there is a deeper kind of wisdom that comes from God:

⁶For the Lord gives wisdom;
from his mouth come knowledge and understanding.

THAT kind of wisdom is priceless. And we need it in our businesses and in our lives.

“Let’s Make a Movie Teaser With AI” [Nest] & 9+ other items re: AI in our learning ecosystems

On 08/20/2024, in accessibility / UDL, adjunct faculty, art, Artificial Intelligence / Agents / LLMs / and Related, assistive technologies, Bias | Diversity Equity & Inclusion (DE&I), career development, change, communications, creativity, digital audio, digital storytelling, digital video, education technology, emerging technologies, engagement / engaging students, higher education, ideas, instructional design, intelligent systems, IT in HE, law schools, leadership, learning, learning ecosystem, Learning Experience Design, legislatures / government / legal, media/film, multimedia, neurodivergent/special needs, NVIDIA, parents/guardians, participation, personalized/customized learning, productivity / tips and tricks, teaching & learning, United States, universities, by Daniel Christian

One thing often happens at keynotes and conferences. It surprised me…. — from donaldclarkplanb.blogspot.com by Donald Clark

AI is welcomed by those with dyslexia, and other learning issues, helping to mitigate some of the challenges associated with reading, writing, and processing information. Those who want to ban AI want to destroy the very thing that has helped most on accessibility. Here are 10 ways dyslexics, and others with issues around text-based learning, can use AI to support their daily activities and learning.

- Text-to-Speech & Speech-to-Text Tools…
- Grammar and Spelling Assistants…
- Comprehension Tools…
- Visual and Multisensory Tools…
- …and more

Let’s Make a Movie Teaser With AI — from whytryai.com by Daniel Nest
How to use free generative AI tools to make a teaser trailer.

Here are the steps and the free tools we can use for each.

Brainstorm ideas & flesh out the concept.
1. Claude 3.5 Sonnet
2. Google Gemini 1.5 Pro
3. …or any other free LLM
Create starting frames for each scene.
1. FLUX.1 Pro
2. Ideogram
3. …or any other free text-to-image model
Bring the images to life.
1. Kling AI
2. Luma Dream Machine
3. Runway Gen-2
Generate the soundtrack.
1. Udio
2. Suno
Add sound effects.
1. ElevenLabs Sound Effects
2. ElevenLabs VideoToSoundEffects
3. Meta Audiobox
Put everything together.
1. Microsoft Clipchamp
2. DaVinci Resolve
3. …or any other free video editing tool.

Here we go.

Is AI in Schools Promising or Overhyped? Potentially Both, New Reports Suggest — from the74million.org by Greg Toppo; via Claire Zau
One urges educators to prep for an artificial intelligence boom. The other warns that it could all go awry. Together, they offer a reality check.

Are U.S. public schools lagging behind other countries like Singapore and South Korea in preparing teachers and students for the boom of generative artificial intelligence? Or are our educators bumbling into AI half-blind, putting students’ learning at risk?

Or is it, perhaps, both?

Two new reports, coincidentally released on the same day last week, offer markedly different visions of the emerging field: One argues that schools need forward-thinking policies for equitable distribution of AI across urban, suburban and rural communities. The other suggests they need something more basic: a bracing primer on what AI is and isn’t, what it’s good for and how it can all go horribly wrong.

Bite-Size AI Content for Faculty and Staff — from aiedusimplified.substack.com by Lance Eaton
Another two 5-tips videos for faculty and my latest use case: creating FAQs!

I had an opportunity recently to do more of my 15-minute lightning talks. You can see my lightning talks from late winter in this post, or can see all of them on my YouTube channel. These two talks were focused on faculty in particular.

Also from Lance, see:

AI in Education: Leading a Paradigm Shift — from gettingsmart.com by Dr. Tyler Thigpen

Despite possible drawbacks, an exciting wondering has been—What if AI was a tipping point helping us finally move away from a standardized, grade-locked, ranking-forced, batched-processing learning model based on the make believe idea of “the average man” to a learning model that meets every child where they are at and helps them grow from there?

I get that change is indescribably hard and there are risks. But the integration of AI in education isn’t a trend. It’s a paradigm shift that requires careful consideration, ongoing reflection, and a commitment to one’s core values. AI presents us with an opportunity—possibly an unprecedented one—to transform teaching and learning, making it more personalized, efficient, and impactful. How might we seize the opportunity boldly?

California and NVIDIA Partner to Bring AI to Schools, Workplaces — from govtech.com by Abby Sourwine
The latest step in Gov. Gavin Newsom’s plans to integrate AI into public operations across California is a partnership with NVIDIA intended to tailor college courses and professional development to industry needs.

California Gov. Gavin Newsom and tech company NVIDIA joined forces last week to bring generative AI (GenAI) to community colleges and public agencies across the state. The California Community Colleges Chancellor’s Office (CCCCO), NVIDIA and the governor all signed a memorandum of understanding (MOU) outlining how each partner can contribute to education and workforce development, with the goal of driving innovation across industries and boosting their economic growth.

Listen to anything on the go with the highest-quality voices — from elevenlabs.io; via The Neuron
The ElevenLabs Reader App narrates articles, PDFs, ePubs, newsletters, or any other text content. Simply choose a voice from our expansive library, upload your content, and listen on the go.

Per The Neuron

Some cool use cases:

Judy Garland can teach you biology while walking to class.
James Dean can narrate your steamy romance novel.
Sir Laurence Olivier can read you today’s newsletter—just paste the web link and enjoy!

Why it’s important: ElevenLabs shared how major Youtubers are using its dubbing services to expand their content into new regions with voices that actually sound like them (thanks to ElevenLabs’ ability to clone voices).
Oh, and BTW, it’s estimated that up to 20% of the population may have dyslexia. So providing people an option to listen to (instead of read) content, in their own language, wherever they go online can only help increase engagement and communication.

How Generative AI Improves Parent Engagement in K–12 Schools — from edtechmagazine.com by Alexadner Slagg
With its ability to automate and personalize communication, generative artificial intelligence is the ideal technological fix for strengthening parent involvement in students’ education.

As generative AI tools populate the education marketplace, the technology’s ability to automate complex, labor-intensive tasks and efficiently personalize communication may finally offer overwhelmed teachers a way to effectively improve parent engagement.
…
These personalized engagement activities for students and their families can include local events, certification classes and recommendations for books and videos. “Family Feed might suggest courses, such as an Adobe certification,” explains Jackson. “We have over 14,000 courses that we have vetted and can recommend. And we have books and video recommendations for students as well.”

Including personalized student information and an engagement opportunity makes it much easier for parents to directly participate in their children’s education.

Will AI Shrink Disparities in Schools, or Widen Them? — edsurge.com by Daniel Mollenkamp
Experts predict new tools could boost teaching efficiency — or create an “underclass of students” taught largely through screens.

Making sure that our classrooms are characterised by ‘high challenge’ alongside ‘low threat’. [Myatt]

On 08/20/2024, in education, Emotion, K-12 related, learning, Learning Experience Design, student-related, teachers, teaching & learning, youth, by Daniel Christian

No-one wants to feel like a muppet! — from marymyatt.substack.com/ by Mary Myatt
High challenge, low threat

But what is crucial is that this is not a public, humiliating struggle which dehumanises the person, it is the private conversations we have with ourselves about what is working and what isn’t.

The second strand is that the circumstances are always low threat. No-one else can see our struggling to get the solution.

No-one is pointing the finger.

It is when we feel safe at this deep level that we are prepared to risk things and have a go.

If we are serious about providing pupils with an ambitious curriculum, we need to consider how the ‘high challenge’ is balanced by ‘low threat’.

Augmented Course Design: Using AI to Boost Efficiency and Expand Capacity [Fang & Broussard] + other items re: AI’s impact on ID

On 08/15/2024, in accessibility / UDL, adjunct faculty, Artificial Intelligence / Agents / LLMs / and Related, assistive technologies, Bias | Diversity Equity & Inclusion (DE&I), business side of he, colleges, community colleges, content development, aggregation, repositories, design, digital audio, digital learning, digital video, faculty, graphics, higher education, ideas, innovation, instructional design, intelligent systems, IT in HE, leadership, learning, learning ecosystem, Learning Experience Design, liberal arts, lifelong learning, multimedia, online learning, online media, productivity / tips and tricks, skills, strategy, teaching & learning, tools, United States, universities, vision/possibilities, by Daniel Christian

Augmented Course Design: Using AI to Boost Efficiency and Expand Capacity — from er.educause.edu by Berlin Fang and Kim Broussard
The emerging class of generative AI tools has the potential to significantly alter the landscape of course development.

Using generative artificial intelligence (GenAI) tools such as ChatGPT, Gemini, or CoPilot as intelligent assistants in instructional design can significantly enhance the scalability of course development. GenAI can significantly improve the efficiency with which institutions develop content that is closely aligned with the curriculum and course objectives. As a result, institutions can more effectively meet the rising demand for flexible and high-quality education, preparing a new generation of future professionals equipped with the knowledge and skills to excel in their chosen fields.¹ In this article, we illustrate the uses of AI in instructional design in terms of content creation, media development, and faculty support. We also provide some suggestions on the effective and ethical uses of AI in course design and development. Our perspectives are rooted in medical education, but the principles can be applied to any learning context.
…
Table 1 summarizes a few low-hanging fruits in AI usage in course development.
.

**Table 1. Types of Use of GenAI in Course Development**
Practical Use of AI	Use Scenarios and Examples
Inspiration	Exploring ideas for instructional strategies Exploring ideas for assessment Course mapping Lesson or unit content planning
Supplementation	Text to audio Transcription for audio Alt text auto-generation Design optimization (e.g., using Microsoft PPT Design)
Improvement	Improving learning objectives Improving instructional materials Improving course content writing (grammar, spelling, etc.)
Generation	Creating a PowerPoint draft using learning objectives Creating peripheral content materials (introductions, conclusions) Creating decorative images for content
Expansion	Creating a scenario based on learning objectives Creating a draft of a case study Creating a draft of a rubric

.

Also see:

10 Ways Artificial Intelligence Is Transforming Instructional Design — from er.educause.edu by Rob Gibson
Artificial intelligence (AI) is providing instructors and course designers with an incredible array of new tools and techniques to improve the course design and development process. However, the intersection of AI and content creation is not new.

I have been telling my graduate instructional design students that AI technology is not likely to replace them any time soon because learning and instruction are still highly personalized and humanistic experiences. However, as these students embark on their careers, they will need to understand how to appropriately identify, select, and utilize AI when developing course content. Examples abound of how instructional designers are experimenting with AI to generate and align student learning outcomes with highly individualized course activities and assessments. Instructional designers are also using AI technology to create and continuously adapt the custom code and power scripts embedded into the learning management system to execute specific learning activities.Footnote1 Other useful examples include scripting and editing videos and podcasts.

Here are a few interesting examples of how AI is shaping and influencing instructional design. Some of the tools and resources can be used to satisfy a variety of course design activities, while others are very specific.

Taking the Lead: Why Instructional Designers Should Be at the Forefront of Learning in the Age of AI — from medium.com by Rob Gibson
Education is at a critical juncture and needs to draw leaders from a broader pool, including instructional designers

The world of a medieval stone cutter and a modern instructional designer (ID) may seem separated by a great distance, but I wager any ID who upon hearing the story I just shared would experience an uneasy sense of déjà vu. Take away the outward details, and the ID would recognize many elements of the situation: the days spent in projects that fail to realize the full potential of their craft, the painful awareness that greater things can be built, but are unlikely to occur due to a poverty of imagination and lack of vision among those empowered to make decisions.

Finally, there is the issue of resources. No stone cutter could ever hope to undertake a large-scale enterprise without a multitude of skilled collaborators and abundant materials. Similarly, instructional designers are often departments of one, working in scarcity environments, with limited ability to acquire resources for ambitious projects and — just as importantly — lacking the authority or political capital needed to launch significant initiatives. For these reasons, instructional design has long been a profession caught in an uncomfortable stasis, unable to grow, evolve and achieve its full potential.

That is until generative AI appeared on the scene. While the discourse around AI in education has been almost entirely about its impact on teaching and assessment, there has been a dearth of critical analysis regarding AI’s potential for impacting instructional design.

We are at a critical juncture for AI-augmented learning. We can either stagnate, missing opportunities to support learners while educators continue to debate whether the use of generative AI tools is a good thing, or we can move forward, building a transformative model for learning akin to the industrial revolution’s impact.

Too many professional educators remain bound by traditional methods. The past two years suggest that leaders of this new learning paradigm will not emerge from conventional educational circles. This vacuum of leadership can be filled, in part, by instructional designers, who are prepared by training and experience to begin building in this new learning space.

2024 CHLOE 9 Report
August 13, 2024

CHLOE 9 | Strategy Shift: Institutions Respond to Sustained Online Demand

The ninth installment of the Changing Landscape of Online Education (CHLOE) report, produced by Quality MattersTM , Eduventures® and Educause — offers an overview of the current state of online learning in higher education as well as insights into its future development. The report was compiled by surveying chief online officers (COLOs) — the professionals best situated to assess the current state of this ever-developing field — at U.S. two- and four-year colleges and universities.

The majority of survey participants report both learner demand for online learning surging and institutional strategic priorities shifting to meet this demand, as well as the adaptation to the new presence of AI tools in the academic environment. Notable findings from the 53-page report include:

Priorities for Online Learning: Institutions are increasingly prioritizing the development of online versions of both on-campus courses (69%) and on-campus degrees (65%) in order to meet demand. In terms of their topmost priority, 43% of COLOs chose online versions of on-campus degrees (the majority of public four-year institutions identified this as their top priority), with online versions of on-campus courses selected as the top priority by 39%.
Tuition and Institutional Revenue: …
AI in Higher Education: …
Third-Party Servicers: …
Regular and Substantive Interaction: …

Two-thirds of colleges are prioritizing online versions of on-campus programs, poll finds — from highereddive.com by Natalie Schwartz
The ninth Changing Landscape of Online Education survey offers a glimpse into the distance education marketplace.

Dive Brief:

Roughly two-thirds of colleges are making it a priority to create virtual versions of on-campus classes and programs, according to an annual survey of chief online learning officers.
College officials likely see creating online versions of existing programs as easier than launching entirely new academic programs, according to the report.
However, 48% of chief online learning officers still said their priorities included launching new online programs with no campus equivalent.

CHLOE 9 Report by Quality Matters, Eduventures, and EDUCAUSE Highlights Continuing Shift of Learner Demand and Institutional Strategy Toward Online Learning — from marketwatch.com
Key findings include increased demand from on-campus students for online options, a notable shift in institutional strategies to align with this demand, and the growing use of artificial intelligence in online education.

BOSTON, Aug. 13, 2024 /PRNewswire-PRWeb/ — Quality Matters, EDUCAUSE, and Eduventures Research have released the ninth edition of the Changing Landscape of Online Education (CHLOE) report, compiling the perspectives of chief online learning officers (COLOs) around the United States. CHLOE 9: Strategy Shift: Institutions Respond to Sustained Online Demand reveals a continued increase in student preference for online learning and the strategies institutions are employing to address this demand.

The report also outlines institutional perspectives on a host of other factors contributing to the state of online education, including artificial intelligence, third-party servicers, OPMs and regular and substantive interaction.

Addendum on 8/15/24:

The State of Online Learning | The CHLOE 9 Survey – Part 1 — from onedtech.philhillaa.com by Glenda Morgan

For the uninitiated, since 2017 the CHLOE report has surveyed Chief Online Learning Officers (COLOs) at higher education institutions in the US to map the changing landscape of online education. It has become an invaluable resource in understanding the topography of online learning in the US as well as how it is changing as more institutions move online and that environment becomes more regulated and more competitive.

I found this year’s survey much more engaging than in recent years. Many of the questions asked and the way they were framed address the issues of concern to people managing online learning. There is a lot in the survey, and I am going to break my coverage into two parts. In this first post, I want to cover the more general findings of the survey as well as some of my concerns with it. In my next post, I want to do a deeper dive into what the CHLOE survey reports about outsourcing and OPMs, a topic that we have covered extensively in this newsletter.

14+ resources regarding AI in our learning ecosystems

On 08/13/2024, in adjunct faculty, adult learning, Australia, CMS/LMS, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education technology, elearning, emerging technologies, experimentation, faculty, Google, heutagogy, higher education, human-computer interaction (HCI), ideas, instructional design, intelligent systems, IT in HE, K-12 related, law schools, leadership, learning, learning ecosystem, Learning Experience Design, learning theories, lifelong learning, Microsoft, multimedia, Open AI, platforms, policy, productivity / tips and tricks, religion, strategy, student-related, teachers, teaching & learning, tools, training / L&D, United States, universities, vendors, by Daniel Christian

What Students Want When It Comes To AI — from onedtech.philhillaa.com by Glenda Morgan
The Digital Education Council Global AI Student Survey 2024

The Digital Education Council (DEC) this week released the results of a global survey of student opinions on AI. It’s a large survey with nearly 4,000 respondents conducted across 16 countries, but more importantly, it asks some interesting questions. There are many surveys about AI out there right now, but this one stands out. I’m going to go into some depth here, as the entire survey report is worth reading.

.

AI is forcing a teaching and learning evolution — from eschoolnews.com by Laura Ascione
AI and technology tools are leading to innovative student learning–along with classroom, school, and district efficiency

Key findings from the 2024 K-12 Educator + AI Survey, which was conducted by Hanover Research, include:

Teachers are using AI to personalize and improve student learning, not just run classrooms more efficiently, but challenges remain
While post-pandemic challenges persist, the increased use of technology is viewed positively by most teachers and administrators
…and more

From DSC:
I wonder…how will the use of AI in education square with the issues of using smartphones/laptops within the classrooms? See:

Why Schools Are Racing to Ban Student Phones — from nytimes.com by Natasha Singer; via GSV
As the new school year starts, a wave of new laws that aim to curb distracted learning is taking effect in Indiana, Louisiana and other states.

A three-part series from Dr. Phillippa Hardman:

Part 1: Writing Learning Objectives
The Results Part 1: Writing Learning Objectives

In this week’s post I will dive into the results from task 1: writing learning objectives. Stay tuned over the next two weeks to see all of the the results.

Part 2: Selecting Instructional Strategies.
The Results Part 2: Selecting an Instructional Strategy

Welcome back to our three-part series exploring the impact of AI on instructional design.
…
This week, we’re tackling a second task and a crucial aspect of instructional design: selecting instructional strategies. The ability to select appropriate instructional strategies to achieve intended objectives is a mission-critical skill for any instructional designer. So, can AI help us do a good job of it? Let’s find out!

Part 3: How Close is AI to Replacing Instructional Designers?
The Results Part 3: Creating a Course Outline

Today, we’re diving into what many consider to be the role-defining task of the instructional designer: creating a course design outline.

ChatGPT Cheat Sheet for Instructional Designers! — from Alexandra Choy Youatt EdD

Instructional Designers!
Whether you’re new to the field or a seasoned expert, this comprehensive guide will help you leverage AI to create more engaging and effective learning experiences.

What’s Inside?
Roles and Tasks: Tailored prompts for various instructional design roles and tasks.
Formats: Different formats to present your work, from training plans to rubrics.
Learning Models: Guidance on using the ADDIE model and various pedagogical strategies.
Engagement Tips: Techniques for online engagement and collaboration.
Specific Tips: Industry certifications, work-based learning, safety protocols, and more.

Who Can Benefit?
Corporate Trainers
Curriculum Developers
E-Learning Specialists
Instructional Technologists
Learning Experience Designers
And many more!
…

ChatGPT Cheat Sheet | Instructional Designer

5 AI Tools I Use Every Day (as a Busy Student) — from theaigirl.substack.com by Diana Dovgopol
AI tools that I use every day to boost my productivity.
#1 Gamma
#2 Perplexity
#3 Cockatoo

I use this AI tool almost every day as well. Since I’m still a master’s student at university, I have to attend lectures and seminars, which are always in English or German, neither of which is my native language. With the help of Cockatoo, I create scripts of the lectures and/or translations into my language. This means I don’t have to take notes in class and then manually translate them afterward. All I need to do is record the lecture audio on any device or directly in Cockatoo, upload it, and then you’ll have the audio and text ready for you.

…and more

Students Worry Overemphasis on AI Could Devalue Education — from insidehighered.com by Juliette Rowsell
Report stresses that AI is “new standard” and universities need to better communicate policies to learners.

Rising use of AI in higher education could cause students to question the quality and value of education they receive, a report warns.

This year’s Digital Education Council Global AI Student Survey, of more than 3,800 students from 16 countries, found that more than half (55 percent) believed overuse of AI within teaching devalued education, and 52 percent said it negatively impacted their academic performance.

Despite this, significant numbers of students admitted to using such technology. Some 86 percent said they “regularly” used programs such as ChatGPT in their studies, 54 percent said they used it on a weekly basis, and 24 percent said they used it to write a first draft of a submission.

Higher Ed Leadership Is Excited About AI – But Investment Is Lacking — from forbes.com by Vinay Bhaskara

As corporate America races to integrate AI into its core operations, higher education finds itself in a precarious position. I conducted a survey of 63 university leaders revealing that while higher ed leaders recognize AI’s transformative potential, they’re struggling to turn that recognition into action.

This struggle is familiar for higher education — gifted with the mission of educating America’s youth but plagued with a myriad of operational and financial struggles, higher ed institutions often lag behind their corporate peers in technology adoption. In recent years, this gap has become threateningly large. In an era of declining enrollments and shifting demographics, closing this gap could be key to institutional survival and success.

The survey results paint a clear picture of inconsistency: 86% of higher ed leaders see AI as a “massive opportunity,” yet only 21% believe their institutions are prepared for it. This disconnect isn’t just a minor inconsistency – it’s a strategic vulnerability in an era of declining enrollments and shifting demographics.

(Generative) AI Isn’t Going Anywhere but Up — from stefanbauschard.substack.com by Stefan Bauschard
“Hype” claims are nonsense.

There has been a lot of talk recently about an “AI Bubble.” Supposedly, the industry, or at least the generative AI subset of it, will collapse. This is known as the “Generative AI Bubble.” A bubble — a broad one or a generative one — is nonsense. These are the reasons we will continue to see massive growth in AI.

AI Readiness: Prepare Your Workforce to Embrace the Future — from learningguild.com by Danielle Wallace

Artificial Intelligence (AI) is revolutionizing industries, enhancing efficiency, and unlocking new opportunities. To thrive in this landscape, organizations need to be ready to embrace AI not just technologically but also culturally.

Learning leaders play a crucial role in preparing employees to adapt and excel in an AI-driven workplace. Transforming into an AI-empowered organization requires more than just technological adoption; it demands a shift in organizational mindset. This guide delves into how learning leaders can support this transition by fostering the right mindset attributes in employees.

Claude AI for eLearning Developers — from learningguild.com by Bill Brandon

Claude is fast, produces grammatically correct text, and outputs easy-to-read articles, emails, blog posts, summaries, and analyses. Take some time to try it out. If you worry about plagiarism and text scraping, put the results through Grammarly’s plagiarism checker (I did not use Claude for this article, but I did send the text through Grammarly).

Survey: Top Teacher Uses of AI in the Classroom — from thejournal.com by Rhea Kelly

A new report from Cambium Learning Group outlines the top ways educators are using artificial intelligence to manage their classrooms and support student learning. Conducted by Hanover Research, the 2024 K-12 Educator + AI Survey polled 482 teachers and administrators at schools and districts that are actively using AI in the classroom.

More than half of survey respondents (56%) reported that they are leveraging AI to create personalized learning experiences for students. Other uses included providing real-time performance tracking and feedback (cited by 52% of respondents), helping students with critical thinking skills (50%), proofreading writing (47%), and lesson planning (44%).

On the administrator side, top uses of AI included interpreting/analyzing student data (61%), managing student records (56%), and managing professional development (56%).

Addendum on 8/14/24:

Digital Writing Lab

About this Project

The Digital Writing Lab is a key component of the Australian national Teaching Digital Writing project, which runs from 2022-2025.

This stage of the broader project involves academic and secondary English teacher collaboration to explore how teachers are conceptualising the teaching of digital writing and what further supports they may need.

Previous stages of the project included archival research reviewing materials related to digital writing in Australia’s National Textbook Collection, and a national survey of secondary English teachers. You can find out more about the whole project via the project blog.

Who runs the project?

Project Lead Lucinda McKnight is an Associate Professor and Australian Research Council (ARC) DECRA Fellow researching how English teachers can connect the teaching of writing to contemporary media and students’ lifeworlds.

She is working with Leon Furze, who holds the doctoral scholarship attached to this project, and Chris Zomer, the project Research Fellow. The project is located in the Research for Educational Impact (REDI) centre at Deakin University, Melbourne.

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Using Class Discussions as AI-Proof Assessments [McPhillips]

On 08/05/2024, in Artificial Intelligence / Agents / LLMs / and Related, assessment, collaboration, communications, education, education technology, ideas, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, participation, pedagogy, teachers, youth, by Daniel Christian

Using Class Discussions as AI-Proof Assessments — from edutopia.org by Kara McPhillips
Classroom discussions are one way to ensure that students are doing their own work in the age of artificial intelligence.

I admit it: Grading essays has never topped my list of teaching joys. Sure, the moments when a student finally nails a skill after months of hard work make me shout for joy, startling my nearby colleagues (sorry, Ms. Evans), but by and large, it’s hard work. Yet lately, as generative artificial intelligence (AI) headlines swirl in my mind, a new anxiety has crept into my grading life. I increasingly wonder, am I looking at their hard work?

Do you know when I don’t feel this way? During discussions. A ninth grader wiggling the worn corner of her text, leaning forward with excitement over what she’s cleverly noticed about Kambili, rarely makes me wonder, “Are these her ideas?”

While I’ve always thought discussion is important, AI is elevating that importance. This year, I wonder, how can I best leverage discussion in my classroom?

Where are all the Special Educators? [Aldeman]

On 08/03/2024, in Bias | Diversity Equity & Inclusion (DE&I), education, K-12 related, learning, learning ecosystem, neurodivergent/special needs, student-related, teachers, United States, youth, by Daniel Christian

Where are all the Special Educators? — from educationnext.org by Chad Aldeman
Schools employ more special education teachers than ever. So why is there a shortage?

Is there a shortage of special education teachers in America’s public schools? If so, why? And how can policymakers fix it?

The first question sounds like an easy one. Yes, there is a shortage of special education teachers. In 2023–24, more than half of districts and 80 percent of states reported such a shortage.

If you doubt the self-reported data, a simple back-of-the-envelope calculation will lead you to the same conclusion. About 46,000 special education teachers leave public schools every year, while teacher preparation programs are training fewer than 30,000 new ones to replace them. Even if districts can supplement those new trainees with teachers who are re-entering the profession, that still makes for a very tight labor market.

Rapidly Rising Demand
The percentage of public school students who receive special education services has risen over time, reaching 15 percent in 2022–23. That increase has been propelled by a number of factors, including better and earlier identification of students who need additional support.

“For college students—and for higher ed itself—AI is a required course” [Merisotis] + other items re: AI in our learning ecosystems

On 08/03/2024, in 21st century, 24x7x365 access, accessibility / UDL, adjunct faculty, apprenticeships, Artificial Intelligence / Agents / LLMs / and Related, Bias | Diversity Equity & Inclusion (DE&I), bots, career development, colleges, community colleges, content development, aggregation, repositories, copyright/ownership/NFTs, education, education technology, emerging technologies, faculty, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, platforms, productivity / tips and tricks, real-world assignments, reinvent, skills, student-related, teachers, teaching & learning, teaching online, technologies for your home, technology (general), tools, trends, United States, universities, vendors, vision/possibilities, workplace, youth, by Daniel Christian

For college students—and for higher ed itself—AI is a required course — from forbes.com by Jamie Merisotis

Some of the nation’s biggest tech companies have announced efforts to reskill people to avoid job losses caused by artificial intelligence, even as they work to perfect the technology that could eliminate millions of those jobs.

It’s fair to ask, however: What should college students and prospective students, weighing their choices and possible time and financial expenses, think of this?

The news this spring was encouraging for people seeking to reinvent their careers to grab middle-class jobs and a shot at economic security.

Addressing Special Education Needs With Custom AI Solutions — from teachthought.com
AI can offer many opportunities to create more inclusive and effective learning experiences for students with diverse learning profiles.

For too long, students with learning disabilities have struggled to navigate a traditional education system that often fails to meet their unique needs. But what if technology could help bridge the gap, offering personalized support and unlocking the full potential of every learner?

Artificial intelligence (AI) is emerging as a powerful ally in special education, offering many opportunities to create more inclusive and effective learning experiences for students with diverse learning profiles.

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11 Summer AI Developments Important to Educators — from stefanbauschard.substack.com by Stefan Bauschard
Equity demands that we help students prepare to thrive in an AI-World

*SearchGPT
*Smaller & on-device (phones, glasses) AI models
*AI TAs
*Access barriers decline, equity barriers grow
*Claude Artifacts and Projects
*Agents, and Agent Teams of a million+
*Humanoid robots & self-driving cars
*AI Curricular integration
*Huge video and video-segmentation gains
*Writing Detectors — The final blow
*AI Unemployment, Student AI anxiety, and forward-thinking approaches
*Alternative assessments

Academic Fracking: When Publishers Sell Scholars Work to AI — from aiedusimplified.substack.com by Lance Eaton
Further discussion of publisher practices selling scholars’ work to AI companies

Last week, I explored AI and academic publishing in response to an article that came out a few weeks ago about a deal Taylor & Francis made to sell their books to Microsoft and one other AI company (unnamed) for a boatload of money.

Since then, two more pieces have been widely shared including this piece from Inside Higher Ed by Kathryn Palmer (and to which I was interviewed and mentioned in) and this piece from Chronicle of Higher Ed by Christa Dutton. Both pieces try to cover the different sides talking to authors, scanning the commentary online, finding some experts to consult and talking to the publishers. It’s one of those things that can feel like really important and also probably only to a very small amount of folks that find themselves thinking about academic publishing, scholarly communication, and generative AI.

At the Crossroads of Innovation: Embracing AI to Foster Deep Learning in the College Classroom — from er.educause.edu by Dan Sarofian-Butin
AI is here to stay. How can we, as educators, accept this change and use it to help our students learn?

The Way Forward
So now what?

In one respect, we already have a partial answer. Over the last thirty years, there has been a dramatic shift from a teaching-centered to a learning-centered education model. High-impact practices, such as service learning, undergraduate research, and living-learning communities, are common and embraced because they help students see the real-world connections of what they are learning and make learning personal.11

Therefore, I believe we must double down on a learning-centered model in the age of AI.

The first step is to fully and enthusiastically embrace AI.
…
The second step is to find the “jagged technological frontier” of using AI in the college classroom.

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Futures Thinking in Education — from gettingsmart.com by Getting Smart Staff

Key Points

Educators should leverage these tools to prepare for rapid changes driven by technology, climate, and social dynamics.
Cultivating empathy for future generations can help educators design more impactful and forward-thinking educational practices.

Gig Work, College Skills [Fain]

On 08/01/2024, in apprenticeships, business, career development, collaboration, colleges, community colleges, engagement / engaging students, experimentation, higher education, learning, learning ecosystem, Learning Experience Design, liberal arts, skills, student-related, teaching & learning, United States, universities, by Daniel Christian

Gig Work, College Skills — from the-job.beehiiv.com by Paul Fain
New partnership lets college students use classroom learning for freelance roles.

Bringing Freelancing to College Education
A new partnership between Podium Education, an experiential learning company, and the freelance platform Upwork aims to let more students use the skills they’ve learned in class—and to make money now for doing so.

The Big Idea: The partnership, announced today, is an extension of the work that Podium already does with more than 70 universities. Through their Global Career Accelerator, students learn marketing, data analytics, or coding skills for credit and get the chance to work on a specific project with companies like Intel and the nonprofit charity: water. With the new partnership, students who complete the coursework will get customized access to and onboarding with Upwork, as well as coaching on how to be successful in freelancing.

Learning Ecosystems

Reflections on “Why ‘Wisdom Work’ Is the New ‘Knowledge Work'” [Conley]

The 2024 CHLOE 9 Report is out. The Changing Landscape of Online Education Project.

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