K-12 related

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?

What to know about homeschooling [Wisner]

On 08/05/2024, in Alternatives, education, education reform, homeschooling/homeschoolers, K-12 related, learning ecosystem, Learning from the Living [Class] Room, learning preferences, parents/guardians, student-related, United States, by Daniel Christian

What to know about homeschooling — from parents.com by Wendy Wisner
Get a closer look at why families choose homeschooling, how common homeschooling is, and what homeschooling really looks like for kids and parents.

There are so many reasons why families become interested in homeschooling their children, and these days the choice has become much more mainstream and accepted.1 You may be interested in homeschooling starting from preschool or kindergarten, or it may be something you are considering for your older child.

While there are a lot of factors to weigh as you consider the option of homeschooling, the good news is that now, more than ever, there are many resources out there to help you. Let’s take a look at why families choose to homeschool, what homeschooling really looks like, and what the options for style and instruction.

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/staff, 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.
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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.

“Designing your classroom” + “A Starter Pack of Resources for New Teachers” [edutopia.org]

On 08/01/2024, in design, education, K-12 related, learning, learning ecosystem, learning spaces, learning theories, teachers, United States, by Daniel Christian

Designing your classroom — from edutopia.org

As back-to-school season approaches, we know you’re gearing up to design your next classroom. It can be daunting to craft a space that does it all: boosts academic achievement, fosters collaboration, *and* makes students feel welcome and included.

That’s why we’ve curated a brand-new collection of 25 articles and videos—packed with research-backed insights and actionable strategies—to help find a layout that works best for you and your students. Topics range from optimizing your classroom walls to creating an environment that supports a wide range of executive functioning skills. Whether you’re a teacher or an administrator, these essential resources are designed to guide you through every stage of classroom setup.

Also from edutopia.org, see:

A Starter Pack of Resources for New Teachers — from edutopia.org
We’ve pulled together articles and videos in which educators—both veteran and new—share what they wish they knew on day one about classroom design, assessment, working with parents, and more.

Also re: the K-12 learning ecosystem, see:

As climate changes fuels hotter temperatures, kids are learning less — from hechingerreport.org by Jessica Kutz
Rising temperatures mean dehydrated, exhausted kids, but some policy makers are starting to take notice
5 More of My Favorite Beginning-of-Year Resources — from thebrokencopier.substack.com by Marcus Luther and The Broken Copier
And just like last year’s post, I’ve included templates/tools you for your classroom
Advice for New Teachers From a Teacher of the Year — from edutopia.org by Rebecka Peterson
Try implementing four simple ways of thinking to help guide you through your evolution as an educator.

Virtual Coaching Videos: Answering Your Questions [Tucker]

On 08/01/2024, in blended learning, content development, aggregation, repositories, digital learning, education, education technology, hybrid learning, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, more voice more choice more control, online media, student-related, teachers, United States, web-based collaboration, by Daniel Christian

Virtual Coaching Videos: Answering Your Questions — from catlintucker.com by Catlin Tucker
(Emphasis below by DSC — and I would like to thank Catlin and people like her who are sharing their knowledge — free of charge — as they help others learn and grow!)

I am excited to announce the launch of a new video series on YouTube called “Virtual Coaching.” I have the privilege of working with thousands of educators every year who are expanding their teaching toolboxes to include blended learning models, UDL, and student-led instructional strategies. I understand how challenging it can be to shift practice. I encourage the educators I work with to reach out if they hit bumps, have questions, or need support as they implement new instructional models. Every year, I field hundreds of questions from the educators I work with and people who read my blog or listen to my podcast.

Having a reliable resource to ask questions and receive timely, practical responses when trying something new is crucial. That’s the goal of my new video series, “Virtual Coaching.” I want to answer your questions, tapping into my experiences and resources as a teacher, coach, and professional learning facilitator. I hope these videos will be valuable as you strive to design and facilitate engaging, effective, and equitable learning experiences.

Each virtual coaching video is designed to provide you with actionable advice that you can apply immediately. These videos cover various topics, including implementing new teaching strategies, overcoming classroom challenges, and exploring innovative ways to engage students. Time is a limited commodity, so I keep my videos short and sweet. The goal is to provide my community of educators with support, insights, and inspiration without overwhelming you or consuming too much of your time.

Also from Catlin, see:

Why Don’t We Trust Students? — from catlintucker.com by Catlin Tucker

As someone who regularly works with teachers on topics like blended learning, Universal Design for Learning (UDL), and student-led learning, one recurring theme I encounter is control. There’s a pervasive fear among educators when it comes to releasing control and allowing students to take more ownership and responsibility for their learning. This begs the question: Why don’t we trust our students? What is it that we really fear?

If we maintain all the control, we hinder our students’ ability to develop the essential skills they will need in the future. The rapidly changing demands of the workplace and life require individuals who are self-motivated, adaptable, and capable of critical thinking and problem-solving. By not allowing students to take more responsibility for their learning, we risk leaving them unprepared for these future challenges.

From DSC:
This item re: control makes me think of this graphic, which readers of this blog will recognize.

Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

Building Durable Skills into Middle School Career Exploration — from edmentum.com

As the needs of the modern workforce evolve at an unprecedented rate, durable, or “soft,” skills are often eclipsing demand for sought-after technical skills in high-demand jobs across industry sectors, geography, and educational level.

Through research, collaboration, and feedback from more than 800 educators, workforce professionals, industry leaders, and policymakers, America Succeeds—a leading educational policy and advocacy group—has developed Durable Skills and the Durable Skills Advantage Framework to provide a common language for the most in-demand durable skills. With 85% of career success being dependent on durable skills, this framework bridges the gap between the skills students are taught in school and evolving workforce needs.

On a somewhat related note, also see:

Green Workforce Connect and Building Green Pathways with Cynthia Finley — from gettingsmart.com by Mason Pashia

Over the last few years, we’ve been covering New Pathways, which we think of as a framework for school leaders and community members to create supports and systems that set students up for success in what’s next. This might be career exploration, client-connected projects, internships, or entrepreneurial experiences.

But what it really comes down to is connecting learners to real-world experiences and people and helping them articulate the skills that they gain in the process. Along the way, we began to talk a lot about green jobs. Many of the pre-existing pathways in secondary schools point towards CTE programs and trades, which are more in demand than they’ve been in decades.

This coincides with a pivotal moment in the arc of infrastructure redesign and development, one that heavily emphasizes clean energy trajectories and transferable skills. Many of these jobs we refer to as green pathways or requiring some of these green skills.

One leading organization in this space is the Interstate Renewable Energy Council or IREC. I got to sit down with Cynthia Finley, the Vice President of Workforce Strategy at IREC to talk about green pathways and what IREC is doing to increase awareness and exposure of green jobs and skills.

Instructure to be Acquired by KKR for $4.8 Billion [Instructure]

On 07/26/2024, in business, Canvas - and other Instructure-related items, CMS/LMS, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education technology, higher education, IT in HE, K-12 related, law schools, learning ecosystem, United States, universities, vendors, by Daniel Christian

Instructure to be Acquired by KKR for $4.8 Billion — from prnewswire.com

SALT LAKE CITY, July 25, 2024 /PRNewswire/ — Instructure Holdings, Inc. (NYSE: INST) (“Instructure”), a leading learning ecosystem, today announced that it has entered into a definitive agreement to be acquired by investment funds managed by KKR, a leading global investment firm, for $23.60 per share in an all-cash transaction valued at an enterprise value of approximately $4.8 billion. The per-share purchase price represents a premium of 16 percent over Instructure’s unaffected share price of $20.27 as of May 17, 2024, the last trading day prior to media reports regarding a potential transaction. KKR, with participation from Dragoneer Investment Group, will acquire all outstanding shares, including those shares owned by Instructure’s existing majority owner, Thoma Bravo, a leading software investment firm, which took the company public in 2021.

Speaking of edtech-related vendors, also see:

Breaking: 2U files for Chapter 11 Bankruptcy in Prepackaged Deal — from onedtech.philhillaa.com by Phil Hill
Agreements are already in place, and the company may emerge from bankruptcy as soon as September

“Deep Learning: Five New Superpowers of Higher Education” [Klitgaard] + other items re: AI in our learning ecosystems

On 07/19/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, Canvas - and other Instructure-related items, change, changing business models, CMS/LMS, colleges, community colleges, content development, aggregation, repositories, credentialing, digital learning, education, education technology, emerging technologies, engagement / engaging students, experimentation, future, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, interactivity, IT in HE, K-12 related, languages and translation, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning spaces, liberal arts, Natural Language Processing (NLP), personalized/customized learning, platforms, productivity / tips and tricks, professional development, student-related, teachers, teaching & learning, tools, United States, universities, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

What aspects of teaching should remain human? — from hechingerreport.org by Chris Berdik
Even techno optimists hesitate to say teaching is best left to the bots, but there’s a debate about where to draw the line

ATLANTA — Science teacher Daniel Thompson circulated among his sixth graders at Ron Clark Academy on a recent spring morning, spot checking their work and leading them into discussions about the day’s lessons on weather and water. He had a helper: As Thompson paced around the class, peppering them with questions, he frequently turned to a voice-activated AI to summon apps and educational videos onto large-screen smartboards.

When a student asked, “Are there any animals that don’t need water?” Thompson put the question to the AI. Within seconds, an illustrated blurb about kangaroo rats appeared before the class.

Nitta said there’s something “deeply profound” about human communication that allows flesh-and-blood teachers to quickly spot and address things like confusion and flagging interest in real time.

Deep Learning: Five New Superpowers of Higher Education — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
How Deep Learning is Transforming Higher Education

While the traditional model of education is entrenched, emerging technologies like deep learning promise to shake its foundations and usher in an age of personalized, adaptive, and egalitarian education. It is expected to have a significant impact across higher education in several key ways.
…
…deep learning introduces adaptivity into the learning process. Unlike a typical lecture, deep learning systems can observe student performance in real-time. Confusion over a concept triggers instant changes to instructional tactics. Misconceptions are identified early and remediated quickly. Students stay in their zone of proximal development, constantly challenged but never overwhelmed. This adaptivity prevents frustration and stagnation.

InstructureCon 24 Conference Notes — from onedtech.philhillaa.com by Glenda Morgan
Another solid conference from the market leader, even with unclear roadmap

The new stuff: AI
Instructure rolled out multiple updates and improvements – more than last year. These included many AI-based or focused tools and services as well as some functional improvements. I’ll describe the AI features first.

Sal Khan was a surprise visitor to the keynote stage to announce the September availability of the full suite of AI-enabled Khanmigo Teacher Tools for Canvas users. The suite includes 20 tools, such as tools to generate lesson plans and quiz questions and write letters of recommendation. Next year, they plan to roll out tools for students themselves to use.
…
Other AI-based features include.

- Discussion tool summaries and AI-generated responses…
- Translation of inbox messages and discussions…
- Smart search …
- Intelligent Insights…

School 3.0: Reimagining Education in 2026, 2029, and 2034 [Borish]

On 07/19/2024, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, education, education technology, emerging technologies, engagement / engaging students, experimentation, face-to-face, flipping -- inverted learning, future, game-changing environment, heutagogy, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, online learning, online media, online tutoring, pace of change, reinvent, skills, staying relevant, teachers, teaching & learning, United States, vision/possibilities, by Daniel Christian

School 3.0: Reimagining Education in 2026, 2029, and 2034 — from davidborish.com by David Borish
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The landscape of education is on the brink of a profound transformation, driven by rapid advancements in artificial intelligence. This shift was highlighted recently by Andrej Karpathy’s announcement of Eureka Labs, a venture aimed at creating an “AI-native” school. As we look ahead, it’s clear that the integration of AI in education will reshape how we learn, teach, and think about schooling altogether.
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Traditional textbooks will begin to be replaced by interactive, AI-powered learning materials that adapt in real-time to a student’s progress.
…
As we approach 2029, the line between physical and virtual learning environments will blur significantly.

Curriculum design will become more flexible and personalized, with AI systems suggesting learning pathways based on each student’s interests, strengths, and career aspirations.
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The boundaries between formal education and professional development will blur, creating a continuous learning ecosystem.

Students Speak Out: How to Make High Schools Places Where They Want to Learn — from the74million.org by Beth Fertig
Too many high school students complain that school is boring. Students share what makes school enjoyable.

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Excerpts (emphasis DSC):

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Solving chronic absenteeism involves tackling big structural problems like transportation and infrastructure. But we also have to make our schools places where young people want to learn. Too many teens, in particular, had negative feelings about school even before the pandemic. Yale researchers conducting a national survey of high school students found most teens spent their days “tired,” “stressed,” and “bored.” Fewer than 3 in 100 reported feeling interested while in school.

Decades of research prove that students learn more when they experience high levels of academic engagement and social belonging in school.

Students at all four schools experience internships, work-based learning and partnerships with community organizations, which they said make classwork feel more relevant.

Free Sites for Back to School [Restifo]

On 07/19/2024, in animation, art, career development, chemistry, cloud-based computing / apps / other cloud-related, collaboration, communications, content development, aggregation, repositories, creativity, data related items, design, digital audio, digital learning, digital video, education technology, educational games / serious games, Emotion, engagement / engaging students, experimentation, Google, graphics, history, ideas, K-12 related, languages and translation, learning ecosystem, Learning Experience Design, legislatures / government / legal, mathematics, multimedia, music, new media literacies, online media, passions, pedagogy, platforms, play, productivity / tips and tricks, science, student teaching/teacher education, student-related, teachers, teaching & learning, technologies for your home, tools, United States, vendors, Virtual Reality (VR) / worlds / learning, web-based collaboration, writing, youth, by Daniel Christian

Free Sites for Back to School — from techlearning.com by Diana Restifo
Top free and freemium sites for learning

An internet search for free learning resources will likely return a long list that includes some useful sites amid a sea of not-really-free and not-very-useful sites.

To help teachers more easily find the best free and freemium sites they can use in their classrooms and curricula, I’ve curated a list that describes the top free/freemium sites for learning.

In some cases, Tech & Learning has reviewed the site in detail, and those links are included so readers can find out more about how to make the best use of the online materials. In all cases, the websites below provide valuable educational tools, lessons, and ideas, and are worth exploring further.

Two bonus postings here! 🙂

Where Is K-12 Enrollment Headed? Population Trends, by the Numbers — from edweek.org by Mark Lieberman
America is projected to have 3 million fewer K-12 students attending public school by 2031 than it did in 2013.
How to Kill Student Curiosity in 5 Steps (and What to Do Instead) — from edweek.org by Olivia Odileke
The unintentional missteps teachers and administrators are making
I’ve observed five major ways we’re unintentionally stifling curiosity and issue a call to action for educators, administrators, and policymakers to join the curiosity revolution:

How AI will change education [Woodbury], Introducing Eureka Labs [Karpathy] + numerous other items re: AI in our learning ecosystems

On 07/18/2024, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, bots, career development, change, changing business models, colleges, community colleges, computer science, digital learning, education, education technology, emerging technologies, Europe, experimentation, faculty/staff, future, future of higher education, game-changing environment, generational differences, heutagogy, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Open AI, platforms, productivity / tips and tricks, professional development, programming, student-related, teachers, teaching & learning, tools, UK, United States, universities, vendors, writing, by Daniel Christian

Introducing Eureka Labs — “We are building a new kind of school that is AI native.” — by Andrej Karpathy, Previously Director of AI @ Tesla, founding team @ OpenAI

However, with recent progress in generative AI, this learning experience feels tractable. The teacher still designs the course materials, but they are supported, leveraged and scaled with an AI Teaching Assistant who is optimized to help guide the students through them. This Teacher + AI symbiosis could run an entire curriculum of courses on a common platform. If we are successful, it will be easy for anyone to learn anything, expanding education in both reach (a large number of people learning something) and extent (any one person learning a large amount of subjects, beyond what may be possible today unassisted).

?? Excited to share that I am starting an AI+Education company called Eureka Labs.
The announcement:

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We are Eureka Labs and we are building a new kind of school that is AI native.

How can we approach an ideal experience for learning something new? For example, in the case… pic.twitter.com/RHPkqdjB8R

— Andrej Karpathy (@karpathy) July 16, 2024

After Tesla and OpenAI, Andrej Karpathy’s startup aims to apply AI assistants to education — from techcrunch.com by Rebecca Bellan

Andrej Karpathy, former head of AI at Tesla and researcher at OpenAI, is launching Eureka Labs, an “AI native” education platform. In tech speak, that usually means built from the ground up with AI at its core. And while Eureka Labs’ AI ambitions are lofty, the company is starting with a more traditional approach to teaching.

San Francisco-based Eureka Labs, which Karpathy registered as an LLC in Delaware on June 21, aims to leverage recent progress in generative AI to create AI teaching assistants that can guide students through course materials.

What does it mean for students to be AI-ready? — from timeshighereducation.com by David Joyner
Not everyone wants to be a computer scientist, a software engineer or a machine learning developer. We owe it to our students to prepare them with a full range of AI skills for the world they will graduate into, writes David Joyner

We owe it to our students to prepare them for this full range of AI skills, not merely the end points. The best way to fulfil this responsibility is to acknowledge and examine this new category of tools. More and more tools that students use daily – word processors, email, presentation software, development environments and more – have AI-based features. Practising with these tools is a valuable exercise for students, so we should not prohibit that behaviour. But at the same time, we do not have to just shrug our shoulders and accept however much AI assistance students feel like using.

Teachers say AI usage has surged since the school year started — from eschoolnews.com by Laura Ascione
Half of teachers report an increase in the use of AI and continue to seek professional learning

Fifty percent of educators reported an increase in AI usage, by both students and teachers, over the 2023–24 school year, according to The 2024 Educator AI Report: Perceptions, Practices, and Potential, from Imagine Learning, a digital curriculum solutions provider.

The report offers insight into how teachers’ perceptions of AI use in the classroom have evolved since the start of the 2023–24 school year.

OPINION: What teachers call AI cheating, leaders in the workforce might call progress — from hechingerreport.org by C. Edward Waston and Jose Antonio Bowen
Authors of a new guide explore what AI literacy might look like in a new era

Excerpt (emphasis DSC):

But this very ease has teachers wondering how we can keep our students motivated to do the hard work when there are so many new shortcuts. Learning goals, curriculums, courses and the way we grade assignments will all need to be reevaluated.

The new realities of work also must be considered. A shift in employers’ job postings rewards those with AI skills. Many companies report already adopting generative AI tools or anticipate incorporating them into their workflow in the near future.

A core tension has emerged: Many teachers want to keep AI out of our classrooms, but also know that future workplaces may demand AI literacy.

What we call cheating, business could see as efficiency and progress.

It is increasingly likely that using AI will emerge as an essential skill for students, regardless of their career ambitions, and that action is required of educational institutions as a result.

Teaching Writing With AI Without Replacing Thinking: 4 Tips — from by Erik Ofgang
AI has a lot of potential for writing students, but we can’t let it replace the thinking parts of writing, says writing professor Steve Graham

Reconciling these two goals — having AI help students learn to write more efficiently without hijacking the cognitive benefits of writing — should be a key goal of educators. Finding the ideal balance will require more work from both researchers and classroom educators, but Graham shares some initial tips for doing this currently.

Why I ban AI use for writing assignments — from timeshighereducation.com by James Stacey Taylor
Students may see handwriting essays in class as a needlessly time-consuming approach to assignments, but I want them to learn how to engage with arguments, develop their own views and convey them effectively, writes James Stacey Taylor

Could they use AI to generate objections to the arguments they read? Of course. AI does a good job of summarising objections to Singer’s view. But I don’t want students to parrot others’ objections. I want them to think of objections themselves.

Could AI be useful for them in organising their exegesis of others’ views and their criticisms of them? Yes. But, again, part of what I want my students to learn is precisely what this outsources to the AI: how to organise their thoughts and communicate them effectively.

How AI Will Change Education — from digitalnative.tech by Rex Woodbury
Predicting Innovation in Education, from Personalized Learning to the Downfall of College

This week explores how AI will bleed into education, looking at three segments of education worth watching, then examining which business models will prevail.

Personalized Learning and Tutoring
Teacher Tools
Alternatives to College
Final Thoughts: Business Models and Why Education Matters

New Guidance from TeachAI and CSTA Emphasizes Computer Science Education More Important than Ever in an Age of AI — from csteachers.org by CSTA
The guidance features new survey data and insights from teachers and experts in computer science (CS) and AI, informing the future of CS education.

SEATTLE, WA – July 16, 2024 – Today, TeachAI, led by Code.org, ETS, the International Society of Technology in Education (ISTE), Khan Academy, and the World Economic Forum, launches a new initiative in partnership with the Computer Science Teachers Association (CSTA) to support and empower educators as they grapple with the growing opportunities and risks of AI in computer science (CS) education.
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The briefs draw on early research and insights from CSTA members, organizations in the TeachAI advisory committee, and expert focus groups to address common misconceptions about AI and offer a balanced perspective on critical issues in CS education, including:

Why is it Still Important for Students to Learn to Program?
How Are Computer Science Educators Teaching With and About AI?
How Can Students Become Critical Consumers and Responsible Creators of AI?

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