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).


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.

  1. Personalized Learning and Tutoring
  2. Teacher Tools
  3. Alternatives to College
  4. 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.

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?
 

What to Know About Buying A Projector for School — from by Luke Edwards
Buy the right projector for school with these helpful tips and guidance.

Picking the right projector for school can be a tough decision as the types and prices range pretty widely. From affordable options to professional grade pricing, there are many choices. The problem is that the performance is also hugely varied. This guide aims to be the solution by offering all you need to know about buying the right projector for school where you are.

Luke covers a variety of topics including:

  • Types of projectors
  • Screen quality
  • Light type
  • Connectivity
  • Pricing

From DSC:
I posted this because Luke covered a variety of topics — and if you’re set on going with a projector, this is a solid article. But I hesitated to post this, as I’m not sure of the place that projectors will have in the future of our learning spaces. With voice-enabled apps and appliances continuing to be more prevalent — along with the presence of AI-based human-computer interactions and intelligent systems — will projectors be the way to go? Will enhanced interactive whiteboards be the way to go? Will there be new types of displays? I’m not sure. Time will tell.

 

Effective Transitions for Preschool Students — from edutopia.org by Connie Morris
Teachers can use fun activities to help young learners ease into daily classroom routines.

We can help students deal with change by using transitions between activities as an opportunity to strengthen their executive functioning, resilience, and independence. Executive functioning development grows cognitive flexibility, working memory, and self-control. These are skills that require guidance and practice, as they do not come naturally.

By using positive language, modeling and co-regulation, we encourage children to be actively involved in planning and making choices. These important life-long skills also increase their social emotional well-being. Our support and intervention can be adjusted based on a child’s skill set and progress.


Tips for Promoting Calm in Preschool — from edutopia.org by Sasha Michaud
These strategies help students regulate their emotions, both individually and as a group

Here are some strategies for helping groups regain their focus during transitions:

  • Whisper: “If you can hear my voice, put your fingers on your nose,” and then wait to see how many children hear and join. Repeat with another body part, sometimes quieter or slightly louder to gain interest.
  • Ask: ”I’m thinking of an animal (or food, plant, teacher, child, etc.),” and then give three clues. The children listen closely and wait for three fingers to go up (one with each clue) and then guess. You could have them practice wiggling their fingers, or raising their hands to guess.
  • Sing: “I’ll put my tippy tappy fingers on myyyy… forehead!“ As you sing this body parts song, tap your fingers along different body parts and sing, sort of like another common children’s song, but do random body parts to engage the children as well as ground them in their bodies.

These games have saved me from getting overwhelmed countless times.


Using AI to Support Vocabulary Lessons — from edutopia.org by Monica Burns
Seeing AI-generated images of the words they’re learning can help boost elementary students’ engagement.

You can use a chatbot like Gemini or ChatGPT to gather a list of ideas for an upcoming lesson, but let’s take a look at how you can use generative AI tools to create images that help bring vocabulary to life. It’s a topic I’ve covered on my blog and podcast, and I recently had the chance to work with elementary educators in New York to put these ideas into action in their classrooms.
.

 


The race against time to reinvent lawyers — from jordanfurlong.substack.com by Jordan Furlong
Our legal education and licensing systems produce one kind of lawyer. The legal market of the near future will need another kind. If we can’t close this gap fast, we’ll have a very serious problem.

Excerpt (emphasis DSC):

Lawyers will still need competencies like legal reasoning and analysis, statutory and contractual interpretation, and a range of basic legal knowledge. But it’s unhelpful to develop these skills through activities that lawyers won’t be performing much longer, while neglecting to provide them with other skills and prepare them for other situations that they will face. Our legal education and licensing systems are turning out lawyers whose competence profiles simply won’t match up with what people will need lawyers to do.

A good illustration of what I mean can be found in an excellent recent podcast from the Practising Law Institute, “Shaping the Law Firm Associate of the Future.” Over the course of the episode, moderator Jennifer Leonard of Creative Lawyers asked Professors Alice Armitage of UC Law San Francisco and Heidi K. Brown of New York Law School to identify some of the competencies that newly called lawyers and law firm associates are going to need in future. Here’s some of what they came up with:

  • Agile, nimble, extrapolative thinking
  • Collaborative, cross-disciplinary learning
  • Entrepreneurial, end-user-focused mindsets
  • Generative AI knowledge (“Their careers will be shaped by it”)
  • Identifying your optimal individual workflow
  • Iteration, learning by doing, and openness to failure
  • Leadership and interpersonal communication skills
  • Legal business know-how, including client standards and partner expectations
  • Receiving and giving feedback to enhance effectiveness

Legal Tech for Legal Departments – What In-House Lawyers Need to Know — from legal.thomsonreuters.com by Sterling Miller

Whatever the reason, you must understand the problem inside and out. Here are the key points to understanding your use case:

  • Identify the problem.
  • What is the current manual process to solve the problem?
  • Is there technology that will replace this manual process and solve the problem?
  • What will it cost and do you have (or can you get) the budget?
  • Will the benefits of the technology outweigh the cost? And how soon will those benefits pay off the cost? In other words, what is the return on investment?
  • Do you have the support of the organization to buy it (inside the legal department and elsewhere, e.g., CFO, CTO)?

2024-05-13: Of Legal AI — from emergentbehavior.co

Long discussion with a senior partner at a major Bay Area law firm:

Takeaways

A) They expect legal AI to decimate the profession…
B) Unimpressed by most specific legal AI offerings…
C) Generative AI error rates are acceptable even at 10–20%…
D) The future of corporate law is in-house…
E) The future of law in general?…
F) Of one large legal AI player…


2024 Legal Technology Survey Results — from lexology.com

Additional findings of the annual survey include:

  • 77 percent of firms have a formal technology strategy in place
  • Interest and intentions regarding generative A.I. remain high, with almost 80 percent of participating firms expecting to leverage it within the next five years. Many have either already begun or are planning to undertake data hygiene projects as a precursor to using generative A.I. and other automation solutions. Although legal market analysts have hypothesized that proprietary building of generative A.I. solutions remain out of reach for mid-sized firms, several Meritas survey respondents are making traction. Many other firms are also licensing third-party generative A.I. solutions.
  • The survey showed strong technology progression among several Meritas member firms, with most adopting a tech stack of core, foundational systems of infrastructure technology and adding cloud-based practice management, document management, time, billing, and document drafting applications.
  • Most firms reported increased adoption and utilization of options already available within their current core systems, such as Microsoft Office 365 Teams, SharePoint, document automation, and other native functionalities for increasing efficiencies; these functions were used more often in place of dedicated purpose-built solutions such as comparison and proofreading tools.
  • The legal technology market serving Meritas’ member firms continues to be fractured, with very few providers emerging as market leaders.

AI Set to Save Professionals 12 Hours Per Week by 2029 — from legalitprofessionals.com

Thomson Reuters, a global content and technology company, today released its 2024 Future of Professionals report, an annual survey of more than 2,200 professionals working across legal, tax, and risk & compliance fields globally. Respondents predicted that artificial intelligence (AI) has the potential to save them 12 hours per week in the next five years, or four hours per week over the upcoming year – equating to 200 hours annually.

This timesaving potential is the equivalent productivity boost of adding an extra colleague for every 10 team members on staff. Harnessing the power of AI across various professions opens immense economic opportunities. For a U.S. lawyer, this could translate to an estimated $100,000 in additional billable hours.*

 




 


Bill Gates Reveals Superhuman AI Prediction — from youtube.com by Rufus Griscom, Bill Gates, Andy Sack, and Adam Brotman

This episode of the Next Big Idea podcast, host Rufus Griscom and Bill Gates are joined by Andy Sack and Adam Brotman, co-authors of an exciting new book called “AI First.” Together, they consider AI’s impact on healthcare, education, productivity, and business. They dig into the technology’s risks. And they explore its potential to cure diseases, enhance creativity, and usher in a world of abundance.

Key moments:

00:05 Bill Gates discusses AI’s transformative potential in revolutionizing technology.
02:21 Superintelligence is inevitable and marks a significant advancement in AI technology.
09:23 Future AI may integrate deeply as cognitive assistants in personal and professional life.
14:04 AI’s metacognitive advancements could revolutionize problem-solving capabilities.
21:13 AI’s next frontier lies in developing human-like metacognition for sophisticated problem-solving.
27:59 AI advancements empower both good and malicious intents, posing new security challenges.
28:57 Rapid AI development raises questions about controlling its global application.
33:31 Productivity enhancements from AI can significantly improve efficiency across industries.
35:49 AI’s future applications in consumer and industrial sectors are subjects of ongoing experimentation.
46:10 AI democratization could level the economic playing field, enhancing service quality and reducing costs.
51:46 AI plays a role in mitigating misinformation and bridging societal divides through enhanced understanding.


OpenAI Introduces CriticGPT: A New Artificial Intelligence AI Model based on GPT-4 to Catch Errors in ChatGPT’s Code Output — from marktechpost.com

The team has summarized their primary contributions as follows.

  1. The team has offered the first instance of a simple, scalable oversight technique that greatly assists humans in more thoroughly detecting problems in real-world RLHF data.
  1. Within the ChatGPT and CriticGPT training pools, the team has discovered that critiques produced by CriticGPT catch more inserted bugs and are preferred above those written by human contractors.
  1. Compared to human contractors working alone, this research indicates that teams consisting of critic models and human contractors generate more thorough criticisms. When compared to reviews generated exclusively by models, this partnership lowers the incidence of hallucinations.
  1. This study provides Force Sampling Beam Search (FSBS), an inference-time sampling and scoring technique. This strategy well balances the trade-off between minimizing bogus concerns and discovering genuine faults in LLM-generated critiques.

Character.AI now allows users to talk with AI avatars over calls — from techcrunch.com by Ivan Mehta

a16z-backed Character.AI said today that it is now allowing users to talk to AI characters over calls. The feature currently supports multiple languages, including English, Spanish, Portuguese, Russian, Korean, Japanese and Chinese.

The startup tested the calling feature ahead of today’s public launch. During that time, it said that more than 3 million users had made over 20 million calls. The company also noted that calls with AI characters can be useful for practicing language skills, giving mock interviews, or adding them to the gameplay of role-playing games.


Google Translate Just Added 110 More Languages — from lifehacker.com by
You can now use the app to communicate in languages you’ve never even heard of.

Google Translate can come in handy when you’re traveling or communicating with someone who speaks another language, and thanks to a new update, you can now connect with some 614 million more people. Google is adding 110 new languages to its Translate tool using its AI PaLM 2 large language model (LLM), which brings the total of supported languages to nearly 250. This follows the 24 languages added in 2022, including Indigenous languages of the Americas as well as those spoken across Africa and central Asia.




Listen to your favorite books and articles voiced by Judy Garland, James Dean, Burt Reynolds and Sir Laurence Olivier — from elevenlabs.io
ElevenLabs partners with estates of iconic stars to bring their voices to the Reader App

 

A New Digital Divide: Student AI Use Surges, Leaving Faculty Behind— from insidehighered.com by Lauren Coffey
While both students and faculty have concerns with generative artificial intelligence, two new reports show a divergence in AI adoption. 

Meanwhile, a separate survey of faculty released Thursday by Ithaka S+R, a higher education consulting firm, showcased that faculty—while increasingly familiar with AI—often do not know how to use it in classrooms. Two out of five faculty members are familiar with AI, the Ithaka report found, but only 14 percent said they are confident in their ability to use AI in their teaching. Just slightly more (18 percent) said they understand the teaching implications of generative AI.

“Serious concerns about academic integrity, ethics, accessibility, and educational effectiveness are contributing to this uncertainty and hostility,” the Ithaka report said.

The diverging views about AI are causing friction. Nearly a third of students said they have been warned to not use generative AI by professors, and more than half (59 percent) are concerned they will be accused of cheating with generative AI, according to the Pearson report, which was conducted with Morning Consult and surveyed 800 students.


What teachers want from AI — from hechingerreport.org by Javeria Salman
When teachers designed their own AI tools, they built math assistants, tools for improving student writing, and more

An AI chatbot that walks students through how to solve math problems. An AI instructional coach designed to help English teachers create lesson plans and project ideas. An AI tutor that helps middle and high schoolers become better writers.

These aren’t tools created by education technology companies. They were designed by teachers tasked with using AI to solve a problem their students were experiencing.

Over five weeks this spring, about 300 people – teachers, school and district leaders, higher ed faculty, education consultants and AI researchers – came together to learn how to use AI and develop their own basic AI tools and resources. The professional development opportunity was designed by technology nonprofit Playlab.ai and faculty at the Relay Graduate School of Education.


The Comprehensive List of Talks & Resources for 2024 — from aiedusimplified.substack.com by Lance Eaton
Resources, talks, podcasts, etc that I’ve been a part of in the first half of 2024

Resources from things such as:

  • Lightning Talks
  • Talks & Keynotes
  • Workshops
  • Podcasts & Panels
  • Honorable Mentions

Next-Gen Classroom Observations, Powered by AI — from educationnext.org by Michael J. Petrilli
The use of video recordings in classrooms to improve teacher performance is nothing new. But the advent of artificial intelligence could add a helpful evaluative tool for teachers, measuring instructional practice relative to common professional goals with chatbot feedback.

Multiple companies are pairing AI with inexpensive, ubiquitous video technology to provide feedback to educators through asynchronous, offsite observation. It’s an appealing idea, especially given the promise and popularity of instructional coaching, as well as the challenge of scaling it effectively (see “Taking Teacher Coaching To Scale,” research, Fall 2018).

Enter AI. Edthena is now offering an “AI Coach” chatbot that offers teachers specific prompts as they privately watch recordings of their lessons. The chatbot is designed to help teachers view their practice relative to common professional goals and to develop action plans to improve.

To be sure, an AI coach is no replacement for human coaching.


Personalized AI Tutoring as a Social Activity: Paradox or Possibility? — from er.educause.edu by Ron Owston
Can the paradox between individual tutoring and social learning be reconciled though the possibility of AI?

We need to shift our thinking about GenAI tutors serving only as personal learning tools. The above activities illustrate how these tools can be integrated into contemporary classroom instruction. The activities should not be seen as prescriptive but merely suggestive of how GenAI can be used to promote social learning. Although I specifically mention only one online activity (“Blended Learning”), all can be adapted to work well in online or blended classes to promote social interaction.


Stealth AI — from higherai.substack.com by Jason Gulya (a Professor of English at Berkeley College) talks to Zack Kinzler
What happens when students use AI all the time, but aren’t allowed to talk about it?

In many ways, this comes back to one of my general rules: You cannot ban AI in the classroom. You can only issue a gag rule.

And if you do issue a gag rule, then it deprives students of the space they often need to make heads and tails of this technology.

We need to listen to actual students talking about actual uses, and reflecting on their actual feelings. No more abstraction.

In this conversation, Jason Gulya (a Professor of English at Berkeley College) talks to Zack Kinzler about what students are saying about Artificial Intelligence and education.


What’s New in Microsoft EDU | ISTE Edition June 2024 — from techcommunity.microsoft.com

Welcome to our monthly update for Teams for Education and thank you so much for being part of our growing community! We’re thrilled to share over 20 updates and resources and show them in action next week at ISTELive 24 in Denver, Colorado, US.

Copilot for Microsoft 365 – Educator features
Guided Content Creation
Coming soon to Copilot for Microsoft 365 is a guided content generation experience to help educators get started with creating materials like assignments, lesson plans, lecture slides, and more. The content will be created based on the educator’s requirements with easy ways to customize the content to their exact needs.
Standards alignment and creation
Quiz generation through Copilot in Forms
Suggested AI Feedback for Educators
Teaching extension
To better support educators with their daily tasks, we’ll be launching a built-in Teaching extension to help guide them through relevant activities and provide contextual, educator-based support in Copilot.
Education data integration

Copilot for Microsoft 365 – Student features
Interactive practice experiences
Flashcards activity
Guided chat activity
Learning extension in Copilot for Microsoft 365


New AI tools for Google Workspace for Education — from blog.google by Akshay Kirtikar and Brian Hendricks
We’re bringing Gemini to teen students using their school accounts to help them learn responsibly and confidently in an AI-first future, and empowering educators with new tools to help create great learning experiences.

 

Overcoming the ‘Entry Level’ Catch-22 in the Age of AI — from reachcapital.com by Shauntel Garvey

The New Entry-Level Job (and Skill)
In a world where AI can perform entry-level tasks, and employers are prioritizing experienced candidates, how can recent college graduates and job seekers find a job?

AI is the new entry-level skill. As AI permeates every industry, it’s becoming increasingly common for employers to ask candidates how they think about applying AI to their jobs. (We’ve started asking this here at Reach ourselves.) Even if the job is not technical and doesn’t list AI as a skill, candidates would do well to prepare. Journalists, for instance, are warming up to using AI to transcribe interviews and suggest headlines.

So it’s not just AI that may take your entry-level role, but rather the person who knows how to use it. Candidates who are bracing for this technological shift and proactively building their AI literacy and expertise will have a leg up.


On a related note, also see:

Make AI Literacy a Priority With These Free Resources — from gettingsmart.com by Tom Vander Ark

Key Points

  • Leading school systems are incorporating AI tools such as tutoring, chatbots, and teacher assistants, and promoting AI literacy among teachers and students to adapt to the evolving role of AI in education.

 



 

Homeschoolers Embrace AI, Even As Many Educators Keep It at Arms’ Length — from .the74million.org by Greg Toppo
Ed tech expert: Once you persuade parents & kids to use AI, ‘There’s nobody else you have to convince.’

Then came ChatGPT, Open AI’s widely used artificial intelligence bot. For Fender, it was a no-brainer to query it for help developing deep opening questions.

The chatbot and other AI tools like it have found an eager audience among homeschoolers and microschoolers, with parents and teachers readily embracing it as a brainstorming and management tool, even as public schools take a more cautious approach, often banning it outright.

A few observers say AI may even make homeschooling more practical, opening it up to busy parents who might have balked previously.

“Not everyone is using it, but some are very excited about it,” said Amir Nathoo, co-founder of Outschool, an online education platform.

 

Brazil hires OpenAI to cut costs of court battles — from reuters.com by Marcela Ayres and Bernardo Caram

BRASILIA, June 10 (Reuters) – Brazil’s government is hiring OpenAI to expedite the screening and analysis of thousands of lawsuits using artificial intelligence (AI), trying to avoid costly court losses that have weighed on the federal budget.

The AI service will flag to government the need to act on lawsuits before final decisions, mapping trends and potential action areas for the solicitor general’s office (AGU).


Gen AI Cut Lawyers’ Drafting Time in Half, UK’s Ashurst Says — from news.bloomberglaw.com by Isabel Gottlieb

The firm’s findings included:

  • Using generative AI tools, lawyers saved 45% of the time they said it would otherwise have taken them to write a first draft of a legal brief—about 2.5 hours saved per briefing draft, the firm said in a release. They also saved 80% of the time it would have taken them to draft UK corporate filings “requiring review and extraction of information from articles of association”; and 59% of the time it would have taken them to draft reports about industries and sectors using company filings.
  • Output produced by generative AI was at least as accurate, or legally correct, as a human lawyer’s first draft in 67% of cases. Human output had higher average scores for accuracy, and the AI content had greater variations than human-created content in how accurate it was.
  • The panel was unable to identify half of the AI-created output as coming from AI, but it made no mistakes on identifying human-created content.

 

 

How Learning Designers Are Using AI for Analysis — from drphilippahardman.substack.com by Dr. Philippa Hardman
A practical guide on how to 10X your analysis process using free AI tools, based on real use cases

There are three key areas where AI tools make a significant impact on how we tackle the analysis part of the learning design process:

  1. Understanding the why: what is the problem this learning experience solves? What’s the change we want to see as a result?
  2. Defining the who: who do we need to target in order to solve the problem and achieve the intended goal?
  3. Clarifying the what: given who our learners are and the goal we want to achieve, what concepts and skills do we need to teach?

PROOF POINTS: Teens are looking to AI for information and answers, two surveys show — from hechingerreport.org by Jill Barshay
Rapidly evolving usage patterns show Black, Hispanic and Asian American youth are often quick to adopt the new technology

Two new surveys, both released this month, show how high school and college-age students are embracing artificial intelligence. There are some inconsistencies and many unanswered questions, but what stands out is how much teens are turning to AI for information and to ask questions, not just to do their homework for them. And they’re using it for personal reasons as well as for school. Another big takeaway is that there are different patterns by race and ethnicity with Black, Hispanic and Asian American students often adopting AI faster than white students.


AI Instructional Design Must Be More Than a Time Saver — from marcwatkins.substack.com by Marc Watkins

We’ve ceded so much trust to digital systems already that most simply assume a tool is safe to use with students because a company published it. We don’t check to see if it is compliant with any existing regulations. We don’t ask what powers it. We do not question what happens to our data or our student’s data once we upload it. We likewise don’t know where its information came from or how it came to generate human-like responses. The trust we put into these systems is entirely unearned and uncritical.

The allure of these AI tools for teachers is understandable—who doesn’t want to save time on the laborious process of designing lesson plans and materials? But we have to ask ourselves what is lost when we cede the instructional design process to an automated system without critical scrutiny.

From DSC:
I post this to be a balanced publisher of information. I don’t agree with everything Marc says here, but he brings up several solids points.


What does Disruptive Innovation Theory have to say about AI? — from christenseninstitute.org by Michael B. Horn

As news about generative artificial intelligence (GenAI) continually splashes across social media feeds, including how  ChatGPT 4o can help you play Rock, Paper, Scissors with a friend, breathtaking pronouncements about GenAI’s “disruptive” impact aren’t hard to find.

It turns out that it doesn’t make much sense to talk about GenAI as being “disruptive” in and of itself.

Can it be part of a disruptive innovation? You bet.

But much more important than just the AI technology in determining whether something is disruptive is the business model in which the AI is used—and its competitive impact on existing products and services in different markets.


On a somewhat note, also see:

National summit explores how digital education can promote deeper learning — from digitaleducation.stanford.edu by Jenny Robinson; via Eric Kunnen on Linkedin.com
The conference, held at Stanford, was organized to help universities imagine how digital innovation can expand their reach, improve learning, and better serve the public good.

The summit was organized around several key questions: “What might learning design, learning technologies, and educational media look like in three, five, or ten years at our institutions? How will blended and digital education be poised to advance equitable, just, and accessible education systems and contribute to the public good? What structures will we need in place for our teams and offices?”

 

Daniel Christian: My slides for the Educational Technology Organization of Michigan’s Spring 2024 Retreat

From DSC:
Last Thursday, I presented at the Educational Technology Organization of Michigan’s Spring 2024 Retreat. I wanted to pass along my slides to you all, in case they are helpful to you.

Topics/agenda:

  • Topics & resources re: Artificial Intelligence (AI)
    • Top multimodal players
    • Resources for learning about AI
    • Applications of AI
    • My predictions re: AI
  • The powerful impact of pursuing a vision
  • A potential, future next-gen learning platform
  • Share some lessons from my past with pertinent questions for you all now
  • The significant impact of an organization’s culture
  • Bonus material: Some people to follow re: learning science and edtech

 

Education Technology Organization of Michigan -- ETOM -- Spring 2024 Retreat on June 6-7

PowerPoint slides of Daniel Christian's presentation at ETOM

Slides of the presentation (.PPTX)
Slides of the presentation (.PDF)

 


Plus several more slides re: this vision.

 

AI Policy 101: a Beginners’ Framework — from drphilippahardman.substack.com by Dr. Philippa Hardman
How to make a case for AI experimentation & testing in learning & development


6 AI Tools Recommended By Teachers That Aren’t ChatGPT — from forbes.com by Dan Fitzpatrick

Here are six AI tools making waves in classrooms worldwide:

  • Brisk Teaching
  • SchoolAI
  • Diffit
  • Curipod
  • Skybox by Blockade Labs in ThingLink
  • Ideogram

With insights from educators who are leveraging their potential, let’s explore them in more detail.


AI Is Speeding Up L&D But Are We Losing the Learning? — from learningguild.com by Danielle Wallace

The role of learning & development
Given these risks, what can L&D professionals do to ensure generative AI contributes to effective learning? The solution lies in embracing the role of trusted learning advisors, guiding the use of AI tools in a way that prioritizes achieving learning outcomes over only speed. Here are three key steps to achieve this:

1. Playtest and Learn About AI
2. Set the Direction for AI to Be Learner-Centered…
3. Become Trusted Learning Advisors…


Some other tools to explore:

Descript: If you can edit text, you can edit videos. — per Bloomberg’s Vlad Savov
Descript is the AI-powered, fully featured, end-to-end video editor that you already know how to use.

A video editor that works like docs and slides
No need to learn a new tool — Descript works like the tools you’ve already learned.

Audeze | Filter — per Bloomberg’s Vlad Savov


AI Chatbots in Schools Findings from a Poll of K-12 Teachers, Students, Parents, and College Undergraduates — from Impact Research; via Michael Spencer and Lily Lee

Key Findings

  • In the last year, AI has become even more intertwined with our education system. More teachers, parents, and students are aware of it and have used it themselves on a regular basis. It is all over our education system today.
  • While negative views of AI have crept up over the last year, students, teachers, and parents feel very positive about it in general. On balance they see positive uses for the technology in school, especially if they have used it themselves.
  • Most K-12 teachers, parents, and students don’t think their school is doing much about AI, despite its widespread use. Most say their school has no policy on it, is doing nothing to offer desired teacher training, and isn’t meeting the demand of students who’d like a career in a job that will need AI.
  • The AI vacuum in school policy means it is currently used “unauthorized,” while instead people want policies that encourage AI. Kids, parents, and teachers are figuring it out on their own/without express permission, whereas all stakeholders would rather have a policy that explicitly encourages AI from a thoughtful foundation.

The Value of AI in Today’s Classrooms — from waltonfamilyfoundation.org

There is much discourse about the rise and prevalence of AI in education and beyond. These debates often lack the perspectives of key stakeholders – parents, students and teachers.

In 2023, the Walton Family Foundation commissioned the first national survey of teacher and student attitudes toward ChatGPT. The findings showed that educators and students embrace innovation and are optimistic that AI can meaningfully support traditional instruction.

A new survey conducted May 7-15, 2024, showed that knowledge of and support for AI in education is growing among parents, students and teachers. More than 80% of each group says it has had a positive impact on education.

 

 

 

Apple Intelligence: every new AI feature coming to the iPhone and Mac — from theverge.com by Wes Davis

Apple announced “Apple Intelligence” at WWDC 2024, its name for a new suite of AI features for the iPhone, Mac, and more. Starting later this year, Apple is rolling out what it says is a more conversational Siri, custom, AI-generated “Genmoji,” and GPT-4o access that lets Siri turn to OpenAI’s chatbot when it can’t handle what you ask it for.

Apple jumps into the AI arms race with OpenAI deal — from washingtonpost.com by Gerrit De Vynck
The iPhone maker has mostly stayed on the sidelines as the tech industry goes wild for AI. Not anymore.

SAN FRANCISCO — Apple officially launched itself into the artificial intelligence arms race, announcing a deal with ChatGPT maker OpenAI to use the company’s technology in its products and showing off a slew of its own new AI features.

The announcements, made at the tech giant’s annual Worldwide Developers Conference on Monday in Cupertino, Calif., are aimed at helping the tech giant keep up with competitors such as Google and Microsoft, which have boasted in recent months that AI makes their phones, laptops and software better than Apple’s. In addition to Apple’s own homegrown AI tech, the company’s phones, computers and iPads will also have ChatGPT built in “later this year,” a huge validation of the importance of the highflying start-up’s tech.

Apple Intelligence: AI for the rest of us. — from apple.com

  • Built into your iPhone, iPad, and Mac to help you write, express yourself, and get things done effortlessly.
  • Draws on your personal context while setting a brand-new standard for privacy in AI.

Introducing Apple Intelligence, the personal intelligence system that puts powerful generative models at the core of iPhone, iPad, and Mac — from apple.com
Setting a new standard for privacy in AI, Apple Intelligence understands personal context to deliver intelligence that is helpful and relevant

Apple doubles down on artificial intelligence, announcing partnership with OpenAI — from npr.org by Lola Murti and Dara Kerr

The highly anticipated AI partnership is the first of its kind for Apple, which has been regarded by analysts as slower to adopt artificial intelligence than other technology companies such as Microsoft and Google.

The deal allows Apple’s millions of users to access technology from OpenAI, one of the highest-profile artificial intelligence companies of recent years. OpenAI has already established partnerships with a variety of technology and publishing companies, including a multibillion-dollar deal with Microsoft.

 

The real deal here is that Apple is literally putting AI into the hands of >1B people, most of whom will probably be using AI for the 1st time. And it’s delivering AI that’s actually useful (forget those Genmojis, we’re talking about implanting ChatGPT-4o’s brain into Apple devices).

Noah Edelman (source)

Here’s everything Apple announced at the WWDC 2024 keynote, including Apple Intelligence, Siri makeover — from techcrunch.com by Christine Hall

It’s WWDC 2024 keynote time! Each year Apple kicks off its Worldwide Developers Conference with a few hours of just straight announcements, like the long-awaited Apple Intelligence and a makeover for smart AI assistant, Siri. We expected much of them to revolve around the company’s artificial intelligence ambitions (and here), and Apple didn’t disappoint. We also bring you news about Vision Pro and lots of feature refreshes.

Here’s how to watch the archive of WWDC 2024.


Why Gamma is great for presentations — from Jeremy Caplan

Gamma has become one of my favorite new creativity tools. You can use it like Powerpoint or Google Slides, adding text and images to make impactful presentations. It lets you create vertical, square or horizontal slides. You can embed online content to make your deck stand out with videos, data or graphics. You can even use it to make quick websites.

Its best feature, though, is an easy-to-use application of AI. The AI will learn from any document you import, or you can use a text prompt to create a strong deck or site instantly.
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107 Up-to-Date ChatGPT Statistics & User Numbers [April 2024] — from nerdynav.com

Top ChatGPT Statistics

  • ChatGPT has 180.5 million users out of which 100 million users are active weekly.
  • In January 2024, ChatGPT got 2.3 billion website visits and 2 million developers are using its API.
  • The highest percentage of ChatGPT users belong to USA (46.75%), followed by India (5.47%). ChatGPT is banned in 7 countries including Russia and China.
  • OpenAI’s projected revenue from ChatGPT is $2billion in 2024.
  • Running ChatGPT costs OpenAI around $700,000 daily.
  • Sam Altman is seeking $7 trillion for a global AI chip project while Open AI is also listed as a major shareholder in Reddit.
  • ChatGPT offers a free version with GPT-3.5 and a Plus version with GPT-4, which is 40% more accurate and 82% safer costing $20 per month.
  • ChatGPT is being used for automation, education, coding, data-analysis, writing, etc.
  • 43% of college students and 80% of the Fortune 500 companies are using ChatGPT.
  • A 2023 study found 25% of US companies surveyed saved $50K-$70K using ChatGPT, while 11% saved over $100K.
 
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