Impact of Missed Special Ed. Evaluations Could Echo for Years — from edweek.org by Evie Blad

The practical consequences for individual students are significant: students with undiagnosed dyslexia lacked needed supports during the crucial years of early literacy instruction, while students with unrecognized emotional disability went without interventions to help them constructively respond to challenges. And while schools are working to provide compensatory education for gaps in special education services for students who had been identified before the pandemic, their obligations to those who missed identification altogether are far less clear.

The estimate, which builds on similar research from other states, echoes the concerns of advocates who’ve sounded alarms about the pandemic’s effects on students with disabilities. Such students, they say, missed precious opportunities for earlier interventions because of stalled evaluations.

 

Top 10 Emerging Technologies of 2024 — from weforum.org by the World Economic Forum

The Top 10 Emerging Technologies report is a vital source of strategic intelligence. First published in 2011, it draws on insights from scientists, researchers and futurists to identify 10 technologies poised to significantly influence societies and economies. These emerging technologiesare disruptive, attractive to investors and researchers, and expected to achieve considerable scale within five years. This edition expands its analysis by involving over 300 experts from the Forum’s Global Future Councils and a global network of comprising over 2,000 chief editors worldwide from top institutions through Frontiers, a leading publisher of academic research.

 

Anthropic Introduces Claude 3.5 Sonnet — from anthropic.com

Anthropic Introduces Claude 3.5 Sonnet

What’s new? 
  • Frontier intelligence
    Claude 3.5 Sonnet sets new industry benchmarks for graduate-level reasoning (GPQA), undergraduate-level knowledge (MMLU), and coding proficiency (HumanEval). It shows marked improvement in grasping nuance, humor, and complex instructions and is exceptional at writing high-quality content with a natural, relatable tone.
  • 2x speed
  • State-of-the-art vision
  • Introducing Artifacts—a new way to use Claude
    We’re also introducing Artifacts on claude.ai, a new feature that expands how you can interact with Claude. When you ask Claude to generate content like code snippets, text documents, or website designs, these Artifacts appear in a dedicated window alongside your conversation. This creates a dynamic workspace where you can see, edit, and build upon Claude’s creations in real-time, seamlessly integrating AI-generated content into your projects and workflows.

Train Students on AI with Claude 3.5 — from automatedteach.com by Graham Clay
I show how and compare it to GPT-4o.

  • If you teach computer science, user interface design, or anything involving web development, you can have students prompt Claude to produce web pages’ source code, see this code produced on the right side, preview it after it has compiled, and iterate through code+preview combinations.
  • If you teach economics, financial analysis, or accounting, you can have students prompt Claude to create analyses of markets or businesses, including interactive infographics, charts, or reports via React. Since it shows its work with Artifacts, your students can see how different prompts result in different statistical analyses, different representations of this information, and more.
  • If you teach subjects that produce purely textual outputs without a code intermediary, like philosophy, creative writing, or journalism, your students can compare prompting techniques, easily review their work, note common issues, and iterate drafts by comparing versions.

I see this as the first serious step towards improving the otherwise terrible user interfaces of LLMs for broad use. It may turn out to be a small change in the grand scheme of things, but it sure feels like a big improvement — especially in the pedagogical context.


And speaking of training students on AI, also see:

AI Literacy Needs to Include Preparing Students for an Unknown World — from stefanbauschard.substack.com by Stefan Bauschard
Preparing students for it is easier than educators think

Schools could enhance their curricula by incorporating debate, Model UN and mock government programs, business plan competitions, internships and apprenticeships, interdisciplinary and project-based learning initiatives, makerspaces and innovation labs, community service-learning projects, student-run businesses or non-profits, interdisciplinary problem-solving challenges, public speaking, and presentation skills courses, and design thinking workshop.

These programs foster essential skills such as recognizing and addressing complex challenges, collaboration, sound judgment, and decision-making. They also enhance students’ ability to communicate with clarity and precision, while nurturing creativity and critical thinking. By providing hands-on, real-world experiences, these initiatives bridge the gap between theoretical knowledge and practical application, preparing students more effectively for the multifaceted challenges they will face in their future academic and professional lives.

 



Addendum on 6/28/24:

Collaborate with Claude on Projects — from anthropic.com

Our vision for Claude has always been to create AI systems that work alongside people and meaningfully enhance their workflows. As a step in this direction, Claude.ai Pro and Team users can now organize their chats into Projects, bringing together curated sets of knowledge and chat activity in one place—with the ability to make their best chats with Claude viewable by teammates. With this new functionality, Claude can enable idea generation, more strategic decision-making, and exceptional results.

Projects are available on Claude.ai for all Pro and Team customers, and can be powered by Claude 3.5 Sonnet, our latest release which outperforms its peers on a wide variety of benchmarks. Each project includes a 200K context window, the equivalent of a 500-page book, so users can add all of the relevant documents, code, and insights to enhance Claude’s effectiveness.

 

Latent Expertise: Everyone is in R&D — from oneusefulthing.org by Ethan Mollick
Ideas come from the edges, not the center

Excerpt (emphasis DSC):

And to understand the value of AI, they need to do R&D. Since AI doesn’t work like traditional software, but more like a person (even though it isn’t one), there is no reason to suspect that the IT department has the best AI prompters, nor that it has any particular insight into the best uses of AI inside an organization. IT certainly plays a role, but the actual use cases will come from workers and managers who find opportunities to use AI to help them with their job. In fact, for large companies, the source of any real advantage in AI will come from the expertise of their employees, which is needed to unlock the expertise latent in AI.


OpenAI’s former chief scientist is starting a new AI company — from theverge.com by Emma Roth
Ilya Sutskever is launching Safe Superintelligence Inc., an AI startup that will prioritize safety over ‘commercial pressures.’

Ilya Sutskever, OpenAI’s co-founder and former chief scientist, is starting a new AI company focused on safety. In a post on Wednesday, Sutskever revealed Safe Superintelligence Inc. (SSI), a startup with “one goal and one product:” creating a safe and powerful AI system.

Ilya Sutskever Has a New Plan for Safe Superintelligence — from bloomberg.com by Ashlee Vance (behind a paywall)
OpenAI’s co-founder discloses his plans to continue his work at a new research lab focused on artificial general intelligence.

Safe Superintelligence — from theneurondaily.com by Noah Edelman

Ilya Sutskever is kind of a big deal in AI, to put it lightly.

Part of OpenAI’s founding team, Ilya was Chief Data Scientist (read: genius) before being part of the coup that fired Sam Altman.

Yesterday, Ilya announced that he’s forming a new initiative called Safe Superintelligence.

If AGI = AI that can perform a wide range of tasks at our level, then Superintelligence = an even more advanced AI that surpasses human capabilities in all areas.


AI is exhausting the power grid. Tech firms are seeking a miracle solution. — from washingtonpost.com by Evan Halper and Caroline O’Donovan
As power needs of AI push emissions up and put big tech in a bind, companies put their faith in elusive — some say improbable — technologies.

As the tech giants compete in a global AI arms race, a frenzy of data center construction is sweeping the country. Some computing campuses require as much energy as a modest-sized city, turning tech firms that promised to lead the way into a clean energy future into some of the world’s most insatiable guzzlers of power. Their projected energy needs are so huge, some worry whether there will be enough electricity to meet them from any source.


Microsoft, OpenAI, Nvidia join feds for first AI attack simulation — from axios.com by Sam Sabin

Federal officials, AI model operators and cybersecurity companies ran the first joint simulation of a cyberattack involving a critical AI system last week.

Why it matters: Responding to a cyberattack on an AI-enabled system will require a different playbook than the typical hack, participants told Axios.

The big picture: Both Washington and Silicon Valley are attempting to get ahead of the unique cyber threats facing AI companies before they become more prominent.


Hot summer of AI video: Luma & Runway drop amazing new models — from heatherbcooper.substack.com by Heather Cooper
Plus an amazing FREE video to sound app from ElevenLabs

Immediately after we saw Sora-like videos from KLING, Luma AI’s Dream Machine video results overshadowed them.

Dream Machine is a next-generation AI video model that creates high-quality, realistic shots from text instructions and images.


Introducing Gen-3 Alpha — from runwayml.com by Anastasis Germanidis
A new frontier for high-fidelity, controllable video generation.


AI-Generated Movies Are Around the Corner — from news.theaiexchange.com by The AI Exchange
The future of AI in filmmaking; participate in our AI for Agencies survey

AI-Generated Feature Films Are Around the Corner.
We predict feature-film length AI-generated films are coming by the end of 2025, if not sooner.

Don’t believe us? You need to check out Runway ML’s new Gen-3 model they released this week.

They’re not the only ones. We also have Pika, which just raised $80M. And Google’s Veo. And OpenAI’s Sora. (+ many others)

 


Is Gen AI Creating A Divide Among Law Firms Of Haves and Have Nots? — from lawnext.com by Bob Ambrogi

It further seems to me that there is increasingly a divide in the use of generative AI between larger firms and smaller firms. Some will jump on me for saying that, because there are clearly smaller firms that are leading the pack in their development and use of generative AI. (I’m looking at you, Siskind Susser.) By the same token, there are larger firms that have locked their doors to generative AI.

But of the firms that are most openly incorporating generative AI into their workflows, they seem mostly to be larger firms. There is good reason for this. Larger firms have innovation officers and KM professionals and others on staff who are leading the charge on generative AI. Thanks to them, those firms are better equipped to survey the AI landscape and test products under controlled and secure conditions.


On LawNext: Cofounder Jason Tashea on the First Year and Uncertain Future of Georgetown’s First-of-Its-Kind Judicial Innovation Fellowship — from lawnext.com by Bob Ambrogi

Eighteen months ago, the first-of-its-kind Judicial Innovation Fellowship launched with the mission of embedding experienced technologists and designers within state, local, and tribal courts to develop technology-based solutions to improve the public’s access to justice. Housed within the Institute for Technology Law & Policy at Georgetown University Law Center, the program was designed to be a catalyst for innovation to enable courts to better serve the legal needs of the public.


Addendum on 6/24/24:

Legal AI Careers Prospects and Opportunities: Navigating the Future of Law — from lawfuel.com

The advances with generative AI tools open new career opportunities for lawyers, from legal tech consultants to junior lawyers supervising AI systems.

Institutions like Harvard Law School and Yale Law School are introducing courses that focus on AI’s implications in the legal field and such career oppotunities continue to arise.

Pursuing a career in Legal AI requires a unique blend of legal knowledge and technical skills. There are various educational pathways can equip aspiring professionals with these competencies.

 

Microschooling Movement’s Latest Wave of Major National Media Coverage — from microschoolingcenter.org by Don Soifer

Today’s microschooling movement continues to attract major coverage in national and local media outlets around the country. This week saw important new feature articles highlighting microschools in two of the most influential.

The New York Times ran this piece by its lead national education reporter Dana Goldstein, who visited several Georgia microschools and conducted research and interviews with leaders there and around the country. “…The appeal goes beyond the Republican base and includes many working- or middle-class Black and Latino parents — especially those whose children are disabled, and who feel public schools are not meeting their needs,” the article found. The National Microschooling Center was pleased to see several of the Times’ explanations and background about our exciting movement cited in our own published research.

Also this week, The Hill, Congress’ own daily newspaper, published its own article, “What Are Microschools? The Small Classrooms Growing Large in the School Choice Movement.”


Also relevant, see:

Maine’s Microschooling Movement: As New Wave of Schools Launch, Many Old Ones Are Redefining Themselves — from the74million.org by Kerry McDonald; via GSV
McDonald: Founders across the state see a growing movement toward smaller, simpler, more holistic educational models.

It’s part of a growing trend, both in Maine and nationally, of new schools and spaces offering smaller, more individualized, more flexible learning options that parents and teachers desire. Many of these programs, including School Around Us, are part of the VELA Founder Network that supports alternative education environments across the U.S. with grants and entrepreneurial resources.

According to the new Johns Hopkins UniversityHomeschool Hub, homeschooling numbers now hover around six percent of the total K-12 school-age population, a dramatic increase from pre-pandemic estimates. Maine has seen its homeschooling numbersremainhigh since 2020. 


Public Schools Violate Their Sacred Mission When They Turn Students Away — from the74million.org by Tim DeRoche
DeRoche: There needs to be more legal oversight of school and district enrollment policies to ensure that public education is truly open to all.

Some readers may be surprised to learn that many U.S. high schools deny entry to legally eligible students. It is, after all, conventional wisdom that public schools are open to all families and that they eagerly seek to serve all potential students.

Available to All launched in early 2023 as a nonpartisan watchdog defending equal access to public schools. We have documented many cases in which schools turn away students, either unfairly or illegally, based on discriminatory criteria…

Families should have the legal right to apply to any public school, and the school should be required to publish a formal letter of denial if a child is rejected, explaining the legal basis for the decision. Every public school should be required to publish application and enrollment data, and every American family should have the right to appeal denial of enrollment to a neutral third party (as families already do in a handful of states, including California and Arkansas).


And speaking of homeschooling…

Outschool Launches Courses to Support Increased Interest in Homeschooling and Alternative Education — from prnewswire.com by Outschool

SAN FRANCISCO, June 19, 2024/PRNewswire/ — Leading online learning platform, Outschool announced today the launch of Courses, new classes and features designed specifically for homeschool and alternative education families. Outschool’s Courses is designed to empower homeschooling families and power-users of Outschool to craft their own individualized education with expert teachers, unique and engaging classes, easy scheduling, and progress tracking. Outschool Courses has been created to help families put their learner’s unique educational needs first.


A Record Number of Kids Are in Special Education—and It’s Getting Harder to Help Them All — from wsj.com by Sara Randazzo and Matt Barnum (behind a paywall)
What’s driving a rise in special education: pandemic disruptions, a shrinking stigma

More American children than ever are qualifying for special education, but schools are struggling to find enough teachers to meet their needs.

A record 7.5 million students accessed special-education services in U.S. schools as of 2022-2023, including children with autism, speech impairments and attention-deficit hyperactivity disorder. That is 15.2% of the public-school student population…

From DSC:
For anyone who really believes that teaching is easy, try attending a few Individualized Education Plan (IEP) meetings. You’ll be blown away about how intricate and challenging teaching can be.

 

The Musician’s Rule and GenAI in Education — from opencontent.org by David Wiley

We have to provide instructors the support they need to leverage educational technologies like generative AI effectively in the service of learning. Given the amount of benefit that could accrue to students if powerful tools like generative AI were used effectively by instructors, it seems unethical not to provide instructors with professional development that helps them better understand how learning occurs and what effective teaching looks like. Without more training and support for instructors, the amount of student learning higher education will collectively “leave on the table” will only increase as generative AI gets more and more capable. And that’s a problem.

From DSC:
As is often the case, David put together a solid posting here. A few comments/reflections on it:

  • I agree that more training/professional development is needed, especially regarding generative AI. This would help achieve a far greater ROI and impact.
  • The pace of change makes it difficult to see where the sand is settling…and thus what to focus on
  • The Teaching & Learning Groups out there are also trying to learn and grow in their knowledge (so that they can train others)
  • The administrators out there are also trying to figure out what all of this generative AI stuff is all about; and so are the faculty members. It takes time for educational technologies’ impact to roll out and be integrated into how people teach.
  • As we’re talking about multiple disciplines here, I think we need more team-based content creation and delivery.
  • There needs to be more research on how best to use AI — again, it would be helpful if the sand settled a bit first, so as not to waste time and $$. But then that research needs to be piped into the classrooms far better.
    .

We need to take more of the research from learning science and apply it in our learning spaces.

 


From DSC:
I’ve been wondering about collaborations, consortiums, and other forms of pooling resources within higher education for quite some time. As such, this an interesting item to me.


 

The future of career exploration is virtual — from fastcompany.com by Bharani Rajakumar
Maximizing our investment and reinvigorating the workforce will take a whole new approach to educating students about the paths that await.

A PUSH TOWARD EXPERIENTIAL LEARNING
There is an answer to our narrow-view career exploration, and it starts with experiential learning.

Over the last decade, educational institutions have been reaping the rewards of more engrossing learning experiences. As Independent School magazine wrote a decade ago, when experiential learning was becoming more popular, by setting young people “loose to solve real-world problems, we are helping students find that essential spark not only to build their academic résumés, but also to be creative, caring, capable, engaged human beings.”

Rather than take students on field trips, we have the technology to create extended reality (XR) experiences that take students on a journey of what various careers actually look like in action.

 




Kuaishou Unveils Kling: A Text-to-Video Model To Challenge OpenAI’s Sora — from maginative.com by Chris McKay


Generating audio for video — from deepmind.google


LinkedIn leans on AI to do the work of job hunting — from  techcrunch.com by Ingrid Lunden

Learning personalisation. LinkedIn continues to be bullish on its video-based learning platform, and it appears to have found a strong current among users who need to skill up in AI. Cohen said that traffic for AI-related courses — which include modules on technical skills as well as non-technical ones such as basic introductions to generative AI — has increased by 160% over last year.

You can be sure that LinkedIn is pushing its search algorithms to tap into the interest, but it’s also boosting its content with AI in another way.

For Premium subscribers, it is piloting what it describes as “expert advice, powered by AI.” Tapping into expertise from well-known instructors such as Alicia Reece, Anil Gupta, Dr. Gemma Leigh Roberts and Lisa Gates, LinkedIn says its AI-powered coaches will deliver responses personalized to users, as a “starting point.”

These will, in turn, also appear as personalized coaches that a user can tap while watching a LinkedIn Learning course.

Also related to this, see:

Unlocking New Possibilities for the Future of Work with AI — from news.linkedin.com

Personalized learning for everyone: Whether you’re looking to change or not, the skills required in the workplace are expected to change by 68% by 2030. 

Expert advice, powered by AI: We’re beginning to pilot the ability to get personalized practical advice instantly from industry leading business leaders and coaches on LinkedIn Learning, all powered by AI. The responses you’ll receive are trained by experts and represent a blend of insights that are personalized to each learner’s unique needs. While human professional coaches remain invaluable, these tools provide a great starting point.

Personalized coaching, powered by AI, when watching a LinkedIn course: As learners —including all Premium subscribers — watch our new courses, they can now simply ask for summaries of content, clarify certain topics, or get examples and other real-time insights, e.g. “Can you simplify this concept?” or “How does this apply to me?”

 


Roblox’s Road to 4D Generative AI — from corp.roblox.com by Morgan McGuire, Chief Scientist

  • Roblox is building toward 4D generative AI, going beyond single 3D objects to dynamic interactions.
  • Solving the challenge of 4D will require multimodal understanding across appearance, shape, physics, and scripts.
  • Early tools that are foundational for our 4D system are already accelerating creation on the 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.

 

 

Survey: Most Students Approve of Education Quality, Climate — from insidehighered.com by Colleen Flaherty
Initial findings from Inside Higher Ed’s annual Student Voice survey challenge popular narratives about how college is failing students, while also pointing to areas for improvement.

Public doubts about higher education may be increasing, but three in four current students rate the quality of education they’re receiving as good (46 percent) or excellent (27 percent), according to just-in results from Inside Higher Ed’s annual Student Voice survey. This is relatively consistent across institution types.

 

 

AI candidate running for Parliament in the U.K. says AI can humanize politics — from nbcnews.com by Angela Yang and Daniele Hamamdjian; via The Rundown AI
Voters can talk to AI Steve, whose name will be on the ballot for the U.K.’s general election next month, to ask policy questions or raise concerns.

Commentary from The Rundown AI:

The Rundown: An AI-powered candidate named ‘AI Steve’ is running for U.K. Parliament in next month’s general election — creating polarizing questions around AI’s use in government affairs.

The details:

  • AI Steve is represented by businessman Steve Endacott and will appear as an independent candidate in the upcoming election.
  • Voters can interact with AI Steve online to ask policy questions and raise concerns or suggestions, which the AI will incorporate based on feedback.
  • If elected, Endacott will serve as AI Steve’s human proxy in Parliament, attending meetings and casting votes based on the AI’s constituent-driven platform.

Why it matters: The idea of an AI running for office might sound like a joke, but the tech behind it could actually help make our politicians more independent and (ironically) autonomous. AI-assisted governance is likely coming someday, but it’s probably still a bit too early to be taken seriously.

Also related, see:


From The Deep View:

The details: Hearing aids have employed machine learning algorithms for decades. But these algorithms historically have not been powerful enough to tackle the ‘cocktail party’ problem; they weren’t able to isolate a single voice in a loud, crowded room.

Dr. DeLiang Wang has been working on the problem for decades and has published numerous studies in recent years that explore the application of deep learning within hearing aids.

Last year, Google partnered up with a number of organizations to design personalized, AI-powered hearing aids.

Why it matters: Wang’s work has found that deep learning algorithms, running in real-time, could separate speech from background noises, “significantly” improving intelligibility in hearing-impaired people.
The tech is beginning to become publicly available, with brands like Phonak and Starkey leveraging deep learning and AI to enhance their hearing aids.



 

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?”

 
© 2025 | Daniel Christian