Half of Higher Ed Institutions Now Use AI for Outcomes Tracking, But Most Lag in Implementing Comprehensive Learner Records — from prnewswire.com; via GSV

SALT LAKE CITY, Oct. 22, 2024 /PRNewswire/ — Instructure, the leading learning ecosystem and UPCEA, the online and professional education association, announced the results of a survey on whether institutions are leveraging AI to improve learner outcomes and manage records, along with the specific ways these tools are being utilized. Overall, the study revealed interest in the potential of these technologies is far outpacing adoption. Most respondents are heavily involved in developing learner experiences and tracking outcomes, though nearly half report their institutions have yet to adopt AI-driven tools for these purposes. The research also found that only three percent of institutions have implemented Comprehensive Learner Records (CLRs), which provide a complete overview of an individual’s lifelong learning experiences.


New Survey Says U.S. Teachers Colleges Lag on AI Training. Here are 4 Takeaways — from the74million.org by ; via GSV
Most preservice teachers’ programs lack policies on using AI, CRPE finds, and are likely unready to teach future educators about the field.

In the nearly two years since generative artificial intelligence burst into public consciousness, U.S. schools of education have not kept pace with the rapid changes in the field, a new report suggests.

Only a handful of teacher training programs are moving quickly enough to equip new K-12 teachers with a grasp of AI fundamentals — and fewer still are helping future teachers grapple with larger issues of ethics and what students need to know to thrive in an economy dominated by the technology.

The report, from the Center on Reinventing Public Education, a think tank at Arizona State University, tapped leaders at more than 500 U.S. education schools, asking how their faculty and preservice teachers are learning about AI. Through surveys and interviews, researchers found that just one in four institutions now incorporates training on innovative teaching methods that use AI. Most lack policies on using AI tools, suggesting that they probably won’t be ready to teach future educators about the intricacies of the field anytime soon.



The 5 Secret Hats Teachers are Wearing Right Now (Thanks to AI!) — from aliciabankhofer.substack.com by Alicia Bankhofer
New, unanticipated roles for educators sitting in the same boat

As beta testers, we’re shaping the tools of tomorrow. As researchers, we’re pioneering new pedagogical approaches. As ethical guardians, we’re ensuring that AI enhances rather than compromises the educational experience. As curators, we’re guiding students through the wealth of information AI provides. And as learners ourselves, we’re staying at the forefront of educational innovation.


 

 

From DSC:
Great…we have another tool called Canvas. Or did you say Canva?

Introducing canvas — from OpenAI
A new way of working with ChatGPT to write and code

We’re introducing canvas, a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat. Canvas opens in a separate window, allowing you and ChatGPT to collaborate on a project. This early beta introduces a new way of working together—not just through conversation, but by creating and refining ideas side by side.

Canvas was built with GPT-4o and can be manually selected in the model picker while in beta. Starting today we’re rolling out canvas to ChatGPT Plus and Team users globally. Enterprise and Edu users will get access next week. We also plan to make canvas available to all ChatGPT Free users when it’s out of beta.


Using AI to buy your home? These companies think it’s time you should — from usatoday.com by Andrea Riquier

The way Americans buy homes is changing dramatically.

New industry rules about how home buyers’ real estate agents get paid are prompting a reckoning among housing experts and the tech sector. Many house hunters who are already stretched thin by record-high home prices and closing costs must now decide whether, and how much, to pay an agent.

A 2-3% commission on the median home price of $416,700 could be well over $10,000, and in a world where consumers are accustomed to using technology for everything from taxes to tickets, many entrepreneurs see an opportunity to automate away the middleman, even as some consumer advocates say not so fast.


The State of AI Report 2024 — from nathanbenaich.substack.com by Nathan Benaich


The Great Mismatch — from the-job.beehiiv.com. by Paul Fain
Artificial intelligence could threaten millions of decent-paying jobs held by women without degrees.

Women in administrative and office roles may face the biggest AI automation risk, find Brookings researchers armed with data from OpenAI. Also, why Indiana could make the Swiss apprenticeship model work in this country, and how learners get disillusioned when a certificate doesn’t immediately lead to a good job.

major new analysis from the Brookings Institution, using OpenAI data, found that the most vulnerable workers don’t look like the rail and dockworkers who have recaptured the national spotlight. Nor are they the creatives—like Hollywood’s writers and actors—that many wealthier knowledge workers identify with. Rather, they’re predominantly women in the 19M office support and administrative jobs that make up the first rung of the middle class.

“Unfortunately the technology and automation risks facing women have been overlooked for a long time,” says Molly Kinder, a fellow at Brookings Metro and lead author of the new report. “Most of the popular and political attention to issues of automation and work centers on men in blue-collar roles. There is far less awareness about the (greater) risks to women in lower-middle-class roles.”



Is this how AI will transform the world over the next decade? — from futureofbeinghuman.com by Andrew Maynard
Anthropic’s CEO Dario Amodei has just published a radical vision of an AI-accelerated future. It’s audacious, compelling, and a must-read for anyone working at the intersection of AI and society.

But if Amodei’s essay is approached as a conversation starter rather than a manifesto — which I think it should be — it’s hard to see how it won’t lead to clearer thinking around how we successfully navigate the coming AI transition.

Given the scope of the paper, it’s hard to write a response to it that isn’t as long or longer as the original. Because of this, I’d strongly encourage anyone who’s looking at how AI might transform society to read the original — it’s well written, and easier to navigate than its length might suggest.

That said, I did want to pull out a few things that struck me as particularly relevant and important — especially within the context of navigating advanced technology transitions.

And speaking of that essay, here’s a summary from The Rundown AI:

Anthropic CEO Dario Amodei just published a lengthy essay outlining an optimistic vision for how AI could transform society within 5-10 years of achieving human-level capabilities, touching on longevity, politics, work, the economy, and more.

The details:

  • Amodei believes that by 2026, ‘powerful AI’ smarter than a Nobel Prize winner across fields, with agentic and all multimodal capabilities, will be possible.
  • He also predicted that AI could compress 100 years of scientific progress into 10 years, curing most diseases and doubling the human lifespan.
  • The essay argued AI could strengthen democracy by countering misinformation and providing tools to undermine authoritarian regimes.
  • The CEO acknowledged potential downsides, including job displacement — but believes new economic models will emerge to address this.
  • He envisions AI driving unprecedented economic growth but emphasizes ensuring AI’s benefits are broadly distributed.

Why it matters: 

  • As the CEO of what is seen as the ‘safety-focused’ AI lab, Amodei paints a utopia-level optimistic view of where AI will head over the next decade. This thought-provoking essay serves as both a roadmap for AI’s potential and a call to action to ensure the responsible development of technology.

AI in the Workplace: Answering 3 Big Questions — from gallup.com by Kate Den Houter

However, most workers remain unaware of these efforts. Only a third (33%) of all U.S. employees say their organization has begun integrating AI into their business practices, with the highest percentage in white-collar industries (44%).

White-collar workers are more likely to be using AI. White-collar workers are, by far, the most frequent users of AI in their roles. While 81% of employees in production/frontline industries say they never use AI, only 54% of white-collar workers say they never do and 15% report using AI weekly.

Most employees using AI use it for idea generation and task automation. Among employees who say they use AI, the most common uses are to generate ideas (41%), to consolidate information or data (39%), and to automate basic tasks (39%).


Nvidia Blackwell GPUs sold out for the next 12 months as AI market boom continues — from techspot.com by Skye Jacobs
Analysts expect Team Green to increase its already formidable market share

Selling like hotcakes: The extraordinary demand for Blackwell GPUs illustrates the need for robust, energy-efficient processors as companies race to implement more sophisticated AI models and applications. The coming months will be critical to Nvidia as the company works to ramp up production and meet the overwhelming requests for its latest product.


Here’s my AI toolkit — from wondertools.substack.com by Jeremy Caplan and Nikita Roy
How and why I use the AI tools I do — an audio conversation

1. What are two useful new ways to use AI?

  • AI-powered research: Type a detailed search query into Perplexity instead of Google to get a quick, actionable summary response with links to relevant information sources. Read more of my take on why Perplexity is so useful and how to use it.
  • Notes organization and analysis: Tools like NotebookLM, Claude Projects, and Mem can help you make sense of huge repositories of notes and documents. Query or summarize your own notes and surface novel connections between your ideas.
 

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

SALT LAKE CITYJuly 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:

 

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…

 

 


Higher Education Has Not Been Forgotten by Generative AI — from insidehighered.com by Ray Schroeder
The generative AI (GenAI) revolution has not ignored higher education; a whole host of tools are available now and more revolutionary tools are on the way.

Some of the apps that have been developed for general use can be customized for specific topical areas in higher ed. For example, I created a version of GPT, “Ray’s EduAI Advisor,” that builds onto the current GPT-4o version with specific updates and perspectives on AI in higher education. It is freely available to users. With few tools and no knowledge of the programming involved, anyone can build their own GPT to supplement information for their classes or interest groups.

Excerpts from Ray’s EduAI Advisor bot:

AI’s global impact on higher education, particularly in at-scale classes and degree programs, is multifaceted, encompassing several key areas:
1. Personalized Learning…
2. Intelligent Tutoring Systems…
3. Automated Assessment…
4. Enhanced Accessibility…
5. Predictive Analytics…
6. Scalable Virtual Classrooms
7. Administrative Efficiency…
8. Continuous Improvement…

Instructure and Khan Academy Announce Partnership to Enhance Teaching and Learning With Khanmigo, the AI Tool for Education — from instructure.com
Shiren Vijiasingam and Jody Sailor make an exciting announcement about a new partnership sure to make a difference in education everywhere.

 

State of Higher Ed LMS Market for US and Canada: Year-End 2023 Edition — from onedtech.philhillaa.com by Phil Hill

  • The market continues to be a matter of Canvas and Brightspace winning new accounts, Anthology Bb Learn and Moodle losing accounts, with more variety for smaller institutions.
  • Canvas has further consolidated its position as the market leader in North America, with 41% of the market share. Blackboard fell from 18% of the market share to 17%. Moodle has plateaued at 16% while Brightspace increased to 16%. As a reminder, we have removed Open LMS from the Moodle market share.
  • Populi LMS (3%), Open LMS (3%), Sakai (2%), and Schoology (1%) round out the remainder of the market, with 1% of the market going to Other.
  • As always, market share is very much a story of size, type of institution (public or private), and control. The numbers above refer to the market take as a whole, but if we start to drill down to different sizes and types of institution, we get very different market dynamics.

.

.

 

Employers Partnering to Provide Microcredential and Training Programs on the Rise, New Study From Collegis Education and UPCEA Reveals — from prweb.com by Collegis Education
Opportunities are growing, but higher ed institutions are losing ground to private providers

OAKBROOK, Ill. Jan. 23, 2024 /PRNewswire-PRWeb/ — Companies partnering externally to provide training or professional development to employees increased by 26 percent (nearly 15 percentage points) between 2022 and 2023, according to a new study released today by Collegis Education and UPCEA, the online and professional education association. In addition, the report, “Unveiling the Employer’s View: An Employer-Centric Approach to Higher Education Partnerships,” revealed that more than 61 percent of companies without external training partnerships are interested in developing them.

In the second year of an ongoing research series, Collegis partnered with UPCEA to survey more than 500 employers to better understand their perceptions of collaborating with higher ed on professional development programs and alternative credentials.



Instructure Completes Acquisition of Parchment, the World’s Largest Academic Credential Management Platform and Network — from prnewswire.com
Expands Instructure’s market-leading teaching and learning ecosystem by providing learners with a lifelong record of their journey

SALT LAKE CITY, Feb. 1, 2024 /PRNewswire/ — Instructure Holdings, Inc. (Instructure) (NYSE: INST), the leading learning ecosystem and maker of Canvas, announced today it has completed the acquisition of Parchment, the world’s largest credential management platform and network. Parchment has over 13,000 customers and has exchanged more than 165 million credentials over two decades. This acquisition is expected to significantly expand Instructure’s existing customer base and unlock exciting new growth opportunities.

“The addition of Parchment to the Instructure ecosystem enables our customers to offer flexible lifelong learning experiences to meet the needs of the ever-growing sector of non-traditional learners,” said Steve Daly, CEO of Instructure. “By providing a verifiable and comprehensive digital passport of achievement records and outcomes for learners, we’ll be able to help our customers navigate skill mastery, transfer credits, provide proof of prior learning, and much more.”

From DSC:
Instructure’s purchase here represents an important piece of our future learning ecosystems— a way to document/prove the learning a person has done throughout their ***lifelong learning*** journey.


The Importance of Credit for Prior Learning — from evolllution.com by Alexa Dunne
Higher ed needs to focus on providing credit for prior learning that properly communicates what learners know to provide them with more opportunities in the workforce.

According to research from the Council for Adult and Experiential Learning (CAEL) and Western Interstate Commission for Higher Education (WICHE)**, students complete their credentials at a substantially higher rate when they are awarded 15 or more credits for prior learning. For institutions, awarding CPL is an easy—and equitable—way of helping students succeed. Do we want a 22-point increase in credential completion? Yes, please!


Addendum on 2/9/24:

Lego my Metaphor — from onedtech.philhillaa.com by Glenda Morgan
The problem with how we think about stackability of microcredentials=

A key aspect of microcredentials promise is that they are small and have fewer barriers to entry in terms of time and cost than for degrees. But given that microcredentials are small, they can only take a learner so far. This is where stackability comes in. By stacking these microcredentials (i.e., adding multiple credentials, each building on the other) they can be combined to make a more meaningful overall set of qualifications or to create an entryway into a new career. Microcredential stackability is a key assumption underlying many higher education institutions microcredential efforts, as well as a central thread in how they are speaking about and marketing the microcredentials.

In the coming months I want to explore more about microcredentials, as I think they are going to be a key part of higher education in the future. Right now, in higher education I see a lot of talk about microcredentials but less execution and less success than most people would like. Microcredentials are difficult to get right, but we need to start by talking about them in the right way.

 

Tech & Learning Announces Winners of Best of Show at ISTE 2023 — from techlearning.com
Our annual awards celebrate the products, and businesses behind each one, who are transforming education in schools around the world.

Excerpt:

The evaluation criteria included: ease of use, value, uniqueness in the market, and proof that the product helped make teachers’ lives easier and supported student achievement.

“We received an impressive array of nominations for this year’s awards,” says Christine Weiser, content director for Tech & Learning. “Our judges chose the products that they believed best supported innovation in the classroom and district.

 

Some example components of a learning ecosystem [Christian]

A learning ecosystem is composed of people, tools, technologies, content, processes, culture, strategies, and any other resource that helps one learn. Learning ecosystems can be at an individual level as well as at an organizational level.

Some example components:

  • Subject Matter Experts (SMEs) such as faculty, staff, teachers, trainers, parents, coaches, directors, and others
  • Fellow employees
  • L&D/Training professionals
  • Managers
  • Instructional Designers
  • Librarians
  • Consultants
  • Types of learning
    • Active learning
    • Adult learning
    • PreK-12 education
    • Training/corporate learning
    • Vocational learning
    • Experiential learning
    • Competency-based learning
    • Self-directed learning (i.e., heutagogy)
    • Mobile learning
    • Online learning
    • Face-to-face-based learning
    • Hybrid/blended learning
    • Hyflex-based learning
    • Game-based learning
    • XR-based learning (AR, MR, and VR)
    • Informal learning
    • Formal learning
    • Lifelong learning
    • Microlearning
    • Personalized/customized learning
    • Play-based learning
  • Cloud-based learning apps
  • Coaching & mentoring
  • Peer feedback
  • Job aids/performance tools and other on-demand content
  • Websites
  • Conferences
  • Professional development
  • Professional organizations
  • Social networking
  • Social media – Twitter, LinkedIn, Facebook/Meta, other
  • Communities of practice
  • Artificial Intelligence (AI) — including ChatGPT, learning agents, learner profiles, 
  • LMS/CMS/Learning Experience Platforms
  • Tutorials
  • Videos — including on YouTube, Vimeo, other
  • Job-aids
  • E-learning-based resources
  • Books, digital textbooks, journals, and manuals
  • Enterprise social networks/tools
  • RSS feeds and blogging
  • Podcasts/vodcasts
  • Videoconferencing/audio-conferencing/virtual meetings
  • Capturing and sharing content
  • Tagging/rating/curating content
  • Decision support tools
  • Getting feedback
  • Webinars
  • In-person workshops
  • Discussion boards/forums
  • Chat/IM
  • VOIP
  • Online-based resources (periodicals, journals, magazines, newspapers, and others)
  • Learning spaces
  • Learning hubs
  • Learning preferences
  • Learning theories
  • Microschools
  • MOOCs
  • Open courseware
  • Portals
  • Wikis
  • Wikipedia
  • Slideshare
  • TED talks
  • …and many more components.

These people, tools, technologies, etc. are constantly morphing — as well as coming and going in and out of our lives.

 

 

Microsoft Plans to Build OpenAI, ChatGPT Features Into All Products — from wsj.com by Sam Schechner (behind paywall)
Offering for businesses and end users to be transformed by incorporating tools like ChatGPT, CEO Satya Nadella says

Excerpt:

DAVOS, Switzerland—Microsoft Corp. MSFT 2.86%increase; green up pointing triangle plans to incorporate artificial-intelligence tools like ChatGPT into all of its products and make them available as platforms for other businesses to build on, Chief Executive Satya Nadella said.

It’s a matter of time before the LMSs like Canvas and Anthology do the same. Really going to change the complexion of online learning.

Jared Stein; via Robert Gibson on LinkedIn

Also relevant/see:

Donald Clark’s thoughts out on LinkedIn re: Google and AI

Excerpt:

Microsoft are holding a lot of great cards in the AI game, especially ChatGPT-3, but Google also have a great hand, in fact they have a bird in the hand:

Sparrow, from Deepmind, is likely to launch soon. Their aim is to trump ChatGTP by having a chatbot that is more useful and reduces the risk of unsafe and inappropriate answers. In the released paper, they also indicate that it will have moral constraints. Smart move.

Hassabis has promised some sort of release in 2023. Their goal is to reduce wrong and invented information by linking it to Google Search and Scholar for citations.

Donald Clark’s thought re: Apple’s strategy for AI — from donaldclarkplanb.blogspot.com

Wonder Tools:7 ways to Use ChatGPT — from wondertools.substack.com by Jeremy Caplan

Excerpt:

4 recommended ChatGPT resources

  • The Art of ChatGPT PromptingA Guide to Crafting Clear and Effective Prompts.
    This free e-book acts a useful guide for beginners.
  • Collection of ChatGPT Resources
    Use ChatGPT in Google Docs, WhatsApp, as a desktop app, with your voice, or in other ways with this running list of tools.
  • Awesome ChatGPT prompts
    Dozens of clever pre-written prompts you can use to initiate your own conversations with ChatGPT to get it to reply as a fallacy finder or a journal reviewer or whatever else.
  • Writing for Renegades – Co-writing with AI
    This free 17-page resource has writing exercises you can try with ChatGPT. It also includes interesting nuggets, like Wycliffe A. Hill’s 1936 attempt at writing automation, Plot Genie.

 


We often see the battle between technology and humans as a zero-sum game. And that’s how much of the discussion about ChatGPT is being framed now. Like many others who have been experimenting with ChatGPT in recent weeks, I find that a lot of the output depends on the input. In other words, the better the human question, the better the ChatGPT answer.

So instead of seeing ourselves competing with technology, we should find ways to complement it and view ChatGPT as a tool that assists us in collecting information and in writing drafts.

If we reframe the threat, think about how much time can be freed up to read, to think, to write?

As many have noted, including Michael Horn on the Class Disrupted podcast he co-hosts, ChatGPT is to writing what calculators were once to math and other STEM disciplines. 

Jeff Selingo: ‘The Calculator’ for a New Generation?

 


GPT in Higher Education — from insidehighered.com by Ray Schroeder
ChatGPT has caught our attention in higher education. What will it mean in 2023?

Excerpt:

Founder and CEO at Moodle Martin Dougiamas writes in Open Ed Tech that as educators, we must recognize that artificial general intelligence will become ubiquitous. “In short, we need to embrace that AI is going to be a huge part of our lives when creating anything. There is no gain in banning it or avoiding it. It’s actually easier (and better) to use this moment to restructure our education processes to be useful and appropriate in today’s environment (which is full of opportunities).”

Who, at your institution, is examining the impact of AI, and in particular GPT, upon the curriculum? Are instructional designers working with instructors in revising syllabi and embedding AI applications into the course offerings? What can you do to ensure that your university is preparing learners for the future rather than the past?

Ray Schroeder

ChatGPT Advice Academics Can Use Now — from insidehighered.com by Susan D’Agostino
To harness the potential and avert the risks of OpenAI’s new chat bot, academics should think a few years out, invite students into the conversation and—most of all—experiment, not panic. 

Alarmed by AI Chatbots, Universities Start Revamping How They Teach — from The New York Times (out at Yahoo) by Kalley Huang

Excerpt:

At schools including George Washington University in Washington, D.C., Rutgers University in New Brunswick, New Jersey, and Appalachian State University in Boone, North Carolina, professors are phasing out take-home, open-book assignments — which became a dominant method of assessment in the pandemic but now seem vulnerable to chatbots. They are instead opting for in-class assignments, handwritten papers, group work and oral exams.

Gone are prompts like “write five pages about this or that.” Some professors are instead crafting questions that they hope will be too clever for chatbots and asking students to write about their own lives and current events.

With ChatGPT, Teachers Can Plan Lessons, Write Emails, and More. What’s the Catch? — from edweek.org by Madeline Will  (behind paywall)

Why Banning ChatGPT in Class Is a Mistake — from campustechnology.com by Thomas Mennella
Artificial intelligence can be a valuable learning tool, if used in the right context. Here are ways to embrace ChatGPT and encourage students to think critically about the content it produces.

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Let the Lawsuits Against Generative AI Begin! — from legallydisrupted.com by Zach Abramowitz
Getty Sues Stability AI as Lawsuits Mount Against GenAI Companies

Excerpt:

Well, it was bound to happen. Anytime you have a phenomenon as disruptive as generative AI, you can expect lawsuits.

Case in point: the lawsuit recently filed by Getty Images against Stability AI, highlighting the ongoing legal challenges posed by the use of AI in the creative industries. But it’s not the only lawsuit recently filed, see e.g. Now artists sue AI image generation tools Stable Diffusion, Midjourney over copyright | Technology News, The Indian Express


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Post-Conference LMS Market News — from philonedtech.com by Phil Hill

Excerpt:

Educause used to be THE EdTech conference, and the LMS market news tended to deliberately coincide with the fall event – with vendors releasing news that week. The conference competition has heated up and Educause is now one among several EdTech conferences, but it does tend to remain the premier event in North American higher ed in terms of combined exhibitor booths and marketing presence.

Having seen so many LMS vendors at #Edu22 (Instructure Canvas, Google Classroom sort of, D2L Brightspace, Anthology Learn, Open LMS, Sakai, and Cypher Learning), it is worth collecting some items in one place after the conference, organized this time around market wins of significance.

 

Instructure Research Reveals Higher Education’s New Directive as Students Demand Flexibility and Return on Investment — from prnewswire.com by Instructure

Excerpt:

SALT LAKE CITYOct. 26, 2022 /PRNewswire/ — Instructure, the maker of Canvas, recently released its annual global report focused on the state of higher education. Key findings from the report include the factors that lead to student success, what’s hindering students from succeeding and important elements for measuring success, such as the importance of mental health support for students. View the full report: State of Student Success and Engagement in Higher Education.

“We are seeing a growing group of non-traditional students that demand change in the way institutions offer courses,” said Melissa Loble, chief customer experience officer at Instructure. “Learners are looking for flexibility and an emphasis on career skills in preparation for entering the workforce. Institutions that offer holistic solutions, such as mental health resources and mentoring programs, will go a long way in ensuring student success.”

In its third year, the “State of Higher Education” research reflects a survey of over 7,500 current students, administrators and faculty from 23 countries representing a mixture of two-year, four-year, public and private higher education institutions. The report uncovered six key trends:

Also relevant/see:

 

The state of teaching and learning in K12 — from Instructure

What began as an unplanned shift to remote learning two years ago has grown into a movement—a transformation, really—that has given way to a more measured approach to intentionally designed digital learning. The adoption of new educational technologies and instructional strategies has evolved teaching and learning as we know it at an unprecedented pace.

The state of teaching and learning in K12

TOC for the state of teaching and learning in K12

 

New Accessibility Features Coming to Apple Devices — from .lifewire.com by Cesar Cadenas; fact checked by Jerri Ledford
Helping people with disabilities navigate the world

Excerpt:

Door Detection is a new mode coming to Apple’s Magnifier app. As the name suggests, the feature helps people find the door and how far they are it, and describes various attributes of the door. These attributes include if the door is open or closed as well as how to open it.

 

Addendum on 5/19/22:

Addendums on 5/20/22:

 

From DSC:
For the last few years, I’ve been thinking that we need to make learning science-related information more accessible to students, teachers, professors, trainers, and employees — no matter what level they are at.

One idea on how to do this — besides putting posters up in the hallways, libraries, classrooms, conference rooms, cafeterias, etc. — is that we could put a How best to study/learn link in all of the global navigation bars and/or course navigation bars out there in organizations’ course management systems and learning management systems. Learners of all ages could have 24 x 7 x 365, easy, instant access as to how to be more productive as they study and learn about new things.

For example, they could select that link in their CMS/LMS to access information on:

  • Retrieval practice
  • Spacing
  • Interleaving
  • Metacognition
  • Elaboration
  • The Growth Mindset
  • Accessibility-related tools / assistive technologies
  • Links to further resources re: learning science and learning theories

What do you think? If we started this in K12, kept it up in higher ed and vocational programs, and took the idea into the corporate world, valuable information could be relayed and absorbed. This is the kind of information that is highly beneficial these days — as all of us need to be lifelong learners now.

 
© 2024 | Daniel Christian