Implementing UDL with a Focus on Accessibility UDL is a proven methodology that benefits all students, but when instructors embrace universal design, they need to consider how their decisions will affect students with disabilities.
Some key considerations to keep in mind:
Instructional materials should not require a certain type of sensory perception.
A presentation that includes images should have accurate alternative text (also called alt text) for those images.
Transcripts and captions should be provided for all audio content.
Color alone should not be used to convey information, since some students may not perceive color (or have different cultural understandings of colors).
Student presentations should also follow accessibility guidelines. This increases the student’s workload, but it’s an excellent opportunity to teach the importance of accessibility.
MADE Podcast on Branching Scenarios — from christytuckerlearning.com by Christy Tucker My interview for the MADE podcast on branching scenarios: when to use them, challenges, tools, planning, and getting started.
Excerpt:
MADE is the Media and Design in Education team for the University of Toronto. Inga Breede from this educational technology group recently interviewed me for their podcast. We talked about scenario-based learning and specifically about branching scenarios.
What we discussed
We covered several topics in our 20-minute conversation.
When should branching scenarios be used in learning experiences?
What are some of the challenges and limitations that designers typically come across when they’re building a branching scenario?
What are the key components to consider in the planning stage?
What are my favorite tools to use to build branching scenarios?
For learning designers who are interested in scenario building, where can they begin their journey of discovery?
From the 45+ #books that I’ve read in last 2 years here are my top 10 recommendations for #learningdesigners or anyone in #learninganddevelopment
Speaking of recommended books (but from a more technical perspective this time), also see:
10 must-read tech books for 2023 — from enterprisersproject.com by Katie Sanders (Editorial Team) Get new thinking on the technologies of tomorrow – from AI to cloud and edge – and the related challenges for leaders
OpenAI has built the best Minecraft-playing bot yet by making it watch 70,000 hours of video of people playing the popular computer game. It showcases a powerful new technique that could be used to train machines to carry out a wide range of tasks by binging on sites like YouTube, a vast and untapped source of training data.
The Minecraft AI learned to perform complicated sequences of keyboard and mouse clicks to complete tasks in the game, such as chopping down trees and crafting tools. It’s the first bot that can craft so-called diamond tools, a task that typically takes good human players 20 minutes of high-speed clicking—or around 24,000 actions.
The result is a breakthrough for a technique known as imitation learning, in which neural networks are trained to perform tasks by watching humans do them.
…
The team’s approach, called Video Pre-Training (VPT), gets around the bottleneck in imitation learning by training another neural network to label videos automatically.
“Most language learning software can help with the beginning part of learning basic vocabulary and grammar, but gaining any degree of fluency requires speaking out loud in an interactive environment,” Zwick told TechCrunch in an email interview. “To date, the only way people can get that sort of practice is through human tutors, which can also be expensive, difficult and intimidating.”
Speak’s solution is a collection of interactive speaking experiences that allow learners to practice conversing in English. Through the platform, users can hold open-ended conversations with an “AI tutor” on a range of topics while receiving feedback on their pronunciation, grammar and vocabulary.
It’s one of the top education apps in Korea on the iOS App Store, with over 15 million lessons started annually, 100,000 active subscribers and “double-digit million” annual recurring revenue.
If you last checked in on AI image makers a month ago & thought “that is a fun toy, but is far from useful…” Well, in just the last week or so two of the major AI systems updated.
You can now generate a solid image in one try. For example, “otter on a plane using wifi” 1st try: pic.twitter.com/DhiYeVMEEV
So, is this a cool development that will become a fun tool for many of us to play around with in the future? Sure. Will people use this in their work? Possibly. Will it disrupt artists across the board? Unlikely. There might be a few places where really generic artwork is the norm and the people that were paid very little to crank them out will be paid very little to input prompts. Look, PhotoShop and asset libraries made creating company logos very, very easy a long time ago. But people still don’t want to take the 30 minutes it takes to put one together, because thinking through all the options is not their thing. You still have to think through those options to enter an AI prompt. And people just want to leave that part to the artists. The same thing was true about the printing press. Hundreds of years of innovation has taught us that the hard part of the creation of art is the human coming up with the ideas, not the tools that create the art.
A quick comment from DSC: Possibly, at least in some cases. But I’ve seen enough home-grown, poorly-designed graphics and logos to make me wonder if that will be the case.
How to Teach With Deep Fake Technology — from techlearning.com by Erik Ofgang Despite the scary headlines, deep fake technology can be a powerful teaching tool
Excerpt:
The very concept of teaching with deep fake technology may be unsettling to some. After all, deep fake technology, which utilizes AI and machine learning and can alter videos and animate photographs in a manner that appears realistic, has frequently been covered in a negative light. The technology can be used to violate privacy and create fake videos of real people.
However, while these potential abuses of the technology are real and concerning that doesn’t mean we should turn a blind eye to the technology’s potential when using it responsibly, says Jaime Donally, a well-known immersive learning expert.
From DSC: I’m still not sure about this one…but I’ll try to be open to the possibilities here.
Recently, we spoke with three more participants of the AI Explorations program to learn about its ongoing impact in K-12 classrooms. Here, they share how the program is helping their districts implement AI curriculum with an eye toward equity in the classroom.
A hitherto stealth legal AI startup emerged from the shadows today with news via TechCrunch that it has raised $5 million in funding led by the startup fund of OpenAI, the company that developed advanced neural network AI systems such as GPT-3 and DALL-E 2.
The startup, called Harvey, will build on the GPT-3 technology to enable lawyers to create legal documents or perform legal research by providing simple instructions using natural language.
The company was founded by Winston Weinberg, formerly an associate at law firm O’Melveny & Myers, and Gabriel Pereyra, formerly a research scientist at DeepMind and most recently a machine learning engineer at Meta AI.
Think of working memory as the reception counter to a huge archive.
To summarize, working memory processing resources are highly limited, and yet meaningful processing is essential for storage in long-term memory. It is therefore important to use these resources effectively when learning. There are many tested and proven effective teaching strategies, but a question that often comes up is when to apply each strategy for the best results?
Best Webcams for Teachers and Students — from techlearning.com by Luke Edwards Get the best webcams for teachers and students to help with hybrid learning and more
Hybrid learning is becoming the norm and not the exception — from benefitspro.com by Joel Kranc “[Corporate] Learning and development needs to happen where work takes place and learning leaders must place a greater focus on creating blended learning experiences that mirror hybrid work models,” says Jeanne Meister, Executive Vice President, Executive Networks.
Excerpt:
A new survey by Executive Networks and NovoEd highlights the new model as 6 in 10 of the 515 learning leaders at large corporations say hybrid learning is becoming a major part of the learning landscape, and is not just a fad or temporary trend. “Learning leaders are preparing for profound changes as they redesign corporate learning with new delivery methods and rethink how to meet the needs of new audiences,” says Christina Yu, CMO, NovoEd. “The pivot to online learning and the availability of a greater range of technology and tools that can be integrated into learning initiatives, such as social and collaborative learning platforms, make it easier for real-time interaction between cohorts, experts, and mentors.”
A looming economic slowdown, the Great Resignation, a relentlessly expanding skills gap, and employees that would simply rather work from home. This week at Fortune’s CEO Initiative forum, a panel of company executives discussed the litany of challenges they face in developing and maintaining their workforces over the next several years.
In researching “upskilling for L&D practitioners” earlier this year, Learning Guild members were asked what they feel has been the biggest shift in their work over time: While technology has driven much change, sometimes seemingly exponentially, nearly everyone talked about a different sort of shift. This was true even of those who landed on the younger end of the experience spectrum. According to respondents, the biggest change is the move away from the idea that the primary role of L&D is to create “courses.” Technology changed and became easier to use, enabling development of myriad digital solutions. As noted in that report, respondents viewed this change as welcome and positive. …
When asked what other types of content respondents created to be delivered OUTSIDE of a traditional course, the most common responses were creating video and job aids/performance support materials. Microlearning and curated content were also frequently mentioned, and curated collections of existing material was popular with those engaged in traditional design.
Also relevant/see:
Games, Organizing, & Motivation: ID Links 10/25/22 — from christytuckerlearning.com by Christy Tucker Curated links on games built in Twine, storytelling, organization, useful tools, motivation, and transitioning from teaching to ID.
From DSC: Under the Storytelling and CYOA books section, it was interesting to see the Random Plot Generator, where Christy wrote: “A writing prompt tool to generate two characters, a setting, situation, theme, and character action. This could be a fun way to start scenarios if you’re feeling stuck. h/t Jean Marrapodi.”
I thought this might be a good tool for developing writers, improv actors, and likely others as well! 🙂
Also from Christy Tucker, see:
Voice Over and Video in Branching Scenarios When should you use voice over and video in branching scenarios? Use them for stable content and when multimedia improve skill transfer.
If the content is very stable and unlikely to change much over time, voice over might make sense in a branching scenario. Investing in creating video also makes more sense for more stable content and skills than for something that changes every 6 months.
You’ve likely been reading for the last few minutes my arguments for why AI is going to change education. You may agree with some points, disagree with others…
Only, those were not my words.
An AI has written every single word in this essay up until here.
The only thing I wrote myself was the first sentence: Artificial Intelligence is going to revolutionize education. The images too, everything was generated by AI.
Organizations will need to think about three layers of learning content and access methods:
Thoughtfully curated by the organization for business fit.
Semi-curated with the learner having some control of what they learn.
Open for all, where the learner makes all the choices of what and how they learn.
Employee-centric learning approach. There must be a match of learning to organizational objectives as well. Non-curated, open content on platforms is great for focused and deeply aware employees but may not work for everyone, especially in cultures where self-direction is not very strong. Moreover, too much open, non-curated content, driven by non-contextual algorithms, is as detrimental to choice-making for the learner as is too little quality content.
To enable effective learning, technology must be part of a more systemic learning eco-system that includes things such as rewards (the “what’s in it for me”), building blocks from one intervention to the next and post-learning support.
This is the vision of Coursera’s three-sided platform at scale, connecting learners, educators and institutions in a global learning ecosystem designed to keep pace with our rapidly changing world.
Coursera CEO Jeff Maggioncalda
The point of this slide is to show the diversification of Coursera’s business. Degree programs may be down, but enterprise licenses and direct-to-consumer certificates are up. But it also indicates Coursera’s ability to diversify revenue streams for its university content providers. The enterprise business provides a distribution channel between universities and employers. From what I can tell, it’s a Guild competitor, even though the two companies look very different on the surface. The consumer segment started as the MOOC business and has expanded into the “tweener” space between courses and degrees: certificates, microdegrees, whatever.
Learning and development leaders increasingly see online and hybrid learning models as a permanent fixture in the talent space rather than a temporary trend, according to a survey of 515 L&D leaders at North American and European corporations by NovoEd.
Per the company’s survey, 83% of respondents said that hybrid work would force organizations to rethink and redesign corporate L&D offerings. Additionally, more than half said that they agreed with the sentiment that the growth of remote learning would “lead to the demise” of brick and mortar corporate learning.
As their organizations increase investment in the space, most L&D leaders said they would evaluate their programs by emphasizing metrics such as improvement in job performance; improvement in knowledge and competency; and application and implementation of learning.
Deloitte released the fifth edition of its State of AI in the Enterprise research report today, which surveyed more than 2,600 global executives on how businesses and industries are deploying and scaling artificial intelligence (AI) projects.
Most notably, the Deloitte report found that while AI continues to move tantalizingly closer to the core of the enterprise – 94% of business leaders agree that AI is critical to success over the next five years – for some, outcomes seem to be lagging.
What is a surprise, she added, is how quickly the AI landscape is changing – to the point that what began as an every-other-year Deloitte report is now created annually.
For Deloitte’s “State of AI in the Enterprise,” Fifth Edition, we surveyed 2,620 global business leaders representing six industry areas and dozens of sectors. Key findings include:
Ninety-four percent of business leaders surveyed agree that AI is critical to success over the next five years.
Seventy-nine percent of leaders say they have fully deployed three or more AI applications, compared to 62% last year.
There was a 29% increase in the number of respondents self-identifying as “underachievers,” suggesting that many organizations are struggling to achieve meaningful AI outcomes.
Top challenges associated with scaling according to respondents are managing AI-related risk (50%), lack of executive commitment (50%), lack of maintenance and post launch support (50%).
With Google’s latest push, a blending of industry and higher ed— from workshift.opencampusmedia.org by Elyse Ashburn Google’s new industry specializations were co-built by its experts and faculty at four top universities—part of a larger push to combine forces with higher education to drive economic mobility.
Excerpt:
Google is making a bigger push into higher education, partnering with name-brand universities to offer more advanced credentials that build on its signature Career Certificates program. The four new industry specializations—for fields like construction management and financial analysis—were co-designed by Google’s technical experts and university faculty with subject matter expertise.
The specializations are open to anybody on Coursera’s platform, and typically cost several hundred dollars to complete.
It’s a blending of industry and academic expertise—with an eye toward helping more Americans get high-demand jobs—that Gevelber calls a tipping point for higher education.
