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Closing the digital divide in Black America [McKinsey.com]

On 01/23/2023, in 24x7x365 access, Bring your own device (BYOD), communications, digital learning, education, education technology, funding / grants, future, homeschooling/homeschoolers, human-computer interaction (HCI), instructional design, K-12 related, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, legislatures / government / legal, online learning, parents, participation, skills, society, sociology, tablets, technologies for your home, telecommunications, tools, United States, by Daniel Christian

Closing the digital divide in Black America — from mckinsey.com
Five steps could help to bring broadband and digital equity to every Black household in the United States—urban and rural—while bolstering efforts to create a more inclusive economy.

Excerpt:

But broadband access is only part of a much bigger picture. Ensuring all Americans can fully participate in civic life and the digital economy requires afford­able subscriptions, internet-enabled devices, applications, digital skills, and high-quality technical support. For example, while smartphone and tablet penetration are approximately equal among White, Black, and Hispanic and Latino adults in the United States, only 69 percent of Black Americans and 67 percent of Hispanic Americans have desktop or laptop computers, compared with 80 percent of White Americans (Exhibit 1).5 A 2020 OECD survey found that roughly half of Black workers had the advanced or proficient digital skills needed to thrive in our increasingly tech-driven economy, compared with 77 percent of White workers.6

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Some example components of a learning ecosystem [Christian]

On 01/20/2023, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), blended learning, blogs / blogging / vlogging, bots, Canvas - and other Instructure-related items, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, digital textbooks, digital video, e-books, e-publishing related items (EPUB and more), education technology, educational games / serious games, elearning, face-to-face, faculty, heutagogy, higher education, human-computer interaction (HCI), hybrid learning, Hyflex learning, informal learning, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, microlearning, mobile learning, MOOCs -- Massive Open Online Courses, online learning, online media, online tutoring, open courseware and systems, parents, pedagogy, personalized/customized learning, platforms, play, podcasting, professional development, social learning / networks, social media, society, streams of content, student-related, teachers, teaching & learning, technology (general), tools, training / L&D, universities, videoconferencing, Virtual Reality (VR) / worlds / learning, vocational / trades, webinars, by Daniel 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.

 

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Top edtech trends in 2023

On 01/20/2023, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), Blockchain, bots, cloud-based computing / apps / other cloud-related, colleges, community colleges, credentialing, education technology, educational games / serious games, emerging technologies, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), innovation, Metaverse, Virtual Reality (VR) / worlds / learning, vision/possibilities, XR - extended reality, by Daniel Christian

Top edtech trends in 2023 and the ASU example — from news.asu.edu

Excerpt:

In spite of our tendency to break things down into tidy time frames, like a new year or academic semester, change constantly turns over the status quo. Especially in the world of technology, where disruptive innovation may evolve rapidly from the fringe to the mainstream.

“At ASU’s Enterprise Technology, we work in spaces where technology is not just revolutionizing higher education, but the world at large,” said Lev Gonick, chief information officer at Arizona State University. “We strive to be proactive, not reactive, to new paradigms changing the ways in which we work, learn and thrive.”

As referenced by the above article:

Thus, the top higher education technology trends to watch out for in 2023 include Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), Digital Twins, the Metaverse (including digital avatars and NFT art for use in the Metaverse and other Web3-based virtual environments), Internet of Things (IoT), Blockchain, Cloud, Gamification, and Chatbots. These technologies will support the expansion of the Digital Transformation of higher education going forward.

Also relevant/see:

 

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14 Technology Predictions for Higher Education in 2023 [Kelly]

On 01/17/2023, in accessibility / UDL, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, blended learning, career development, change, collaboration, colleges, community colleges, credentialing, data mining, education technology, emerging technologies, experimentation, future, global / globalization, higher education, human-computer interaction (HCI), hybrid learning, ideas, innovation, instructional design, IT in HE, learning ecosystem, Learning Experience Design, learning preferences, liberal arts, lifelong learning, online learning, personalized/customized learning, skills, teaching & learning, technology (general), tools, United States, universities, vendors, by Daniel Christian

14 Technology Predictions for Higher Education in 2023 — from campustechnology.com by Rhea Kelly
How will technologies and practices like artificial intelligence, predictive analytics, digital transformation, and change management impact colleges and universities this year? Here’s what the experts told us.

Excerpt:

In an open call on LinkedIn, we asked higher education and ed tech industry leaders to forecast the most important trends to watch in the coming year. Their responses reflect both the challenges on the horizon — persistent cyber attacks, the disruptive force of emerging technologies, failures in project management — as well as the opportunities that technology brings to better serve students and support the institutional mission. Here are 14 predictions to help steer your technology efforts in 2023.

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Education is about to radically change: AI for the masses [McClennen & Dené Poth]

On 01/07/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, Bias | Diversity Equity & Inclusion (DE&I), bots, change, copyright/ownership/NFTs, education, education reform, education technology, emerging technologies, experimentation, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, more voice more choice more control, new business models, Personal Learning Networks (PLNs), platforms, society, student-related, teachers, teaching & learning, United States, vendors, vision/possibilities, youth, by Daniel Christian

Education is about to radically change: AI for the masses — from gettingsmart.com by Nate McClennen and Rachelle Dené Poth

Key Points:

  • AI already does and will continue to impact education – along with every other sector.
  • Innovative education leaders have an opportunity to build the foundation for the most personalized learning system we have ever seen.

Action

Education leaders need to consider these possible futures now. There is no doubt that K-12 and higher ed learners will be using these tools immediately. It is not a question of preventing “AI plagiarism” (if such a thing could exist), but a question of how to modify teaching to take advantage of these new tools.

From DSC:
They go on to list some solid ideas and experiments to try out — both for students and for teachers. Thanks Nate and Rachelle!

Also from Rachelle, see:

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To chat or not to chat…

On 01/06/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, bots, change, colleges, community colleges, content development, aggregation, repositories, education, education technology, experimentation, faculty, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, K-12 related, learning, learning ecosystem, mathematics, platforms, research, teaching & learning, technologies for your home, tools, United States, universities, vendors, writing, by Daniel Christian

From DSC:
A few items re: ChatGPT — with some items pro-chat and other items against the use of ChatGPT (or at least to limit its use).

How About We Put Learning at the Center? — from insidehighered.com by John Warner
The ongoing freak-out about ChatGPT sent me back to considering the fundamentals.

Excerpt:

So, when people express concern that students will use ChatGPT to complete their assignments, I understand the concern, but what I don’t understand is why this concern is so often channeled into discussions about how to police student behavior, rather than using this as an opportunity to exam the kind of work we actually ask students (and faculty) to do around learning.

If ChatGPT can do the things we ask students to do in order to demonstrate learning, it seems possible to me that those things should’ve been questioned a long time ago. It’s why I continue to believe this technology is an opportunity for reinvention, precisely because it is a threat to the status quo.

Top AI conference bans use of ChatGPT and AI language tools to write academic papers — from theverge.com by James Vincent; with thanks to Anna Mills for this resource
AI tools can be used to ‘edit’ and ‘polish’ authors’ work, say the conference organizers, but text ‘produced entirely’ by AI is not allowed. This raises the question: where do you draw the line between editing and writing?

Excerpt:

The International Conference on Machine Learning (ICML) announced the policy earlier this week, stating, “Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless the produced text is presented as a part of the paper’s experimental analysis.” The news sparked widespread discussion on social media, with AI academics and researchers both defending and criticizing the policy. The conference’s organizers responded by publishing a longer statement explaining their thinking. (The ICML responded to requests from The Verge for comment by directing us to this same statement.)

How to… use AI to teach some of the hardest skills — from oneusefulthing.substack.com by Ethan Mollick
When errors, inaccuracies, and inconsistencies are actually very useful

Excerpt:

Instead, I want to discuss the opportunity provided by AI, because it can help us teach in new ways. The very things that make AI scary for educators — its tedency to make up facts, its lack of nuance, and its ability to make excellent student essays — can be used to make education better.

This isn’t for some future theoretical version of AI. You can create assignments, right now, using ChatGPT, that we will help stretch students in knew ways. We wrote a paper with the instructions. You can read it here, but I also want to summarize our suggestions. These are obviously not the only ways to use AI to educate, but they solve some of the hardest problems in education, and you can start experimenting with them right now.

NYC education department blocks ChatGPT on school devices, networks — from ny.chalkbeat.org by Michael Elsen-Rooney

Excerpt:

New York City students and teachers can no longer access ChatGPT — the new artificial intelligence-powered chatbot that generates stunningly cogent and lifelike writing — on education department devices or internet networks, agency officials confirmed Tuesday.

Teachers v ChatGPT: Schools face new challenge in fight against plagiarism — from straitstimes.com by Osmond Chia; with thanks to Stephen Downes for this resource

Excerpt:

SINGAPORE – Teachers in Singapore say they will likely have to move from assignments requiring regurgitation to those that require greater critical thinking, to stay ahead in the fight against plagiarism.

This comes on the back of the rise of ChatGPT, an intelligent chatbot that is able to spin essays and solve mathematical equations in seconds.

ChatGPT Is Not Ready to Teach Geometry (Yet) — from educationnext.org by Paul T. von Hippel
The viral chatbot is often wrong, but never in doubt. Educators need to tread carefully.

Excerpt:

Can ChatGPT provide feedback and answer questions about math in a more tailored and natural way? The answer, for the time being, is no. Although ChatGPT can talk about math superficially, it doesn’t “understand” math with real depth. It cannot correct mathematical misconceptions, it often introduces misconceptions of its own; and it sometimes makes inexplicable mathematical errors that a basic spreadsheet or hand calculator wouldn’t make.

Here, I’ll show you.

Addendum on 1/9/23:

9 ways ChatGPT saves me hours of work every day, and why you’ll never outcompete those who use AI effectively. — from .linkedin.com by Santiago Valdarrama

A list for those who write code:

  1. 1. Explaining code…
  2. Improve existing code…
  3. Rewriting code using the correct style…
  4. Rewriting code using idiomatic constructs…
  5. Simplifying code…
  6. Writing test cases…
  7. Exploring alternatives…
  8. Writing documentation…
  9. Tracking down bugs…
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AI & digital video: Likely some plusses & minuses ahead of us [Christian]

On 01/04/2023, in 21st century, 24x7x365 access, A/V -- audio/visual, art, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, collaboration, communications, computer science, content development, aggregation, repositories, corporate / business world, creativity, Daniel S. Christian, digital audio, digital video, emerging technologies, ethics, experimentation, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, law schools, legislatures / government / legal, media/film, Metaverse, music, new media literacies, platforms, presentations, productivity / tips and tricks, society, storytelling, the downsides of technology, tools, user experience (UX), vendors, videoconferencing, Virtual courts, vision/possibilities, web-based collaboration, by Daniel Christian

From DSC:
Check out the items below. As with most technologies, there are likely going to be plusses & minuses regarding the use of AI in digital video, communications, arts, and music.

Also see:

Also somewhat relevant, see:

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Here are 6 companies that are currently defining the future of [AI-based] content creation [Bardeen]

On 12/31/2022, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital audio, digital learning, digital video, education technology, experimentation, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, maker movement, platforms, productivity / tips and tricks, tools, training / L&D, vision/possibilities, by Daniel Christian

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What’s next for AI [Heikkilä and Douglas Heaven] + several other items re: AI and the future

On 12/29/2022, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, emerging technologies, future, game-changing environment, Google, human-computer interaction (HCI), tools, trends, by Daniel Christian

What’s next for AI — from technologyreview.com by Melissa Heikkilä and Will Douglas Heaven
Get a head start with our four big bets for 2023.

Excerpts:

But take the conversational skills of ChatGPT and mix them up with image manipulation in a single model and you’d get something a lot more general-purpose and powerful. Imagine being able to ask a chatbot what’s in an image, or asking it to generate an image, and have these interactions be part of a conversation so that you can refine the results more naturally than is possible with DALL-E.

10 AI Predictions For 2023 — from forbes.com by Rob Toews

Excerpts (emphasis DSC):

  1. GPT-4 will be released in the next couple months—and yes, it will be a big deal.
  2. We are going to start running out of data to train large language models.
  3. For the first time, some members of the general public will begin using fully driverless cars as their day-to-day mode of transportation.
  4. Midjourney will raise venture capital funding.
  5. Search will change more in 2023 than it has since Google went mainstream in the early 2000s.

AI Trends For 2023: Industry Experts (And ChatGPT AI) Make Their Predictions — from forbes.com by Ganes Kesari

Excerpt:

To understand the top AI trends, I asked industry leaders and academic experts five questions. It’s the age of human-machine collaboration, so what better way to demonstrate this than by asking AI software about the 2023 AI trends it’s excited about? I did that too.
…

    1. What do you think was the biggest achievement in the AI space in 2022?
    2. What’s the most exciting AI trend that you look forward to materializing in 2023?
    3. What’s a fad in this space that you wish would go away next year?
    4. To get value from AI, what’s one thing that leaders can start doing today that doesn’t take big effort or money?
    5. What’s one thing that leaders should stop doing immediately to realize benefits from AI?

Is A.I. the Future of Test Prep? — from nytimes.com by Craig S. Smith (NOTE: Paywall)

Excerpt:

Riiid is one of a handful of companies that believe that A.I.’s algorithms are perfectly suited to track student performance and give individualized attention.

“Education is a complex field deeply related to cognition, motivation, peer interaction, etc.,” Mr. Jang wrote in an email. “We draw insights from learning science, cognitive biology, data science, and other related areas of research for an iterative experimentation process that is challenging and time consuming — that’s why there are only a few players in the market.”

Artificial intelligence predictions 2023 — from information-age.com by Tim Adler
2023 could be the year that artificial intelligence moves from the fringes into the mainstream, as AI becomes widely adopted by healthcare, travel and banking. Five experts give their predictions

Excerpt:

Worldwide spending on artificial intelligence will hit half a billion dollars this year, according to IDC. Five artificial intelligence experts give Information Age their predictions as to how adoption of AI will accelerate in 2023.

.

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ChatGPT and The Professional’s Guide to Using AI [Miller]

On 12/22/2022, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, change, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, entrepreneurship, experimentation, future, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, lifelong learning, microlearning, online tutoring, productivity / tips and tricks, professional development, society, teachers, teaching & learning, technologies for your home, tools, training / L&D, universities, virtual tutoring, vision/possibilities, writing, by Daniel Christian

ChatGPT and The Professional’s Guide to Using AI — from linkedin.com by Allie K. Miller

Excerpt:

Real Ways Professionals Can Use ChatGPT to Improve Job Performance
Let’s dive into some real examples of how professionals across sales, marketing, product management, project management, recruiting, and teaching can take advantage of this new tool and leverage it for even more impact in their careers.

Teachers and ChatGPT

  1. Help with grading and feedback on student work.
    Example prompt: “Tell me every grammar rule that’s been violated in this student’s essay: [paste in essay]”
  2. Create personalized learning materials.
    Example prompt: “Help me explain photosynthesis to a 10th grade student in a way similar to sports.”
  3. Generate lesson plans and activities.
    Example prompt: “Create an activity for 50 students that revolves around how to learn the different colors of the rainbow.” or “Generate a lesson plan for a high school English class on the theme of identity and self-discovery, suitable for a 45-minute class period.”
  4. Write fake essays several reading levels below your class, then print them out, and have your students review and edit the AI’s work to make it better.
    Example prompt: “Generate a 5th grade level short essay about Maya Angelou and her work.”
  5. Providing one-on-one support to students.
    Example prompt: “How can I best empower an introverted student in my classroom during reading time?”

From DSC:
I haven’t tried these prompts. Rather I post this because I’m excited about the potential of Artificial Intelligence (AI) to help people teach and to help people to learn.

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Allie Miller: “ChatGPT is changing the game, & I want to share real things you can do with this AI system today.”

On 12/15/2022, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, change, changing business models, cloud-based computing / apps / other cloud-related, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, emerging technologies, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, lifelong learning, tools, trends, workplace, by Daniel Christian

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AI bot ChatGPT stuns academics with essay-writing skills and usability [Hern]

On 12/14/2022, in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, computer science, content development, aggregation, repositories, digital learning, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, instructional design, IT in HE, law schools, learning ecosystem, Learning Experience Design, Microsoft, online media, open courseware and systems, platforms, productivity / tips and tricks, programming, the downsides of technology, tools, UK, United States, universities, vendors, writing, by Daniel Christian

AI bot ChatGPT stuns academics with essay-writing skills and usability — from theguardian.com by Alex Hern
Latest chatbot from Elon Musk-founded OpenAI can identify incorrect premises and refuse to answer inappropriate requests

Excerpt:

Professors, programmers and journalists could all be out of a job in just a few years, after the latest chatbot from the Elon Musk-founded OpenAI foundation stunned onlookers with its writing ability, proficiency at complex tasks, and ease of use.

The system, called ChatGPT, is the latest evolution of the GPT family of text-generating AIs. Two years ago, the team’s previous AI, GPT3, was able to generate an opinion piece for the Guardian, and ChatGPT has significant further capabilities.

In the days since it was released, academics have generated responses to exam queries that they say would result in full marks if submitted by an undergraduate, and programmers have used the tool to solve coding challenges in obscure programming languages in a matter of seconds – before writing limericks explaining the functionality.

 

Also related/see:

AI and the future of undergraduate writing — from chronicle.com by Beth McMurtrie

Excerpts:

Is the college essay dead? Are hordes of students going to use artificial intelligence to cheat on their writing assignments? Has machine learning reached the point where auto-generated text looks like what a typical first-year student might produce?

And what does it mean for professors if the answer to those questions is “yes”?
…
Scholars of teaching, writing, and digital literacy say there’s no doubt that tools like ChatGPT will, in some shape or form, become part of everyday writing, the way calculators and computers have become integral to math and science. It is critical, they say, to begin conversations with students and colleagues about how to shape and harness these AI tools as an aide, rather than a substitute, for learning.

“Academia really has to look at itself in the mirror and decide what it’s going to be,” said Josh Eyler, director of the Center for Excellence in Teaching and Learning at the University of Mississippi, who has criticized the “moral panic” he has seen in response to ChatGPT. “Is it going to be more concerned with compliance and policing behaviors and trying to get out in front of cheating, without any evidence to support whether or not that’s actually going to happen? Or does it want to think about trust in students as its first reaction and building that trust into its response and its pedagogy?”

 

 

 

ChatGPT Could Be AI’s iPhone Moment — from bloomberg.com by Vlad Savov; with thanks to Dany DeGrave for his Tweet on this

Excerpt:

The thing is, a good toy has a huge advantage: People love to play with it, and the more they do, the quicker its designers can make it into something more. People are documenting their experiences with ChatGPT on Twitter, looking like giddy kids experimenting with something they’re not even sure they should be allowed to have. There’s humor, discovery and a game of figuring out the limitations of the system.

 

And on the legal side of things:

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Understanding the Overlap Between UDL and Digital Accessibility

On 12/03/2022, in accessibility / UDL, adjunct faculty, adult learning, Bias | Diversity Equity & Inclusion (DE&I), colleges, community colleges, content development, aggregation, repositories, education, faculty, higher education, human-computer interaction (HCI), instructional design, IT in HE, K-12 related, law schools, Learning Experience Design, multimedia, online learning, productivity / tips and tricks, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, training / L&D, universities, usability, user experience (UX), vendors, web design and production, web-based collaboration, by Daniel Christian

Understanding the Overlap Between UDL and Digital Accessibility — from boia.org

Excerpt:

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.
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Resources for Computer Science Education Week (December 5-11, 2022)

On 12/01/2022, in career development, computer science, education, human-computer interaction (HCI), K-12 related, programming, STEAM-related, vendors, youth, by Daniel Christian

Resources for Computer Science Education Week (December 5-11, 2022) — with thanks to Mark Adams for these resources

Per Mark, here are a few resources that are intended to show students how computers can become part of their outside interests as well as in their future careers.

Educating Engineers

Maryville University

Fullstack Academy

Also see:

Computer Science Education Week is December 5-11, 2022

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MADE Podcast on Branching Scenarios [Tucker]

On 12/01/2022, in assessment, Canada, colleges, community colleges, corporate universities / corporate training, education technology, experimentation, higher education, human-computer interaction (HCI), instructional design, Learning Experience Design, multimedia, podcasting, tools, training / L&D, by Daniel Christian

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?
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