You no longer need a college degree to work at these 7 companies — from businessinsider.com by Ethan Dodd
Key points:
Which trends are on your radar? Fantastic resource for #HigherEducation about the changing ecology: Higher Learning Commission’s Annual Trends Report. https://t.co/Lzgph6u3lP
— Melanie Booth, Ed.D. (@boothmelanie) March 25, 2023
A Spotify model of personalised higher education — from timeshighereducation.com by Michael Rosemann and Martin Betts
With technology offering greater potential for a personalised approach to higher education, Michael Rosemann and Martin Betts look at what universities can learn from the ubiquitous music platform Spotify
Excerpts (emphasis DSC):
Selection, or the P(upil)-route as educationalist Dan Buckley calls it, means personalisation driven by the learner. This is the fastest-moving form of personalised learning. Not only do students benefit from true omnichannel education – choosing between face to face and online – they also independently navigate the internet’s resources and online databases in search of the knowledge that will help them to achieve their learning targets.
…
Automation, or the A-route, is the new enabler of personalised learning. As with personalised medicine, finance or entertainment, education is starting to use digital technologies to unlock new models of tailored engagement. While for most universities, AI-driven, personalised education is not an option as the required capabilities are missing and significant investments would be necessary, there is a range of alternative forms of automated personalised learning. For this, we look to providers outside the sector for inspiration.
Here are Spotify-inspired ideas that universities ambitious enough to provide personalised learning could explore.
From DSC:
Rosemann & Betts use the term “omnichannel education” — I like that term. Very nice.
60% of Higher Education Leaders Say Continuing Education is Not Well-Integrated into Institutional Portfolio Offerings — from finance.yahoo.com
Despite Belief that CE Programming Positively Affects Enrollments in Traditional Programming, CE Units Remain Under-Resourced
Excerpt:
TORONTO, March 22, 2023 /PRNewswire-PRWeb/ — While 71% of senior leaders within higher education institutions support scale and growth of continuing education (CE), more than half (57%) feel that their CE units are understaffed to execute on institutional goals. This is according to the 2023 State of Continuing Education report. Published by higher education engagement platform leader Modern Campus, in partnership with the Canadian Association for University Continuing Education (CAUCE), The EvoLLLution, and the University Professional and Continuing Education Association (UPCEA), the study explores professional, continuing, and online (PCO) unit program offerings, institutional support and capabilities, perceptions of the competitive landscape, and continuing education collaboration and integration within the larger institution.
“The future higher education institution is rooted in CE, but delivering on that promise requires both strategic and operational support from the institution,” said Amrit Ahluwalia, senior director of content and strategic insights at Modern Campus and editor-in-chief of The EvoLLLution. “It is our sincere belief that the findings of this study will enable CE professionals to advocate for greater resources and allow them to be seen for the critical functions that their portfolio plays for institutions and learners alike.”
On the K-12 side of things:
6 Ways to Use ChatGPT to Save Time — from edutopia.org by Todd Finley
Teachers can use the artificial intelligence tool to effectively automate some routine tasks.
Excerpt:
In the paragraphs that follow, I’ve divided these tasks into the following categories: planning instruction, handouts and materials, differentiation, correspondence, assessment, and writing instruction and feedback. Welcome to the revolution.
Lesson plans: Ask ChatGPT to write a lesson plan on, say, Westward Expansion. The tool composes assessments, activities, scaffolding, and objectives. Want that in the form of problem-based learning or revised for a flipped classroom? ChatGPT can adjust the lesson plan according to your instructions.
I’m a high school math and science teacher who uses ChatGPT, and it’s made my job much easier — from businessinsider-com.cdn.ampproject.org by Aaron Mok; with thanks to Robert Gibson on LinkedIn for this resource
Excerpt:
On the higher education side of things:
Using AI to make teaching easier & more impactful — from oneusefulthing.substack.com by Ethan Mollick
Here are five strategies and prompts that work for GPT-3.5 & GPT-4
Excerpt:
But one thing that is not changing is the best way for people to learn. We have made large advances in recent years in understanding pedagogy – the science of learning. We know some of the most effective techniques for making sure material sticks and that it can be retrieved and used when needed most.
Unfortunately, many of these advanced pedagogical techniques are time-consuming to prepare, and many instructors are often overworked and do not have the resources and time to add them to their teaching repertoire. But AI can help. In the rush to deliver AI benefits directly to students, the role of teachers is often overlooked.
Teaching: What You Need to Know About ChatGPT — from chronicle.com by Beth McMurtrie
Excerpt:
Digital literacy is more important than ever. Artificial-intelligence tools, and generative AI in particular, raise a host of ethical, political, economic, and social questions. Plus, this tech is soon going to be everywhere, including students’ future professions. (The technology behind ChatGPT, in fact, just got an upgrade this week.) Colleges need to figure out how to graduate digitally savvy students in all disciplines.
“The integration of technology into our lives is so pervasive that the restriction of education about AI to the computer scientists and the computer engineers makes no more sense than the restriction of taking English classes by English majors,” said Weber.
Designing Virtual Edtech Faculty Development Workshops That Stick: 10 Guiding Principles — from er.educause.edu by Tolulope (Tolu) Noah
These ten principles offer guidance on ways to design and facilitate effective and engaging virtual workshops that leave faculty feeling better equipped to implement new edtech tools.
Excerpt:
I share here ten guiding principles that have shaped my design and facilitation of virtual synchronous edtech workshops. These guiding principles are based on lessons learned in both my previous role as a professional learning specialist at a major technology company and my current role as a faculty developer at a university. In the spirit of James M. Lang’s book Small Teaching, my hope is that the principles shared here may prompt reflection on the small yet impactful moves academic technology specialists, instructional designers, and educational developers can make to create virtual learning experiences whereby faculty leave feeling better equipped to implement the edtech tools they have learned.
Somewhat relevant/see:
Evidence-Based Learning Design 101 — by Dr. Philippa Hardman
A practical guide on how to bake the science of learning into the art of course design
Excerpt:
As I reflect on the experience and what I’ve learned so far, I thought I’d share a response to the question I probably get asked most: what process do you use to go from an idea to a designed learning experience?
So, let’s do a rapid review of the four step process I and my bootcamp alumni use – aka the DOMS™? process – to go from zero to a designed learning experience.
Territorium Introduces AI-Powered System to Track Skills and Competencies from K–12 to Career — from campustechnology.com by Kate Lucariello
Excerpt:
Global ed tech provider Territorium has launched LifeJourney, a suite of AI-powered tools for users to keep track of education, job skills, and career readiness capabilities. With the LifeJourney toolkit’s comprehensive individual records all in one place, students can provide quick and easily accessible information to prospective employers, according to the company. The suite of tools keeps track of progress and achievements from K–12 through higher education and career readiness.
From DSC:
This type of comprehensive learner record is a piece of the vision that I’ve been tracking at “Learning from the Living [Class] Room” — where I call it a Cloud-Based Learner Profile.
Also relevant/see:
College Accreditation 101: How It Works & Why It Matters — from business-essay.com; with thanks to Lili North for this resource
Excerpt:
Entering a prestigious college and getting a quality education is one of the top priorities for high school graduates. But how do you know if the college you are considering is really worth it?
Well, luckily, there is accreditation: a process of evaluating educational institutions. Accreditation is an important factor to consider when selecting a college: after all, unaccredited schools don’t provide you with widely recognized diplomas and can leave you with insufficient knowledge and skills.
Want to know more? You’re in the right place! This article covers the essential information every college applicant should know about accreditation.
Also relevant/see:
Addendum on 3/18/23:
Credentialing Everything: A Primer on Learning and Employment Records and Digital Wallets — from gettingsmart.com by Nate McClennen and Rachelle Dené Poth
Key Points
Measuring Learning Growth: Competencies and Standards — from gettingsmart.com by Nate McClennen and Rebecca Midles
Key Points
Exploring generative AI and the implications for universities — from universityworldnews.com
Excerpt:
This is part of a weekly University World News special report series on ‘AI and higher education’. The focus is on how universities are engaging with ChatGPT and other generative artificial intelligence tools. The articles from academics and our journalists around the world are exploring developments and university work in AI that have implications for higher education institutions and systems, students and staff, and teaching, learning and research.
Teaching: A University-Wide Language for Learning — from chronicle.com by Beckie Supiano
Excerpt (emphasis DSC):
Last week, as I was interviewing Shaun Vecera about a new initiative he directs at the University of Iowa, he made a comment that stopped me in my tracks. The initiative, Learning at Iowa, is meant to create a common vocabulary, based on cognitive science, to support learning across the university. It focuses on “the three M’s for effective learning”: mind-set, metacognition, and memory.
“Not because those are the wrong ways of talking about that. But when you talk about learning, I think you can easily see how these skills transfer across not just courses, but also transfer from the university into a career.”
From DSC:
This reminds me of what I was trying to get at here — i.e., let’s provide folks with more information on learning how to learn.
Also relevant/see:
Changing your teaching takes more than a recipe — — from chronicle.com by Beckie Supiano
Professors have been urged to adopt more effective practices. Why are their results so mixed?
Excerpts:
When the researchers asked their interview subjects how they first learned about peer instruction, many more cited informal discussions with colleagues than cited more formal channels like workshops. Even fewer pointed to a book or an article.
So even when there’s a really well-developed recipe, professors aren’t necessarily reading it.
…
In higher ed, teaching is often seen as something anyone who knows the content can automatically do. But the evidence suggests instead that teaching is an intellectual exercise that adds to subject-matter expertise.
This teaching-specific math knowledge, the researchers note, could be acquired in teacher preparation or professional development, however, it’s usually created on the job.
“Now, I’m much more apt to help them develop a deeper understanding of how people learn from a neuroscientific and cognitive-psychology perspective, and have them develop a model for how students learn.”
Erika Offerdahl, associate vp and director of the Transformational Change Initiative at WSU
From DSC:
I love this part too:
There’s a role here, too, for education researchers. Not every evidence-based teaching practice has been broken into its critical components in the literature,
Challenging ‘Bad’ Online Policies and Attitudes — from insidehighered.com by Susan D’Agostino
Academic and industry leaders spoke with conviction at the SXSW EDU conference this week about approaches that impede educational access to motivated, capable learners.
Excerpts:
“It’s driven by artificial intelligence,” Barnes said of IBM’s training and reskilling effort. “It’s a Netflix-like interface that pushes content. Or an employee can select content…
…
The leaders discussed the ways in which colleges, policymakers, and employers might work together to help more Americans find or advance in viable employment, while also addressing the workforce skills gap. But some “bad” policies and attitudes about online learning undermine their efforts to work together, expand access and deliver outcomes to motivated, capable learners.
“Employers were saying, ‘We have job openings we can’t fill, and we want to work with the education system, but it is so unbelievably frustrating because they’re very rigid, and they don’t want to customize to our needs,’” Hansen said. These employers sought workforce training that could produce a pipeline of learners-turned-employees, and Hansen said they told him, “If you can do that, I’ll pay you.”
Fostering sustainable learning ecosystems — from linkedin.com by Patrick Blessinger
Excerpt (emphasis DSC):
Learning ecosystems
As today’s global knowledge society becomes increasingly interconnected and begins to morph into a global learning society, it is likely that formal, nonformal, and informal learning will become increasingly interconnected. For instance, there has been an explosion of new self-directed e-learning platforms such as Khan Academy, Open Courseware, and YouTube, among others, that help educate billions of people around the world.
A learning ecosystem includes all the elements that contribute to a learner’s overall learning experience. The components of a learning ecosystem are numerous, including people, technology platforms, knowledge bases, culture, governance, strategy, and other internal and external elements that have an impact on learning. Therefore, moving forward, it is crucial to integrate learning across formal, nonformal, and informal learning processes and activities in a more strategic way.
