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

Shannon Ahern teaching her class with the help of a ChatGPT-generated slide. Photo courtesy of Shannon Ahern

Excerpt:

  • Shannon Ahern, a high school math and science teacher, was afraid that ChatGPT would take her job.
  • But her mind changed after she started using the AI for class prep, which saved her hours of time.
  • Here’s how Ahern is using ChatGPT to make her job easier, as told to Insider’s Aaron Mok.

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.

Comprehensive Learner Records -- The Territorium CLR is a holistic picture of an individual’s skills and competencies

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

  • Credentials and learner records are accelerating the shift to competency-based learning.
  • They help learners manage unbundled learning by collecting evidence from multiple providers and provide quicker and more personalized onramps to high-wage employment.

Measuring Learning Growth: Competencies and Standards — from gettingsmart.com by Nate McClennen and Rebecca Midles

Key Points

  • The role of competencies has become increasingly important as employers, students and educators realize the impact of transferable skill deficit in young people.
  • The challenge, however, becomes implementation.
 

ChatGPT as a teaching tool, not a cheating tool — from timeshighereducation.com by Jennifer Rose
How to use ChatGPT as a tool to spur students’ inner feedback and thus aid their learning and skills development

Excerpt:

Use ChatGPT to spur student’s inner feedback
One way that ChatGPT answers can be used in class is by asking students to compare what they have written with a ChatGPT answer. This draws on David Nicol’s work on making inner feedback explicit and using comparative judgement. His work demonstrates that in writing down answers to comparative questions students can produce high-quality feedback for themselves which is instant and actionable. Applying this to a ChatGPT answer, the following questions could be used:

  • Which is better, the ChatGPT response or yours? Why?
  • What two points can you learn from the ChatGPT response that will help you improve your work?
  • What can you add from your answer to improve the ChatGPT answer?
  • How could the assignment question set be improved to allow the student to demonstrate higher-order skills such as critical thinking?
  • How can you use what you have learned to stay ahead of AI and produce higher-quality work than ChatGPT?
 

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.

AI and higher education -- a report from University World News

 

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.

Lets provide folks with more information on learning how to learn

Lets provide folks with more information on learning how to learn

Lets 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.

Learning ecosystems -- formal, informal, and nonformal sources of learning will become more tightly integrated in the future

 


Transfers From Community College Continue to Fall — from insidehighered.com by Sara Weissman
Despite the decline in transfers, a new report also says six-year college completion rates among transfer students improved.

Excerpt:

Transfers between community colleges and four-year institutions continued to drop last fall, an ongoing trend since the onset of the COVID-19 pandemic, according to a new report from the National Student Clearinghouse Research Center. But the report also contains some good news, including that six-year college completion rates among transfer students improved, despite the disruptive nature of the pandemic.

“Upward transfer has continued to decline pretty steadily at this point in every year since the pandemic,” Shapiro said during a media briefing Wednesday. “This suggests that baccalaureate attainment is beginning to appear increasingly out of reach for community college students,” particularly for students enrolled in urban and suburban community colleges, which saw steeper declines in transfers to universities than community colleges in towns or rural areas.

 

The Librarian: Can we prompt ChatGPT to generate reliable references? — from drphilippahardman.substack.com by Dr. Philippa Hardman

Lessons Learned

  • Always assume that ChatGPT is wrong until you prove otherwise.
  • Validate everything (and require your students to validate everything too).
  • Google Scholar is a great tool for validating ChatGPT outputs rapidly.
  • The prompt works better when you provide a subject area, e.g. visual anthropology, and then a sub-topic, e.g. film making.
  • Ignore ChatGPT’s links – validate by searching for titles & authors, not URLs.
  • Use intentional repetition, e.g. of Google Scholar, to focus ChatGPT’s attention.
  • Be aware: ChatGPT’s outputs end at 2021. You need to fill in the blanks since then.
 

ChatGPT is Everywhere — from chronicle.com by Beth McMurtrie
Love it or hate it, academics can’t ignore the already pervasive technology.

Excerpt:

Many academics see these tools as a danger to authentic learning, fearing that students will take shortcuts to avoid the difficulty of coming up with original ideas, organizing their thoughts, or demonstrating their knowledge. Ask ChatGPT to write a few paragraphs, for example, on how Jean Piaget’s theories on childhood development apply to our age of anxiety and it can do that.

Other professors are enthusiastic, or at least intrigued, by the possibility of incorporating generative AI into academic life. Those same tools can help students — and professors — brainstorm, kick-start an essay, explain a confusing idea, and smooth out awkward first drafts. Equally important, these faculty members argue, is their responsibility to prepare students for a world in which these technologies will be incorporated into everyday life, helping to produce everything from a professional email to a legal contract.

“Artificial-intelligence tools present the greatest creative disruption to learning that we’ve seen in my lifetime.”

Sarah Eaton, associate professor of education at the University of Calgary



Artificial intelligence and academic integrity, post-plagiarism — from universityworldnews.com Sarah Elaine Eaton; with thanks to Robert Gibson out on LinkedIn for the resource

Excerpt:

The use of artificial intelligence tools does not automatically constitute academic dishonesty. It depends how the tools are used. For example, apps such as ChatGPT can be used to help reluctant writers generate a rough draft that they can then revise and update.

Used in this way, the technology can help students learn. The text can also be used to help students learn the skills of fact-checking and critical thinking, since the outputs from ChatGPT often contain factual errors.

When students use tools or other people to complete homework on their behalf, that is considered a form of academic dishonesty because the students are no longer learning the material themselves. The key point is that it is the students, and not the technology, that is to blame when students choose to have someone – or something – do their homework for them.

There is a difference between using technology to help students learn or to help them cheat. The same technology can be used for both purposes.

From DSC:
These couple of sentences…

In the age of post-plagiarism, humans use artificial intelligence apps to enhance and elevate creative outputs as a normal part of everyday life. We will soon be unable to detect where the human written text ends and where the robot writing begins, as the outputs of both become intertwined and indistinguishable.

…reminded me of what’s been happening within the filmmaking world for years (i.e., such as in Star Wars, Jurrasic Park, and many others). It’s often hard to tell what’s real and what’s been generated by a computer.
 

As Colleges Focus on Quality in Online Learning, Advocates Ask: What About In-Person Courses? — from chronicle.com by Taylor Swaak

Excerpt (emphasis DSC):

As colleges’ online catalogs grow, so too has the push to develop standards of quality for those courses. But are in-person classes getting the same attention?

If you ask many online-education advocates, the answer is “no.” And the solution, many say, is for colleges to adopt standards and policies that set consistent expectations for quality across all courses, whether they’re remote or in a classroom.

While decades of research and the pandemic-spurred expansion of online learning have helped demystify it, and build confidence in its efficacy, these advocates say the misconception lingers that remote education is inherently lower in quality than instruction in the classroom. And that stigma, they say, puts a magnifying glass to online ed, while largely leaving in-person classes to business as usual.

The focus instead, Simunich said, should be on a big-picture question: Is this a high-quality learning experience for students?

From DSC:
These are great points. I find them to have been very true.

Reflections of a College Adjunct After 31 Years — from insidehighered.com by Stephen Werner
We’ve proven over and over that there’s enough work to give many of us full-time positions, writes Stephen Werner, but things are moving in the opposite direction.

Four Pieces of Advice (emphasis DSC)
In closing, I offer the following recommendations:

  • See the big picture. We adjuncts are workers in the gig economy. We are part of the new normal where so many jobs are on-demand, temporary work, with few or no benefits and no long-term security. Even with our M.A.s and Ph.D.s, we have much in common with workers at all levels, including the lowest-skilled workers.
  • Make a serious effort to meet and talk to other adjuncts.
  • Unionize! Organize with your fellow adjuncts! 
  • Start saving for retirement.

The fact is that college and universities are totally dependent on us. They know it. We adjuncts need to act like we know it, too. We need to overcome our isolation and work together to have a voice.

How Mega-Universities Manage to Teach Hundreds of Thousands of Students — from edsurge.com by Robert Ubell (Columnist)

Excerpt:

One key difference at SNHU is how it hires faculty, relying on an academic army of about 8,000 adjuncts who earn $2,000 per semester for teaching an undergrad course and $2,500 for a grad course. Reliance on adjuncts, especially in online instruction, is a national trend. Today, gig faculty occupy about three-quarters of all U.S. college instructors. But Southern New Hampshire and other online operations depend even more on contingent labor than most of their traditional peers.

For colleges to depend entirely on an Uber-style instructional workforce may be financially prudent, but I argue it’s academically risky, with little continuity and no permanent faculty. It’s also exploitative, with instructors ending up in precarious work arrangements without living wages and benefits.

First Person: Why college matters for people serving extreme sentences — from opencampusmedia.org by Rahsaan “New York” Thomas

Excerpt:

For incarcerated people, the quality or success of a college program is often measured by recidivism rates. By that standard, Mount Tamalpais, formerly the Prison University Project, is a success. Its students had a recidivism rate of 17 percent compared to the 65 percent recidivism rate for the California Department of Corrections and Rehabilitation as a whole, according to a 2011 program evaluation.

Personally, I see education as the key to my success from behind bars. After getting sentenced to a term beyond my life expectancy I needed a path to redemption in the eyes of my mother, my sons, and society that didn’t involve going home. I came up with becoming a writer because my voice was the one part of me that was still free.

 
© 2024 | Daniel Christian