Employers value microcredentials but don’t know how to assess their quality — from highereddive.com by Natalie Schwartz

Dive Brief:

  • Although a majority of surveyed employers say they value alternative credentials, many also harbor concerns over assessing the quality of education and understanding the skills and competencies they represent.
  • That’s according to a recent survey of 510 employers from the University Professional and Continuing Education Association, also known as UPCEA, and Collegis Education, a technology services provider for colleges.
  • Despite their concerns, 23% of respondents said the greatest benefit alternative credentials provide are giving workers real-world experience. Also, 16% of respondents said alternative credentials help employees develop specialized skills and 13% said they improve performance.
 

It’s Not Just Our Students — ChatGPT Is Coming for Faculty Writing — from chronicle.com by Ben Chrisinger (behind a paywall)
And there’s little agreement on the rules that should govern it.

Excerpt:

While we’ve been busy worrying about what ChatGPT could mean for students, we haven’t devoted nearly as much attention to what it could mean for academics themselves. And it could mean a lot. Critically, academics disagree on exactly how AI can and should be used. And with the rapidly improving technology at our doorstep, we have little time to deliberate.

Already some researchers are using the technology. Among only the small sample of my work colleagues, I’ve learned that it is being used for such daily tasks as: translating code from one programming language to another, potentially saving hours spent searching web forums for a solution; generating plain-language summaries of published research, or identifying key arguments on a particular topic; and creating bullet points to pull into a presentation or lecture.

 

Why Faculty Must Learn to Swim in Other Waters — from insidehighered.com by Rachel Toor, professor of creative writing at Eastern Washington University in Spokane.

Excerpts:

Academics, even with the best intentions, and especially if we’ve never left school, don’t realize that we’re all swimming in our own little pond.

Most faculty members continue to teach how they were taught. We focus on our disciplines. We indoctrinate students into academic conventions and genres. We sling jargon like short-order cooks. We ask students to write 20-page research papers—the likes of which few professions would ever require.

But how often do faculty members require students to create final projects that will help them get a job?

How many professors are adept at writing a one-page job cover letter? Or a one-page résumé?

From DSC:
I appreciate these great thoughts here from Rachel Toor. Besides helping students learn about networking (and actually putting those skills into practice), applying their research skills to finding good job/organization fits, write effective cover letters, etc., I think such real-world skill development needs to be integrated into the very core of what they are teaching. It needs to be integrated into the curriculum. 
 

Why The Education Economy Is The Next Big Thing For The American Workforce — from fastcompany.com by Brandon Busteed
How can integrating our educational system, our employers, and our job creators affect our modern economy?

Excerpts (emphasis DSC):

Though the economy and education have long been topics of top concern to Americans, we haven’t created strong linkages between the two.

The topics are more like two castles with a large moat between them. Yet there is nothing more important we can do as a country than to build the world’s most effective “educonomy,” which would seamlessly integrate our educational system, our employers, and our job creators.

All told, we collected the voices of close to 1 million Americans on this subject in the past year alone. And what we’ve learned is alarming:

Student engagement in school drops precipitously from 5th grade through 12th grade. About three quarters of elementary school kids (76%) are engaged in school, while only 44% of high school kids are engaged. The longer students stay in school, the less engaged they become. If we were doing this right, the trend would be going in the exact opposite direction.

From DSC:
I appreciated the imagery of the economy and education being like two castles with a large moat between them. I, like many others, also use the term siloed to describe our various learning ecosystems — PreK-12, higher education and vocational programming, and the corporate/business world (I realize I could also include those who work in other areas such as the government, but hopefully folks get the gist of what I’m trying to say).

But here’s the most disturbing part (albeit likely not a surprise to those working within K-12 environments):

About seven in 10 K-12 teachers are not engaged in their work (69%), and as a profession, teachers are dead last among all professions Gallup studied in saying their “opinions count” at work and their “supervisors create an open and trusting environment.” We also found that teacher engagement is the most important driver of student engagement. We’ll never improve student engagement until we boost teachers’ own workplace engagement first.

Our older daughter works in an elementary school where several of the teachers left prior to Christmas and more have announced that they are leaving after this academic year. For teachers to leave halfway through the year, you know something is majorly wrong!

I think that legislators are part of the problem, as they straight-jacket teachers, principals, and administrators with all kinds of standardized testing.

Standardized testing is like a wrecking ball on our educational systems -- impacting things like our students' and teachers' sense of joy, play, wonder, and motivation

I would think that such testing dictates the pace and the content and the overall agendas out there. I don’t recall taking nearly as many standardized tests as our youth do today. Looking back, each of my teachers was engaged and seemed to be happy and enthusiastic. I don’t think that’s the case any longer. Let’s ask the teachers — not the legislators — why that is the case and what they would recommend to change things (before it’s too late).

 

Does ‘Flipped Learning’ Work? A New Analysis Dives Into the Research — from edsurge.com by Jeffrey R. Young

Excerpt:

The researchers do think that flipped learning has merit — if it is done carefully. They end their paper by presenting a model of flipped learning they refer to as “fail, flip, fix and feed,” which they say applies the most effective aspects they learned from their analysis. Basically they argue that students should be challenged with a problem even if they can’t properly solve it because they haven’t learned the material yet, and then the failure to solve it will motivate them to watch the lecture looking for the necessary information. Then classroom time can be used to fix student misconceptions, with a mix of a short lecture and student activities. Finally, instructors assess the student work and give feedback.

From DSC:
Interesting. I think their “fail, flip, fix and feed” method makes sense.

Also, I do think there’s merit in presenting information ahead of time so that students can *control the pace* of listening/processing/absorbing what’s being relayed. (This is especially helpful for native language differences.) If flipped learning would have been a part of my college experience, it would have freed me from just being a scribe. I could have tried to actually process the information while in class.

 

Colleges and universities that contract with an online program management company need to submit details about those arrangements by May 1.

Oversight Coming for Online Program Providers — from insidehighered.com by Katherine Knott

Excerpt:

The Education Department is planning to increase oversight of the outside contractors that colleges and universities use to help run online programs.

To address that finding, the department said in guidance issued Wednesday that OPMs and any entity that provides recruitment services for a college are considered third-party servicers, subjecting the companies’ contracts with institutions to regular audits. Colleges and universities are required to report details of their agreements to the department by May 1.

 

Podcast Special: Using Generative AI in Education — from drphilippahardman.substack.com by Dr. Philippa Hardman
An exploration of the risks and benefits of Generative AI in education, in conversation with Mike Palmer

Excerpt:

Among other things, we discussed:

  • The immediate challenges that Generative AI presents for learning designers, educators and students.
  • The benefits & opportunities that Generative AI might offer the world of education, both in terms of productivity and pedagogy.
  • How bringing together the world of AI and the world of learning science, we might revolutionise the way we design and deliver learning experiences.

Speaking of podcasts, this article lists some podcasts to check out for those working in — or interested in — higher education.


Also relevant/see:

 


Also relevant/see:

Are librarians the next prompt engineers? — from linkedin.com by Laura Solomon

Excerpt:

  • Without the right prompt, AI fails to provide what someone might be looking for. This probably is a surprise to no one, especially librarians. If you remember the days before Google, you know exactly how this tended to play out. Google became dominant in large part to its inherent ability to accept natural language queries.
  • A small industry is now popping up to provide people with the correct, detailed prompts to get what they want when interacting with AI. The people doing this work are referred to as “prompt engineers.”
  • Prompt engineers aren’t just people who write queries to be directed to an AI. They also have tend to have a great deal of technical expertise and a deep understanding of how artificial intelligences and natural language can intersect.
  • Prompt engineers don’t work for free.

The above item links to The Most Important Job Skill of This Century — from theatlantic.com by Charlie Warzel
Your work future could depend on how well you can talk to AI. 


Also relevant/see:

My class required AI. Here’s what I’ve learned so far. — from oneusefulthing.substack.com by Ethan Mollick
(Spoiler alert: it has been very successful, but there are some lessons to be learned)

Excerpt:

I fully embraced AI for my classes this semester, requiring students to use AI tools in a number of ways. This policy attracted a lot of interest, and I thought it worthwhile to reflect on how it is going so far. The short answer is: great! But I have learned some early lessons that I think are worth passing on.

AI is everywhere already
Even if I didn’t embrace AI, it is also clear that AI is now everywhere in classes. For example, students used it to help them come up with ideas for class projects, even before I even taught them how to do that. As a result, the projects this semester are much better than previous pre-AI classes. This has led to greater project success rates and more engaged teams. On the downside, I find students also raise their hands to ask questions less. I suspect this might be because, as one of them told me, they can later ask ChatGPT to explain things they didn’t get without needing to speak in front of the class. The world of teaching is now more complicated in ways that are exciting, as well as a bit unnerving.

 

The Broken Higher Education System: Addressing Stakeholder Needs for a More Adaptive Model — from educationoneducation.substack.com

Excerpt:

Higher education Chief Academic Officers (CAOs) must shift their perspective and strive to increase customer satisfaction to ensure the highest quality of educational products. A recent survey by Higher Education found that only 25% of customers were satisfied with the results higher education provided, contradicting the satisfaction differences of 99% of CAOs. Clearly, a disconnect exists between what higher education leaders deliver and what students, employers, and the changing labor market requirements are. To bridge this gap, higher education must develop products focusing on stakeholder feedback in product design, job requirements, and practical skills development.

From DSC:
So in terms of Design Thinking for reinventing lifelong learning, it seems to me that we need much more collaboration between the existing siloes. That is, we need students, educators, administrators, employers, and other stakeholders at the (re)design table. More experiments and what I call TrimTab Groups are needed.

But I think that the culture of many institutions of traditional higher education will prevent this from occurring. Many in academia shy away from (to put it politely) the world of business (even though they themselves ARE a business). I know, it’s not fair nor does it make sense. But many faculty members lean towards much more noble purposes, while never seeing the mounting gorillas of debt that they’ve heaped upon their students’/graduates’ backs. Those in academia shouldn’t be so quick to see themselves as being so incredibly different from those working in the corporate/business world.

The following quote seems appropriate to place here:


Along the lines of other items in the higher education space, see:

New Data Shows Emergency Pandemic Aid Helped Keep 18 Million Students Enrolled — from forbes.com by Edward Conroy

Excerpt:

The Department of Education (ED) has released new data showing that 18 million students were helped by emergency aid for colleges and universities throughout the height of the COVID-19 pandemic, more than half of which was used to provide emergency grants to students. These funds were provided through three rounds of Higher Education Emergency Relief Funds (HEERF) In total, $76.2 billion was provided, with half of those funds going to support students directly. Unusually for funding in higher education, the money was not heavily means-tested, and was distributed very quickly.

The report indicates that the funds were used for several essential purposes, including student basic needs, keeping staff employed, and helping keep students enrolled. For example, students used funds to cover things like food and housing at a time when employment was drying up for many students, ensuring that the Pandemic did not plunge students who already had limited funds deeper into basic needs insecurity.

Flagships prosper, while regionals suffer — from chronicle.com by Lee Gardner
Competition is getting fierce, and the gap is widening

Excerpts:

Some key numbers are moving in the right direction at the University of Oregon. The flagship institution enrolled 5,338 freshmen in the fall of 2022, its largest entering class ever. First-year enrollment increased 16 percent over 2021, which was also a record year. Meanwhile, Western Oregon University, a regional public institution an hour’s drive north, just outside Salem, lost nearly 7 percent of its enrollment over the same period.

In 28 states, flagships have seen enrollment rise between 2010 to 2021, while regionals have trended down, according to a Chronicle analysis of U.S. Education Department data. Across all states, enrollment at 78 public flagships rose 12.3 percent from 2010 to 2021, the most recent year for which data is available. Enrollment at 396 public regional universities slumped more than 4 percent during the same period.

Chronicle analysis of federal data showed, for example, that in Michigan, a state being hit hard by demographic shifts and with no central higher-ed authority, the flagship University of Michigan at Ann Arbor saw undergraduate enrollment rise 16 percent between 2010 and 2020. Over the same period, it fell at 11 of the state’s 12 other four-year public campuses.

 

Digital credentials’ appeal is strong, while corporate upskilling moves at a ‘snail’s pace’ — from by Elyse Ashburn; with thanks to Paul Fain for this resource
Surveys out this week from IBM and LinkedIn take a closer look at the role of digital credentials and other forms upskilling in education and on the job.

Excerpt:

Interest in upskilling and short-term credentials, either as an alternative or an add-on to college, has grown steadily over the past few years. And a couple of surveys out this week take a closer look at the role digital credentials and other forms upskilling can play in bridging the gap between formal education and work.

A major IBM survey fielded in 13 countries, including the United States, found that almost half of students, job seekers, and career changers are interested in jobs in science, technology, engineering and math (STEM)—but more than 61% think they aren’t qualified because they lack the right degrees.

  • 75% of respondents thought that digital credentials were a good way to supplement traditional education, but only 47% were actually familiar with such credentialing programs.
  • Among those who’d earned a digital credential, 86% said that it helped them achieve their career goals.

Eight in 10 people surveyed said they planned to upgrade their skills in the next two years—but time, cost, or simply not knowing how to begin were major barriers. Among both students and job seekers, 40% said that they don’t know where to start in developing new professional or technical skills.

 

Why Are Students So Disengaged? — from insidehighered.com by Johanna Alonso
A new survey by Wiley finds that one-fourth of students said they would be more invested in their courses if they learned in a way that emulated their future careers.

Excerpt:

Undergraduate students are struggling to stay engaged in class—and they believe that material more directly connected to real-life issues could help solve the problem.

That’s a key finding of the recent State of the Student 2022 survey by the academic publishing company Wiley, which noted that 55 percent of undergraduate and 38 percent of graduate students said they struggle to remain interested in their classes. The same proportion of undergraduates and 34 percent of graduate students also said they have trouble retaining the material they learn.

The survey of 5,258 students and 2,452 instructors in North America was conducted in August 2022 and sought to understand the factors that most impact student success, as well as what factors instructors perceive as the most impactful.

 

Brandon Busteed (emphasis DSC):

This is a Titanic moment. The iceberg is right in front of us and there just isn’t enough time to turn the massive U.S. education/higher education/employer training ship. Unless… We all go to work on work.

From DSC:
My comment on that string from Brandon was:

And I can’t help but think that part of that work involves Design Thinking…reinventing what lifelong learning looks/acts like.

 

A quick and sobering guide to cloning yourself — from oneusefulthing.substack.com by Professor Ethan Mollick
It took me a few minutes to create a fake me giving a fake lecture.

Excerpt:

I think a lot of people do not realize how rapidly the multiple strands of generative AI (audio, text, images, and video) are advancing, and what that means for the future.

With just a photograph and 60 seconds of audio, you can now create a deepfake of yourself in just a matter of minutes by combining a few cheap AI tools. I’ve tried it myself, and the results are mind-blowing, even if they’re not completely convincing. Just a few months ago, this was impossible. Now, it’s a reality.

To start, you should probably watch the short video of Virtual Me and Real Me giving the same talk about entrepreneurship. Nothing about the Virtual Me part of the video is real, even the script was completely AI-generated.

.


From DSC:
Also, I wanted to post the resource below just because I think it’s an excellent question!

If ChatGPT Can Disrupt Google In 2023, What About Your Company? — from forbes.com by Glenn Gow

Excerpts:

Board members and corporate execs don’t need AI to decode the lessons to be learned from this. The lessons should be loud and clear: If even the mighty Google can be potentially overthrown by AI disruption, you should be concerned about what this may mean for your company.

Professions that will be disrupted by generative AI include marketing, copywriting, illustration and design, sales, customer support, software coding, video editing, film-making, 3D modeling, architecture, engineering, gaming, music production, legal contracts, and even scientific research. Software applications will soon emerge that will make it easy and intuitive for anyone to use generative AI for those fields and more.
.


 

Best Document Cameras for Teachers — from techlearning.com by Luke Edwards
Get the best document camera for teachers to make the classroom more digitally immersive

Along the lines of edtech, also see:

Tech & Learning Names Winners of the Best of 2022 Awards — from techlearning.com by TL Editors
This annual award celebrates recognizing the very best in EdTech from 2022

.
The Tech & Learning Awards of Excellence: Best of 2022 celebrate educational technology from the last 12 months that has excelled in supporting teachers, students, and education professionals in the classroom, for professional development, or general management of education resources and learning. Nominated products are divided into three categories: Primary, Secondary, or Higher Education.

 

Canary in the coal mine for coding bootcamps? — from theview.substack.com by gordonmacrae; with thanks to Mr. Ryan Craig for this resource

Excerpt:

If you run a software development bootcamp, a recent Burning Glass institute report should keep you awake at night.

The report, titled How Skills Are Disrupting Work, looks at a decade of labor market analysis and identifies how digital skill training and credentials have responded to new jobs.

Three trends stuck out to me:

  • The most future-proof skills aren’t technical
  • Demand for software development is in decline
  • One in eight postings feature just four skill sets

These three trends should sound a warning for software development bootcamps, in particular. Let’s see why, and how you can prepare to face the coming challenges.


Also relevant/see:

Issue #14: Trends in Bootcamps — from theview.substack.com by gordonmacrae

Excerpt:

Further consolidation of smaller providers seems likely to continue in 2023. A number of VC-backed providers will run out of money.

A lot of bootcamps will be available cheaply for any larger providers, or management companies. Growth will continue to be an option in the Middle East, as funding doesn’t look like drying up any time soon. And look for the larger bootcamps to expand into hire-train-deploy, apprenticeships or licensing.

As Alberto pointed out this week, it’s hard for bootcamps to sustain the growth trajectory VC’s expect. But there are other options available.


 

Educator considerations for ChatGPT — from platform.openai.com; with thanks to Anna Mills for this resource

Excerpt:

Streamlined and personalized teaching
Some examples of how we’ve seen educators exploring how to teach and learn with tools like ChatGPT:

  • Drafting and brainstorming for lesson plans and other activities
  • Help with design of quiz questions or other exercises
  • Experimenting with custom tutoring tools
  • Customizing materials for different preferences (simplifying language, adjusting to different reading levels, creating tailored activities for different interests)
  • Providing grammatical or structural feedback on portions of writing
  • Use in upskilling activities in areas like writing and coding (debugging code, revising writing, asking for explanations)
  • Critique AI generated text

While several of the above draw on ChatGPT’s potential to be explored as a tool for personalization, there are risks associated with such personalization as well, including student privacy, biased treatment, and development of unhealthy habits. Before students use tools that offer these services without direct supervision, they and their educators should understand the limitations of the tools outlined below.

Also relevant/see:

Excerpt (emphasis DSC):
David Wiley wrote a thoughtful post on the ways in which AI and Large Language Models (LLMs) can “provide instructional designers with first drafts of some of the work they do.” He says “imagine you’re an instructional designer who’s been paired with a faculty member to create a course in microeconomics. These tools might help you quickly create first drafts of” learning outcomes, discussion prompts, rubrics, and formative assessment items.  The point is that LLMs can quickly generate rough drafts that are mostly accurate drafts, that humans can then “review, augment, and polish,” potentially shifting the work of instructional designers from authors to editors. The post is well worth your time.

The question that I’d like to spend some time thinking about is the following: What new knowledge, capacities, and skills do  instructional designers need in their role as editors and users of LLMs?

This resonated with me. Instructional Designer positions are starting to require AI and ML chops. I’m introducing my grad students to AI and ChatGPT this semester. I have an assignment based on it.

(This ain’t your father’s instructional design…)

Robert Gibson


 
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