Preparing Students for the AI-Enhanced Workforce — from insidehighered.com by Ray Schroeder
Our graduating and certificate-completing students need documented generative AI skills, and they need them now.

The common adage repeated again and again is that AI will not take your job; a person with AI skills will replace you. The learners we are teaching this fall who will be entering, re-entering or seeking advancement in the workforce at the end of the year or in the spring must become demonstrably skilled in using generative AI. The vast majority of white-collar jobs will demand the efficiencies and flexibilities defined by generative AI now and in the future. As higher education institutions, we will be called upon to document and validate generative AI skills.


AI image generators: 10 tools, 10 classroom uses — from ditchthattextbook.com by Matt Miller

AI image generators: 10 tools, 10 classroom uses


A Majority of New Teachers Aren’t Prepared to Teach With Technology. What’s the Fix? — from edweek.org by Alyson Klein

Think all incoming teachers have a natural facility with technology just because most are digital natives? Think again.

Teacher preparation programs have a long way to go in preparing prospective educators to teach with technology, according to a report released September 12 by the International Society for Technology in Education, a nonprofit.

In fact, more than half of incoming teachers—56 percent—lack confidence in using learning technology prior to entering the classroom, according to survey data included with the report.


5 Actual Use Cases of AI in Education: Newsletter #68 — from transcend.substack.com by Alberto Arenaza
What areas has AI truly impacted educators, learners & workers?

  1. AI Copilot for educators, managers and leaders
  2. Flipped Classrooms Chatbots
  3. AI to assess complex answers
  4. AI as a language learning tool
  5. AI to brainstorm ideas

AI-Powered Higher Ed — from drphilippahardman.substack.com by  Dr. Philippa Hardman
What a House of Commons round table discussion tells us about how AI will impact the purpose of higher education

In this week’s blog post I’ll summarise the discussion and share what we agreed would be the most likely new model of assessment in HE in the post-AI world.

But this in turn raises a bigger question: why do people go to university, and what is the role of higher education in the twenty first century? Is it to create the workforce of the future? Or an institution for developing deep and original domain expertise? Can and should it be both?


How To Develop Computational Thinkers — from iste.org by Jorge Valenzuela

In my previous position with Richmond Public Schools, we chose to dive in with computational thinking, programming and coding, in that order. I recommend building computational thinking (CT) competency first by helping students recognize and apply the four elements of CT to familiar problems/situations. Computational thinking should come first because it’s the highest order of problem-solving, is a cross-curricular skill and is understandable to both machines and humans. Here are the four components of CT and how to help students understand them.

 

Google’s AI-powered note-taking app is the messy beginning of something great — from theverge.com by David Pierce; via AI Insider
NotebookLM is a neat research tool with some big ideas. It’s still rough and new, but it feels like Google is onto something.

Excerpts (emphasis DSC):

What if you could have a conversation with your notes? That question has consumed a corner of the internet recently, as companies like Dropbox, Box, Notion, and others have built generative AI tools that let you interact with and create new things from the data you already have in their systems.

Google’s version of this is called NotebookLM. It’s an AI-powered research tool that is meant to help you organize and interact with your own notes. 

Right now, it’s really just a prototype, but a small team inside the company has been trying to figure out what an AI notebook might look like.

 

Will one of our future learning ecosystems look like a Discord server type of service? [Christian]

 

Every State Now Lets Schools Measure Students’ Success Based on Mastery, Not Seat Time — from edweek.org by Libby Stanford; via EdTech Thoughts

Excerpt:

With the pilot project, Wyoming has become the final state to allow competency-based learning in some form, marking a historic point in a growing, albeit slow, movement in favor of a model that emphasizes students’ achievement rather than the set 13-year academic schedule. That movement—long championed by many high-profile education leaders—has seen a handful of states embrace competency-based education faster than others and uneven progress within those states.

In Wyoming, it’s part of a three-pronged effort to move the state toward what State Superintendent of Public Instruction Megan Degenfelder calls “student-centered learning,” which is heavier on personalized and project-based learning that emphasize the development of problem-solving skills and letting students test-drive different career pathways.

 

OPINION: Post pandemic, it’s time for a bold overhaul of U.S. public education, starting now — from hechingerreport.org by William Hite and Kirsten Baesler
Personalized learning can restore public faith and meet the diverse needs of our nation’s students

Excerpt:

Across all socioeconomic and racial groups, Americans want an education system that goes beyond college preparation and delivers practical skills for every learner, based on their own needs, goals and vision for the future.

We believe that this can be achieved by making the future of learning more personalized, focused on the needs of individual learners, with success measured by progress and proficiency instead of point-in-time test scores.

Change is hard, but we expect our students to take risks and fail every day. We should ask no less of ourselves.

 

Verified Skills — from the-job.beehiiv.com by Paul Fain
Hunting for a common thread amid the hype around skills.

Excerpt:

The glitzy ASU+GSV gathering this week was titled “Brave New World.” But Tim Knowles wanted to talk about 1906.

That was when the organization Knowles leads, the Carnegie Foundation for the Advancement of Teaching, created the credit-hour standard. The time has arrived, argue Knowles and Amit Sevak, CEO of ETS, to move away from the Carnegie Unit and toward a new currency of education based on meaningful skills and accomplishments, demonstrated through assessment.

Our old way of training Americans for ‘good jobs’ is past its sell-by date — from workshift.opencampusmedia.org by JB Holston
We’re at a pivot point in education and workforce development. Employers in the U.S. and its allies have an opportunity to accelerate their economies by collaborating to scale new pathways to prosperity. They need to seize that opportunity, writes JB Holston, former CEO of the Greater Washington Partnership.

The country is at a pivot point. COVID’s acceleration of remote work and training; an increased dedication to inclusion, equity, and diversity since the murder of George Floyd; the inexorable pace of technological change; and America’s new, well-funded industrial policy have created an opportunity for the most significant re-set in the relationship between employers and our education systems in the last 150 years.

The old path to family-supporting career positions—which depended on large employers recruiting graduates from a small universe of ranked colleges whose education stopped with that degree—is past its sell-by date.

AI in Hiring and Evaluating Workers: What Americans Think — from pewresearch.org by Lee Rainie, Monica Anderson, Colleen McClain, Emily A. Vogels, and Risa Gelles-Watnick
62% believe artificial intelligence will have a major impact on jobholders overall in the next 20 years, but far fewer think it will greatly affect them personally. People are generally wary and uncertain of AI being used in hiring and assessing workers

Excerpt:

A new Pew Research Center survey finds crosscurrents in the public’s opinions as they look at the possible uses of AI in workplaces. Americans are wary and sometimes worried. For instance, they oppose AI use in making final hiring decisions by a 71%-7% margin, and a majority also opposes AI analysis being used in making firing decisions. Pluralities oppose AI use in reviewing job applications and in determining whether a worker should be promoted. Beyond that, majorities do not support the idea of AI systems being used to track workers’ movements while they are at work or keeping track of when office workers are at their desks.

 

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.
 

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.

 

Unbundled: Designing Personalized Pathways for Every Learner — from gettingsmart.com by Nate McClennen “with contributions from the Getting Smart team and numerous friends and partners in the field”

Excerpts:

In this publication, we articulate the critical steps needed to unbundle the learning ecosystem, build core competencies, design learning experiences, curate new opportunities, and rebundle these experiences into coherent pathways.
.

Building the Unbundled Ecosystem

Vision

Every learner deserves an unlimited number of unbundled opportunities to explore, engage, and define experiences that advance their progress along a co-designed educational pathway. Each pathway provides equitable and personalized access to stacked learning experiences leading to post-secondary credentials and secure family-sustaining employment. Throughout the journey, supportive coaches focus on helping learners build skills to navigate with agency. In parallel, learners develop foundational skills (literacy, math), technical skills, and durable skills and connect these to challenging co-designed experiences. The breadth and depth of experiences increase over time, and, in partnership, learners and coaches map progress towards reaching community-defined goals. This vision is only enabled by an unbundled learning ecosystem.

Recommendations

Solutions already exist in the ecosystem and need to be combined and scaled. Funding models (like My Tech High), badging/credentialing at the competency level (like VLACS), coaching models (like Big Thought), and open ecosystems (like NH Learn Everywhere) provide an excellent foundation. Thus, building unbundled systems has already begun but needs systemic changes to become widely available and accepted.

      1. Build a robust competency-based system.
      2. Create a two-way marketplace for unbundled learning.
      3. Implement policy to support credit for out-of-system experiences.
      4. Invest in technology infrastructure for Learning and Employment Records.
      5. Design interoperable badging systems that connect to credentials.
 

Some example components of a learning ecosystem [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.

 

 

The future of learning: Preparing your L&D organization for the new landscape of work — from chieflearningofficer.com by Vikas Joshi

Excerpt:

Two major shifts characterize today’s work: The skills economy and the hybrid work approach. Alone, they are both powerful. But together, they are completely disrupting work and learning in significant ways.

It’s an exciting time for learning and development organizations. They are stepping up to meet the changing learning needs of employees and businesses. This article outlines the new landscape of work, lists its implications for learning leaders and providers, describes solution frameworks and makes the case for preparing your L&D organization for the future of learning with digital technology.

If the challenges my client L&D organizations describe are any indication, there is a distinct pattern of struggle to keep up with the growing demands from businesses and employees. The challenges occupy a wide spectrum — rapidly shifting need patterns, content obsolescence, remote solitary learners, content overload and the lack of certainty of effective outcomes — and despite the large and ever-growing libraries of learning content, robust video-conferencing technologies and learning management systems. So, where is the problem?

The first drastic change: The skills economy is here. As technology races ahead, skill gaps have appeared, widened and morphed. There was a time when L&D organizations could get by without using technology. Not anymore. New skills are needed across all kinds of work.

 

From DSC:
Below are some reflections based on an article entitled, Understanding learning transfer through Archwell Academies. It’s from chieflearningofficer.com and was written by Erin Donovan and Keith Keating.

Excerpt:

To capitalize on learning transfer and extend learning beyond traditional training periods, practitioners have established capability academies. According to Josh Bersin, capability academies are the evolution of traditional training and self-directed learning. Bersin posited:

Capability academies are business-driven, collaborative learning environments that facilitate learning retention. . . . Going beyond rote lessons, capability academies help companies prepare for transformation by helping employees develop complex skills and providing guidance on how to apply them in the context of the business.

The core concept of capability academies rests on the importance of collaboration between the trainers and the business. The intention is to provide learners with practice of conceptual understanding and comparative scenarios in the context and environment where they will ultimately apply their skills. Capability academies focus on providing training distinctly aligning with learners’ job responsibilities.

From DSC:
First of all, I have a lot of respect for the people that this article mentions, such as Josh Bersin and Will Thalheimer. So this article caught me eye.

It seems to me that the corporate world is asking for institutions of traditional higher education to deliver such “capability academies.” But that makes me wonder, could this even be done? Surely there aren’t enough resources to develop/deliver/maintain so many environments and contexts, right? It took Archwell, a global mortgage services outsourcing provider, an entire year to systematically design and develop such customized capability academies — just for their clients’ businesses. 

The article goes on:

The core concept of capability academies rests on the importance of collaboration between the trainers and the business. The intention is to provide learners with practice of conceptual understanding and comparative scenarios in the context and environment where they will ultimately apply their skills. Capability academies focus on providing training distinctly aligning with learners’ job responsibilities.

Context. Skills. Acquiring knowledge. Being able to apply that knowledge in a particular environment. Wow…that’s a lot to ask institutions of traditional higher education to deliver. And given the current setup, it’s simply not going to happen. Faculty members’ plates are already jammed-packed. They don’t have time to go out and collaborate with each business in their area (even with more sabbaticals…I don’t see it happening).

I’m sure many at community colleges could chime in here and would likely say that that’s exactly what they are doing. But I highly doubt that they are constantly delivering this type of customized offering for all of the businesses in each major city in their area.

I can hear those in corporate training programs saying that that’s what they are doing for their own business. But they don’t provide it for other businesses in their area.

So, what would it take for higher education to develop/offer such “capability academies?” Is it even possible?

We continue to struggle to design the ultimate learning ecosystem(s) — one(s) whereby we can provide personalized learning experiences for each person and business. We need to continue to practice design thinking here, as we seek to provide valuable, relevant/up-to-date, and cradle-to-grave learning experiences.

The problem is, the pace of change has changed. Institutions of traditional higher education can’t keep up. And frankly, neither can most businesses out there.

I keep wondering if a next-generation learning platform — backed up by AI but delivered with human expertise — will play a role in the future. The platform would offer products and services from teams of individuals — and/or from communities of practices — who can provide customized, up-to-date training materials and the learning transfers that this article discusses.

But such a platform would have to offer socially-based learning experiences and opportunities for accountability. Specific learning goals and learning cohorts help keep one on track and moving forward.

 

Aurora Institute: Federal Policy Priorities and Recommendations 2022 — from aurora-institute.org

Introduction:

It is critically important for our country to reimagine education and focus on investing in our future, not our past. The current K-12 education system has not produced equitable outcomes for all students. We must change policies and invest in innovation to transform our education systems. Student-centered policies are needed for true systems change and innovations for equity. We must challenge frames and investments that perpetuate tinkering with the existing system, rather than reimagining it. The time is ripe to redesign education to align with future needs and purposes to achieve human flourishing.

To ensure all learners are prepared for life’s uncertainties, as well as a more knowledge-driven workforce and economy, we must restructure the education system to universally recognize anytime, anywhere learning. Many states and districts have taken steps to move in new and improved directions, but more work must be done to meet students where they are and accelerate them to successful futures and prosperity. We must question the fundamental purposes of our education system, align our goals to that purpose, and expand learning to anytime and anyplace, with greater opportunities for next generation learning.

Aurora Institute’s latest Federal Policy Priorities represent an equity-oriented and future-focused set of recommendations designed to ensure that the nation’s education system moves from its current state to a system capable of preparing all learners with the knowledge and skills necessary to achieve lifelong success.

 


From DSC:
I post this because I like the design thinking exhibited herein. I love the idea of greater collaboration between K-12, higher education, vocational training, and the workforce/workplace. We should consider eliminating — or at least building much better bridges between the — existing silos. These silos seem to be easier to put up than they are to take down.


 

 

A Turning Point for Prison Education — from chronicle.com by Taylor Swaak
With reinstatement of Pell Grants imminent, the programs weigh technology’s long-term role.

Excerpts:

Incarcerated people who participate in postsecondary-education programs are 48 percent less likely to return to prison, according to a 2018 study from the RAND Corporation.

Three colleges that The Chronicle spoke with are in varying stages of adding technology to their prison-ed programs.

Addendum on 5/11/22:

It was a proud, and somewhat routine commencement ceremony for Calvin University on Monday, May 9, though held in the confines of a state prison.

Calvin University and Calvin Theological Seminary joined the Michigan Department of Corrections Monday to host the graduation ceremony for Calvin Prison Initiative (CPI) students at the state’s Richard A. Handlon Correctional Facility in Ionia.

Addendums on 5/16/22:

 

Coursera launches skills training academy for colleges and companies — from highereddive.com by Natalie Schwartz
Experts say the move could help the company strengthen its focus on selling courses to colleges rather than consumers.

Excerpts:

Coursera, like other popular MOOC platforms, has made its name by bringing online classes to the masses. But lately, the company has been expanding efforts to provide these offerings to colleges and employers rather than solely to consumers.

The company doubled down on that strategy Wednesday, when it announced the launch of a career training academy that enables users to earn entry-level certificates from companies like Meta and IBM in fields such as data analytics, social media marketing and user experience design. Institutions — including colleges, businesses and government organizations — can sign up to make the platform available to their students or employees.

The move signals a shift in strategy for the company. While Coursera is still focused on delivering courses directly to consumers, it’s also been building out its offerings to colleges and employers. This business segment includes Coursera for Campus, which allows colleges to use the platform’s content in their classes. 


From DSC:
For those who think MOOCs have come and gone:

Coursera has been using academic content created by universities for years to build its audience, amassing some 97 million users by the end of last year, according to its latest earnings report. 


Addendum on 5/11/22:

 
© 2022 | Daniel Christian