Affordability and Microcredentials — from the-job.beehiiv.com by Paul Fain Cutting costs for short-term credentials with course sharing and, perhaps, federal money.
‘Bespoke, e-Commerce-Enabled Storefronts’
Demand for nondegree credentials has risen. But it can be expensive and tricky for colleges to create their own workforce-relevant courses and certifications. Homegrown microcredentials also may be more likely to fall flat with students and employers, particularly in competition with professional certificates from big brands like Salesforce or AWS.
Acadeum, an online course-sharing company, is betting that a networked marketplace will be a better option for its 460 college and university partners, which include a growing number of community colleges. Beginning last month, those colleges can tap into 380+ online certificates, certifications, and skills-training courses.
“Skills Marketplace lowers the barrier of entry for institutions to self-select only the certifications that align their program offerings to meet student and workforce demand,” says David Daniels, Acadeum’s president and CEO.
Using AI, the team was able to plow through 32.6 million possible battery materials in 80 hours, a task the team estimates would have taken them 20 years to do.
“The world is adapting to seismic shifts from generative AI,” says Luben Pampoulov, Partner at GSV Ventures. “AI co-pilots, AI tutors, AI content generators—AI is ubiquitous, and differentiation is increasingly critical. This is an impressive group of EdTech companies that are leveraging AI and driving positive outcomes for learners and society.”
Workforce Learning comprises 34% of the list, K-12 29%, Higher Education 24%, Adult Consumer Learning 10%, and Early Childhood 3%. Additionally, 21% of the companies stretch across two or more “Pre-K to Gray” categories. A broader move towards profitability is also evident: the collective gross and EBITDA margin score of the 2024 cohort increased 5% compared to 2023.
Selected from 2,000+ companies around the world based on revenue scale, revenue growth, user reach, geographic diversification, and margin profile, this impressive group is reaching an estimated 3 billion people and generating an estimated $23 billion in revenue.
While headlines trumpet the demise of the college degree, our joint report with Harvard Business School Project on Managing the Future of Work reveals a different reality. Many companies have announced dropping degree requirements, but sustained hiring changes remain elusive for most. This report identifies where the reality of Skills-Based Hiring is lagging well-meaning ambitions, and shows which companies are getting it right.
By 2027, businesses predict that almost half (44%) of workers’ core skills will be disrupted.
Technology is moving faster than companies can design and scale up their training programmes, found the World Economic Forum’s Future of Jobs Report.
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The Forum’s Global Risks Report 2024 found that “lack of economic opportunity” ranked as one of the top 10 biggest risks among risk experts over the next two years.
5. Skills will become even more important With 23% of jobs expected to change in the next five years, according to the Future of Jobs Report, millions of people will need to move between declining and growing jobs.
As college costs soar and demand for skilled labor rises, programs that prepare students for well-paid work are gaining popularity. About 85 percent of high school graduates in 2019 had taken at least one course in career and technical education, or CTE. In 2018, Congress increased annual funding for CTE, which now exceeds $1.4 billion. And in 2022, 36 states enacted policies promoting career training for high schoolers, college students, and adults, according to Advance CTE, a professional organization for state CTE leaders.
Yet many states struggle to answer a basic question: Is career education working?
OpenAI on Thursday announced its first partnership with a higher education institution.
Starting in February, Arizona State University will have full access to ChatGPT Enterprise and plans to use it for coursework, tutoring, research and more.
The partnership has been in the works for at least six months.
ASU plans to build a personalized AI tutor for students, allow students to create AI avatars for study help and broaden the university’s prompt engineering course.
The collaboration between ASU and OpenAI brings the advanced capabilities of ChatGPT Enterprise into higher education, setting a new precedent for how universities enhance learning, creativity and student outcomes.
“ASU recognizes that augmented and artificial intelligence systems are here to stay, and we are optimistic about their ability to become incredible tools that help students to learn, learn more quickly and understand subjects more thoroughly,” ASU President Michael M. Crow said. “Our collaboration with OpenAI reflects our philosophy and our commitment to participating directly to the responsible evolution of AI learning technologies.”
AI <> Academia — from drphilippahardman.substack.com by Dr. Philippa Hardman What might emerge from ASU’s pioneering partnership with OpenAI?
Phil’s Wish List #2: Smart Curriculum Development ChatGPT assists in creating and updating course curricula, based on both student data and emerging domain and pedagogical research on the topic.
Output: using AI it will be possible to review course content and make data-informed automate recommendations based on latest pedagogical and domain-specific research
Potential Impact: increased dynamism and relevance in course content and reduced administrative lift for academics.
Unlike traditional leadership, adaptable leadership is not bound by rigid rules and protocols. Instead, it thrives on flexibility. Adaptable leaders are willing to experiment, make course corrections, and pivot when necessary. Adaptable leadership is about flexibility, resilience and a willingness to embrace change. It embodies several key principles that redefine the role of leaders in organizations:
Embracing uncertainty
Adaptable leaders understand that uncertainty is the new norm. They do not shy away from ambiguity but instead, see it as an opportunity for growth and innovation. They encourage a culture of experimentation and learning from failure.
Empowering teams
Instead of dictating every move, adaptable leaders empower their teams to take ownership of their work. They foster an environment of trust and collaboration, enabling individuals to contribute their unique perspectives and skills.
Continuous learning
Adaptable leaders are lifelong learners. They are constantly seeking new knowledge, stay informed about industry trends and encourage their teams to do the same. They understand that knowledge is a dynamic asset that must be constantly updated.
Major AI in Education Related Developments this week — from stefanbauschard.substack.com by Stefan Bauschard ASU integrates with ChatGPT, K-12 AI integrations, Agents & the Rabbit, Uruguay, Meta and AGI, Rethinking curriculum
“The greatest risk is leaving school curriculum unchanged when the entire world is changing.” Hadi Partovi, founder Code.org, Angel investor in Facebook, DropBox, AirBnb, Uber
Tutorbots in college. On a more limited scale, Georgia State University, Morgan State University, and the University of Central Florida are piloting a project using chatbots to support students in foundational math and English courses.
Pioneering AI-Driven Instructional Design in Small College Settings — from campustechnology.com by Gopu Kiron For institutions that lack the budget or staff expertise to utilize instructional design principles in online course development, generative AI may offer a way forward.
Unfortunately, smaller colleges — arguably the institutions whose students are likely to benefit the most from ID enhancements — frequently find themselves excluded from authentically engaging in the ID arena due to tight budgets, limited faculty online course design expertise, and the lack of ID-specific staff roles. Despite this, recent developments in generative AI may offer these institutions a low-cost, tactical avenue to compete with more established players.
There’s a new AI from Google DeepMind called AlphaGeometry that totally nails solving super hard geometry problems. We’re talking problems so tough only math geniuses who compete in the International Mathematical Olympiad can figure them out.
Thriving in an age of continuous reinvention — from pwc.com As existential threats converge, many companies are taking steps to reinvent themselves. Is it enough? And what will it take to succeed? .
One-third of K-12 teachers say they have used artificial intelligence-driven tools in their classroom, according to an EdWeek Research Center survey of educators conducted between Nov. 30 and Dec. 6, 2023.
Of those who said they’ve used AI tools, 21 percent said they’ve used them a little, 10 percent said they’ve used them some, and 2 percent said they’ve used them a lot, according to the survey, which included 498 teachers.
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Here’s how and why some educators say they’ve been using AI tools in the classroom:
Path 1 — We keep telling the teachers AI cannot do their jobs because it can’t do everything humans can do, and we keep telling kids that learning with AI is cheating and that they will amount to nothing if they use AIs to help do their work. This path is a path toward the irrelevance of educational institutions. AIs can and will be able to do most of what we do. AIs may not be able to do everything as well as us, but at least a lot of the things we do, they will be able to do better.
Path 2 — We help students and teachers understand the world that is emerging around them. Level with them. Explain that the future ofevery single job is uncertain.Explain that in past technological revolutions that occurred over a much longer period of time than this, many people lost their jobs. Explain that society is about to be substantially disrupted, probably in greater ways than it ever has been before, and certainly faster than ever before. Inform them that every “future of employment” report identifies soft/ durable skills and AI technology skills as the known job skills of the future. Let them know that the future economic value of all knowledge work is uncertain.
From DSC: Though this next item is not about AI in our learning ecosystems, it caught my eye because having educators use their networks to help sponsor their students seems like a great way to help marginalized students get employed and ahead.
Ana Homayoun, an early career development expert and author of Erasing the Finish Line: The New Blueprint for Success Beyond Grades and College Admission, said that educators can support students from marginalized identities by proactively providing resources and support. “Our role as sponsors is really important,” said Homayoun. “That’s a term that I use to describe this idea of creating opportunities for economic growth.” She added that sponsorship includes identifying students that might be facing barriers and leveraging one’s network to give them a leg up.
How Workers Rise— from the-job.beehiiv.com by Paul Fain A look forward at skills-based hiring and AI’s impacts on education and work.
Impacts of AI: Fuller is optimistic about companies making serious progress on skills-based hiring over the next five to 10 years. AI will help drive that transformation, he says, by creating the data to better understand the skills associated with jobs.
The technology will allow for a more accurate matching of skills and experiences, says Fuller, and for companies to “not rely on proxies like degrees or grade point averages or even the proxy of what someone currently makes or how fast they’ve gotten promoted on their résumé.”
Change is coming soon, Fuller predicts, particularly as AI’s impacts accelerate. And the disruption will affect wealthier Americans who’ve been spared during previous shifts in the labor market.
The Kicker: “When people in bedroom suburbs are losing their six-figure jobs, that changes politics,” Fuller says. “That changes the way people are viewing things like equity and where that leads. It’s certainly going to put a lot of pressure on the way the system has worked.”
1. Your own AI-powered coaching Learners can go into LinkedIn Learning and ask a question or explain a challenge they are currently facing at work (we’re focusing on areas within Leadership and Management to start). AI-powered coaching will pull from the collective knowledge of our expansive LinkedIn Learning library and, instantaneously, offer advice, examples, or feedback that is personalized to the learner’s skills, job, and career goals.
What makes us so excited about this launch is we can now take everything we as LinkedIn know about people’s careers and how they navigate them and help accelerate them with AI.
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3. Learn exactly what you need to know for your next job
When looking for a new job, it’s often the time we think about refreshing our LinkedIn profiles. It’s also a time we can refresh our skills. And with skill sets for jobs having changed by 25% since 2015 – with the number expected to increase by 65% by 2030– keeping our skills a step ahead is one of the most important things we can do to stand out.
There are a couple of ways we’re making it easier to learn exactly what you need to know for your next job:
When you set a job alert, in addition to being notified about open jobs, we’ll recommend learning courses and Professional Certificate offerings to help you build the skills needed for that role.
When you view a job, we recommend specific courses to help you build the required skills. If you have LinkedIn Learning access through your company or as part of a Premium subscription, you can follow the skills for the job, that way we can let you know when we launch new courses for those skills and recommend you content on LinkedIn that better aligns to your career goals.
2024 Edtech Predictions from Edtech Insiders — from edtechinsiders.substack.com by Alex Sarlin, Ben Kornell, and Sarah Morin Omni-modal AI, edtech funding prospects, higher ed wake up calls, focus on career training, and more!
Alex: I talked to the 360 Learning folks at one point and they had this really interesting epiphany, which is basically that it’s been almost impossible for every individual company in the past to create a hierarchy of skills and a hierarchy of positions and actually organize what it looks like for people to move around and upskill within the company and get to new paths.
Until now. AI actually can do this very well. It can take not only job description data, but it can take actual performance data. It can actually look at what people do on a daily basis and back fit that to training, create automatic training based on it.
From DSC: I appreciated how they addressed K-12, higher ed, and the workforce all in one posting. Nice work. We don’t need siloes. We need more overall design thinking re: our learning ecosystems — as well as more collaborations. We need more on-ramps and pathways in a person’s learning/career journey.
Throughout 2023, AI and the future of work have frequently been on the metaphorical – and often literal – front page around the world. There have been many excellent articles about the ways in which work may change as LLMs are increasingly integrated into our lives. As such, in this year’s report we focus specifically on areas that we think deserve additional attention or where there is research that has been done at Microsoft that offers a unique perspective. This is a report that should be read as a complement to the existing literature, rather than as a synthesis of all of it.
This is a rare time, one in which research will play a particularly important role in defining what the future of work looks like. At this special moment, scientists can’t just be passive observers of what is happening. Rather, we have the responsibility to shape work for the better. We hope this report can help our colleagues around world make progress towards this goal. .
Excerpt:
Analyzing and integrating may become more important skills than searching and creating With content being generated by AI, knowledge work may shift towards more analysis and critical integration
Information search as well as content production (manually typing, writing code, designing images) is greatly enhanced by AI, so general information work may shift to integrating and critically analyzing retrieved information
Writing with AI is shown to increase the amount of text produced as well as to increase writing efficiency (Biermann et al. 2022, Lee et al 2022)
With more generated text available, the skills of research, conceptualization, planning, prompting and editing may take on more importance as LLMs do the first round of production (e.g., Mollick 2023).
Skills not directly to content production, such as leading, dealing with critical social situations, navigating interpersonal trust issues, and demonstrating emotional intelligence, may all be more valued in the workplace (LinkedIn 2023)
The program is designed to strengthen the collaboration between private industry and higher education institutions—and evolve the higher education technology market. The new program will do so by taking the following actions:
Giving higher education professionals better access to corporate thought leaders who can help create change at their institutions
Educating corporate partners on the nuances of higher education and the major challenges it faces so that they can help provide meaningful solutions
Giving the EDUCAUSE staff and leadership better access to corporate change-makers in order to advocate for change on behalf of our institutional community
Providing the institutional community with higher-quality content and services from companies that are deeply invested in the success of higher education
Providing the corporate community with custom-built packages that allow more meaningful connections with the institutional community—not only at our in-person events but also through online opportunities year-round
By building better bridges between our corporate and institutional communities, we can help accelerate our shared mission of furthering the promise of higher education.
Intermediaries do the heavy lifting for the employers.
Bottom line: As I discussed with Michael later in the show, we already have the varied system that Leonhardt imagines—it’s just that it’s often by chaos and neglect. Just like we didn’t say to 8th graders a century ago, “go find your own high school,” we need to design a post-high school system with clear and well-designed pathways that include:
Apprenticeships outside of the building trades so students can learn a variety of jobs by doing the job.
Short-term certificates that lead to jobs without necessarily having the college degree immediately, but having the option to return for a college degree later on.
Transfer pathways where credits earned in high school really count in college and the move from two-year college to any four-year institution is seamless.
