As Americans live and work longer, many now find themselves needing to change jobs and careers several times within their lifetimes.
Now, Georgia Institute of Technology has created a new college to serve just these learners. Georgia Tech last week launched its College of Lifetime Learning, which will combine degree programs with non-degree programs, and seeks to educate 114K students by 2030. That would enable the university to double the current number of degrees granted and nondegree students served.
“What we’re hearing is that with the advancing pace of digitization taking place, changing demographics, people working longer, for example, higher ed needs to do something in addition to what it already has been doing” says Nelson Baker, interim dean of the new college.
Now a quarter way through the 21st century, higher education is again in need of a reboot. Post Covid, colleges are closing one per week. More than 40M U.S. learners have started college but never finished. Nearly two-thirds of those learners would complete their degree but can’t afford to. Student debt now sits at almost $2T. Americans are losing faith in higher education.
Enter the apprenticeship degree, where students can earn a debt-free, four-year degree entirely embedded within a full-time, paid job. In the U.K., with government tax incentives, the apprenticeship-to-degree model has surged in eight years from zero to 50K new enrollments, making progress toward an expected 20% of postsecondary starts within the decade. As I have previously written, I believe the apprenticeship degree is just what American higher education needs to meet the moment.
This week, as I kick off the 20th cohort of my AI-Learning Design bootcamp, I decided to do some analysis of the work habits of the hundreds of amazing AI-embracing instructional designers who I’ve worked with over the last year or so.
My goal was to answer the question: which AI tools do we use most in the instructional design process, and how do we use them?
Here’s where we are in September, 2024:
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Developing Your Approach to Generative AI — from scholarlyteacher.com by Caitlin K. Kirby, Min Zhuang, Imari Cheyne Tetu, & Stephen Thomas (Michigan State University)
As generative AI becomes integrated into workplaces, scholarly work, and students’ workflows, we have the opportunity to take a broad view of the role of generative AI in higher education classrooms. Our guiding questions are meant to serve as a starting point to consider, from each educator’s initial reaction and preferences around generative AI, how their discipline, course design, and assessments may be impacted, and to have a broad view of the ethics of generative AI use.
AI technology tools hold remarkable promise for providing more accessible, equitable, and inclusive learning experiences for students with disabilities.
The Voice of the Online Learner report highlights the journey of online learners, and the vital role education plays in their personal and professional growth and development. This year’s report compiled responses from over 3,400 prospective, current, and recently graduated online learners.
Key findings from this year’s Voice of the Online Learner report include:
Decision Factors for Online Students: When evaluating online programs, the key decision for students is cost, with 86% saying it’s extremely or very important. After cost, 84% said accreditation is most important, 75% said program concentrations, followed by 68% of respondents who said it was the time it took to achieve a degree. 38% selected the lowest cost program they evaluated (up from 29% in 2023).
Perception of Online Programs: Students see online programs as equally valid or better at meeting their needs than on-campus degree programs. 83% of respondents prefer the flexibility of online programs over hybrid or on-campus options, while 90% feel online programs are comparable to or better than an on-campus degree. 83% (up from 71% last year) want no on campus requirement.
Degree ROI: 92% of students who graduated from online degree programs reported tangible benefits to their career, including 44% who received a salary increase.
Value of the Degree: Career outcomes continue to be very important for students pursuing their degree.86% felt their degrees were important in achieving their career goals, and 61% of online undergraduates are likely to enroll in additional online degree programs to stay competitive.
Importance of Local Programs: Attending a university or college in the state where the student lives and works is also an important decision factor, with 70% enrolled at a higher education institution in the state where they live and/or work. These students say that local proximity creates greater trust, and that they also want to ensure the programs meet local licensing or accreditation requirements, when relevant.
Demographics: The average age for online students enrolled in undergraduate programs is 36 years old, while the average age for students enrolled in graduate programs is 38 years old. Of the students enrolled in undergraduate programs, 40% are first-generation college students.
Upskilling is lifelong: 86% of graduated and currently enrolled students are likely to do another online program in the future to upskill.
Generative AI is a concern: Students want guidance on generative AI, but 75% reported they have received none. 40% of students think it will affect their career positively and 40% believe it will impact them negatively. Nearly half (48%) have used it to help them study.
Right now, high schoolers and college students around the country are experimenting with free smartphone apps that help complete their math homework using generative AI. One of the most popular options on campus right now is the Gauth app, with millions of downloads. It’s owned by ByteDance, which is also TikTok’s parent company.
The Gauth app first launched in 2019 with a primary focus on mathematics, but soon expanded to other subjects as well, like chemistry and physics. It’s grown in relevance, and neared the top of smartphone download lists earlier this year for the education category. Students seem to love it. With hundreds of thousands of primarily positive reviews, Gauth has a favorable 4.8 star rating in the Apple App Store and Google Play Store.
All students have to do after downloading the app is point their smartphone at a homework problem, printed or handwritten, and then make sure any relevant information is inside of the image crop. Then Gauth’s AI model generates a step-by-step guide, often with the correct answer.
From DSC: I do hesitate to post this though, as I’ve seen numerous posting re: the dubious quality of AI as it relates to giving correct answers to math-related problems – or whether using AI-based tools help or hurt the learning process. The situation seems to be getting better, but as I understand it, we still have some progress to make in this area of mathematics.
Educational leaders must reconsider the definition of creativity, taking into account how generative AI tools can be used to produce novel and impactful creative work, similar to how film editors compile various elements into a cohesive, creative whole.
Generative AI democratizes innovation by allowing all students to become creators, expanding access to creative processes that were previously limited and fostering a broader inclusion of diverse talents and ideas in education.
AI-Powered Instructional Design at ASU — from drphilippahardman.substack.com by Dr. Philippa Hardman How ASU’s Collaboration with OpenAI is Reshaping the Role of Instructional Designers
The developments and experiments at ASU provide a fascinating window into two things:
How the world is reimagining learning in the age of AI;
How the role of the instructional designer is changing in the age of AI.
In this week’s blog post, I’ll provide a summary of how faculty, staff and students at ASU are starting to reimagine education in the age of AI, and explore what this means for the instructions designers who work there.
India’s ed-tech unicorn PhysicsWallah is using OpenAI’s GPT-4o to make education accessible to millions of students in India. Recently, the company launched a suite of AI products to ensure that students in Tier 2 & 3 cities can access high-quality education without depending solely on their enrolled institutions, as 85% of their enrollment comes from these areas.
Last year, AIM broke the news of PhysicsWallah introducing ‘Alakh AI’, its suite of generative AI tools, which was eventually launched at the end of December 2023. It quickly gained traction, amassing over 1.5 million users within two months of its release.
Majors like hers are part of a broader wave of less conventional, avant-garde majors, in specialties such as artificial intelligence, that are taking root in American higher education, as colleges grapple with changes in the economy and a shrinking pool of students.
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The trend underscores the distinct ways schools are responding to growing concerns over which degrees provide the best return on investment. As college costs soared to new heights in recent years, saddling many students with crippling loan debt, that discourse has only become increasingly fraught, raising the stakes for schools to prove their degrees leave students better prepared and employable.
“I’m a big believer in the liberal arts, but universities don’t get to print money,” he said. “If enrollment interests are shifting, they have to be able to hire faculty to teach in those areas. Money has to come from someplace.”
From DSC: Years ago, I remember having lunch with one of the finalists for the President position of a local university. He withdrew himself from the search because the institution’s culture would be like oil and water with him at the helm. He was very innovative, and this organization was not. I remember him saying, “The marketplace will determine what that organization ultimately does.” In other words, he was saying that higher education was market-driven. I agreed with him then, and I still agree with that perspective now.
School is back in session, and so are AI art classes — from hyperallergic.com by Isa Farfan New university programs are incorporating generative tools into studio art courses while attempting to address the murky ethics of the technology.
There’s a new addition to the course catalog at Ringling College of Art and Design, a small private art school in southwest Florida: an Artificial Intelligence Undergraduate Certificate.
The college claimed its new program is the first-of-its-kind AI certificate at an undergraduate arts institution in a news release earlier this month. Other schools in the United States offer courses and certificates focused on the integration of artificial intelligence and creative work, and educators across the country have already brought the technology into the art studio. Critics, however, say pushing AI into arts education won’t level the playing field for professional artists competing against increasingly sophisticated generative tools.
From DSC: Though this next item is not necessarily related to AI, the following is still art and it’s very fun to watch!
86% of students globally are regularly using AI in their studies, with 54% of them using AI on a weekly basis, the recent Digital Education Council Global AI Student Survey found.
ChatGPT was found to be the most widely used AI tool, with 66% of students using it, and over 2 in 3 students reported using AI for information searching.
Despite their high rates of AI usage, 1 in 2 students do not feel AI ready. 58% reported that they do not feel that they had sufficient AI knowledge and skills, and 48% do not feel adequately prepared for an AI-enabled workplace.
The Post-AI Instructional Designer— from drphilippahardman.substack.com by Dr. Philippa Hardman How the ID role is changing, and what this means for your key skills, roles & responsibilities
Specifically, the study revealed that teachers who reported most productivity gains were those who used AI not just for creating outputs (like quizzes or worksheets) but also for seeking input on their ideas, decisions and strategies.
Those who engaged with AI as a thought partner throughout their workflow, using it to generate ideas, define problems, refine approaches, develop strategies and gain confidence in their decisions gained significantly more from their collaboration with AI than those who only delegated functional tasks to AI.
Leveraging Generative AI for Inclusive Excellence in Higher Education — from er.educause.edu by Lorna Gonzalez, Kristi O’Neil-Gonzalez, Megan Eberhardt-Alstot, Michael McGarry and Georgia Van Tyne Drawing from three lenses of inclusion, this article considers how to leverage generative AI as part of a constellation of mission-centered inclusive practices in higher education.
The hype and hesitation about generative artificial intelligence (AI) diffusion have led some colleges and universities to take a wait-and-see approach.Footnote1 However, AI integration does not need to be an either/or proposition where its use is either embraced or restricted or its adoption aimed at replacing or outright rejecting existing institutional functions and practices. Educators, educational leaders, and others considering academic applications for emerging technologies should consider ways in which generative AI can complement or augment mission-focused practices, such as those aimed at accessibility, diversity, equity, and inclusion. Drawing from three lenses of inclusion—accessibility, identity, and epistemology—this article offers practical suggestions and considerations that educators can deploy now. It also presents an imperative for higher education leaders to partner toward an infrastructure that enables inclusive practices in light of AI diffusion.
An example way to leverage AI:
How to Leverage AI for Identity Inclusion Educators can use the following strategies to intentionally design instructional content with identity inclusion in mind.
Provide a GPT or AI assistant with upcoming lesson content (e.g., lecture materials or assignment instructions) and ask it to provide feedback (e.g., troublesome vocabulary, difficult concepts, or complementary activities) from certain perspectives. Begin with a single perspective (e.g., first-time, first-year student), but layer in more to build complexity as you interact with the GPT output.
Gen AI’s next inflection point: From employee experimentation to organizational transformation — from mckinsey.com by Charlotte Relyea, Dana Maor, and Sandra Durth with Jan Bouly As many employees adopt generative AI at work, companies struggle to follow suit. To capture value from current momentum, businesses must transform their processes, structures, and approach to talent.
To harness employees’ enthusiasm and stay ahead, companies need a holistic approach to transforming how the whole organization works with gen AI; the technology alone won’t create value.
Our research shows that early adopters prioritize talent and the human side of gen AI more than other companies (Exhibit 3). Our survey shows that nearly two-thirds of them have a clear view of their talent gaps and a strategy to close them, compared with just 25 percent of the experimenters. Early adopters focus heavily on upskilling and reskilling as a critical part of their talent strategies, as hiring alone isn’t enough to close gaps and outsourcing can hinder strategic-skills development.Finally, 40 percent of early-adopter respondents say their organizations provide extensive support to encourage employee adoption, versus 9 percent of experimenter respondents.
Change blindness — from oneusefulthing.org by Ethan Mollick 21 months later
I don’t think anyone is completely certain about where AI is going, but we do know that things have changed very quickly, as the examples in this post have hopefully demonstrated. If this rate of change continues, the world will look very different in another 21 months. The only way to know is to live through it.
Over the subsequent weeks, I’ve made other adjustments, but that first one was the one I asked myself:
What are you doing?
Why are you doing it that way?
How could you change that workflow with AI?
Applying the AI to the workflow, then asking, “Is this what I was aiming for? How can I improve the prompt to get closer?”
Documenting what worked (or didn’t). Re-doing the work with AI to see what happened, and asking again, “Did this work?”
So, something that took me WEEKS of hard work, and in some cases I found impossible, was made easy. Like, instead of weeks, it takes 10 minutes. The hard part? Building the prompt to do what I want, fine-tuning it to get the result. But that doesn’t take as long now.
Lou Gerstner, writing about his legendary turnaround at IBM, said, “Culture isn’t just one aspect of the game, it is the game. In the end, an organization is nothing more than the collective capacity of its people to create value… What does the culture reward and punish – individual achievement or team play, risk taking or consensus building?”
Most business gurus would readily agree with that, but if you’d ask them what culture actually is they would be hard pressed to give a coherent answer. Anthropologists, on the other hand, are much more rigorous in their approach and most would agree that three essential elements of a culture are norms, rituals and behaviors.
In a positive organizational culture, norms and rituals support behaviors that honor the mission of the enterprise. Negative cultures undermine that mission. A common problem with many transformation initiatives is that they focus on designing incentives to alter behaviors. Unfortunately, unless you can shift norms and rituals, nothing is likely to change.
Over 500 private, nonprofit four-year institutions have closed in the last 10 years, according to the State Higher Education Executive Officers Association. That is three times what it was in the decade prior. Rachel Burns, a senior policy analyst at SHEEO, estimates at least 1.25 million students were affected by these closures. (Many more for-profit institutions have closed in this period as well.)
Around two-thirds of incoming college seniors said college has significantly contributed to their ability to land a well–paying job, according to a new survey from job platform Handshake.
A slightly higher share, 72%, said higher education has appreciably improved their ability to secure a meaningful job. And 85% of surveyed seniors said college significantly helped them understand their own career goals.
College seniors also indicated that higher education has helped them beyond their career development. According to the survey, 88% said college significantly contributed to their personal growth.
We are excited to announce the publication of the 2024 US Instructor Survey. This survey, adapted from our longstanding US Faculty Survey, provides a detailed snapshot of over 5,200 faculty members from different disciplines, institution types, ages, and titles across the US at four-year institutions. This new report offers a comprehensive overview of how college instructors across the country are navigating and shaping the current educational landscape.
Overall, we heard that instructors are increasingly adopting innovative, technology-driven teaching methods, while recognizing the critical role libraries play in supporting student success. The growing use of open educational resources (OERs) reflects a commitment to affordable education, though fewer instructors create their own. Additionally, strong institutional support remains essential for effective teaching, particularly IT and with pedagogical practices. Below we share several key findings:
But starting with the 2013-14 academic year, a whopping 726 degree-granting institutions closed through the 2022-23 school year, according to the National Center for Education Statistics. That means in just nine years, 15 percent of the-then 4,724 degree-granting colleges or universities closed. … Ultimately, after all, the prediction is a result of business model failure, in which rising expenses outpace revenue, as the students cease to enroll or have the capacity to pay enough.
But non-profit institutions are in their own world of hurt as well. According to Higher Ed Dive, 18 have announced their closure this year so far. But 141 closed between 2013-14 and 2022-23—or roughly 8.4 percent.
Survey: Over Half of Rising Seniors Feel Pessimistic About Starting Their Careers — from insidehighered.com by Ahsley Mowreader New data from Handshake finds 57 percent of the Class of 2025 have low expectations for their future after graduation, largely tied to a competitive job market, student loan debt and current political climate.
Entering senior year can be a stressful time for college students as they prepare for their next step after graduation. Inside Higher Ed’s 2024 Student Voice survey found 68 percent of fourth-year students (n=703) are at least somewhat stressed when they think about their life postgraduation, with 25 percent feeling “extremely stressed.”
This year’s graduating class is feeling less hopeful than their peers before them, with almost three in five students sharing that they feel pessimistic about their immediate future, according to new data from Handshake.
The results highlight a challenging job market for new graduates, the role of affordability in higher education and how institutions are supporting students as they launch into careers.
If you’re looking for apps and games that not only keep young kids occupied but also encourage them to explore, learn, and express themselves, we have some great suggestions.
The apps we cover in this guide are good learning apps not because they’re designed to make kids smarter, to drill facts, or to replace in-school learning, but because they each offer something fun, unique, and interesting for kids and adults.
As with our guides to STEM and learning toys, we didn’t test scores of apps to try to find the “best” ones. Rather, most of our favorite apps have been chosen by teachers for their students in classrooms, used by Wirecutter parents and their kids, or recommended by the experts and educators we spoke with.
SATs Have Never Been About Equity — from insidehighered.com by Pepper Stetler The history of the SAT raises questions about how we value and measure intelligence, Pepper Stetler writes.
Excerpts (emphasis DSC):
Even though the overwhelming majority (about 80 percent) of the country’s colleges and universities will remain test optional for the Class of 2029, our national conversation about the role of standardized admissions tests in higher education focuses almost exclusively on elite colleges, whose enrollments represent only 1 percent of students. Such a myopic perspective will do little to increase access to higher education. Real change would require us to reckon with the history of standardized tests and how they have persistently disadvantaged large numbers of students, particularly students of color and students with disabilities.
One hundred years later, academic success is defined as the capacity to do well on a standardized test. It does not just predict a person’s academic ability. It defines academic ability. And those who have the most time and resources to devote to the test are the ones who will succeed.
Trend #1: Schools Are Using Career Technical Education to Increase Student Engagement
Trend #2: Districts Are Looking to Scale Up Tutoring
Trend #3: Virtual Learning Solutions Can Help Address Teacher Shortages
Understood.com | Everyone deserves to be understood Understood is the leading nonprofit empowering the 70 million people with learning and thinking differences in the United States.
But as generative AI tools like ChatGPT sweep into mainstream business tools, promising to draft properly-formatted text from simple prompts and the click of a button, new questions are rising about what role writing centers should play — or whether they will be needed in the future.
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Writing centers need to find a balance between introducing AI into the writing process and keeping the human support that every writer needs, argues Anna Mills, an English instructor at the College of Marin.
AI can serve as a supplement to a human tutor, Mills says. She encourages her students to use MyEssayFeedback, an AI tool that critiques the organization of an essay, the quality of evidence a student has included to support their thesis or the tone of the writing. Such tools can also evaluate research questions or review a student’s writing based on the rubric for the assignment, she says.
The Burden of Misunderstanding — from onedtech.philhillaa.com by Phil Hill How ED’s outdated consumer-protection view of online education could lead to bureaucratic burden on every online course in US higher ed
Time to Comment There are plenty of other points to be made on this proposed rule:
the lack of evidence supporting the treatment of online ed differently than f2f or hybrid;
the redefinition of regular and substantive interaction;
the impact of this simplification rule actually complicating matters for compliance; and
the risk of auto-withdrawal for 14-day inactivity periods, etc.
For now, I wanted to be more precise on what I believe is a misunderstood compliance burden of ED’s proposed rule, and ED’s inability to listen to feedback from colleges and universities and associations representing them. And that while the details of this proposed rule might seem arcane, it will have a major impact across higher ed.
It is very important to note that we are in the middle of the public comment period for these proposed rules, and that ED should hear directly from colleges and universities about the impact of the proposed rules. You can comment here through next Friday (August 23rd).
From DSC: Phil brings up numerous excellent points in the above posting. If the Department of Education’s (ED’s) proposed rules on online attendance taking get finalized, the impacts could be huge — and negative/costly in several areas. Faculty members, directors and staff of teaching and learning centers, directors of online programs, provosts and other members of administrations, plus other relevant staff should comment– NOW — before the comment period ends next Friday (August 23rd).
Using generative artificial intelligence (GenAI) tools such as ChatGPT, Gemini, or CoPilot as intelligent assistants in instructional design can significantly enhance the scalability of course development. GenAI can significantly improve the efficiency with which institutions develop content that is closely aligned with the curriculum and course objectives. As a result, institutions can more effectively meet the rising demand for flexible and high-quality education, preparing a new generation of future professionals equipped with the knowledge and skills to excel in their chosen fields.1 In this article, we illustrate the uses of AI in instructional design in terms of content creation, media development, and faculty support. We also provide some suggestions on the effective and ethical uses of AI in course design and development. Our perspectives are rooted in medical education, but the principles can be applied to any learning context.
… Table 1 summarizes a few low-hanging fruits in AI usage in course development. .
Table 1. Types of Use of GenAI in Course Development
Practical Use of AI
Use Scenarios and Examples
Inspiration
Exploring ideas for instructional strategies
Exploring ideas for assessment
Course mapping
Lesson or unit content planning
Supplementation
Text to audio
Transcription for audio
Alt text auto-generation
Design optimization (e.g., using Microsoft PPT Design)
10 Ways Artificial Intelligence Is Transforming Instructional Design — from er.educause.edu by Rob Gibson Artificial intelligence (AI) is providing instructors and course designers with an incredible array of new tools and techniques to improve the course design and development process. However, the intersection of AI and content creation is not new.
I have been telling my graduate instructional design students that AI technology is not likely to replace them any time soon because learning and instruction are still highly personalized and humanistic experiences. However, as these students embark on their careers, they will need to understand how to appropriately identify, select, and utilize AI when developing course content. Examples abound of how instructional designers are experimenting with AI to generate and align student learning outcomes with highly individualized course activities and assessments. Instructional designers are also using AI technology to create and continuously adapt the custom code and power scripts embedded into the learning management system to execute specific learning activities.Footnote1 Other useful examples include scripting and editing videos and podcasts.
Here are a few interesting examples of how AI is shaping and influencing instructional design. Some of the tools and resources can be used to satisfy a variety of course design activities, while others are very specific.
The world of a medieval stone cutter and a modern instructional designer (ID) may seem separated by a great distance, but I wager any ID who upon hearing the story I just shared would experience an uneasy sense of déjà vu. Take away the outward details, and the ID would recognize many elements of the situation: the days spent in projects that fail to realize the full potential of their craft, the painful awareness that greater things can be built, but are unlikely to occur due to a poverty of imagination and lack of vision among those empowered to make decisions.
Finally, there is the issue of resources. No stone cutter could ever hope to undertake a large-scale enterprise without a multitude of skilled collaborators and abundant materials. Similarly, instructional designers are often departments of one, working in scarcity environments, with limited ability to acquire resources for ambitious projects and — just as importantly — lacking the authority or political capital needed to launch significant initiatives. For these reasons, instructional design has long been a profession caught in an uncomfortable stasis, unable to grow, evolve and achieve its full potential.
That is until generative AI appeared on the scene. While the discourse around AI in education has been almost entirely about its impact on teaching and assessment, there has been a dearth of critical analysis regarding AI’s potential for impacting instructional design.
We are at a critical juncture for AI-augmented learning. We can either stagnate, missing opportunities to support learners while educators continue to debate whether the use of generative AI tools is a good thing, or we can move forward, building a transformative model for learning akin to the industrial revolution’s impact.
Too many professional educators remain bound by traditional methods. The past two years suggest that leaders of this new learning paradigm will not emerge from conventional educational circles. This vacuum of leadership can be filled, in part, by instructional designers, who are prepared by training and experience to begin building in this new learning space.
The ninth installment of the Changing Landscape of Online Education (CHLOE) report, produced by Quality MattersTM , Eduventures® and Educause — offers an overview of the current state of online learning in higher education as well as insights into its future development. The report was compiled by surveying chief online officers (COLOs) — the professionals best situated to assess the current state of this ever-developing field — at U.S. two- and four-year colleges and universities.
The majority of survey participants report both learner demand for online learning surging and institutional strategic priorities shifting to meet this demand, as well as the adaptation to the new presence of AI tools in the academic environment. Notable findings from the 53-page report include:
Priorities for Online Learning: Institutions are increasingly prioritizing the development of online versions of both on-campus courses (69%) and on-campus degrees (65%) in order to meet demand. In terms of their topmost priority, 43% of COLOs chose online versions of on-campus degrees (the majority of public four-year institutions identified this as their top priority), with online versions of on-campus courses selected as the top priority by 39%. Tuition and Institutional Revenue: … AI in Higher Education: … Third-Party Servicers: … Regular and Substantive Interaction: …
Roughly two-thirds of colleges are making it a priority to create virtual versions of on-campus classes and programs, according to an annual survey of chief online learning officers.
College officials likely see creating online versions of existing programs as easier than launching entirely new academic programs, according to the report.
However, 48% of chief online learning officers still said their priorities included launching new online programs with no campus equivalent.
BOSTON, Aug. 13, 2024 /PRNewswire-PRWeb/ — Quality Matters, EDUCAUSE, and Eduventures Research have released the ninth edition of the Changing Landscape of Online Education (CHLOE) report, compiling the perspectives of chief online learning officers (COLOs) around the United States. CHLOE 9: Strategy Shift: Institutions Respond to Sustained Online Demand reveals a continued increase in student preference for online learning and the strategies institutions are employing to address this demand.
The report also outlines institutional perspectives on a host of other factors contributing to the state of online education, including artificial intelligence, third-party servicers, OPMs and regular and substantive interaction.
For the uninitiated, since 2017 the CHLOE report has surveyed Chief Online Learning Officers (COLOs) at higher education institutions in the US to map the changing landscape of online education. It has become an invaluable resource in understanding the topography of online learning in the US as well as how it is changing as more institutions move online and that environment becomes more regulated and more competitive.
I found this year’s survey much more engaging than in recent years. Many of the questions asked and the way they were framed address the issues of concern to people managing online learning. There is a lot in the survey, and I am going to break my coverage into two parts. In this first post, I want to cover the more general findings of the survey as well as some of my concerns with it. In my next post, I want to do a deeper dive into what the CHLOE survey reports about outsourcing and OPMs, a topic that we have covered extensively in this newsletter.
New College Consensus poll shows most Americans think traditional 4-year college best route to satisfying career, but nearly half expect importance of traditional college education to decline over next decade, with trade school offering an equal or better return on investment.
HILLSBOROUGH, N.C., Aug. 6, 2024 /PRNewswire/ — College Consensus, a comprehensive resource for college rankings and information, has released results of a new poll asking Americans about their confidence in higher education. Their findings can be seen at:
It’s part of a wave of program cuts in recent months, as U.S. colleges large and small try to make ends meet. Among their budget challenges: Federal COVID relief money is now gone, operational costs are rising and fewer high school graduates are going straight to college.
The cuts mean more than just savings, or even job losses. Often, they create turmoil for students who chose a campus because of certain degree programs and then wrote checks or signed up for student loans.
“For me, it’s really been anxiety-ridden,” said Westman, 23, as she began the effort that ultimately led her to transfer to Augsburg University in Minneapolis. “It’s just the fear of the unknown.”
