Professional, Continuing, and Online Education Update by UPCEA
Daily updates of news, research and trends by UPCEA
Click on the URL at the end of posting to visit the relevant article or website mentioned in the post.
Friday, June 19, 2026
Americans looking for proof of the value of higher ed - Matt Zalaznick, University Business
A framework for ensuring student AI proficiency - Margaret Ellis, Times Higher Education
Over the past few semesters, I have structured my teaching around a framework that helps students build that capability: demystify, use and reflect. Many students arrive with strong opinions about AI but only a partial understanding of how these systems work. Some see them as nearly magical tools that can produce answers instantly. Others dismiss them as unreliable or assume they are only useful for technical specialists. Demystifying AI begins with explaining the basic ideas behind large language models (LLMs) and related systems. We show students how these models are trained, what kinds of data they rely on and why their outputs can sometimes appear confident even when they are incorrect.
The state of international enrollment in 6 charts - Laura Spitalniak, Higher Ed Dive
Thursday, June 18, 2026
Transforming Enrollment Management in the Field of Online Learning - Vickie S. Cook, OLC Online Learning Journal
UPCEA Releases Guidebook on Employer Engagement and Credential Innovation
Remote work — not AI — has sidelined recent college graduates, research finds - Andrea Hsu, NPR
Wednesday, June 17, 2026
Coursera Launches Its Short-Form Content With AI Curation - Edited by Adam Harrie, this article was written with the assistance of AI; Trend-Hunter
Coursera introduced a scrollable short-form content feed that delivers bite-sized educational videos and explainers, featuring AI-driven personalization tailored to users’ interests, learning habits, career goals and previous course activity. The company positioned the feature as an entry point to deeper learning experiences rather than a replacement for full-length courses and certification programs.The feed surfaces content across subjects such as coding, data science, business, productivity and personal development, while continuously adapting recommendations based on user engagement and learning behavior. The design mirrors recommendation-driven content platforms, emphasizing discoverability and short-form learning experiences.
What is CourseAI? - Moodle
Explaining reported generative AI engagement in higher education: an extended TAM with ethical compatibility and reliance-based trust - Zhenyu Liu, et al: Nature
The rapid integration of generative artificial intelligence (AI) tools into higher education has intensified conversations regarding usefulness, ethical alignment, and responsible engagement. Unlike traditional technology acceptance studies that focus on initial use, this study examines AI use intensity among active university users. Building on an extended Technology Acceptance Model (TAM), the model incorporates AI-Alignment Construct, reliance-based trust in AI outputs, and normative alignment within academic contexts. Data were collected from 637 university students and analyzed using variance-based structural equation modeling. The results indicate that perceived usefulness remains the strongest predictor of AI use. Furthermore, reliance-based trust and AI-Alignment Construct demonstrate statistically significant correlations with engagement, whereas moderation hypotheses were not supported.
Tuesday, June 16, 2026
Where today's job seekers have the best chance of getting hired - Mark Huffman, Consumer Affairs
Online Is a "Safe Space" in War - Robert Ubell, AI Learning Insights Substack
92% of US employers willing to offer higher starting salaries to graduates with micro-credentials - Business Wire
New Coursera report highlights growing ROI on industry micro-credentials for learners, employees, and employers
Monday, June 15, 2026
New Federal Guidelines Threaten Almost Half of Graduate Arts Programs - Zachary Small, NY Times
The Education Department is finalizing guidelines for an earnings test that would punish nearly half of all graduate programs in visual arts, music and performance based on the low income of recent alumni, according to the government’s calculations. The proposed guidelines apply to all university programs, and institutions whose alumni fail to meet them twice in three years could lose their ability to enroll students using federal loans. Those students would most likely need to transfer to other programs or quit their education. According to experts, that would lead to a sharp decrease in enrollment and the likelihood of school closures. For master’s degree programs, the agency would calculate the earnings of alumni four years after graduation to see whether they earn more than the median salary for working adults aged 25 to 34 who have a bachelor’s degree. Previous tests measured all programs against the salary of working adults with high school diplomas — a lower threshold for universities to pass.
Higher ed’s next crisis won’t start in the classroom. It will start in the cloud - James L. Norrie, University Business
The board’s role in managing emerging AI risks - McKinsey
Saturday, June 13, 2026
Reimagining What Higher Education Can Be - Kristen Turner, Drew University
A framework for ensuring student AI proficiency - Margaret Ellis, Times Higher Education
Over the past few semesters, I have structured my teaching around a framework that helps students build that capability: demystify, use and reflect. Many students arrive with strong opinions about AI but only a partial understanding of how these systems work. Some see them as nearly magical tools that can produce answers instantly. Others dismiss them as unreliable or assume they are only useful for technical specialists. Demystifying AI begins with explaining the basic ideas behind large language models (LLMs) and related systems. We show students how these models are trained, what kinds of data they rely on and why their outputs can sometimes appear confident even when they are incorrect.
‘If we make AI the enemy then surely it must become one’ - Stuart Christie, Times Higher Education
Friday, June 12, 2026
Five words and a GenAI prompt to spark deeper online learning - MarĂa Robertha Leal Isida and Dania Arriola Arteaga, Times Higher Ed
Will AI Help Revive the ‘Stale’ OPM Market? - Kathryn Palmer, Inside Higher Ed
Are academics making an (em) dash for AI? - Times Higher Education
In the four years since its commercial launch, generative artificial intelligence has had a profound impact on personal and professional life. But are academics enthusiasts or sceptics? Five scholars explain how the technology has affected their own practice – for good and bad. Artificial intelligence writing is instantly recognisable, we are told—soulless, dispassionate, and devoid of the spark that marks genuine thought. Historian Jonathan Rees, in Academe this spring, calls it “bland, unspecific, pedestrian prose”. Journalist and UCL academic Sarfraz Manzoor, in a recent piece for The Independent, concluded that an AI article his students read was “competent but forgettable”. Scroll through r/professors on any given day and you will find dozens, if not hundreds, of colleagues enthusiastically nodding along and complaining bitterly about students submitting work that any fool can see was written by a machine.