OpenAI and NVIDIA announce strategic partnership to deploy 10 gigawatts of NVIDIA systems — from openai.com

  • Strategic partnership enables OpenAI to build and deploy at least 10 gigawatts of AI datacenters with NVIDIA systems representing millions of GPUs for OpenAI’s next-generation AI infrastructure.
  • To support the partnership, NVIDIA intends to invest up to $100 billion in OpenAI progressively as each gigawatt is deployed.
  • The first gigawatt of NVIDIA systems will be deployed in the second half of 2026 on NVIDIA’s Vera Rubin platform.

Also on Nvidia’s site here.

The Neuron Daily comments on this partnership here and also see their thoughts here:

Why this matters: The partnership kicks off in the second half of 2026 with NVIDIA’s new Vera Rubin platform. OpenAI will use this massive compute power to train models beyond what we’ve seen with GPT-5 and likely also power what’s called inference (when you ask a question to chatGPT, and it gives you an answer). And NVIDIA gets a guaranteed customer for their most advanced chips. Infinite money glitch go brrr am I right? Though to be fair, this kinda deal is as old as the AI industry itself.

This isn’t just about bigger models, mind you: it’s about infrastructure for what both companies see as the future economy. As Sam Altman put it, “Compute infrastructure will be the basis for the economy of the future.”

Our take: We think this news is actually super interesting when you pair it with the other big headline from today: Commonwealth Fusion Systems signed a commercial deal worth more than $1B with Italian energy company Eni to purchase fusion power from their 400 MW ARC plant in Virginia. Here’s what that means for AI…

…and while you’re on that posting from The Neuron Daily, also see this piece:

AI filmmaker Dinda Prasetyo just released “Skyland,” a fantasy short film about a guy named Aeryn and his “loyal flying fish”, and honestly, the action sequences look like they belong in an actual film…

What’s wild is that Dinda used a cocktail of AI tools (Adobe FireflyMidJourney, the newly launched Luma Ray 3, and ElevenLabs) to create something that would’ve required a full production crew just two years ago.


The Era of Prompts Is Over. Here’s What Comes Next. — from builtin.com by Ankush Rastogi
If you’re still prompting your AI, you’re behind the curve. Here’s how to prepare for the coming wave of AI agents.

Summary: Autonomous AI agents are emerging as systems that handle goals, break down tasks and integrate with tools without constant prompting. Early uses include call centers, healthcare, fraud detection and research, but concerns remain over errors, compliance risks and unchecked decisions.

The next shift is already peeking around the corner, and it’s going to make prompts look primitive. Before long, we won’t be typing carefully crafted requests at all. We’ll be leaning on autonomous AI agents, systems that don’t just spit out answers but actually chase goals, make choices and do the boring middle steps without us guiding them. And honestly, this jump might end up dwarfing the so-called “prompt revolution.”


Chrome: The browser you love, reimagined with AI — from blog.google by Parisa Tabriz

A new way to get things done with your AI browsing assistant
Imagine you’re a student researching a topic for a paper, and you have dozens of tabs open. Instead of spending hours jumping between sources and trying to connect the dots, your new AI browsing assistant — Gemini in Chrome 1 — can do it for you. Gemini can answer questions about articles, find references within YouTube videos, and will soon be able to help you find pages you’ve visited so you can pick up exactly where you left off.

Rolling out to Mac and Windows users in the U.S. with their language set to English, Gemini in Chrome can understand the context of what you’re doing across multiple tabs, answer questions and integrate with other popular Google services, like Google Docs and Calendar. And it’ll be available on both Android and iOS soon, letting you ask questions and summarize pages while you’re on the go.

We’re also developing more advanced agentic capabilities for Gemini in Chrome that can perform multi-step tasks for you from start to finish, like ordering groceries. You’ll remain in control as Chrome handles the tedious work, turning 30-minute chores into 3-click user journeys.


 

Provosts Are a ‘Release Valve’ for Campus Controversy — from insidehighered.com by Emma Whitford
According to former Western Michigan provost Julian Vasquez Heilig, provosts are stuck driving change with few, if any, allies, while simultaneously playing crisis manager for the university.

After two years, he stepped down, and he now serves as a professor of educational leadership, research and technology at Western Michigan. His frustrations with the provost role had less to do with Western Michigan and more to do with how the job is designed, he explained. “Each person sees the provost a little differently. The faculty see the provost as administration, although, honestly, around the table at the cabinet, the provost is probably the only faculty member,” Heilig said. “The trustees—they see the provost as a middle manager below the president, and the president sees [the provost] as a buffer from issues that are arising.”

Inside Higher Ed sat down with Heilig to talk about the provost job and all he’s learned about the role through years of education leadership research, conversations with colleagues and his own experience.



Brandeis University launches a new vision for American higher education, reinventing liberal arts and emphasizing career development — from brandeis.edu

Levine unveiled “The Brandeis Plan to Reinvent the Liberal Arts,” a sweeping redesign of academic structures, curricula, degree programs, teaching methods, career education, and student support systems. Developed in close partnership with Brandeis faculty, the plan responds to a rapidly shifting landscape in which the demands on higher education are evolving at unprecedented speed in a global, digital economy.

“We are living through a time of extraordinary change across technology, the economy, and society,” Levine said. “Today’s students need more than knowledge. They need the skills, experiences, and confidence to lead in a world we cannot yet predict. We are advancing a new model. We need reinvention. And that’s exactly what Brandeis is establishing.”

The Brandeis Plan transforms the student experience by integrating career preparation into every stage of a student’s education, requiring internships or apprenticeships, sustaining career counseling, and implementing a core curriculum built around the skills that employers value most. The plan also reimagines teaching. It will be more experiential and practical, and introduce new ways to measure and showcase student learning and growth over time.



Tuition Tracker from the Hechinger Report



 

GRCC students to use AI to help businesses solve ‘real world’ challenges in new course — from www-mlive-com.cdn.ampproject.org by Brian McVicar; via Patrick Bailey on LinkedIn

GRAND RAPIDS, MI — A new course at Grand Rapids Community College aims to help students learn about artificial intelligence by using the technology to solve real-world business problems.

In a release, the college said its grant application was supported by 20 local businesses, including Gentex, TwistThink and the Grand Rapids Public Museum. The businesses have pledged to work with students who will use business data to develop an AI project such as a chatbot that interacts with customers, or a program that automates social media posts or summarizes customer data.

“This rapidly emerging technology can transform the way businesses process data and information,” Kristi Haik, dean of GRCC’s School of Science, Technology, Engineering and Mathematics, said in a statement. “We want to help our local business partners understand and apply the technology. We also want to create real experiences for our students so they enter the workforce with demonstrated competence in AI applications.”

As Patrick Bailey said on LinkedIn about this article:

Nice to see a pedagogy that’s setting a forward movement rather than focusing on what could go wrong with AI in a curriculum.


Forecast for Learning and Earning in 2025-2026 report — from pages.asugsvsummit.com by Jennifer Lee and Claire Zau

In this look ahead at the future of learning and work, we aim to define:

  • Major thematic observations
  • What makes this moment an inflection point
  • Key predictions (and their precedent)
  • Short- and long-term projected impacts


The LMS at 30: From Course Management to Learning Management (At Last) — from onedtech.philhillaa.com; a guest post from Matthew Pittinsky, Ph.D.

As a 30 year observer and participant, it seems to me that previous technology platform shifts like SaaS and mobile did not fundamentally change the LMS. AI is different. We’re standing at the precipice of LMS 2.0, where the branding change from Course Management System to Learning Management System will finally live up to its name. Unlike SaaS or mobile, AI represents a technology platform shift that will transform the way participants interact with learning systems – and with it, the nature of the LMS itself.

Given the transformational potential of AI, it is useful to set the context and think about how we got here, especially on this 30th anniversary of the LMS.

LMS at 30 Part 2: Learning Management in the AI Era — from onedtech.philhillaa.com; a guest post from Matthew Pittinsky, Ph.D.

Where AI is disruptive is in its ability to introduce a whole new set of capabilities that are best described as personalized learning services. AI offers a new value proposition to the LMS, roughly the set of capabilities currently being developed in the AI Tutor / agentic TA segment. These new capabilities are so valuable given their impact on learning that I predict they will become the services with greatest engagement within a school or university’s “enterprise” instructional platform.

In this way, by LMS paradigm shift, I specifically mean a shift from buyers valuing the product on its course-centric and course management capabilities, to valuing it on its learner-centric and personalized learning capabilities.


AI and the future of education: disruptions, dilemmas and directions — from unesdoc.unesco.org

This anthology reveals how the integration of AI in education poses profound philosophical, pedagogical, ethical and political questions. As this global AI ecosystem evolves and becomes increasingly ubiquitous, UNESCO and its partners have a shared responsibility to lead the global discourse towards an equity- and justice-centred agenda. The volume highlights three areas in which UNESCO will continue to convene and lead a global commons for dialog and action particularly in areas on AI futures, policy and practice innovation, and experimentation.

  1. As guardian of ethical, equitable human-centred AI in education.
  2. As thought leader in reimagining curriculum and pedagogy
  3. As a platform for engaging pluralistic and contested dialogues

AI, copyright and the classroom: what higher education needs to know — from timeshighereducation.com by Cayce Myers
As artificial intelligence reshapes teaching and research, one legal principle remains at the heart of our work: copyright. Understanding its implications isn’t just about compliance – it’s about protecting academic integrity, intellectual property and the future of knowledge creation. Cayce Myers explains


The School Year We Finally Notice “The Change” — from americanstogether.substack.com by Jason Palmer

Why It Matters
A decade from now, we won’t say “AI changed schools.” We’ll say: this was the year schools began to change what it means to be human, augmented by AI.

This transformation isn’t about efficiency alone. It’s about dignity, creativity, and discovery, and connecting education more directly to human flourishing. The industrial age gave us schools to produce cookie-cutter workers. The digital age gave us knowledge anywhere, anytime. The AI age—beginning now—gives us back what matters most: the chance for every learner to become infinitely capable.

This fall may look like any other—bells ringing, rows of desks—but beneath the surface, education has begun its greatest transformation since the one-room schoolhouse.


How should universities teach leadership now that teams include humans and autonomous AI agents? — from timeshighereducation.com by Alex Zarifis
Trust and leadership style are emerging as key aspects of teambuilding in the age of AI. Here are ways to integrate these considerations with technology in teaching

Transactional and transformational leaderships’ combined impact on AI and trust
Given the volatile times we live in, a leader may find themselves in a situation where they know how they will use AI, but they are not entirely clear on the goals and journey. In a teaching context, students can be given scenarios where they must lead a team, including autonomous AI agents, to achieve goals. They can then analyse the situations and decide what leadership styles to apply and how to build trust in their human team members. Educators can illustrate this decision-making process using a table (see above).

They may need to combine transactional leadership with transformational leadership, for example. Transactional leadership focuses on planning, communicating tasks clearly and an exchange of value. This works well with both humans and automated AI agents.

 

The Transformative Power of Arts Education | A Conversation with Dr. Lucy Chen — from gettingsmart.com by Mason Pashia

Key Points

  • Arts education boosts academic performance, communication skills, and student engagement, supported by long-term data.
  • Tailoring arts programs to individual student needs creates impactful pathways, from foundational exposure to professional aspirations.

12 Shifts to Move from Teacher-Led to Student-Centered Environments — from gettingsmart.com by Kyle Wagner

Key Points

  • Despite modern technological advancements in classroom tools, many educational settings still center around a traditional model where the teacher is the primary source of information and students passively receive content.
  • Slowly, learning environments are inviting students to actively participate and take ownership of their learning through collaborative projects, inquiry-based experiences, and real-world problem-solving, thereby transforming traditional educational roles and practices.

From Readiness to Relevance: 3 Ways to Transform Career Connected Learning — from gettingsmart.com by Dr. Mahnaz R. Charania

Key Points

  • Career-connected learning must start early and be integrated across K–12 to provide students with exposure and informed choices for their futures.
  • Real-world, immersive learning experiences enhance student engagement and help build critical skills, social capital, and opportunities for success.
 

The 2025 Changing Landscape of Online Education (CHLOE) 10 Report — from qualitymatters.org; emphasis below from DSC

Notable findings from the 73-page report include: 

  • Online Interest Surges Across Student Populations: 
  • Institutional Preparedness Falters Amid Rising Demand: Despite accelerating demand, institutional readiness has stagnated—or regressed—in key areas.
  • The Online Education Marketplace Is Increasingly Competitive: …
  • Alternative Credentials Take Center Stage: …
  • AI Integration Lacks Strategic Coordination: …

Just 28% of faculty are considered fully prepared for online course design, and 45% for teaching. Alarmingly, only 28% of institutions report having fully developed academic continuity plans for future emergency pivots to online.


Also relevant, see:


Great Expectations, Fragile Foundations — from onedtech.philhillaa.com by Glenda Morgan
Lessons about growth from the CHLOE & BOnES reports

Cultural resistance remains strong. Many [Chief Online Learning Officers] COLOs say faculty and deans still believe in-person learning is “just better,” creating headwinds even for modest online growth. As one respondent at a four-year institution with a large online presence put it:

Supportive departments [that] see the value in online may have very different levels of responsiveness compared to academic departments [that] are begrudgingly online. There is definitely a growing belief that students “should” be on-ground and are only choosing online because it’s easy/ convenient. Never mind the very real and growing population of nontraditional learners who can only take online classes, and the very real and growing population of traditional-aged learners who prefer online classes; many faculty/deans take a paternalistic, “we know what’s best” approach.


Ultimately, what we need is not just more ambition but better ambition. Ambition rooted in a realistic understanding of institutional capacity, a shared strategic vision, investments in policy and infrastructure, and a culture that supports online learning as a core part of the academic mission, not an auxiliary one. It’s time we talked about what it really takes to grow online learning , and where ambition needs to be matched by structure.

From DSC:
Yup. Culture is at the breakfast table again…boy, those strategies taste good.

I’d like to take some of this report — like the graphic below — and share it with former faculty members and members of a couple of my past job families’ leadership. They strongly didn’t agree with us when we tried to advocate for the development of online-based learning/programs at our organizations…but we were right. We were right all along. And we were LEADING all along. No doubt about it — even if the leadership at the time said that we weren’t leading.

The cultures of those organizations hurt us at the time. But our cultivating work eventually led to the development of online programs — unfortunately, after our groups were disbanded, they had to outsource those programs to OPMs.


Arizona State University — with its dramatic growth in online-based enrollments.

 

Collaborative innovation — from marketoonist.com

Disney alum Paul Williams once shared the brainstorming method developed by Walt Disney. Disney used to separate the act of coming up with and executing ideas into three distinct steps (and associated mindsets): The Dreamer, The Realist, and The Spoiler.

As Paul wrote:

“By compartmentalizing the stages, Walt didn’t let reality get in the way of the dream step. The realist was allowed to work without the harsh filter of a spoiler. And, the spoiler spends time examining a well-thought idea… something with a bit more structure.

“When we brainstorm alone and in groups – too often – we tend to fill the room with a dreamer or two, a few realists, and a bunch of spoilers. In these conditions, dream ideas don’t stand a chance.”

The Dreamer mentality specializes in blue sky thinking without constraints, the Realist mentality puts practical structure to the ideas, and the Spoiler asks the hard questions and kicks the tires. We need all three mindsets. But we need those mindsets at the right time and in the right way.


From DSC:
How true this is! I’m the Dreamer in the room…and have been shut down more times than I can count. For all of you Visionaries and Dreamers out there, keep trying! And consider establishing something like Walt Disney did.


 

AI’s Impact on Early Talent: Building Today’s Education-to-Employment Systems for Tomorrow’s Workforce — from bhef.com by Kristen Fox and Madison Myers

To rise above the threshold, consider the skills that our board member and Northeastern University President Joseph Aoun outlines as essential literacies in Robot-Proof: Higher Education in the Age of Artificial Intelligence. In addition to technical and data literacies, he shares two key components of human literacy.

First, a set of “catalytic capacities” that include:

  • Initiative and self-reliance
  • Comfort with risk
  • Flexibility and adaptability

Second, a set of “creative capacities” that include:

  • Opportunity recognition, or the ability to see and experience problems as opportunities to create solutions
  • Creative innovation, or the ability to create solutions without clearly defined structures
  • Future innovation, or the disposition to orient toward future developments in society

The most effective approach to achieve these outcomes? Interdisciplinary models that embed skills flexibly across curriculum, that engage learners as part of networks, teams, and exploration, and that embed applied experiences in real-world contexts. Scott Carlson and Ned Laff have laid out some great examples of what this looks like in action in Hacking College.

The bottom line: the expectations of entry-level talent are rising while the systems to achieve that level of context and understanding are not necessarily keeping pace. 

 

One-size-fits-all learning is about to become completely obsolete. — from linkedin.com by Allie Miller


AI in the University: From Generative Assistant to Autonomous Agent This Fall — from insidehighered.com by
This fall we are moving into the agentic generation of artificial intelligence.

“Where generative AI creates, agentic AI acts.” That’s how my trusted assistant, Gemini 2.5 Pro deep research, describes the difference.

Agents, unlike generative tools, create and perform multistep goals with minimal human supervision. The essential difference is found in its proactive nature. Rather than waiting for a specific, step-by-step command, agentic systems take a high-level objective and independently create and execute a plan to achieve that goal. This triggers a continuous, iterative workflow that is much like a cognitive loop. The typical agentic process involves six key steps, as described by Nvidia:


AI in Education Podcast — from aipodcast.education by Dan Bowen and Ray Fleming


The State of AI in Education 2025 Key Findings from a National Survey — from Carnegie Learning

Our 2025 national survey of over 650 respondents across 49 states and Puerto Rico reveals both encouraging trends and important challenges. While AI adoption and optimism are growing, concerns about cheating, privacy, and the need for training persist.

Despite these challenges, I’m inspired by the resilience and adaptability of educators. You are the true game-changers in your students’ growth, and we’re honored to support this vital work.

This report reflects both where we are today and where we’re headed with AI. More importantly, it reflects your experiences, insights, and leadership in shaping the future of education.


Instructure and OpenAI Announce Global Partnership to Embed AI Learning Experiences within Canvas — from instructure.com

This groundbreaking collaboration represents a transformative step forward in education technology and will begin with, but is not limited to, an effort between Instructure and OpenAI to enhance the Canvas experience by embedding OpenAI’s next-generation AI technology into the platform.

IgniteAI announced earlier today, establishes Instructure’s future-ready, open ecosystem with agentic support as the AI landscape continues to evolve. This partnership with OpenAI exemplifies this bold vision for AI in education. Instructure’s strategic approach to AI emphasizes the enhancement of connections within an educational ecosystem comprising over 1,100 edtech partners and leading LLM providers.

“We’re committed to delivering next-generation LMS technologies designed with an open ecosystem that empowers educators and learners to adapt and thrive in a rapidly changing world,” said Steve Daly, CEO of Instructure. “This collaboration with OpenAI showcases our ambitious vision: creating a future-ready ecosystem that fosters meaningful learning and achievement at every stage of education. This is a significant step forward for the education community as we continuously amplify the learning experience and improve student outcomes.”


Faculty Latest Targets of Big Tech’s AI-ification of Higher Ed — from insidehighered.com by Kathryn Palmer
A new partnership between OpenAI and Instructure will embed generative AI in Canvas. It may make grading easier, but faculty are skeptical it will enhance teaching and learning.

The two companies, which have not disclosed the value of the deal, are also working together to embed large language models into Canvas through a feature called IgniteAI. It will work with an institution’s existing enterprise subscription to LLMs such as Anthropic’s Claude or OpenAI’s ChatGPT, allowing instructors to create custom LLM-enabled assignments. They’ll be able to tell the model how to interact with students—and even evaluate those interactions—and what it should look for to assess student learning. According to Instructure, any student information submitted through Canvas will remain private and won’t be shared with OpenAI.

Faculty Unsurprised, Skeptical
Few faculty were surprised by the Canvas-OpenAI partnership announcement, though many are reserving judgment until they see how the first year of using it works in practice.


 

Partnerships to make higher education work for the workforce — from timeshighereducation.com by Brooke Wilson
Fostering long-term industry partners can enhance student outcomes and prepare them for the workplace of the future. Here’s how to get the best out of them

As the pace of change accelerates across all industries, higher education institutions face increasing pressure to ensure their graduates are prepared for the workplace demands of today – and tomorrow. Cultivating meaningful partnerships with industry is no longer optional; it’s necessary.

From curriculum co-design to experiential learning, universities can collaborate with businesses and industries in several ways to enhance student outcomes and strengthen regional economies.


The keys to strong university–non-profit partnerships — from timeshighereducation.com by Mariana Leyva, Martha Sáenz, and Itzel Eguiluz
Collaborative projects between universities and non-profits nurture empathy and allow students to make a real-world impact. Here, three educators share their tips for building meaningful partnerships that benefit students and communities alike

Collaborative projects between universities and non-profits nurture empathy and allow students to make a real-world impact. Here, three educators share their tips for building meaningful partnerships that benefit students and communities alike.

 

Building a learning ecosystem that drives business results — from chieflearningofficer.com by Nick Romanowski
How SAX combined adaptive e-learning and experiential workshops to accelerate capability development and impact the bottom line.

At SAX, we know that to succeed in today’s market, we need professionals who can learn quickly, apply that learning effectively and continuously adapt as client needs evolve.

Yet traditional training methods were no longer enough. Our firm faced familiar challenges: helping staff meet continuing professional education requirements efficiently, uncovering knowledge gaps to guide development and building a more capable, more client-ready workforce.

We found our solution in a flipped learning model that blends adaptive e-learning with live, experiential workshops. The results were transformative. We accelerated CPE credit completion by more than 50 percent, reclaimed 173 billable hours and equipped our people with deeper capabilities.

Here’s how we did it, and what we learned along the way.

Blend technology and human touch: Adaptive e-learning addresses individual knowledge gaps efficiently. Live workshops enable skill development through practice and feedback. Together, they drive both learning efficiency and behavior change.

 

From DSC:
Read through the article below. It’s an excellent example of a learning ecosystem, one that has been developed and practiced by Tiago Forte.

My 4-Stage System for Learning Anything New — from fortelabs.com by Tiago Forte

  • Stage 1: Immersion – Get Maximum Exposure
  • Stage 2: Building – Make Something Real
  • Stage 3: Structured Learning – Find Your Mentors
  • Stage 4: Connection – Build Real Relationships
  • The Secret Ingredient: Cultivating Play in Learning
 

On blogging (again) — from by Martin Weller

I also pondered what functions blogging has provided for me over the years.

  • Continuity – as an individual you persist across multiple organisations, roles and jobs. Although I stayed in one institution, I had many roles and the blog wasn’t associated with one specific project. Now I have left it continues.
  • Holistic – you can blog about one topic, but over time I think some personality will creep in. You are not just one thing, you have a personal life, tastes, interests etc which will all feed into what you do. A blog allows this more rounded representation.
  • Experimentation – there is relatively low cost and risk for much of it (this may not be the case for many people online, we need to acknowledge), so you can try things, and if they don’t work, so what? Also you can try formats that conventional outlets might not be appropriate for.
  • Development – the blog has been both an intentional and unintentional vehicle for working up ideas, documenting the process and getting feedback, which have led to more substantial outputs, such as books, project proposals and papers. Most importantly though it has been the means through which I have continually developed writing.
  • Connecting – particularly in those halcyon early days, it was a good way of finding others, working on ideas together, sharing something of yourself. A lot of my career related personal friendships have resulted from blogging.
  • Publicity – I became at one point (the OU crisis of 2018) something of a public voice of the OU, and have often used the blog for projects such as GO-GN

That’s not a bad return for a lil’ ol’ blog. I couldn’t say the same for academic journals.

 

Is graduate employability a core university priority? — from timeshighereducation.com by Katherine Emms and Andrea Laczik
Universities, once judged primarily on the quality of their academic outcomes, are now also expected to prepare students for the workplace. Here’s how higher education is adapting to changing pressures

A clear, deliberate shift in priorities is under way. Embedding employability is central to an Edge Foundation report, carried out in collaboration with UCL’s Institute of Education, looking at how English universities are responding. In placing employability at the centre of their strategies – not just for professional courses but across all disciplines – the two universities that were analysed in this research show how they aim to prepare students for the labour market overall. Although the employability strategy is initialled by the universities’ senior leaders, the research showed that realising this employability strategy must be understood and executed by staff at all levels across departments. The complexity of offering insights into industry pathways and building relevant skills involves curricula development, student-centred teaching, careers support, partnership work and employer engagement.


Every student can benefit from an entrepreneurial mindset — from timeshighereducation.com by Nicolas Klotz
To develop the next generation of entrepreneurs, universities need to nurture the right mindset in students of all disciplines. Follow these tips to embed entrepreneurial education

This shift demands a radical rethink of how we approach entrepreneurial mindset in higher education. Not as a specialism for a niche group of business students but as a core competency that every student, in every discipline, can benefit from.

At my university, we’ve spent the past several years re-engineering how we embed entrepreneurship into daily student life and learning.

What we’ve learned could help other institutions, especially smaller or resource-constrained ones, adapt to this new landscape.

The first step is recognising that entrepreneurship is not only about launching start-ups for profit. It’s about nurturing a mindset that values initiative, problem-solving, resilience and creative risk-taking. Employers increasingly want these traits, whether the student is applying for a traditional job or proposing their own venture.


Build foundations for university-industry partnerships in 90 days— from timeshighereducation.com by Raul Villamarin Rodriguez and Hemachandran K
Graduate employability could be transformed through systematic integration of industry partnerships. This practical guide offers a framework for change in Indian universities

The most effective transformation strategy for Indian universities lies in systematic industry integration that moves beyond superficial partnerships and towards deep curriculum collaboration. Rather than hoping market alignment will occur naturally, institutions must reverse-engineer academic programmes from verified industry needs.

Our six-month implementation at Woxsen University demonstrates this framework’s practical effectiveness, achieving more than 130 industry partnerships, 100 per cent faculty participation in transformation training, and 75 per cent of students receiving industry-validated credentials with significantly improved employment outcomes.


 

Some serious timing and teamwork here!

 

Live Your Creed, Langston Hughes — via a recent e-newsletter from Getting Smart

I’d rather see a sermon than to hear one any day.
I’d rather one walk with me than just to show the way.
The eye is a better pupil and more willing than the ear.
Advice may be misleading but examples are always clear.
And the very best of teachers are the ones who live their
creed,
For to see good put into action is what everybody needs.
I can soon learn to do it if you let me see it done.
I can watch your hand in motion but your tongue too fast
may run
And the lectures you deliver may be very fine and true
But I’d rather get my lesson by observing what you do.
For I may misunderstand you and the fine advice you give
But there’s no misunderstanding how you act and how
you live.

 
© 2025 | Daniel Christian