#education-startups

#education-startups

The first event is a roundtable on "Zhuangzi: Fate, Desires, Transformation" on April 6th at 9:00am Beijing time.

You just have to immerse yourself in it. You should just constantly be building. That's what's going to give you the best chance of having the relevant skill set that is needed to make a difference in technology.

Bias risks: AI can amplify inequalities, like mislabeling non-native English writing as AI-generated. Privacy concerns: Schools face rising cyberattacks, and data misuse risks are high. Accountability: Human oversight is crucial to prevent over-reliance on AI.

The passion for teaching is a powerful force, but it's being tested like never before. Across the globe, educators are facing a crisis of burnout, and a significant, often overlooked, factor is the ever-increasing burden of administrative tasks. This isn't just about paperwork; it's a systemic issue that's driving talented tutors and teachers away from the profession, with profound consequences for the future of learning.

A recent study on students' intentions to take online courses highlights that performance expectancy, hedonic motivation, and flexibility are the main reasons why students adopt online learning programs. This finding is like what I have seen in the study of student enrollment trends in higher education. If we want to discover the secret of turning student curiosity into a commitment to completing an academic program, we need to understand the motivations for student course enrollment.

We don't need more courses. We need better ones. Everywhere I look, someone is launching a "Learn Figma in 5 Days" crash course or a "Top 10 AI Hacks for Beginners" tutorial. And don't get me wrong - those courses aren't useless. They scratch an itch, they help you pick up a tool, and sometimes they even get you to a quick win.

Scaling learning should be a sign of success. More employees. More roles. More regions. More skills to build. On the surface, these are the markers of a growing, forward-moving organization. But for many Learning and Development (L&D) teams, scaling learning feels less like progress and more like pressure. Every new hire cohort, geographic expansion, or capability initiative introduces friction. What once worked well for a few hundred employees begins to strain-and eventually break-when applied to thousands.

When we look more closely at how and why organizations actually invest in these systems, we can see that the popularity of adaptive learning has far less to do with pedagogical ambition and far more to do with operational pressure. Understanding this gap between how adaptive learning is marketed and how it is used in practice is critical for organizations trying to decide whether it is the right approach for their learning needs.