Why is interdisciplinary learning still so fragmented — even in 2025?

Something I’ve been wrestling with lately:

In most educational systems — even the best universities — we still teach in strict silos. You take CS. You take bio. You take philosophy. Maybe if you’re lucky, there’s a token “interdisciplinary” course. But the systems-level connections between fields are left up to the learner to discover — if ever.

But real understanding often emerges in the overlap:

• ML ↔ neuroscience ↔ cognition
• Control systems ↔ feedback loops in biology
• Philosophy of mind ↔ information theory ↔ AI ethics
• Cybernetics ↔ psychology ↔ design

As someone who’s been building a personal knowledge system around this, I realized:

I've been prototyping a tool for myself — to help map out learning paths that cross domains, build interconnected mental models, and avoid the "YouTube rabbit hole with no retention" problem.
Not selling anything — just wondering:

How are educators here approaching cross-disciplinary teaching?

• Do you intentionally design curricula that show students how fields connect?
• Are there tools or frameworks you use to help learners retain complexity?
• What’s worked, what hasn’t?

I’d love to learn from people actually in the trenches of education — teachers, curriculum designers, researchers. What would an education system look like if it was optimized for systems-level thinking, not standardized checklists?

Submitted July 06, 2025 at 08:38AM by mr_reboot_ https://ift.tt/v2fa5Vc