John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

Higher Education Reform: Why Structural Change Beats Vision

We've mistaken the naming of experience for the knowing of it, and higher education shows the gap in full. The vision of a more living university resonates, but vision alone won't move a system wired to reward what's countable over what's truly knowable.

Name the real blockers

So let's start where reform stories usually misfire. Universities aren't just “stuck” at a developmental level; they're entangled in incentive scaffolding. Hiring and promotion lean on publications, not participation; assessment leans on credentials, not demonstrable insight. Without redesigning that alignment field, spiritual language turns into a slogan instead of a system.

Consider a senior seminar at a mid-sized public university: the syllabus weights citations at 40%, live discussion at 10%, and field observation at 0%. In week six, a lecturer skips a student-led practicum to meet a journal deadline, because that line on a CV carries real career weight. The system didn't “miss the moment”; it rewarded the choice it was built to value.

If we name the machinery honestly, we can aim reform where it bites, setting us up to hold meaning with more precision, not less.

Hold differences with care

If incentives explain the machinery, meaning still shapes the aim. The claim that Norse, Vedic, Zen, Christian, and quantum metaphors all point to one “womb of everything” reads beautifully, and risks flattening distinct ways of knowing. Convergence can inspire, but over-merging can blur the very edges that teach us. Treat each tradition as a distinct resonance band: related, sometimes harmonizing, but not interchangeable.

Picture an interfaith seminar that maps Zen emptiness and Christian kenosis into a tidy Venn diagram. Students leave with overlapping terms but no feel for how each practice lands in the body, time, and speech. When the symbols replace the senses, the coreprint of each path gets washed out. Respecting differences isn't a detour; it's a design constraint for how we make experience teachable without turning it into a new orthodoxy.

Make experience verifiable

With differences held, the open question is how to make inner experience educable and checkable without freezing it. The aim isn't doctrine; it's operational clarity. We can pair first-person practice with third-person transparency so peers can see, question, and refine. Think of it as a modest framework loop: practice, observe, compare, revise, without pretending to total proof.

For example, in a contemplative methods studio, students run a 10-minute breath practice daily for two weeks. They log observations in plain language, attach a timestamped audio note once per week, and meet a partner who mirrors back what they heard without interpretation. The rubric scores observation clarity, separation of description from theory, and responsiveness to feedback, not belief.

Here's a simple micro-protocol to keep experience alive and checkable without dogma:

  1. Describe only observables for one minute after practice; avoid theory words.
  2. Share with a partner who mirrors phrasing back verbatim; no advice.
  3. Note one change you'll test tomorrow; keep it small and concrete.
  4. After a week, compare notes for patterns you both can point to.

This balance gives us a minimal trajectory proof: not ultimate truth claims, but public-enough signals that learning is happening, so we can justify shifting what we reward next.

Rewire incentives locally

Once methods are teachable and checkable, we can move the levers that actually steer behavior. Start in the smallest viable unit, a course, then a program. Weight grades toward participatory evidence alongside analysis. Publish course protocols openly so peer programs can adopt and adapt. That's the framework-to-action bridge: align the gradebook, timebook, and promotion file with the learning we say we value.

Take a first-year seminar redesign: participation 30% (with co-witness artifacts), practice journals 20%, synthesis essays 30%, oral demonstration 20%. The department commits to recognize instructors' protocol repositories in annual reviews, counting them alongside articles. After the term, the chair reviews artifacts with two colleagues to confirm the workload shifted from citation accumulation to direct encounter. These local moves create an identity mesh strong enough to hold new habits while we negotiate broader policy.

Keep signal discipline

Because even good structures drift, we need a metacognitive control layer that protects the signal of real learning from noise. Signal discipline means periodic checks that methods haven't hardened into slogans. Schedule brief “red team” cycles where students and faculty stress-test the course's own claims. Keep a context map of what the method can and can't say, so humility is designed in rather than hoped for.

In a capstone, week nine becomes a red-team week: a student team audits the journaling rubric and finds it biases verbal thinkers. The class amends the protocol to allow sketches or short audio clips as observational evidence, while keeping the same clarity standards. The method breathes, and learning stays live.

Practiced this way, reform keeps its trajectory vector pointed at depth without building a new dogma.

Structural incentives, respected differences, verifiable experience, and disciplined review are the four supports that turn the idea of a Living University from poetry into practice. Pick one course or program and run a six-week pilot using the micro-protocol above; publish the protocol and grading weights up front, and invite one peer outside your department to review the artifacts at the end.

Here's a thought…

Pick one course you teach or take. Identify what gets the highest grade weight versus what creates the deepest learning. Name the gap in one sentence.

About the author

John Deacon

Independent AI research and systems practitioner focused on semantic models of cognition and strategic logic. He developed the Core Alignment Model (CAM) and XEMATIX, a cognitive software framework designed to translate strategic reasoning into executable logic and structure. His work explores the intersection of language, design, and decision systems to support scalable alignment between human intent and digital execution.

Read more at bio.johndeacon.co.za

John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

Categories