Hendrick van der Kush

#EduSky

Great piece by @carlhendrick.substack.com on why we should treat instructional design more like an engineering problem than a "natural" process. The argument for "artificial" environments that bypass our natural cognitive limitations is a necessary reframing of the discovery learning debate.

The "Meaningful" Subjectivity
Ausubel distinguishes "meaningful learning" from "rote learning."
The line is blurrier than he suggests. Some rote tasks (like learning a base vocabulary or times tables) are essential scaffolds that eventually lead to meaningful insights.

Overlooking the Affective Domain
Ausubel focuses heavily on cognitive structures—how we process and store facts.
The theory largely ignores emotional and social aspects of learning (motivation, anxiety, peer collaboration). Learning isn't just data merge; it’s a human experience.

The Advance Organizer Problem
Advance Organizers are meant to bridge the gap between old and new info.
Research is mixed. They're notoriously difficult for teachers to design correctly. If an organizer is too vague or too complex, it actually increases cognitive load.

Is it too Teacher-Centric?
Ausubel championed "reception learning," arguing that teachers should present organized information.
This minimizes the student's role. In a world shifting toward inquiry-based + discovery learning, Ausubel’s model can feel overly passive and top-down.

The "Prior Knowledge" Paradox
Ausubel’s famous line: "The most important factor influencing learning is what the learner already knows."
This creates a barrier for novices. If a student lacks a solid foundation, ST offers little guidance on how to build knowledge from zero.

Hallo. Today a deep dive into David Ausubel’s Subsumption Theory 🧵