Mastery-based Learning

Mastery-based learning is based around a very simple idea: when dealing with cumulative subjects (like Math, where past knowledge is essential to understanding what’s next) a student should only move forward with the subject once they’ve mastered all concepts that precede it.

One-on-one Mastery-Based learning was actually the standard for a long time — in a Master-Disciple relationship, students would spend years learning until they were ready to create a Master Work, only then to be elevated to the rank of journeymen.

You would think this is how today’s education works, but it’s not. Students don’t require an A to pass a class, but rather a C — so if you know about 70% of a subject, you’re allowed to move forward — general knowledge, not mastery.

This might not seem bad at first, but it is. Grading is not a reliable metric for knowledge the way it’s handled today. There’s a distinct difference between actually understanding a subject and simply learning how to get through a series of tests (be it through memorizing formulas or copying another student’s work), which is what an alarming amount of students tend to do. Because of this unreliability, grades end up failing at their sole goal of giving students and schools the performance feedback they need, effectively making student’s needs invisible and unattended by the system they’re working around.

Knowledge is a tree, and all subjects are interconnected

The situation becomes more dire once you realize how essential mastery is for a proper education: if you fail to fully dominate fundamental concepts as a kid, things will seem inevitably harder to understand as you progress throughout the years and accumulate knowledge gaps. Cumulative subjects build on top of themselves, so if you don’t fully understand fractions, there’s no way you can learn geometry properly, and if you don’t understand Algebra, you can’t ever gain deep knowledge of Calculus. These correlations also branch off into different subjects as well — Physics assumes mastery in branches of Mathematics to be fully understood, and high-school Biology assumes basic understanding of Chemistry.

People are not ‘bad at math’ because they lack Math genes — it’s because they rush through the curriculum and never master the fundamentals. At one point, the subject feels impossibly arbitrary.

You can go as far to say that all knowledge is interconnected and cumulative in the grand scheme of things, which makes the consequences of said gaps even more unpredictable — they stealthily cascade difficulties into a number of subjects without making themselves known, leaving students disoriented, lacking confidence and with the false belief that they’re incapable of learning certain topics because of an innate ability to do so.

This is why so many people claim to be ‘bad at math”’— it is not because they lack math genes, but because they rushed through the earlier stages of math without fully understanding them. It is no wonder certain subjects can become so incomprehensible through the years — lack of understanding leads to lack of intuition, and lack of intuition leads to subjects seeming non-nonsensically arbitrary. The only way to survive the semester becomes memorization or doing what your teacher wants you to do, not learning what it all means. This is why there’s a high likelihood you know that pi is 3.14 — but you don’t know what pi actually represents.

Although it’s not taught as such, Mathematics can be a highly visual topic. | Image courtesy David Nerwen

Mastery-based learning can fix all of those issues — through a deeply personal and individualized approach (intersecting with what we talked about regarding personalized learning), students can move quickly through the subjects they’re better at, and dedicate the required time wherever they face complications. Ultimately, you’re only allowed to move forward when you truly master a subject, without feeling humiliated for taking your time. The end result is actual knowledge that can spread interconnect with other subjects in a number of unexpected ways, both creatively and intellectually — much more than a grade for a transcript.

Everything Wrong with Traditional Data Visualization and How VR is Poised to Fix It

The reasons we don’t do it today are similar to what we touched on before — implementing this widespread would require a lot of monetary and financial resources to pull off realistically — and it’s hard to imagine ways to measure knowledge without grades, tests and all the systems we’ve grown so used to, as faulty as they may be.

However, there are new ways to achieve this — but before we get to it, let’s talk about experiential learning.

Continued on Page 3: Experiential Learning »


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  • Interesting article, but until part 2 arrives, it is just a long list of problems. I’m waiting.

    P.S. If I’m not wrong, it’s an article you’ve already published on Medium a long time ago, isn’t it?

    • benz145

      Part 2 coming soon : ).

      Yes this is adapted from Lucas’ original Medium article.

  • Wednaud Ronelus

    Well, this was a great article. I am looking forward to part2. Keep in mind it’s easier said than done when it comes to teaching and learning. Trust me! I have been teaching STEM for the past two decades; I know what I am talking about. I am doing exactly what was discussed here in my STEM learning Environment. Here are a few of my projects, check them out.

  • AR is a new approach to learning and cognition (education). Here are several successful examples of successful projects that allow the use of AR in education

  • AR Toys

    The use of augmented reality devices in teaching is becoming more diverse every year. The simplest example is e-books and smartphone apps.But all benefits how to use of augmented reality in education –