Getting to the Root of the Issue

The primary issue in schools is a financial one. Labor productivity does not increase over time in future of education, which is not the case for most other human pursuits. A lecturer delivered his lesson to an audience in Oxford or Bologna a thousand years ago. A lecturer’s efficiency has remained the same over the past thousand years. This is an issue because labor productivity is increasing rapidly in virtually every other sector of the economy. More vehicles, clothes, and meals can be produced in the same amount of time. Food, clothing, and information have all improved, but not high-quality schooling.

However, we have a way to address this issue. Thanks to our discovery of open online classes, we can rapidly scale up the number of people with access to a high-quality education.

Hundreds of thousands, if not millions, of people worldwide, will benefit from the best teacher in history, the conditional Aristotle, because of open online classes. Such training would have a nominal price tag per participant. This is a true revolution that will enable us to educate many people at a high level within the next decade and a half.

Change from Receptive to Reactive Understanding

Scientists have studied learning for a long time, but they have yet to find very useful results. They did determine, however, that only engaged learning is successful. The issue with traditional school and university teaching methods is that they could be more active. A teacher’s tale or a lecture could be more effective methods of instruction. This is common knowledge, yet educational institutions must use the updated curriculum.

A fundamental shift is occurring now; the traditional lecture format is being phased out. Free and open internet education is only the beginning. (albeit primitive). In addition to video lectures and interactive tasks, there are forums where students can work together and discuss what they’ve learned and their perspectives.

The use of educational smartphone apps is becoming increasingly popular. The next step is virtual reality, which will allow us to watch interactive content like molecular diagrams, planetarium shows, 3D models of DNA, and so on. With the help of a smartphone, an app, or augmented reality glasses, we can superimpose a digital picture onto the physical world.

Statistics and Data Analysis

Data is the new gasoline is a phrase that many of you have probably heard. This is truer for education than for many other fields. The process of learning needs to be better understood. We don’t know why some individuals know some things and don’t know others, how they flip through a textbook, or how they study for tests. Moreover, we have yet to determine if they are in a classroom hall. (a person can look closely at a lecturer but think about something completely different).

As classrooms become more like virtual learning environments, we can track how many people viewed which lectures and for how long. We’ll find out precisely when people stopped paying attention in class so we can figure out what went wrong. Next, we can create an updated version of the same lesson, share it with the intended audience, and observe whether or not they pay closer attention to the new content.

However, this is only the beginning, as data gathering paves the way for the pinnacle of education: personalized instruction. What makes it so crucial?

The best learning environment can be designed once we have collected enough data to determine who learns what, who does not understand what, and why. An AI-enabled program can provide what users are missing, verify what they didn’t master the last time, and not waste time on material that users already know well. A program, or a combination of a program and a person, will keep a student’s interest high and help him progress comfortably for that student (slow or fast learning).