Reducing Study Time by 2 Hours with Smart Guides

How NLP and Predictive Analysis Can Help Retain + Perform on Exams

Students spend 4–5 hours each day, studying. Teachers spend 2–3 hour each day, preparing for class.

It’s obvious that these aren’t positive numbers. Both processes are highly ineffective and for students, most of their studying isn’t done correctly.

In the cost-benefit analysis of what students should focus on, they’ve chosen to prioritize passing over learning. The 4–5 hours/day spent studying will eventually result in sunk time as they’ll forget 95% of what they learn 3 days after the exam. And, in the 4–5 hour period, students spend the early parts of it are spent predicting the probability of what’s going to be on the test, how much the information matters.

School is a terrible game. We’ve seen a wave of people begin prioritizing their grade point average over other factors because it’s incentivized. Are universities looking at retention rates and what a student has learned post-high school?

No.

They want to know how each student scored in a class and how those numbers might contribute to their incoming class.

While we can acknowledge that different parts of the system need disruption and are on the brink of it; I think tools that help students retain information, practice problems that are interesting to them, and predict what’s going to be on the test makes more…