![]() ![]() A student is given a 4.0 if they’re at the top of their class, and a 1.0 if they’re struggling to apply concepts learned in class. We also gauge student progress throughout the course and take note of individual progress using an internal normalized stack ranking. ![]() As part of the screening, we have prospective students take a basic algebra test. We’ve been running a hands-on coding Bootcamp that jump-starts students’ careers as computer programmers specifically for web application development. A simpler approach to predicting aptitude At this point, there seems to be no silver bullet for predicting one’s aptitude for early programming success. Our impression is that research in this field has slowed. Or worse, when they do find something that’s predictive of programming aptitude, the techniques appeared to be so complicated that other researchers are unable to replicate their results at another university. Most of these studies have found little to no predictive power in the variables they looked at. How students approach problem-solving tasks.Demographic variables (gender, age, race, etc.), high school GPA, SAT scores.In that time, they’ve looked at dozens of possible predictors of programming aptitude, including: So here is the ultimate question- Can a simple algebra test predict programming aptitude? What sets apart these computer programming can and can-nots?Įducation researchers have been looking for the answer to that question for well over five decades. Despite hours of studying and tutoring, most of these underperforming students struggle with, and many ultimately give up on, programming as a career. Can a Simple Algebra Test Predict Programming Aptitude?Įvery year since the establishment of Computer Science in the 1960s, 30-60% of CS college majors have failed their Introduction to Computer Science course because they simply could not learn to program. ![]()
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