In recent times, there is a surge of job opportunities in the IT industry leading to increased skill improvement platforms for computer programming. While the problem setter may provide an indicative difficulty level, the actual level of difficulty faced is subjective to who is attempting the problem. Research indicates that right choice of problems to solve on a learning track boosts the motivation levels of the student and helps in better learning. In this paper we provide a framework to auto classify programming problems on online coding practice platforms into easy, medium, and hard based on attempt statistics for each problem.
CITATION STYLE
Vamsi, S., Balamurali, V., Teja, K. S., & Mallela, P. (2020). Classifying Difficulty Levels of Programming Questions on HackerRank. In Learning and Analytics in Intelligent Systems (Vol. 3, pp. 301–308). Springer Nature. https://doi.org/10.1007/978-3-030-24322-7_39
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