An Automatic Evaluation of the Programming Solution Submitted by the Learner for Suggesting the Appropriate Next Programming Task

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Kapil Shukla, Parag Shukla

Abstract

Online coding platforms have been available for learning programming topics or completing courses. Learner needs to submit solution of provided task after checking all test cases. Some Institutes and programming teachers are either hosting their own open-source coding platform or using an online coding platform for teaching programming subjects. It is required to have the information in the form of automatic feedback obtained from their submission’s evaluation about how the learners are performing in programming topics. Our work introduces a model that aims to automate the process of suggesting a sequence of coding tasks for the learners to complete programming courses according to the knowledge and skill possessed by the learner. Additionally, this model provides a means for evaluating the performance of each learner in different topics covered by the course instructor. By utilizing this model, course instructors can obtain valuable insights into each learner's performance in specific course topics.

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