Intelligent Scoring Systems for Descriptive Answers-A Review

Abstract

Evaluation is one of the vital components in the teaching-learning process as it helps in periodically assess and modify the teaching activities according to the learner requirements. In case of descriptive answers, it is the most time consuming and error prone process. The proliferation of techniques in Deep learning and Natural language processing helps to automate the task of Evaluation, so that the evaluator can spend crucial time in improving the teaching learning process. In this paper, a review over various automatic short answer grading methods which includes the methods used for feature selection, the datasets used ,various text similarity methods applied, issues addressed has been explored. This survey helps in getting awareness on different approaches used for designing ASAG systems and also its drawbacks and enhancements required has been discovered.