9th International Conference on ICT for Sustainable Development

Authors - Sherin Mariam George, Narendrasinh C Chauhan
Abstract - Around the globe, the assessment of subjective answer plays an important role in the education system. This assessment helps to evaluate the performance of a student to a certain extent. However, there are a few shortcomings to the conventional human evaluation method, which makes it less practical. The manual evaluation, though essential, is a bit tiresome and time consuming task. Currently we have a reliable system for automatically assessing objective answers. Over the years, researchers are putting their efforts on automatic assessment of descriptive answers. But this research is still at its infancy. In this research work, we demonstrate the use of natural language processing and machine learning techniques for the automatic subjective assessment. We demonstrate and compare semantic similarity measures. The available pre-trained deep learning models like sentence transformers are used in this research. Finally, we have developed regression models and demonstrated performance of the proposed approach.