A Lecture-Slide Centric Automated Distractor Generation for Post-Graduate Software Engineering Courses

Abstract

Critical circumstances, natural disasters or pandemics like COVID 19 gave rise to the wide applicability of E-learning into education system. To utilize the inevitable benefits proposed by E-learning, an efficient and fair online assessment execution poses a great challenge. In order to make it efficient, the trend of assessment has shifted from the subjective type to the objective type assessments which is mainly based on Multiple Choice Questions (MCQ), generation of which is a tedious, tiresome and time consuming task. To cater to this dire need, this study proposes an automated Multiple Choice Question (MCQ) generation by utilizing state of the art transformer and sense2vec based model. The study based its question generation task on T5 and its distractor generation task on Sense2vec. It also presented software engineering domain specific lecture text based test examples for performing evaluation on the task of software engineering domain specific MCQ generation.