QPSetter: An Artificial Intelligence-Based Web Enabled, Personalized Service Application for Educators

Abstract

Setting a question paper is an integral activity of a teaching-learning process, it is more so in formal education systems such as schools, colleges and Universities. At times, it becomes a tricky and annoying act for the tutor to divert oneself from main stream teaching and spend time thinking about setting a question paper on the intended topic. This paper presents an Artificial Intelligence powered, web enabled, personalized service application for the educators to automatically set up a question paper on the selected topic/syllabus. The application allows the setter to choose the type of the questions, type of headers, number of allotted marks etc. and in a click of a button the question paper is displayed in the desired format. The application silently scrapes the relevant web content in the background and creates a database of questions with topics, weights, and levels of difficulty. The application also allows the user to enter the questions manually and integrates them into the database. The application has an answer database module to couple the correct answers with the questions. The AI component of the application works on text mining and content classification. It also assists in suggesting questions on the supplied text content. The application allows the user to have a simple login and explore the QPSetter for the personal usage. This application is useful for all levels of tutors who want to automatically set the question papers. It helps in preserving, confidentiality, integrity of the question papers along with helping in a quick time question paper setting.