Delay Assessment Framework for Automated Question-Answering System: An Approach for eLearning Paradigm

Abstract

Adoption of Electronic Learning (eLearning) for the dissemination of higher education is rapidly increasing day by day. A large number of universities offering hundreds of course and a large number of the students are taking advantage from this type of learning paradigm. The purpose of this study is to investigate the delay factor in answering the students’ questions. The tutoring of the students will be very effective if the student’s queries are responded well in time. The student questions are replied by the instructors using online Learning Management Systems (LMS). These queries are often delayed too long that students have to wait, and their learning is also disturbed. The participants are selected by random sampling method. Total queries are 3434, which are analyzed, and delay is calculated by using a proposed algorithm. The clusters of the student’s questions and patterns are recognized. The automated correction of the student questions by the help of the vocabulary or dictionary APIs. The Application Programmable Interface (APIs) will speed up the question answering of the student queries. The gap in the science educational literature, the constructivist in the eLearning environment, students’ motivation, self-efficacy and anxiety in science subject assessment effect the learning curve of the students negatively or positively.