Autonomous Educational Testing System Using Unsupervised Feature Learning

Anwaya Aras, Shree Ranjani, Jannat Talwar, Mangesh Bedekar
2013 International Journal on Integrating Technology in Education  
With the increase of ubiquitous data all over the internet, intelligent classroom systems that integrate traditional learning techniques with modern e-learning tools have become quite popular and necessary today. Although a substantial amount of work has been done in the field of e-learning, specifically in automation of objective question and answer evaluation, personalized learning, adaptive evaluation systems, the field of qualitative analysis of a student's subjective paragraph answers
more » ... ns unexplored to a large extent. The traditional board, chalk, talk based classroom scenario involves a teacher setting question papers based on the concepts taught, checks the answers written by students manually and thus evaluates the students' performance. However, setting question papers remains a time consuming process with the teacher having to bother about question quality, level of difficulty and redundancy. In addition the process of manually correcting students' answers is a cumbersome and tedious task especially where the class size is large. In this paper, we put forth the design, analysis and implementation details along with some experimental outputs to build a system that integrates all the above mentioned tasks with minimal teacher involvement that not only automates the traditional classroom scenario but also overcomes its inherent shortcomings and fallacies.
doi:10.5121/ijite.2013.2304 fatcat:zwpgarfrmrhxffo465robw2xq4