Abstract—In this research image based Fast Feedback (FF) systems are presented, that use image processing and computer vision techniques. The goal of this work is to provide tools for automatic checking and grading of multiple choice questions in quizzes and exams for academic evaluation of students. These tools can be also used to monitor the level of students’ understanding of the material and to receive feedback from them about the quality of the lessons during courses in academic institutions. First possible FF setups and processing methods for multiple choice questions are discussed. Then results of experiments with this type of questions are presented.

 

Index Terms—automatic tools for academic evaluation, fast feedback systems, image based, image processing, pattern recognition

Cite: E. Gershikov and S. Kosolapov, "On Image Based Fast Feedback Systems for Academic Evaluation," International Journal of Signal Processing Systems, Vol. 3, No. 1, pp. 19-24, June 2015. doi: 10.12720/ijsps.3.1.19-24