Automated Reading Detection in an Online Exam


  • Bakhitzhan Kadyrov Suleyman Demirel University
  • Shirali Kadyrov Suleyman Demir University
  • Alfira Makhmutova Suleyman Demirel University



exam proctoring, reading detection, video recognition, computer vision, deep learning


In this article, we study the deep learning-based reading detection problem in an online exam proctoring. Pandemia-related restrictions and lockdowns led many educational institutions to go to online learning environments. It brought the exam integrity challenge to an online test-taking process. While various commercial exam proctoring solutions were developed, the online proctoring challenge is far from being fully addressed. This article is devoted to making a contribution to the exam proctoring system by proposing an automated test-taker reading detection method. To this end, we obtain our own dataset of short video clips that resemble a real online examination environment and different video augmentation methods utilized to increase the training dataset. Two different deep learning techniques are adapted for training. The experiments show quite satisfactory results with model accuracy varying from 98.46% to 100%. The findings of the article can help educational institutions to improve their online exam proctoring solutions, especially in language speaking tests.

Author Biographies

Bakhitzhan Kadyrov, Suleyman Demirel University

Bakhitzhan Kadyrov is a senior PhD student at Suleyman Demirel University, Faculty of Engineering and Natural Sciences, Department of Computer Sciences in Kaskelen, Kazakhstan. His research interests are exam proctoring systems, data science, web development

Shirali Kadyrov, Suleyman Demir University

Shirali Kadyrov is a Professor at Suleyman Demirel University, Faculty of Engineering and Natural Sciences, Department of Mathematics and Natural Sciences in Kaskelen, Kazakhstan. He obtained his PhD in 2010 from the Ohio State University, Columbus, USA. His research interests are dynamical systems, mathematics education, and data science.

Alfira Makhmutova, Suleyman Demirel University

Alfira Makhmutova is a Senior Instructor at Suleyman Demirel University, Faculty of Education and Humanities, Kaskelen, Kazakhstan. She obtained her PhD in 2022 from Nazarbayev University, Nursultan, Kazakhstan.  Her research interests are education, language maintenance




How to Cite

Kadyrov, B., Kadyrov, S., & Makhmutova, A. (2022). Automated Reading Detection in an Online Exam. International Journal of Emerging Technologies in Learning (iJET), 17(22), pp. 4–19.