{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T00:05:57Z","timestamp":1773792357237,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan","award":["AP09259657"],"award-info":[{"award-number":["AP09259657"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computation"],"abstract":"<jats:p>The demand for online education is gradually growing. Most universities and other institutions are faced with the fact that it is almost impossible to track how honestly test takers take exams remotely. In online formats, there are many simple opportunities that allow for cheating and using the use of outside help. Online proctoring based on artificial intelligence technologies in distance education is an effective technological solution to prevent academic dishonesty. This article explores the development and implementation of an online control proctoring system using artificial intelligence technology for conducting online exams. The article discusses the proctoring systems used in Kazakhstan, compares the functional features of the selected proctoring systems, and describes the architecture of Proctor SU. A prototype of the Proctor SU proctoring system has been developed. As a pilot program, the authors used this system during an online university exam and examined the results of the test. According to the author\u2019s examination, students have a positive attitude towards the use of Proctor SU online proctoring. The proposed proctor system includes features of face detection, face tracking, audio capture, and the active capture of system windows. Models CNN, R-CNN, and YOLOv3 were used in the development process. The YOLOv3 model processed images in real time at 45 frames per second, and CNN and R-CNN processed images in real time at 30 and 38 frames per second. The YOLOv3 model showed better results in terms of real-time face recognition. Therefore, the YOLOv3 model was implemented into the Proctor SU proctoring system.<\/jats:p>","DOI":"10.3390\/computation11060120","type":"journal-article","created":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T01:37:38Z","timestamp":1687225058000},"page":"120","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Research on the Development of a Proctoring System for Conducting Online Exams in Kazakhstan"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1245-8313","authenticated-orcid":false,"given":"Ardak","family":"Nurpeisova","sequence":"first","affiliation":[{"name":"Department of Information Systems, Faculty of Computer Systems and Professional Education, S. Seifullin Kazakh Agro Technical University, Nur-Sultan 010000, Kazakhstan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3164-3688","authenticated-orcid":false,"given":"Anargul","family":"Shaushenova","sequence":"additional","affiliation":[{"name":"Department of Information Systems, Faculty of Computer Systems and Professional Education, S. Seifullin Kazakh Agro Technical University, Nur-Sultan 010000, Kazakhstan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9912-5978","authenticated-orcid":false,"given":"Zhazira","family":"Mutalova","sequence":"additional","affiliation":[{"name":"Institute of Economics, Information Technologies and Professional Education, Higher School of Information Technologies, Zhangir Khan West Kazakhstan Agrarian Technical University, Uralsk 090000, Kazakhstan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0698-666X","authenticated-orcid":false,"given":"Maral","family":"Ongarbayeva","sequence":"additional","affiliation":[{"name":"Department of Information-Communication Technology, Faculty of Natural Sciences, International Taraz Innovative Institute, Taraz 080000, Kazakhstan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3433-9841","authenticated-orcid":false,"given":"Shakizada","family":"Niyazbekova","sequence":"additional","affiliation":[{"name":"Department of Banking and Monetary Regulation, Financial University under the Government of the Russian Federation, Moscow 125993, Russia"},{"name":"Research and Education Center \u2018Sustainable Development\u2019, Moscow Witte University, Moscow 115432, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2010-1488","authenticated-orcid":false,"given":"Anargul","family":"Bekenova","sequence":"additional","affiliation":[{"name":"Institute of Economics, Information Technologies and Professional Education, Higher School of Information Technologies, Zhangir Khan West Kazakhstan Agrarian Technical University, Uralsk 090000, Kazakhstan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1353-2677","authenticated-orcid":false,"given":"Lyazzat","family":"Zhumaliyeva","sequence":"additional","affiliation":[{"name":"Department of Mathematics in Education, M.Kh. Dulaty Regional University, Taraz 080000, Kazakhstan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8210-5022","authenticated-orcid":false,"given":"Samal","family":"Zhumasseitova","sequence":"additional","affiliation":[{"name":"Department of Information Systems, Faculty of Computer Systems and Professional Education, S. Seifullin Kazakh Agro Technical University, Nur-Sultan 010000, Kazakhstan"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,19]]},"reference":[{"key":"ref_1","first-page":"209","article-title":"Modeling of Microbial Communities of Plant Organisms in Aquatic Ecosystem","volume":"17","author":"Abakumov","year":"2014","journal-title":"Information"},{"key":"ref_2","first-page":"42","article-title":"Implementation of Machine Learning Models to Determine the Appropriate Model for Protein Function Prediction","volume":"5","author":"Golenko","year":"2022","journal-title":"East. Eur. J. Enterp. Technol."},{"key":"ref_3","first-page":"69","article-title":"Technologies of information monitoring biogens lakes of Kazakhstan. News of the National Academy of Sciences of the Republic of Kazakhstan","volume":"4","author":"Ismailova","year":"2018","journal-title":"Ser. Geol. Technol. Sci."},{"key":"ref_4","first-page":"146","article-title":"Examining the effect of proctoring on online test scores","volume":"21","author":"Alessio","year":"2017","journal-title":"Online Leasrning"},{"key":"ref_5","unstructured":"Landis, L. (2022, April 07). Online AP Exams: Will Students Cheat?. Available online: https:\/\/supertutortv.com\/ap-tests\/online-ap-exams-will-students-cheat\/."},{"key":"ref_6","unstructured":"Schermele, Z. (2022, April 07). 2020 AP Exams and Cheating: What Students Are Saying. Available online: https:\/\/www.teenvogue.com\/story\/2020-ap-exams-cheating."},{"key":"ref_7","first-page":"1","article-title":"Academic dishonesty and testing: How student beliefs and test settings impact decisions to cheat","volume":"4","author":"Dyer","year":"2020","journal-title":"J. Natl. Coll. Test."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1108\/S1085-462220160000018002","article-title":"Remote Proctoring: The Effect of Proctoring on Grades","volume":"18","author":"Davis","year":"2016","journal-title":"Adv. Account. Educ. Teach. Curric. Innov."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1773","DOI":"10.1007\/s40670-021-01420-w","article-title":"Medical Students\u2019 Perspectives on Online Proctoring During Remote Digital Progress Test","volume":"31","author":"Meulmeester","year":"2021","journal-title":"Med. Sci. Educ."},{"key":"ref_10","unstructured":"Cao, M. (2022, February 05). 2021 Gaokao Examination\u2019s Results of Shandong Province Will Be Announced before June 26 and 52 People Have Been Investigated and Dealt with in Violation of Discipline and Cheating This Year. Available online: https:\/\/baijiahao.baidu.com\/s?id=1702327877065066929."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Li, H., Xu, M., Wang, Y., Wei, H., and Qu, H. (2021, January 8\u201313). A Visual Analytics Approach to Facilitate the Proctoring of Online Exams. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan.","DOI":"10.1145\/3411764.3445294"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"121","DOI":"10.2308\/JETA-2020-040","article-title":"Accountability in Distance Learning: The Effect of Remote Proctoring on Performance in Online Accounting Courses","volume":"19","author":"Akaaboune","year":"2022","journal-title":"J. Emerg. Technol. Account."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Baume, M. (2019, January 11\u201313). Online Proctored Exams: Where and How are They Used? Basics, Practical Scenarios and Technical Solutions for Online Proctoring at European Universities and Educational Institutions. Proceedings of the13th International Technology, Education and Development Conference (INTED 2019), Valencia, Spain.","DOI":"10.21125\/inted.2019.1301"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1589","DOI":"10.1111\/jcal.12713","article-title":"In the nexus of integrity and surveillance: Proctoring (re)considered","volume":"38","author":"Khalil","year":"2022","journal-title":"J. Comput. Assist. Learn."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Raj, R.S.V., Narayanan, S.A., and Bijlani, K. (2015, January 6\u20139). Heuristic-Based Automatic Online Proctoring System. Proceedings of the2015 IEEE 15th International Conference on Advanced Learning Technologies, Hualien, Taiwan.","DOI":"10.1109\/ICALT.2015.127"},{"key":"ref_16","first-page":"876","article-title":"ProctorEx: An Automated Online Exam Proctoring System","volume":"71","author":"Kasinathan","year":"2022","journal-title":"Math. Stat. Eng. Appl."},{"key":"ref_17","unstructured":"Gadekar, A., Shreya, O., Revadekar, A., and Nimkar, A.V. (2021). Machine Learning and Big Data Analytics, Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021, Patna, India, 29\u201330 March 2021, Springer."},{"key":"ref_18","unstructured":"Yaqub, W., Mohanty, M., and Suleiman, B. (2021). Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring. arXiv."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"466","DOI":"10.22214\/ijraset.2022.42229","article-title":"Exam Proctoring System","volume":"10","author":"Thombare","year":"2022","journal-title":"Int. J. Res. Appl. Sci. Eng. Technol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.1109\/TMM.2017.2656064","article-title":"Automated Online Exam Proctoring","volume":"19","author":"Atoum","year":"2017","journal-title":"IEEE Trans. Multimed."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Nurpeisova, A., Shaushenova, A., Mutalova, Z., Zulpykhar, Z., Ongarbayeva, M., Niyazbekova, S., Semenov, A., and Maisigova, L. (2022). The Study of Mathematical Models and Algorithms for Face Recognition in Images Using Python in Proctoring System. Computation, 10.","DOI":"10.3390\/computation10080136"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Li, M., Zhang, Z., Lei, L., Wang, X., and Guo, X. (2020). Agricultural greenhouses detection in high-resolution satellite images based on convolutional neural networks: Comparison of Faster R-CNN, YOLOv3 and SSD. Sensors, 20.","DOI":"10.3390\/s20174938"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Prathish, S., Narayanan, S.A., and Bijlani, K. (2016, January 12\u201313). An Intelligent System For Online Exam Monitoring. Proceedings of the 2016 International Conference on Information Science (ICIS), Kochi, India.","DOI":"10.1109\/INFOSCI.2016.7845315"},{"key":"ref_24","unstructured":"Zhang, M.Z., Zhang, M.M., Chang, Y., Esche, D.S.K., and Chassapis, D.C. (2016, January 26\u201329). A Virtual Laboratory System with Biometric Authentication and Remote Proctoring Based on Facial Recognition. Proceedings of the 123rd ASEE Annual Conference and Exposition, New Orleans, LA, USA."},{"key":"ref_25","unstructured":"Burgess, B., Ginsberg, A., Felten, W., and Cohney, S. (2022, January 10\u201312). Watching the watchers: Bias and vulnerability in remote proctoring software. Proceedings of the 31st USENIX Security Symposium, Boston, MA, USA."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1080\/09662839.2022.2101887","article-title":"Digital\/sovereignty and European security integration: An introduction","volume":"31","author":"Bellanova","year":"2022","journal-title":"Eur. Secur."},{"key":"ref_27","first-page":"737","article-title":"Information Security in Educational Environment","volume":"Volume 390","author":"Tsareva","year":"2022","journal-title":"Mobility for Smart Cities And Regional Development\u2014Challenges For Higher Education, Proceedings of the 24th International Conference on Interactive Collaborative Learning (ICL2021), Dresden, Germany, 22\u201324 September 2021"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Li, X., Chang, K.M., Yuan, Y., and Hauptmann, A. (2015, January 14\u201318). Massive open online proctor: Protecting the credibility of MOOCs Certificates. Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015, Vancouver, BC, Canada.","DOI":"10.1145\/2675133.2675245"},{"key":"ref_29","unstructured":"Redmon, J., and Farhadi, A. (2018). YOLOv3: An Incremental Improvement. arXiv, Available online: https:\/\/pjreddie.com\/media\/files\/papers\/YOLOv3.pdf."},{"key":"ref_30","unstructured":"(2023, June 18). Faster R-CNN vs YOLO vs SSD\u2014Object Detection Algorithms. Available online: https:\/\/medium.com\/ibm-data-ai\/faster-r-cnn-vs-yolo-vs-ssd-object-detection-algorithms-18badb0e02dc."},{"key":"ref_31","unstructured":"Glenn-Jocher (2023, June 18). YOLOv5 Focus() Layer #3181. In Ultralytics. Github. Available online: https:\/\/github.com\/ultralytics\/yolov5\/discussions\/3181m1."},{"key":"ref_32","unstructured":"Kundu, R. (2023, June 18). YOLO: Algorithm for Object Detection Explained [+Examples]. Available online: https:\/\/www.vilabs.com\/blog\/yolo-object-detection."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Nepal, U., and Eslamiat, H. (2022). Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs. Sensors, 22.","DOI":"10.3390\/s22020464"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"6421","DOI":"10.1007\/s10639-021-10597-x","article-title":"A Systematic Review on AI-based Proctoring Systems: Past, Present and Future","volume":"26","author":"Nigam","year":"2021","journal-title":"Educ. Inf. Technol."},{"key":"ref_35","unstructured":"Redmon, J., and Farhadi, A. (2023, June 18). YOLO: Real-Time Object Detection. Available online: https:\/\/pjreddie.com\/darknet\/yolo\/."}],"container-title":["Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-3197\/11\/6\/120\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:56:30Z","timestamp":1760126190000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-3197\/11\/6\/120"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,19]]},"references-count":35,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2023,6]]}},"alternative-id":["computation11060120"],"URL":"https:\/\/doi.org\/10.3390\/computation11060120","relation":{},"ISSN":["2079-3197"],"issn-type":[{"value":"2079-3197","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,19]]}}}