The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-4/W5-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W5-2021, 235–238, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-235-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W5-2021, 235–238, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-235-2021

  23 Dec 2021

23 Dec 2021

ARTIFICIAL LEARNING-BASED PROCTORING SOLUTION FOR REMOTE ONLINE ASSESSMENTS: “VPROCTOR”

C. Guney1, O. Akinci2, and K. Çamoğlu2 C. Guney et al.
  • 1Istanbul Technical University, Faculty of Civil Engineering, Department of Geomatics Engineering, 34469, Istanbul, Turkey
  • 2Opthema Teknoloji, 34485, Istanbul, Turkey

Keywords: Online Examination, Online Learning, Remote Online Proctoring, Online Digital Exam Proctoring, Online Proctoring Systems, Face Detection, Speech Detection

Abstract. Technological developments have paved the way for courses, trainings and assessments to be made online remotely in education and employment. In the meantime, over the years, the demand for online distance learning has increased rapidly. Eventually, it has been seen that this is a necessity and it has become widespread during the COVID-19 pandemic period. As can be seen in the example of massive online open courses, although remote learning is carried out online, perhaps the most important problem is how to evaluate the relevant courses safely and reliably. Thus, remote online proctoring is becoming an increasingly popular and needed issue. In this study, the issue of conducting the examination remotely online via internet-connected video and audio communication will be evaluated. Furthermore, the solution called vProctor was developed to contribute to the elimination of deficiencies in remote online proctoring using artificial learning. Overall, it has been observed that the proposed solution is managed to determine inappropriate behaviors like cheating in the online assessments.