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Dr. Proctor: A Multi-modal AI-Based Platform for Remote Proctoring in Education

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Artificial Intelligence in Education (AIED 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12749))

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Abstract

Technological advancements have enabled remote exams as a viable alternative to in-person proctoring. In light of the COVID-19 pandemic, educational institutions relied heavily on remote operation. The sudden shift exposed the weaknesses in available proctoring solutions, as pertains to fairness, economic viability, data privacy, network issues and usability. Moreover, whether they are equal in function to physical proctoring is questionable. Based on extensive research, we establish the system requirements and design for Dr. Proctor, a non-commercial solution that addresses many of the exposed concerns about remote proctoring.

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Notes

  1. 1.

    Details are out of scope of this paper and can be found here [31].

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Author information

Authors and Affiliations

  1. The American University in Cairo, Cairo, Egypt

    Mohammed R. Anany, Nourhan Sakr & Sherif G. Aly

  2. Data Science Hub, Cairo, Egypt

    Ahmed E. Elshafey & Amr S. Mohamed

Authors
  1. Ahmed E. Elshafey
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  2. Mohammed R. Anany
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  3. Amr S. Mohamed
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  4. Nourhan Sakr
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  5. Sherif G. Aly
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Corresponding author

Correspondence to Nourhan Sakr .

Editor information

Editors and Affiliations

  1. Technion – Israel Institute of Technology, Haifa, Israel

    Ido Roll

  2. Arizona State University, Tempe, AZ, USA

    Danielle McNamara

  3. Utrecht University, Utrecht, The Netherlands

    Sergey Sosnovsky

  4. London Knowledge Lab, London, UK

    Rose Luckin

  5. University of Leeds, Leeds, UK

    Vania Dimitrova

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Elshafey, A.E., Anany, M.R., Mohamed, A.S., Sakr, N., Aly, S.G. (2021). Dr. Proctor: A Multi-modal AI-Based Platform for Remote Proctoring in Education. In: Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science(), vol 12749. Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_26

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  • DOI: https://doi.org/10.1007/978-3-030-78270-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78269-6

  • Online ISBN: 978-3-030-78270-2

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