Leveraging an Artificial Intelligence Online Proctoring System to Monitor Online Examinations in Higher Education (75697)

Session Information: Curriculum Design & Development
Session Chair: Lijueraj Cuadra

Friday, 24 November 2023 14:05
Session: Session 3
Room: Room 704
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

The purpose of the study was to investigate the effectiveness of an artificial intelligence online proctoring system to monitor online examinations and maintain academic integrity among academics and students in higher education. This study was motivated by the literature's concerns that academic integrity is still an ongoing problem in higher education. There are still a lot of security and usability issues with the proctoring tools that require further research. Furthermore, the opinions of academics and students on online assessment proctoring services were not being fully investigated. Due to these concerns and the changes brought about by COVID-19 pandemic, this is the body of knowledge to which this study intends to contribute and fill the gap. Participants in this study were 106 academics and 592 students from the University of Technology in South Africa. A mixed-methods study was carried out using both closed-ended and open-ended questionnaires. The frequency distribution in SPSS was used to analyse quantitative data. Thematic data analysis using Atlas.ti was used to analysed qualitative data. The results revealed that 80.1% of the students took the online examinations or tests on the learning management system using the proctoring tool. Some of the academics revealed that the proctoring tool was good; however, it did not stop students from cheating. The move toward authentic assessments in higher education should be made to encourage the development of 21st-century skills required by future graduates to thrive in the present, digitally driven economy.

Authors:
Sibongile Simelane-Mnisi, Tshwane University of Technology, South Africa


About the Presenter(s)
Dr Sibongile Simelane-Mnisi is a University Postdoctoral Fellow or Instructor at Tshwane University of Technology in South Africa

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00