Continuous user identification in distance learning: a recent technology perspective

Abstract

The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the COVID-19 global pandemic has raised several concerns about the credibility of online academic activities, especially regarding student identity management. Traditional online frameworks cannot guarantee the authenticity of the enrolled student, which requires instructors to manually verify their identities, a time-consuming task that compromises academic quality. This article presents a comprehensive review of existing efforts around continuous user identification, focusing on intelligent proctoring systems and automatic identification methods, as well as their applicability in this domain. We conclude that there is a clear need for continuous user identification technology by HEIs, but existing systems lack agile system integration models that combine many inputs, such as face, voice and behavioural data in a practical manner, and encounter numerous barriers related to data protection during implementation.

Formation of an Original Database and Development of Innovative Deep Learning Algorithms for Detecting Face Impersonation in Online Exams

“…It is conceivable that some participants fraudulently substitute for others by using their personal information to take the assessment on their behalf [2] [3]. Facial recognition plays a crucial role in this system [4]. When using Deep Learning algorithms, discrimination or inaccuracies may occur due to algorithm error rates or biases [5].…”

Innovative Pedagogical Strategies for Effective Digitalization of Education in the Universities

“…To be precise, new concepts and terms such as part-time/full-time study, distance learning, online education, short-term study, etc. appeared in the education system as a result of digital capabilities advances most especially during and post-COVID era (Portugal et al, 2023;Bergene et al, 2023;Grynyuk et al, 2022;Slykerman et al, 2022;Alismail 2023). These terms seem to gain rapid popularity in mass use.…”