Research Article
Algorithmic approach for automating attendance authentication in online classes
@INPROCEEDINGS{10.4108/eai.16-12-2022.2326170, author={Akanksha Upadhyaya and Sonali Vyas}, title={Algorithmic approach for automating attendance authentication in online classes}, proceedings={Proceedings of the International Conference on Application of AI and Statistical Decision Making for the Business World, ICASDMBW 2022, 16-17 December 2022, Rukmini Devi Institute of Advanced Studies, Delhi, India}, publisher={EAI}, proceedings_a={ICASDMBW}, year={2023}, month={2}, keywords={attendance online classes online education online meeting tools authentication educational institutes}, doi={10.4108/eai.16-12-2022.2326170} }- Akanksha Upadhyaya
Sonali Vyas
Year: 2023
Algorithmic approach for automating attendance authentication in online classes
ICASDMBW
EAI
DOI: 10.4108/eai.16-12-2022.2326170
Abstract
The requirement for online attendance as well as validating a student's actual presence during the class became a difficult problem as a direct result of the increase in the prevalence of online education, particularly as a consequence of the COVID 19 epidemic. The method of taking attendance at educational institutions is still the same, whether it's done physically or online. As a result, the primary focus of this work is on the development of a mechanism for verifying the presence of students participating in online classrooms. The problem has been approached from an algorithmic standpoint in order to suggest a solution to it. The algorithm has been suggested after taking into consideration a number of important criteria, such as the entry and exit timings, the total number of minutes of presence, and the number of times that a student exits the class. The method is an attempt to offer a simplified version of the authentication system for use in online classes. These classes are typically held utilizing online platforms like Google Meet, Zoom, or Microsoft Teams, amongst others. The educational institutions will be able to eliminate the need for manual attendance recording and verify the students' participation in the online class if the proposed algorithm is put into action.
