'AI-Teacher' Assistant System: A Smart Attendance and Participation tracking system for students

Document Type

Conference Proceeding

Source of Publication

2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023

Publication Date

1-1-2023

Abstract

Students and teachers are connected in an orderly way to attain learning outcomes, which is the foundation of attendance systems. Academic institutions, however, encounter poor strategies for these parties' participation. In order to address the low attendance and participation among students and faculty in a university community, a university-wide 'AI-Teacher' system will be built in one of the educational institutions in the Gulf region. The system was prepared for by planning, gathering, modelling, and analyzing the requirements, designing the interfaces and databases, and then coding and testing. The AI-Teacher assistant system is approachable and simple to use. A warning is sent to parents after a student misses a predetermined number of classes, along with an automatic or manual attendance record, alerts, and notifications. Also, the application system, 'AI-Teacher' which works with iOS and Android devices, can improve connections between "students and instructor". The study concluded with some recommendations for further research and development.

ISBN

9798350302523

Publisher

IEEE

Disciplines

Computer Sciences

Keywords

AI system, Attendance, Facial recognition, Performance recognition, students, teachers

Scopus ID

85170651069

Indexed in Scopus

yes

Open Access

no

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