A Review on the analysis of Behavioral pattern of Students during pandemic COVID-19
ICRTEC 2023 - Proceedings: IEEE International Conference on Recent Trends in Electronics and Communication: Upcoming Technologies for Smart Systems
; 2023.
Artículo
en Inglés
| Scopus | ID: covidwho-20241751
ABSTRACT
The widespread of (covid-19) has become the major reason for many physical illnesses in addition to psychological encounters to the whole world. The psychological challenges brought in due to the Covid-19 pandemic have resulted in decrease in the learning curve of students to a very large extent risking the academic ability of students due to psychological/mental health. Hence it is a challenge to identify valid cues for disorientation in the learning ability of the student at the right time and to suggest necessary support and guidance. This paper aims to describe about the work done so far and analyzes the future challenges to be addressed based on the learning curve of a student and gives an insight of how a student can be identified to be psychologically disturbed. © 2023 IEEE.
Artificial Intelligence; Behavioral pattern; Emotional Health; Machine learning; online education; E-learning; Learning systems; Academic ability; Behavioral patterns; Future challenges; Learning abilities; Learning curves; Machine-learning; Mental health; On-line education; To a very large; Students
Texto completo:
Disponible
Colección:
Bases de datos de organismos internacionales
Base de datos:
Scopus
Tipo de estudio:
Estudio pronóstico
Idioma:
Inglés
Revista:
ICRTEC 2023 - Proceedings: IEEE International Conference on Recent Trends in Electronics and Communication: Upcoming Technologies for Smart Systems
Año:
2023
Tipo del documento:
Artículo
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