Research Article
A Proposed Virtual Learning Model Based on Statistical Analysis of Educational Data of Egypt
@INPROCEEDINGS{10.1007/978-3-031-33614-0_7, author={Aliaa Kamal Abdella and Mai A. Elnady and Lamia Aladel and Heba M. Sabry}, title={A Proposed Virtual Learning Model Based on Statistical Analysis of Educational Data of Egypt}, proceedings={Big Data Technologies and Applications. 11th and 12th EAI International Conference, BDTA 2021 and BDTA 2022, Virtual Event, December 2021 and 2022, Proceedings}, proceedings_a={BDTA}, year={2023}, month={5}, keywords={Stages of Learning in Artificial Intelligence Correlation Virtual Learning Environment Education Data Analysis}, doi={10.1007/978-3-031-33614-0_7} }- Aliaa Kamal Abdella
Mai A. Elnady
Lamia Aladel
Heba M. Sabry
Year: 2023
A Proposed Virtual Learning Model Based on Statistical Analysis of Educational Data of Egypt
BDTA
Springer
DOI: 10.1007/978-3-031-33614-0_7
Abstract
Current political and research agendas all around the world place artificial intelligence (AI) high on the list. Although the foundations for AI have existed for a number of decades, recent advanced directions are accelerating what AI could do. One of these directions is education; those in charge of reforming education must consider the effects of an AI-driven future on education. However, various risks and issues are unavoidably brought on by these quick technological advancements; they have so far outrun policy discussions and regulatory structures. This paper seeks to identify the impact of AI on teaching, learning, and education, by analyzing educational data in Egypt. The data set was downloaded from the ministry of education website. It contained information such as the number of schools, the number of classes, and the number of students per class of the general education and al-Azhar education for primary, preparatory, and secondary stages. In addition, this data set contained information regarding the correlation between different factors. The finding of this research can inform the future design and implementation of the virtual learning model.
