Developing a Virtual Smart Total Learning Environment for Future Teaching-Learning System

被引:2
|
作者
Akour, Mohammad Ali [1 ]
Das, Anupam [2 ]
机构
[1] ASharqiyah Univ, Ibra, Oman
[2] Cotton Univ, Gauhati, Assam, India
关键词
smart; virtual; learning-environment; machine learning; big data; adaptive learning;
D O I
10.1109/TALE48869.2020.9368373
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The world of education system after this COVID-19 pandemic will have to change its dimension to map the needs of learners. The proposed framework is focused on transforming the learning experience into two possible ways like online and on-campus learning through groundbreaking & agile methodologies. The new interfaces for learners will be included like Gamification, animated tutorial etc. The framework designed here is the outcome of the e-learning experiences of the authors and it tries to add all relevant technologies with cutting-edge research to provide inspirational and transformative knowledge to learners of all ages, social status, communities who form worldwide communities of special-learners. It will rise to the occasion to use its open source technology along with the emerged technologies like IoT, 5G etc, to transcend physical and social borders. This framework is a total learning environment as it will incorporate all possible latest technologies like big data and machine learning. The e-learning system possesses features like personalized e-learning, anomaly detection, student performance monitoring, dynamic content preparations, students' satisfaction monitoring etc. The new framework will include big data, cloud applications, machine learning and artificial intelligence to make the system faster, efficient and smart. The new features will make the e-learning system based on Virtual Smart Total Learning Environment (VSTLE) more technologically sound and efficient in processing, predicting, evaluating and making storage backup. This framework is designed in such a way that the minimum human intervention will be needed for its functioning. As a result, the final output will be more accurate as compared to other e-learning systems available.
引用
收藏
页码:576 / 579
页数:4
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