A DEEP LEARNING MODEL FOR EDUCATION ANALYTICS – A SHORT REVIEW
DOI:
https://doi.org/10.58973/CTRJ.221114Keywords:
Educational Technology, Machine Learning,, Deep Learning, Smart Education, Smart Learning, Learning AnalyticsAbstract
Background: Integrating deep learning with learning management systems can yield intelligent course material and high accuracy without manual intervention, but the factors that influence deep learning in education are not well organized.
Objective: This paper reviews the factors that influence deep learning in education and aims to achieve deep learning at scale in the smart education system through a deep learning model for prediction.
Methods: The review examines the components of smart education (learning environment, learning analytics, and education model) and maps a deep learning architecture, from data ingestion through deployment, onto the smart-education pipeline.
Results: A deep learning model with input, hidden, and output layers is proposed for smart education analytics, spanning data sources such as libraries, health, security, and attendance systems.
Conclusion: The proposed model can reduce development and maintenance costs, reduce risk, and facilitate communication between stakeholders, while several data, cost, and privacy challenges remain to be addressed.
Keywords: Educational Technology, Machine Learning, Deep Learning, Smart Education, Smart Learning, Learning Analytics.
HIGHLIGHTS:
1. The current review focus on deep learning as an important tool for Indian teachers.
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