Jul 23, 2021 · The aim of this article is to research the key characteristics of the smart education system, prepare some requirements for its main components, and develop a ...
Oct 12, 2024 · The aim of this article is to research the key characteristics of the smart education system, prepare some requirements for its main ...
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Mar 3, 2022 · This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students.
Jul 25, 2023 · This paper proposes a new method based on text extraction techniques for predicting student outcomes using cognitive computation.
to develop the smart education system. Data mining techniques are used to collect educational data, analyze them, visualize it and make it in presentable ...
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Sep 5, 2024 · SPA is a system that evaluates students' knowledge and skill attainment in a specific course by measuring their achievements of the Course Learning Outcomes ( ...
In this paper, a web-based system for predicting academic performance and identifying students at risk of failure through academic and demographic factors is ...
Feb 15, 2023 · In this post we look at what smart education systems are, how they work and what to consider when designing them, using ProFuturo's example.
This study focuses on the STS recommendation model for the slow learner group to identify required learning from various online resources.
Sep 5, 2024 · This approach is particularly useful for analyzing student progress, engagement, and other behavioral patterns to support personalized education ...