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An Ontological Model to Predict Dropout Students Using Machine Learning Techniques

An Ontological Model to Predict Dropout Students Using Machine Learning Techniques

Abstract E-learning systems become more popular than it has ever been. However the popularity of e-learning systems, still suffer from some problems related to the completion rate of online courses

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Students Perception of Mobile Learning during COVID-19 in Bangladesh: University Student Perspective

Students Perception of Mobile Learning during COVID-19 in Bangladesh: University Student Perspective

ABSTRACT The aim of this study is to measures the student’s perception of using mobile for learning during COVID-19 in Bangladesh especially at the university student’s perspective. During the COVID-19

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PDD: Predictive Diabetes Diagnosis using Datamining Algorithms

PDD: Predictive Diabetes Diagnosis using Data mining Algorithms

Abstract Data analytics is used to obtain useful insights from small or large data set to conclude some useful information and also used for future recommendation and decision making. Predictive

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Analyzing Product Usage Based on Twitter Users Based on Datamining Process

Analyzing Product Usage Based on Twitter Users Based on Data mining Process

Abstract This paper further enhances the techniques and chronological methods in order to perform the corresponding manipulation and further prediction analysis. We have acquired a real-time dataset based on the

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The role of mobile learning on the learning environment shifting at high school in Indonesia

The role of mobile learning on the learning environment shifting at high school in Indonesia

Abstract This research is the result of a multi-year research since 2013–2015, which aims to determine the shifting of learning environment associated with the development of mobile technology. The rapid

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The Impact of Telegram on Learning of Collocational Knowledge among EFL High School Students

The Impact of Telegram on Learning of Collocational Knowledge among EFL High School Students

ABSTRACT Rapidly developing mobile applications and ubiquitous access to the Internet provide the learners with extended opportunities to be independent from any time and location. In this regard, this study

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Research on University New Media Student Management Innovation Based on Big Data Environment

Research on University New Media Student Management Innovation Based on Big Data Environment

Abstract Under the new media environment, information communication presents the characteristics of timeliness, convenience, and interactivity, which changes the working environment of university student management. The new medias communication mode

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