Abstract Currently, data analysis from social networks is referred to as big data analysis (BigData). The analysis of big data is difficult primarily due to the fact that all the […]
Algorithms for Automated Sentiment Analysis of Posts in Social Networks Read More »
Abstract Exponential technological development as seen in the 21st century has led to the generation of the very large volume of data in different formats and at a very high
Abstract The handling of a large amount of data to analyze certain behaviors is reaching great popularity in the decade 2010–2020. This phenomenon has been called Big Data. In the
Big Data in Education. A Bibliometric Review Read More »
ABSTRACT The World Wide Web is the largest collection of data today and it continues increasing day by day. A web crawler is a program from the huge downloading of
SURVEY OF WEB CRAWLING ALGORITHMS Read More »
ABSTRACT The development of digitalization and digital technologies in Russia happens rapidly, changing the usual course of human life. The professional education system responds to current changes by adjusting to
DIGITALIZATION IN EDUCATION AS AN ENHANCING FACTOR IN TEACHING MATH Read More »
Introduction Much has been written about the rapidly emerging, disruptive impact being detected on every aspect of how machines and their operational technology (OT) communicate with one other, with the
IoT 2020: Smart and secure IoT platform Read More »
Introduction The increasing pervasiveness of data and analytics in higher education creates many new opportunities to support and enhance learning environments for students. As a result, there is growing interest
The Ethics of Learning Analytics in Australian Higher Education Read More »
ABSTRACT Background: Studies have shown that there is a gap between theory and practice in the use of learning analytics in educational settings. Some researchers attribute this gap to not
Investigation on the Role of Learning Theory in Learning Analytics Read More »
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
An Ontological Model to Predict Dropout Students Using Machine Learning Techniques Read More »
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
