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Classification technique and its combination with clustering and association rule mining in educational data mining—A survey
Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …
EDM is used to classify, analyze, and predict the students' academic performance, and …
Learning analytics and collaborative groups of learners in distance education: a systematic map** study
Advances in information and communication technologies have contributed to the
increasing use of virtual learning environments as support tools in teaching and learning …
increasing use of virtual learning environments as support tools in teaching and learning …
Topic modeling for evaluating students' reflective writing: a case study of pre-service teachers' journals
Journal writing is an important and common reflective practice in education. Students'
reflection journals also offer a rich source of data for formative assessment. However, the …
reflection journals also offer a rich source of data for formative assessment. However, the …
Deep learning for opinion mining and topic classification of course reviews
Student opinions for a course are important to educators and administrators, regardless of
the type of the course or the institution. Reading and manually analyzing open-ended …
the type of the course or the institution. Reading and manually analyzing open-ended …
Estimation of student performance by considering consecutive lessons
Examining student learning behavior is one of the crucial educational issues. In this paper,
we propose a new method to predict student performance by using comment data mining. A …
we propose a new method to predict student performance by using comment data mining. A …
Impact of Virtual Worlds on Student Engagement and Academic Performance: An Analysis of Online Learning Using Second Life Technology
The metaverse is a virtual world with immense potential and is increasingly adopted as an
online learning platform for students. Students can build virtual worlds that simulate real-life …
online learning platform for students. Students can build virtual worlds that simulate real-life …
Analytical approach for predicting dropouts in higher education
In the world of technology, tools and gadgets, a huge amount of data is produced every
second in applications ranging from medical science, education, business, agriculture …
second in applications ranging from medical science, education, business, agriculture …
Develo** temporal machine learning approaches to support modeling, explaining, and sensemaking of academic success and risk of undergraduate students
N Nur - 2021 - search.proquest.com
The main goal of learning analytics and early detection systems is to extract knowledge from
student data to understand students' trends of activities towards success and risk and design …
student data to understand students' trends of activities towards success and risk and design …
Systematic Review and Analysis of EDM for Predicting the Academic Performance of Students
In education sector, two main tasks are—Analysis of students' data and predicting their
performance as it may leads to their great future. Analyzing the data obtained from …
performance as it may leads to their great future. Analyzing the data obtained from …
Status of learning analytics in Asia: Perspectives of higher education stakeholders
Despite the growing popularity of learning analytics in higher education, its development
status in Asia was barely studied. This paper reports a study on the development of learning …
status in Asia was barely studied. This paper reports a study on the development of learning …