Results 231 to 240 of about 347,866 (276)

Characterization of the stress level of university students using data mining algorithms. [PDF]

open access: yesFront Res Metr Anal
Reina Marín Y   +6 more
europepmc   +1 more source

Educational Data Mining

2020
The education-training process and all activities related to it have the power to direct the future of societies. From this point of view, the process should be analyzed frequently in terms of input, output, and other process elements. Educational data mining is a multidisciplinary research area that develops methods and techniques for discovering data
Aslıhan Tüfekci   +1 more
  +4 more sources

Data mining and education

WIREs Cognitive Science, 2015
An emerging field of educational data mining (EDM) is building on and contributing to a wide variety of disciplines through analysis of data coming from various educational technologies. EDM researchers are addressing questions of cognition, metacognition, motivation, affect, language, social discourse, etc. using data from intelligent tutoring systems,
Kenneth R, Koedinger   +4 more
openaire   +2 more sources

Cognitive Study of Data Mining Techniques in Educational Data Mining for Higher Education

2021
Data mining is a subset of Data Science. The future is bright for data science as the amount of data only increases. Educational data mining (EDM) involves mining similar valuable information from data sets that stores academic work information. It focuses on using data mining techniques to discover valuable knowledge from the educational datasets. EDM
Pratiksha Kanwar, Monika Rathore
openaire   +1 more source

Educational Data Mining Review

2017
In today's era, educational data mining is a discipline of high importance for teaching enhancement. EDM techniques can reveal useful information to educators to help them design or modify the structure of courses. EDM techniques majorly include machine learning and data mining techniques.
Rashmi Agrawal, Neha Gupta
openaire   +1 more source

DATA MINING TECHNIQUES IN EDUCATION

Вестник ГГНТУ. Гуманитарные и социально-экономические науки, 2022
В данной статье проводится обзор и обосновывается актуальность применения методов интеллектуального анализа данных в образовании. Изложены особенности и основные методы, применяемые для анализа данных в исследуемой области. Описанные методы наиболее актуальны и употребимы в системах поддержки принятия решений.
openaire   +1 more source

Analysis of Educational Data Mining

2018
This research paper aims to compare the performance of various clustering and classification algorithms which are applied on the same educational dataset. Educational Data Mining (EDM) uses these algorithms to explore educational statistics to discover patterns and predictions in data that illustrate learner’s performance.
Ravinder Ahuja   +3 more
openaire   +1 more source

Web Data Mining in Education

2017
Web data mining for extracting meaningful information from large amount of web data has been explored over a decade. The concepts and techniques have been borrowed into the education sector and the new research discipline of learning analytics has emerged.
openaire   +1 more source

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