Results 231 to 240 of about 346,286 (280)

Lung X-ray Abnormalities Related to Conventional Gold Mining Activities in Sudan: A Pilot Study. [PDF]

Cureus
Mohammed AKY, Alobaid AEA, Humida EHM, Ali AMO, Hamid NA, Ahmed HG.   +5 more
europepmc   +1 more source

Construction of a predictive model for self realization and career satisfaction of university teachers based on text mining. [PDF]

Sci Rep
Fang Y, Chen M, Shi J.
europepmc   +1 more source

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

Front Res Metr Anal
Reina Marín Y, Quiñones Huatangari L, Cruz Caro O, Sánchez Bardales E, Alva Tuesta JN, Maicelo Guevara JL, Chávez Santos R.   +6 more
europepmc   +1 more source

Whole-body vibration exposure and chronic low back pain among heavy machine operators and long-haul truck drivers in Tanzania: a cross-sectional study. [PDF]

Front Public Health
Nyarubeli I, Sakwari G, Chombo S, Reuben S, Msangi N, Duguza R, Francis B, Lwaho S, Omar A, Mduma J.   +9 more
europepmc   +1 more source

Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics. [PDF]

Sci Rep
Vinoth Kumar ES, Augustian Isaac R, Sundaravadivel P, Janaki Ramal P.   +3 more
europepmc   +1 more source

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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, Esra Ayça Güzeldereli Yılmaz   +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, Sidney, D'Mello, Elizabeth A, McLaughlin, Zachary A, Pardos, Carolyn P, Rosé   +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