123 9 Process Mining from Educational Data Nikola Trcˇka, Mykola Pechenizkiy, and Wil van der Aalst 9.1 Introduction In.modern.education,.various.information.systems ...

Mar 1, 2021 · Due to the huge ability of data mining to explore hidden patterns and trends in the data, many researchers paid attention to Educational Data Mining (EDM) in the last decade. …

Oct 31, 2024 · Educational data mining (EDM) is a novel scientific area that focuses on developing and applying methods to analyze datasets generated within educational settings. …

Applying data mining in education also known as educational data mining (EDM), which enables to better understand how students learn and identify how improve educational outcomes. …

Educational Data Mining (EDM) proposes various approaches to procure meaningful information and eventually knowledge which would greatly benefit the Higher Educational Institutes to …

Sequential pattern mining is a useful tool in understanding learning processes, but identifying the most relevant patterns can be a challenge. Typical sequential pattern mining algorithms and …

Figure 1 illustrates the workflow of data mining model for classification. In the first step, feature selection algorithms are applied on the educational data. ...

Educational Data Mining is the application of data mining techniques in the educational field to analyze and predict students' academic performance, dropout rates, and instructors' …

This paper presents an umbrella review synthesizing the findings of explainability studies within the Educational Data Mining (EDM) and Learning Analytics (LA) domains.

Educational Data Mining (EDM; Romero, Ventura, Pechenizkiy, & Baker, 2010) is concerned with developing, researching, and applying computerized methods to detect patterns in large …