An Insight into Educational Data Mining

2019 ◽  
Vol 7 (2) ◽  
pp. 83-90
Author(s):  
Balwinder Kaur ◽  
Anu Gupta ◽  
R.K.Singla .
Keyword(s):  
Data Mining ◽  
Educational Data Mining ◽  
Insight Into

scholarly journals Mining Educational Data to Analyze Students’ Performance: A Case Study of Mawuli School, Ho

2020 ◽  
Vol 5 (5) ◽  
pp. 1920-1948
Author(s):  
Cephas Lokpo
Keyword(s):  
Data Mining ◽  
Linear Regression ◽  
Predictive Models ◽  
Quantitative Research ◽  
Educational Data Mining ◽  
Simple Linear Regression ◽  
Huge Data ◽  
Hidden Patterns ◽  
Insight Into

Data mining is the extraction of prospective valuable information from large chunk of data through the employment of many different data mining techniques. The usefulness of data mining coupled with the huge data generated in scholastic settings has made it an interesting field of research known as Educational Data Mining (EDM). The intent of EDM is to derive understanding from hidden patterns in data collected from institutions of learning to aid in identifying issues that influence students’ scholastic accomplishment, to solution of which will lead to improvement in accomplishment. Because scholastic achievement is dependent on several issues, it is essential to develop predictive models on students’ academic performance. This study’s objective, therefore, is to acquire an insight into performance through knowledge discovery by the use of simple linear regression in order to build a predictive model capable of predicting students’ grades to give a general overview of students’ performance in the WASSCE, and help improve students’ performance. In accomplishing the set objective for which the study was carried out, that is to predict the possible outcome of students in WASSCE, a widely sampled study was applied in undertaking the study (Quantitative research).

scholarly journals Educational Data Mining: A Review

2021 ◽  
Vol 1950 (1) ◽  
pp. 012022
Author(s):  
P. Bachhal ◽  
S. Ahuja ◽  
S. Gargrish
Keyword(s):  
Data Mining ◽  
Educational Data Mining

scholarly journals Educational data mining for students' performance based on fuzzy C-means clustering

2019 ◽  
Vol 2019 (11) ◽  
pp. 8245-8250
Author(s):  
Yu Li ◽  
Jin Gou ◽  
Zongwen Fan
Keyword(s):  
Data Mining ◽  
Educational Data Mining ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering

Improving Learners’ Assessment and Evaluation in Crisis Management Serious Games: an Emotion-based Educational Data Mining Approach

2021 ◽  
pp. 100428
Author(s):  
Ibtissem Daoudi ◽  
Raoudha Chebil ◽  
Erwan Tranvouez ◽  
Wided Lejouad Chaari ◽  
Bernard Espinasse
Keyword(s):  
Data Mining ◽  
Crisis Management ◽  
Serious Games ◽  
Educational Data Mining ◽  
Assessment And Evaluation ◽  
Data Mining Approach
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