Exploring Student Academic Performance Using Data Mining Tools

Aboriginal Policy Studies

View Publication Info
 
 
Field Value
 
Title Exploring Student Academic Performance Using Data Mining Tools
 
Creator Paul, Ranjit; North Lakhimpur College
Gaftandzhieva, Silvia; University of Plovdiv “Paisii Hilendarski”
Kausar, Samina; Shanghai University
Hussain, Sadiq; Dibrugarh University
Doneva, Rositsa; University of Plovdiv “Paisii Hilendarski”
Baruah, A.K.; Dibrugarh University
 
Subject datasets, quality evaluation, data mining, student academic performance, educational data mining
 
Description Most of the educational institutes nowadays benefited from the hidden knowledge extracted from the datasets of their students, instructors and educational settings. The education system has gone through a paradigm shift from a traditional system to smart learning environments and from a teacher-centric system to context-aware any time anywhere student-centric approach. In this changing scenario, we have undertaken a study to investigate the results, grades and patterns of the students of North Lakhimpur College. The paper aims to evaluate the quality of learning on the basis of 19249 grades received from 758 students in 511 courses, included in the curriculum of 3 study programmes.
 
Publisher International Association of Online Engineering (IAOE)
 
Contributor
 
Date 2020-04-24
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://online-journals.org/index.php/i-jet/article/view/12557
10.3991/ijet.v15i08.12557
 
Source International Journal of Emerging Technologies in Learning (iJET); Vol 15, No 08 (2020); pp. 195-209
1863-0383
 
Language eng
 
Relation https://online-journals.org/index.php/i-jet/article/view/12557/6909
 
Rights Copyright (c) 2020 Ranjit Paul, Silvia Gaftandzhieva, Samina Kausar, Sadiq Hussain, Rositsa Doneva, A.K. Baruah
 

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