Implementation of the C4.5 Algorithm to Predict Student Achievement at SMK Negeri 6 Surakarta
IJIE (Indonesian Journal of Informatics Education), 2021 Data mining is a knowledge used to get information from multiple data. C.45 Algorithm is one of data mining algorithm to classify data to many categories.
Giovanni Anggiesta Putri +2 more
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Matrix: Jurnal Manajemen Teknologi dan Informatika, 2021 Education is an important thing in a person's life, because by having adequate education, one's life will be better. Education can be obtained formally through formal institutions that constructively provide a person's abilities academically.
Yulison Herry Chrisnanto +1 more
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Using Data Mining in Educational Administration - A Case Study on Improving School Attendance [PDF]
, 2020 open access articlePupil absenteeism remains a significant problem for schools across the globe with its negative impacts on overall pupil performance being well-documented.
Caraffini, Fabio +3 more
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Educational Data Mining to Support Programming Learning Using Problem-Solving Data
IEEE Access, 2022 Computer programming has attracted a lot of attention in the development of information and communication technologies in the real world. Meeting the growing demand for highly skilled programmers in the ICT industry is one of the major challenges.
Md. Mostafizer Rahman +4 more
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Leveraging Causal Reasoning in Educational Data Mining: An Analysis of Brazilian Secondary Education
Applied Sciences, 2023 This study presents an approach to investigating the main interventions related to gains on performance using a combination of educational data mining (EDM) techniques and traditional theory-driven models.
Rogério Luiz Cardoso Silva Filho +2 more
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Experiences in Mining Educational Data to Analyze Teacher's Performance: A Case Study with High Educational Teachers [PDF]
, 2017 Educational Data Mining (EDM) is a new paradigm aiming to mine and extract knowledge necessary to optimize the effectiveness of teaching process.
Almasri, Abdelbaset
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Educational data mining in moodle data
International Journal of Informatics and Communication Technology (IJ-ICT), 2021 <p>The main purpose of this research paper is to analyze the moodle data and identify the most influencing features to develop the predictive model. The research applies a wrapper-based feature selection method called Boruta for the selection of best predicting features. Data were collected from eighty-one students who were enrolled in the course
Sushil Shrestha, Manish Pokharel
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Educational Data Mining and Problem-Based Learning
Informatics in Education, 2014 This paper considers the use of log data provided by learning management systems when studying whether students obey the problem-based learning (PBL) method.
Sari WALLDÉN, Erkki MÄKINEN
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INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS
Studia Universitatis Babes-Bolyai: Series Informatica, 2018 Educational Data Mining is an attractive research field in which the underlying idea is that of bringing the data mining perspective into educational environments.
Liana Maria CRIVEI
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Implementasi Educational Data Mining Untuk Implementasi Kurikulum Berbasis Kompetensi (Kbk) [PDF]
, 2016 Kurikulum berbasis kompetensi (KBK) mengubah paradigma dalam mengajar, di antaranya adalah bagaimana mengukur kemampuan siswa yang outputnya adalah kompeten atau tidak kompeten.
Hendradi, P. (Purwono)
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