Results 61 to 70 of about 900,550 (188)
International Journal of Emerging Technologies in Learning (iJET), 2022 This systematic literature review aims to identify the recent research trend, most studied factors, and methods used to predict student academic performance from 2015 to 2021. The PRISMA framework guides the study.
Muhammad Haziq Bin Roslan, C. Chen
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ANALYSING THE ACADEMIC PERFORMANCE OF STUDENTS USING UNSUPERVISED DATA MINING
Studia Universitatis Babes-Bolyai: Series Informatica, 2019 Educational Data Mining is an attractive interdisciplinary domain in which the main goal is to apply data mining techniques in educational environments in order to offer better insights into the educational related tasks.
George CIUBOTARIU, Liana Maria CRIVEI
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Інформаційні технології і засоби навчання, 2023 Poor ICT performance in teacher training colleges makes it more difficult for the majority of teachers to successfully use ICT resources in their teaching and learning.
Juma Habibu Shindo +2 more
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A Model for Learners Segmentation and Educational Performance Improvement Using Data Mining Algorithms [PDF]
مطالعات مدیریت کسب و کار هوشمند, 2020 Educational performance measurement through the identification and analysis of data extracted from learners’ activities can effectively result in the improvement of educational performance.
Sina Raeesi Vanani +2 more
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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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IEEE Access, 2022 Nowadays, both predictive and descriptive modelling play a key role in decision-making processes in almost every branch of activity. In this article we are introducing $IntelliDaM$ , a generic machine learning-based framework useful for improving the ...
Gabriela Czibula +3 more
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Techniques and Tools in Learning Analytics and Educational Data Mining: A Review
Journal of Educational Management and LearningLearning analytics and educational data mining are rapidly evolving fields that leverage data-driven methods to enhance teaching, learning, and institutional decision-making.
T. R. Noviandy +3 more
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A survey on educational data mining methods used for predicting students' performance
Engineering Reports, 2021 Predicting students' performance is one of the most important issues in educational data mining (EDM), which has received more and more attention.
Wen Xiao, Ping Ji, Juan Hu
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Big Data Platform for Educational Analytics
IEEE Access, 2021 Huge amounts of educational data are being produced, and a common challenge that many educational organizations confront, is finding an effective method to harness and analyze this data for continuously delivering enhanced education.
Amr A. Munshi, Ahmad Alhindi
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Learning Analytics dan Educational Data Mining pada Data Pendidikan
Jurnal Riset Pembelajaran Matematika Sekolah, 2022 Salah satu kelebihan dari pemanfaatan teknologi pada masa pandemi di dunia pendidikan adalah meningkatnya digital footprint. Digital footprint dapat berupa data mengenai diskusi antara pendidik dan peserta didik, nilai diskusi, nilai tugas, nilai ujian ...
S. A. A. Kharis, Arman Haqqi Anna Zili
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