E-learning enhancement through educational data mining with Covid-19 outbreak period in backdrop: A review [PDF]
Int J Educ Dev, 2023 E-learning is fast becoming an integral part of the teaching- learning process, particularly after the outbreak of Covid-19 pandemic. Educational institutions across the globe are striving to enhance their e-learning instructional mechanism in accordance
Kudratdeep Aulakh +2 more
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Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling [PDF]
Educ Inf Technol (Dordr), 2022 Machine Learning concept learns from experiences, inferences and conceives complex queries. Machine learning techniques can be used to develop the educational framework which understands the inputs from students, parents and with intelligence generates ...
P. Guleria, Manu Sood
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Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining [PDF]
Sci RepExploring students’ cognitive abilities has long been an important topic in education. This study employs data-driven artificial intelligence (AI) models supported by explainability algorithms and PSM causal inference to investigate the factors ...
Tianyue Niu +5 more
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Advancing educational data mining for enhanced student performance prediction: a fusion of feature selection algorithms and classification techniques with dynamic feature ensemble evolution [PDF]
Sci RepThe integration of technology into educational institutions has led to the generation of vast data, creating opportunities for Educational Data Mining (EDM) to improve learning outcomes.
Saleem Malik +8 more
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Educational data mining and learning analytics: An updated survey [PDF]
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2020 This survey is an updated and improved version of the previous one published in 2013 in this journal with the title “data mining in education”. It reviews in a comprehensible and very general way how Educational Data Mining and Learning Analytics have ...
Cristobal Romero Morales +1 more
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Effective Graph Mining for Educational Data Mining and Interest Recommendation
Applied Bionics and Biomechanics, 2022 In order to fully understand and analyze the rules and cognitive characteristics of users’ learning methods and, with the assistance of Internet and artificial acquaintance technology, to emphasize the integrity and degree of personalized education, a ...
Shasha Xu
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Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis [PDF]
Front Psychol, 2021 Student performance prediction (SPP) aims to evaluate the grade that a student will reach before enrolling in a course or taking an exam. This prediction problem is a kernel task toward personalized education and has attracted increasing attention in the
Yupei Zhang +5 more
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Information (Switzerland), 2023 Educational data mining is capable of producing useful data-driven applications (e.g., early warning systems in schools or the prediction of students’ academic achievement) based on predictive models.
Okan Bulut +2 more
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Educational Data Mining: A Foundational Overview
EncyclopediaEducational data mining (EDM) is a novel scientific area that focuses on developing and applying methods to analyze datasets generated within educational settings. This paper outlines the evolution, significance, and applications of EDM.
Ilias Papadogiannis +2 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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