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  • Search: subject:"educational data mining"
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Year of publication
Subject
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Data Mining 15 Data mining 14 educational data mining 10 Educational Data Mining 8 Students 8 Studierende 8 Classification 7 Educational data mining 6 Forecasting model 6 Prognoseverfahren 6 Decision tree 5 Entscheidungsbaum 4 Abbrecher 3 Decision Tree 3 Drop-outs 3 Neural networks 3 Neuronale Netze 3 Prediction 3 Artificial intelligence 2 Bayesian Network 2 Bildungsverhalten 2 Brasilien 2 Brazil 2 Class imbalance 2 Discretization 2 Educational behaviour 2 Educational data mining (EDM) 2 Efficiency in Academics 2 Equal width binning 2 Higher education institution 2 Hochschule 2 Klassifikation 2 Künstliche Intelligenz 2 Learning analytics 2 Naive 2 Neural network 2 Over-sampling 2 Pupils 2 SMOTE 2 Schüler 2
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Online availability
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Undetermined 16 Free 9
Type of publication
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Article 22 Book / Working Paper 4
Type of publication (narrower categories)
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Article in journal 11 Aufsatz in Zeitschrift 11 Working Paper 3 Arbeitspapier 2 Article 2 Aufsatz im Buch 2 Book section 2 Graue Literatur 2 Non-commercial literature 2 research-article 2 Conference Paper 1 Conference paper 1 Konferenzbeitrag 1
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Language
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English 25 German 1
Author
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Bilal Zorić, Alisa 2 Galchenko, Maxim 2 Gushchinsky, Alexander 2 Haque, Naheena 2 Izdebski, Waldemar 2 Jishan, Syed 2 Pabreja, Kavita 2 Rahman, Rashedur M. 2 Rashu, Raisul 2 Sakowski, Patrícia Alessandra Morita 2 Skudlarski, Jacek 2 Tóvolli, Marina H. 2 Barclay, Corlane 1 Behr, Andreas 1 Benoit, Dries F. 1 Borges, Vinicius 1 Buck-Emden, Rüdiger 1 Caballero, William N. 1 Cankaya, Burak 1 Carvalho, Rommel 1 Chea, Phal 1 Chytas, Konstantinos 1 Coussement, Kristof 1 Dahmann, Franz-Dominik 1 Douglas, Stephanie 1 Emre, İlkim Ecem 1 English, Michael 1 Erol, Çiğdem Selçukcan 1 Erven, Gustavo van 1 Fernandes, Eduardo 1 Funk, Mathias 1 Giese, Marco 1 Hill, Raymond R. 1 Holanda, Maristela 1 Jenkins, Phillip R. 1 Joorabchi, Arash 1 K. S. Savita 1 Kaviya, M. 1 Kenekayoro, Patrick 1 Koçoğlu, Fatma Önay 1
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Published in...
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Decision Analytics 2 Data Technologies and Applications 1 Data science and management : DSM 1 Discussion Paper 1 Discussion paper 1 Discussion paper series / Research Institute for Economics and Business Administration, Kobe University 1 Foundations of Management 1 Foundations of Management : the journal of Warsaw University of Technology 1 HMD : Praxis der Wirtschaftsinformatik 1 International Journal of E-Adoption (IJEA) 1 International Journal of Information Systems in the Service Sector (IJISSS) 1 International Journal of Knowledge-Based Organizations (IJKBO) 1 International Journal of Web Portals (IJWP) 1 International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) 1 International journal of information systems in the service sector : IJISSS ; an official publication of the Information Resources Management Association 1 International journal of information technology and management : IJITM 1 Jahrbücher für Nationalökonomie und Statistik 1 Journal of Enterprise Information Management 1 Journal of business research : JBR 1 Journal of marketing analytics : JMA 1 Knowledge discovery process and methods to enhance organizational performance 1 Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (Online) 1 Socio-economic planning sciences : the international journal of public sector decision-making 1 Technological forecasting and social change : an international journal 1
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Source
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ECONIS (ZBW) 15 Other ZBW resources 7 EconStor 4
Showing 1 - 10 of 26
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What postpones degree completion? : discovering key predictors of undergraduate degree completion through explainable artificial intelligence (XAI)
Cankaya, Burak; Roberts, Robin; Douglas, Stephanie; … - In: Journal of marketing analytics : JMA 13 (2025) 2, pp. 514-536
Persistent link: https://www.econbiz.de/10015486176
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A model for predicting dropout of higher education students
Rabelo, Anaíle Mendes; Zárate, Luis Enrique - In: Data science and management : DSM 8 (2025) 1, pp. 72-85
Higher education institutions are becoming increasingly concerned with the retention of their students. This work is motivated by the interest in predicting and reducing student dropout, and consequently in reducing the financial losses of said institutions. Based on the characterization of the...
Persistent link: https://www.econbiz.de/10015454718
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High-stake student drop-out prediction using hidden Markov models in fully asynchronous subscription-based MOOCs
Benoit, Dries F.; Tsang, Wai Kit; Coussement, Kristof; … - In: Technological forecasting and social change : an … 198 (2024), pp. 1-9
Persistent link: https://www.econbiz.de/10015076463
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A review on feature selection methods for improving the performance of classification in educational data mining
Maryam Zaffar; Manzoor Ahmed Hashmani; K. S. Savita; … - In: International journal of information technology and … 20 (2021) 1/2, pp. 110-131
Persistent link: https://www.econbiz.de/10012511558
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Predicting Students’ Success Using Neural Networks
Bilal Zorić, Alisa - 2019
Fast technological changes and constant growth of knowledge in many areas have led to an increasing importance of different approach to education. Efficient education is the foundation of modern society and it has the most important role in preparing students for a very flexible labour market....
Persistent link: https://www.econbiz.de/10012141474
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Predicting students' success using neural networks
Bilal Zorić, Alisa - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 5 (2019) 1, pp. 58-66
Fast technological changes and constant growth of knowledge in many areas have led to an increasing importance of different approach to education. Efficient education is the foundation of modern society and it has the most important role in preparing students for a very flexible labour market....
Persistent link: https://www.econbiz.de/10012228047
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A review of data used in education research : focus on empirical studies in developing countries
Chea, Phal - 2019
Persistent link: https://www.econbiz.de/10012161871
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Educational data mining in the academic setting: employing the data produced by blended learning to ameliorate the learning process
Chytas, Konstantinos; Tsolakidis, Anastasios; … - In: Data Technologies and Applications 57 (2022) 3, pp. 366-384
Purpose The purpose of this paper is to introduce an interactive system that relies on the educational data generated from the online Universities services to assess, correct and ameliorate the learning process for both students and faculty. Design/methodology/approach In the presented research,...
Persistent link: https://www.econbiz.de/10014712699
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Predicting success in United States Air Force pilot training using machine learning techniques
Jenkins, Phillip R.; Caballero, William N.; Hill, Raymond R. - In: Socio-economic planning sciences : the international … 79 (2022), pp. 1-14
Persistent link: https://www.econbiz.de/10013327246
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Complex approaches for education in Brazil
Sakowski, Patrícia Alessandra Morita; Tóvolli, Marina H. - 2016
, Intelligent Tutoring Systems, Educational Data Mining, and Learning Analytics, among others. Finally, some insights of the complex …
Persistent link: https://www.econbiz.de/10012234222
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