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The prediction of student performance and the analysis of students' learning behavior play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behavior, educators can gain valuable in
Externí odkaz:
http://arxiv.org/abs/2403.14664
Autor:
Bach, Benjamin, Keck, Mandy, Rajabiyazdi, Fateme, Losev, Tatiana, Meirelles, Isabel, Dykes, Jason, Laramee, Robert S., AlKadi, Mashael, Stoiber, Christina, Huron, Samuel, Perin, Charles, Morais, Luiz, Aigner, Wolfgang, Kosminsky, Doris, Boucher, Magdalena, Knudsen, Søren, Manataki, Areti, Aerts, Jan, Hinrichs, Uta, Roberts, Jonathan C., Carpendale, Sheelagh
This paper is a call to action for research and discussion on data visualization education. As visualization evolves and spreads through our professional and personal lives, we need to understand how to support and empower a broad and diverse communi
Externí odkaz:
http://arxiv.org/abs/2308.07703
Autor:
Fogwill, Melissa, Manataki, Areti
Publikováno v:
In Computers & Graphics November 2024 124
Akademický článek
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Autor:
Doudesis, Dimitrios, Manataki, Areti
Publikováno v:
In International Journal of Medical Informatics March 2022 159
Akademický článek
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Autor:
Manataki, Areti
Supply Chain Management (SCM) is becoming increasingly important in the modern business world. In order to effectively manage and integrate a supply chain (SC), a deep understanding of overall SC operation dynamics is needed. This involves understand
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.578357
Publikováno v:
Studies in Health Technology & Informatics; 2024, Vol. 316, p1540-1544, 5p
Publikováno v:
Studies in Health Technology & Informatics; 2024, Vol. 316, p1510-1514, 5p
Publikováno v:
Rohani, N, Gal, K, Gallagher, M & Manataki, A 2023, Discovering students’ learning strategies in a visual programming MOOC through process mining techniques . in M Montali, A Senderovich & M Weidlich (eds), Process Mining Workshops-ICPM 2022 International Workshops, Revised Selected Papers . Lecture Notes in Business Information Processing, vol. 468 LNBIP, Springer Science and Business Media Deutschland GmbH, pp. 539-551, International Workshops on EDBA, ML4PM, RPM, PODS4H, SA4PM, PQMI, EduPM, and DQT-PM, held at the International Conference on Process Mining, ICPM 2022, Bozen-Bolzano, Italy, 23/10/22 . https://doi.org/10.1007/978-3-031-27815-0_39
Understanding students’ learning patterns is key for supporting their learning experience and improving course design. However, this is particularly challenging in courses with large cohorts, which might contain diverse students that exhibit a wide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::13ea0314ee3c016479f649fdc8029570
https://hdl.handle.net/20.500.11820/4b7b1d10-33ca-468e-af90-2cf9481838e0
https://hdl.handle.net/20.500.11820/4b7b1d10-33ca-468e-af90-2cf9481838e0