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D. Keim, J. Kohlhammer, Geoffrey Ellis, Florian Mansmann (2010)
Mastering the Information Age - Solving Problems with Visual Analytics
Huamin Qu, Qing Chen (2015)
Visual Analytics for MOOC DataIEEE Computer Graphics and Applications, 35
Diego Aguilar, Á. Hernández-García, F. García-Peñalvo, Roberto Therón (2015)
Tap into visual analysis of customization of grouping of activities in eLearningComput. Hum. Behav., 47
C. Bors, T. Gschwandtner, S. Miksch (2019)
Capturing and Visualizing Provenance From Data WranglingIEEE Computer Graphics and Applications, 39
Abdallah Moubayed, M. Injadat, A. Nassif, H. Lutfiyya, A. Shami (2018)
E-Learning: Challenges and Research Opportunities Using Machine Learning & Data AnalyticsIEEE Access, 6
D. Keim, G. Andrienko, Jean-Daniel Fekete, C. Görg, J. Kohlhammer, G. Melançon (2008)
Visual Analytics: Definition, Process, and Challenges
Mohamed Chatti, A. Dyckhoff, U. Schroeder, Hendrik Thüs (2012)
A reference model for learning analyticsInternational Journal of Technology Enhanced Learning, 4
W. Greller, H. Drachsler (2012)
Translating Learning into Numbers: A Generic Framework for Learning AnalyticsJ. Educ. Technol. Soc., 15
P. Long, George Siemens (2014)
Penetrating the fog: analytics in learning and educationTD Tecnologie Didattiche, 22
Rob Kitchin, G. Mcardle (2016)
What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasetsBig Data & Society, 3
M. Golfarelli, S. Rizzi (2019)
A model-driven approach to automate data visualization in big data analyticsInformation Visualization, 19
Camilo Vieira, Paul Parsons, Vetria Byrd (2018)
Visual learning analytics of educational data: A systematic literature review and research agendaComput. Educ., 122
Diego Aguilar, C. Guerrero, Roberto Sánchez, F. Peñalvo (2010)
Visual Analytics to Support E-learning
D. Clow (2012)
The learning analytics cycle: closing the loop effectivelyProceedings of the 2nd International Conference on Learning Analytics and Knowledge
Robert Bodily, K. Verbert (2017)
Review of Research on Student-Facing Learning Analytics Dashboards and Educational Recommender SystemsIEEE Transactions on Learning Technologies, 10
Daniel Filvà, María Guerrero, M. Forment (2014)
Google analytics for time behavior measurement in Moodle2014 9th Iberian Conference on Information Systems and Technologies (CISTI)
D. Gómez-Aguilar, F. García-Peñalvo, Roberto Therón (2014)
Analítica visual en eLearningProfesional De La Informacion, 23
X. Ochoa (2015)
Visualizing Uncertainty in the Prediction of Academic Risk
Sven Charleer, J. Klerkx, E. Duval, T. Laet, K. Verbert (2016)
Creating Effective Learning Analytics Dashboards: Lessons Learnt
D. Sacha, A. Stoffel, Florian Stoffel, B. Kwon, Geoffrey Ellis, D. Keim (2014)
Knowledge Generation Model for Visual AnalyticsIEEE Transactions on Visualization and Computer Graphics, 20
Miguel González, F. García-Peñalvo, Diego Aguilar, Roberto Therón (2014)
Visual learning analytics techniques applied in software engineering subjects2014 IEEE Frontiers in Education Conference (FIE) Proceedings
Hsiu-Feng Wang, Chia-Hsiung Lin (2019)
An investigation into visual complexity and aesthetic preference to facilitate the creation of more appropriate learning analytics systems for childrenComput. Hum. Behav., 92
George Siemens, D. Gašević, C. Haythornthwaite, S. Dawson, S. Shum, Rebecca Ferguson, E. Duval, K. Verbert, R. Baker (2011)
Open Learning Analytics: an integrated modularized platform
A. Wise (2018)
Learning Analytics: Using Data-Informed Decision-Making to Improve Teaching and LearningContemporary Technologies in Education
A. Fortenbacher, Liane Beuster, M. Elkina, L. Kappe, A. Merceron, Andreas Pursian, Sebastian Schwarzrock, B. Wenzlaff
The 7 Th Ieee International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications Lemo: a Learning Analytics Application Focussing on User Path Analysis and Interactive Visualization
[Visual learning analytics is an emerging research field in the intersection of visual analytics and learning analytics that is suited to address the many challenges that big data brings to the education domain. Although recent research endeavours have approached the analysis of educational processes through visual analytics, the theoretical foundations of both fields have remained mainly within their boundaries. This chapter aims at mitigating this problem by describing a reference model for visual learning analytics that can guide the design and development of successful systems. A discussion of data, methods, users and objectives’ implications within the frame of the reference model highlights why visual learning analytics is regarded as a particularly promising technology to improve educational processes. ]
Published: May 9, 2020
Keywords: Visual learning analytics; Reference model; Learning analytics; Visual analytics
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