Towards more Visual Analytics in Learning Analytics (English)

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Learning Analytics is the collection, management and analysis of students' learning. It is used to enable teachers to understand how their students are progressing and for learners to ascertain how well they are performing. Often the data is displayed through dashboards. However, there is a huge opportunity to include more comprehensive and interactive visualizations that provide visual depictions and analysis throughout the lifetime of the learner, monitoring their progress from novices to experts. We therefore encourage researchers to take a comprehensive approach and re-think how visual analytics can be applied to the learning environment, and develop more interactive and exploratory interfaces for the learner and teacher.

  • Title:
    Towards more Visual Analytics in Learning Analytics
  • Author / Creator:
  • Published in:
  • Publisher:
    The Eurographics Association
  • Year of publication:
    2014
  • Size:
    5 pages
  • ISBN:
  • DOI:
  • Type of media:
    Conference paper
  • Type of material:
    Electronic Resource
  • Language:
    English
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Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications
Fischer, Fabian / Davey, James / Fuchs, Johannes / Thonnard, Olivier / Kohlhammer, Jörn / Keim, Daniel A. | 2014
Interactively Visualizing Summaries of Rules and Exceptions
Sharma, Geetika / Shroff, Gautam / Pandey, Aditeya / Agarwal, Puneet / Srinivasan, Ashwin | 2014
Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space
Agibetov, Asan / Vaquero, Ricardo Manuel Millan / Friese, Karl-Ingo / Patane, Giuseppe / Spagnuolo, Michela / Wolter, Franz-Erich | 2014
From Ill-defined Problems to Informed Decisions
Roberts, Jonathan / Keim, Daniel / Hanratty, Timothy / Rowlingson, Robert / Walker, Rick / Hall, Mark / Jackobson, Zack / Lavigne, Valerie / Rooney, Chris / Varga, Margaret | 2014
Ribbons: Enabling the Effective Use of HPC Utilization Data for System Support Staff
Sisneros, Robert / Fullop, Joshi / Semeraro, B. David / Bauer, Greg | 2014
What's In a Name? Data Linkage, Demography and Visual Analytics
Wang, Feng / Ibarra, Jose / Muhammed, Adnan / Longley, Paul / Maciejewski, Ross | 2014
Towards more Visual Analytics in Learning Analytics
Ritsos, Panagiotis D. / Roberts, Jonathan C. | 2014
A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data
Alsallakh, Bilal / Bögl, Markus / Gschwandtner, Theresia / Miksch, Silvia / Esmael, Bilal / Arnaout, Arghad / Thonhauser, Gerhard / Zöllner, Philipp | 2014
Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process
Oliveros, Silvia / Yang, Yang / Jang, Yun / Maule, Ben / Ebert, David | 2014
Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces
Shao, Lin / Behrisch, Michael / Schreck, Tobias / Landesberger, Tatiana von / Scherer, Maximilian / Bremm, Sebastian / Keim, Daniel | 2014
Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics
Luboschik, Martin / Röhlig, Martin / Kundt, Günther / Stachs, Oliver / Peschel, Sabine / Zhivov, Andrey / Guthoff, Rudolf F. / Winter, Karsten / Schumann, Heidrun | 2014