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A learning analytics tool with hybrid graphical and textual interpretation generation

Published: 02 November 2016 Publication History

Abstract

The introduction and use of on-line learning resources has improved students learning process in several aspects. But at the same time, it also introduced more complexity and made more difficult to teachers how to analyze learning evolution and improvement of students. In this paper, we propose a first approach how to visualize and analyze student interaction with on-line learning systems and Virtual Learning Environments (VLE).
We present a piece of software that collects information on the interaction of the students with the Moodle VLE and that it displays to teachers in a more analytical way. The interaction data is displayed to support teacher interpretation from a learning point of view, with the inclusion of automatically generated textual explanations about the analysis of such data.

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Cited By

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  • (2022)Socio-affective Profiles in Virtual Learning Environments: Using Learning AnalyticsInnovative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education10.1007/978-3-031-21569-8_2(15-26)Online publication date: 16-Dec-2022
  • (2018)A Systematic Literature Review of Indicators for the Understanding of Interactions in Virtual Learning Environments2018 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI46756.2018.00120(596-600)Online publication date: Dec-2018

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  1. A learning analytics tool with hybrid graphical and textual interpretation generation

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      cover image ACM Other conferences
      TEEM '16: Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality
      November 2016
      1165 pages
      ISBN:9781450347471
      DOI:10.1145/3012430
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 02 November 2016

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      Author Tags

      1. learning analytics
      2. learning management systems
      3. moodle
      4. student interactions
      5. virtual learning environments

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      TEEM '16 Paper Acceptance Rate 167 of 235 submissions, 71%;
      Overall Acceptance Rate 496 of 705 submissions, 70%

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      • (2022)Socio-affective Profiles in Virtual Learning Environments: Using Learning AnalyticsInnovative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education10.1007/978-3-031-21569-8_2(15-26)Online publication date: 16-Dec-2022
      • (2018)A Systematic Literature Review of Indicators for the Understanding of Interactions in Virtual Learning Environments2018 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI46756.2018.00120(596-600)Online publication date: Dec-2018

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