research-article

From micro to macro: analyzing activity in the ROLE Sandbox

Authors:

Dominik Renzel,

Ralf KlammaAuthors Info & Claims

LAK '13: Proceedings of the Third International Conference on Learning Analytics and Knowledge

Pages 250 - 254

https://doi.org/10.1145/2460296.2460347

Published: 08 April 2013 Publication History

Abstract

Current learning services are increasingly based on standard Web technologies and concepts. As by-product of service operation, Web logs capture and contextualize user interactions in a generic manner, in high detail, and on a massive scale. At the same time, we face inventions of data standards for capturing and encoding learner interactions tailored to learning analytics purposes. However, such standards are often focused on institutional and management perspectives or biased by their intended use. In this paper, we argue for Web logs as valuable data sources for learning analytics on all levels of Bronfenbrenner's Ecological System Theory and introduce a simple framework for Web log data enrichment, processing and further analysis. Based on an example data set from a management service for widget-based Personal Learning Environments, we illustrate our approach and discuss the applicability of different analysis techniques along with their particular benefits for learners.

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Cited By

Hamdane KMhouti AMassar M(2022)How can learning analytics techniques improve the Learning Process ? An overview2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)10.1109/IRASET52964.2022.9738003(1-5)Online publication date: 3-Mar-2022
https://doi.org/10.1109/IRASET52964.2022.9738003
Renzel DKoren IKlamma RJarke MFerrario MPernici B(2017)Preparing research projects for sustainable software engineering in societyProceedings of the 39th International Conference on Software Engineering: Software Engineering in Society Track10.1109/ICSE-SEIS.2017.4(23-32)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.1109/ICSE-SEIS.2017.4
Ley TKlamma RLindstaedt SWild FGašević DLynch GDawson SDrachsler HPenstein Rosé C(2016)Learning analytics for workplace and professional learningProceedings of the Sixth International Conference on Learning Analytics & Knowledge10.1145/2883851.2883860(484-485)Online publication date: 25-Apr-2016
https://dl.acm.org/doi/10.1145/2883851.2883860
Show More Cited By

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From micro to macro: analyzing activity in the ROLE Sandbox

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Published In

cover image ACM Conferences

LAK '13: Proceedings of the Third International Conference on Learning Analytics and Knowledge

April 2013

300 pages

ISBN:9781450317856

DOI:10.1145/2460296

Editors:
Dan Suthers
University of Hawaii, USA
,
Katrien Verbert
Eindhoven University of Technology, The Netherlands
,
Erik Duval
University of Leuven, Belgium
,
Xavier Ochoa
Escuela Superior Politécnica del Litoral, Ecuador

Copyright © 2013 ACM.

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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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
K.U. Leuven: K.U. Leuven
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 April 2013

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LAK '13

Sponsor:

SIGWEB
K.U. Leuven
SIGCHI

LAK '13: Third Conference on Learning Analytics and Knowledge

April 8 - 13, 2013

Leuven, Belgium

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LAK '13 Paper Acceptance Rate 16 of 58 submissions, 28%;

Overall Acceptance Rate 236 of 782 submissions, 30%

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Cited By

Hamdane KMhouti AMassar M(2022)How can learning analytics techniques improve the Learning Process ? An overview2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)10.1109/IRASET52964.2022.9738003(1-5)Online publication date: 3-Mar-2022
https://doi.org/10.1109/IRASET52964.2022.9738003
Renzel DKoren IKlamma RJarke MFerrario MPernici B(2017)Preparing research projects for sustainable software engineering in societyProceedings of the 39th International Conference on Software Engineering: Software Engineering in Society Track10.1109/ICSE-SEIS.2017.4(23-32)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.1109/ICSE-SEIS.2017.4
Ley TKlamma RLindstaedt SWild FGašević DLynch GDawson SDrachsler HPenstein Rosé C(2016)Learning analytics for workplace and professional learningProceedings of the Sixth International Conference on Learning Analytics & Knowledge10.1145/2883851.2883860(484-485)Online publication date: 25-Apr-2016
https://dl.acm.org/doi/10.1145/2883851.2883860
Renzel DKlamma RKravcik MNussbaumer A(2015)Tracing Self-Regulated Learning in Responsive Open Learning EnvironmentsAdvances in Web-Based Learning -- ICWL 201510.1007/978-3-319-25515-6_14(155-164)Online publication date: 7-Nov-2015
https://doi.org/10.1007/978-3-319-25515-6_14
Zhou XJin Q(2014)Analysis of Sharable Learning Processes and Action Patterns for Adaptive Learning SupportAdvances in Web-Based Learning – ICWL 201410.1007/978-3-319-09635-3_19(173-178)Online publication date: 2014
https://doi.org/10.1007/978-3-319-09635-3_19
Hecking TManske SBollen LGovaerts SVozniuk AHoppe H(2014)A Flexible and Extendable Learning Analytics InfrastructureAdvances in Web-Based Learning – ICWL 201410.1007/978-3-319-09635-3_13(123-132)Online publication date: 2014
https://doi.org/10.1007/978-3-319-09635-3_13
Klamma R(2013)Community Learning Analytics --- Challenges and OpportunitiesProceedings of the 12th International Conference on Advances in Web-Based Learning --- ICWL 2013 - Volume 816710.1007/978-3-642-41175-5_29(284-293)Online publication date: 6-Oct-2013
https://dl.acm.org/doi/10.1007/978-3-642-41175-5_29

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