short-paper

Predicting the Well-functioning of Learning Groups under Privacy Restrictions

Authors:

Tobias Hecking,

Dorian Doberstein,

H. Ulrich HoppeAuthors Info & Claims

LAK19: Proceedings of the 9th International Conference on Learning Analytics & Knowledge

Pages 245 - 249

https://doi.org/10.1145/3303772.3303826

Published: 04 March 2019 Publication History

Abstract

Establishing small learning groups in online courses is a possible way to foster collaborative knowledge building in an engaging and effective learning community. To enable group activities it is not enough to design collaborative tasks and to provide collaboration tools for online scenarios. Collaboration in such learning groups is prone to fail or even not to be initiated without explicit guidance. In the target situations, interventions and guiding mechanisms have to scale with a growing number of course participants. To achieve this under privacy constraints, we aim at identifying target indicators for well-functioning group work that do not rely on any kind of information about individual learners.

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Cited By

Kiwelekar ALaddha MNetak L(2022)Exemplar Use-Cases for Training Teachers on Learning AnalyticsHandbook on Intelligent Techniques in the Educational Process10.1007/978-3-031-04662-9_6(103-119)Online publication date: 16-Jun-2022
https://doi.org/10.1007/978-3-031-04662-9_6
Vrzakova HAmon MStewart ADuran ND'Mello SRensing CDrachsler HKovanović VPinkwart NScheffel MVerbert K(2020)Focused or stuck togetherProceedings of the Tenth International Conference on Learning Analytics & Knowledge10.1145/3375462.3375467(295-304)Online publication date: 23-Mar-2020
https://dl.acm.org/doi/10.1145/3375462.3375467
Hoppe HDoberstein DHecking T(2020)Using Sequence Analysis to Determine the Well-Functioning of Small Groups in Large Online CoursesInternational Journal of Artificial Intelligence in Education10.1007/s40593-020-00229-9Online publication date: 17-Dec-2020
https://doi.org/10.1007/s40593-020-00229-9

Predicting the Well-functioning of Learning Groups under Privacy Restrictions
1. Applied computing
  1. Education
2. Human-centered computing

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cover image ACM Other conferences

LAK19: Proceedings of the 9th International Conference on Learning Analytics & Knowledge

March 2019

565 pages

ISBN:9781450362566

DOI:10.1145/3303772

General Chairs:
Sharon Hsiao
Arizona State University, USA
,
Jim Cunningham
Arizona State University, USA
,
Katie McCarthy
Georgia State University, USA
,
Grace Lynch
Society for Learning Analytics Research, Australia
,
Program Chairs:
Christopher Brooks
University of Michigan, USA
,
Rebecca Ferguson
The Open University, UK
,
Ulrich Hoppe
University of Duisburg-Essen, Germany

Copyright © 2019 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
SoLAR: The Society for Learning Analytics Research
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 04 March 2019

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LAK19

LAK19: The 9th International Learning Analytics & Knowledge Conference

March 4 - 8, 2019

AZ, Tempe, USA

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Cited By

Kiwelekar ALaddha MNetak L(2022)Exemplar Use-Cases for Training Teachers on Learning AnalyticsHandbook on Intelligent Techniques in the Educational Process10.1007/978-3-031-04662-9_6(103-119)Online publication date: 16-Jun-2022
https://doi.org/10.1007/978-3-031-04662-9_6
Vrzakova HAmon MStewart ADuran ND'Mello SRensing CDrachsler HKovanović VPinkwart NScheffel MVerbert K(2020)Focused or stuck togetherProceedings of the Tenth International Conference on Learning Analytics & Knowledge10.1145/3375462.3375467(295-304)Online publication date: 23-Mar-2020
https://dl.acm.org/doi/10.1145/3375462.3375467
Hoppe HDoberstein DHecking T(2020)Using Sequence Analysis to Determine the Well-Functioning of Small Groups in Large Online CoursesInternational Journal of Artificial Intelligence in Education10.1007/s40593-020-00229-9Online publication date: 17-Dec-2020
https://doi.org/10.1007/s40593-020-00229-9

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