research-article

Understanding promotions in a case study of student blogging

Authors:

Bjorn Levi Gunnarsson,

Richard AltermanAuthors Info & Claims

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

Pages 57 - 65

https://doi.org/10.1145/2460296.2460309

Published: 08 April 2013 Publication History

Abstract

Promoting blog content is a social activity; it is a means of communicating one student's appreciation of another student's work. This paper explores the feasibility of using student promotions of content, in a blogosphere, to identify quality content, and implications for instructors. We show that students actively and voluntarily promote content, use promotion data to select which posts to read, and with considerable accuracy identify quality material. We explore the benefits of knowing which students are good and poor predictors of quality content, and what instructors can do with this information in terms of feedback and guidance.

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Cited By

Milligan S(2020)Standards for Developing Assessments of Learning Using Process DataRe-imagining University Assessment in a Digital World10.1007/978-3-030-41956-1_13(179-192)Online publication date: 14-Jul-2020
https://doi.org/10.1007/978-3-030-41956-1_13
Alterman RHarsch K(2017)A more reflective form of joint problem solvingInternational Journal of Computer-Supported Collaborative Learning10.1007/s11412-017-9250-112:1(9-33)Online publication date: 7-Mar-2017
https://doi.org/10.1007/s11412-017-9250-1
Wang JXu XWu XHu XYang Y(2014)Characterizing Patterns of Chinese Yiban Blogging ServiceProceedings of the 2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery10.1109/CyberC.2014.41(183-186)Online publication date: 13-Oct-2014
https://dl.acm.org/doi/10.1109/CyberC.2014.41

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Understanding promotions in a case study of student blogging

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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

Milligan S(2020)Standards for Developing Assessments of Learning Using Process DataRe-imagining University Assessment in a Digital World10.1007/978-3-030-41956-1_13(179-192)Online publication date: 14-Jul-2020
https://doi.org/10.1007/978-3-030-41956-1_13
Alterman RHarsch K(2017)A more reflective form of joint problem solvingInternational Journal of Computer-Supported Collaborative Learning10.1007/s11412-017-9250-112:1(9-33)Online publication date: 7-Mar-2017
https://doi.org/10.1007/s11412-017-9250-1
Wang JXu XWu XHu XYang Y(2014)Characterizing Patterns of Chinese Yiban Blogging ServiceProceedings of the 2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery10.1109/CyberC.2014.41(183-186)Online publication date: 13-Oct-2014
https://dl.acm.org/doi/10.1109/CyberC.2014.41

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