demonstration

The connected learning analytics toolkit

Authors:

Simon Buckingham Shum,

Shane Dawson,

Dragan Gašević,

George Siemens,

Grace LynchAuthors Info & Claims

LAK '16: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge

Pages 548 - 549

https://doi.org/10.1145/2883851.2883881

Published: 25 April 2016 Publication History

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Abstract

This demonstration introduces the Connected Learning Analytics (CLA) Toolkit. The CLA toolkit harvests data about student participation in specified learning activities across standard social media environments, and presents information about the nature and quality of the learning interactions.

References

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Cited By

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Lobo-Quintero RHernández-Leo DTaibi DTheophilou ESánchez-Reina R(2024)Analyzing factors influencing student engagement in an educative social media platformBehaviour & Information Technology10.1080/0144929X.2024.2406259(1-16)Online publication date: 14-Nov-2024
https://doi.org/10.1080/0144929X.2024.2406259
SOMYÜREK SGÜYER TATASOY BÜNAL M(2021)E-Öğrenme Ortamları ve Öğrenme AnalitikleriE-Learning Environments and Learning AnalyticsBilişim Teknolojileri Dergisi10.17671/gazibtd.70979814:3(327-336)Online publication date: 31-Jul-2021
https://doi.org/10.17671/gazibtd.709798
Chen SOuyang FJiao P(2021)Promoting student engagement in online collaborative writing through a student‐facing social learning analytics toolJournal of Computer Assisted Learning10.1111/jcal.1260438:1(192-208)Online publication date: 24-Aug-2021
https://doi.org/10.1111/jcal.12604
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Index Terms

The connected learning analytics toolkit
1. Applied computing
  1. Education
2. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

LAK '16: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge

April 2016

567 pages

ISBN:9781450341905

DOI:10.1145/2883851

General Chairs:
Dragan Gašević
University of Edinburgh, United Kingdom
,
Grace Lynch
Society for Learning Analytics Research
,
Program Chairs:
Shane Dawson
University of South Australia
,
Hendrik Drachsler
University of the Netherlands
,
Carolyn Penstein Rosé
Carnegie Mellon University

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 April 2016

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Demonstration

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LAK '16

LAK '16: 6th International Conference on Learning Analytics and Knowledge

April 25 - 29, 2016

Edinburgh, United Kingdom

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LAK '16 Paper Acceptance Rate 36 of 116 submissions, 31%;

Overall Acceptance Rate 236 of 782 submissions, 30%

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Lobo-Quintero RHernández-Leo DTaibi DTheophilou ESánchez-Reina R(2024)Analyzing factors influencing student engagement in an educative social media platformBehaviour & Information Technology10.1080/0144929X.2024.2406259(1-16)Online publication date: 14-Nov-2024
https://doi.org/10.1080/0144929X.2024.2406259
SOMYÜREK SGÜYER TATASOY BÜNAL M(2021)E-Öğrenme Ortamları ve Öğrenme AnalitikleriE-Learning Environments and Learning AnalyticsBilişim Teknolojileri Dergisi10.17671/gazibtd.70979814:3(327-336)Online publication date: 31-Jul-2021
https://doi.org/10.17671/gazibtd.709798
Chen SOuyang FJiao P(2021)Promoting student engagement in online collaborative writing through a student‐facing social learning analytics toolJournal of Computer Assisted Learning10.1111/jcal.1260438:1(192-208)Online publication date: 24-Aug-2021
https://doi.org/10.1111/jcal.12604
Wong GLi YLai X(2021)Visualizing the learning patterns of topic-based social interaction in online discussion forums: an exploratory studyEducational Technology Research and Development10.1007/s11423-021-10040-5Online publication date: 23-Aug-2021
https://doi.org/10.1007/s11423-021-10040-5
Billingsley WFletcher P(2021)Employing Authentic Analytics for More Authentic TasksBig Data in Education: Pedagogy and Research10.1007/978-3-030-76841-6_7(141-162)Online publication date: 5-Oct-2021
https://doi.org/10.1007/978-3-030-76841-6_7
Isaias PBackx Noronha Viana A(2020)On the Design of a Teachers’ Dashboard: Requirements and InsightsLearning and Collaboration Technologies. Designing, Developing and Deploying Learning Experiences10.1007/978-3-030-50513-4_19(255-269)Online publication date: 10-Jul-2020
https://doi.org/10.1007/978-3-030-50513-4_19
Guitart Hormigo IRodríguez MBaró X(2019)Design and Implementation of Dashboards to Support Teachers Decision-Making Process in e-Assessment SystemsEngineering Data-Driven Adaptive Trust-based e-Assessment Systems10.1007/978-3-030-29326-0_6(109-132)Online publication date: 19-Oct-2019
https://doi.org/10.1007/978-3-030-29326-0_6
Estvez-Ayres IArias Fisteus JDelgado-Kloos C(2017)LostregoJournal of Network and Computer Applications10.1016/j.jnca.2017.10.014100:C(56-68)Online publication date: 15-Dec-2017
https://dl.acm.org/doi/10.1016/j.jnca.2017.10.014

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Applying social learning analytics to message boards in online distance learning

Exploring Social Learning Analytics to Support Teaching and Learning Decisions in Online Learning Environments

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