research-article

The value of learning analytics to networked learning on a personal learning environment

Authors:

Hélène Fournier,

Hanan SitliaAuthors Info & Claims

LAK '11: Proceedings of the 1st International Conference on Learning Analytics and Knowledge

Pages 104 - 109

https://doi.org/10.1145/2090116.2090131

Published: 27 February 2011 Publication History

Abstract

Some might argue that the analytics tools at our disposal are currently mainly used for boring purposes, such as improving processes and making money. In this paper we will try to define learning analytics and their purpose for learning and education. We will ponder on the best possible fit of particular types of research methods and their analysis. Methodological concerns related to the analysis of Big Data collected on online networks as well as ethical and privacy concerns will also be highlighted and a case study of the use of learning analytics in a Massive Open Online Course explored.

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Stoyanov SKirschner P(2023)Text analytics for uncovering untapped ideas at the intersection of learning design and learning analytics: Critical interpretative synthesisJournal of Computer Assisted Learning10.1111/jcal.1277539:3(899-920)Online publication date: 9-Jan-2023
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Published In

cover image ACM Other conferences

LAK '11: Proceedings of the 1st International Conference on Learning Analytics and Knowledge

February 2011

195 pages

ISBN:9781450309448

DOI:10.1145/2090116

Conference Chairs:
Phillip Long
University of Queensland, Australia
,
George Siemens
Athabasca University, Canada
,
Program Chairs:
Gráinne Conole
Open University, UK
,
Dragan Gašević
Athabasca University, Canada

Copyright © 2011 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]

Sponsors

Gates: Bill & Melinda Gates Foundation
TEKRI: Technology-Enhanced Knowledge Research Institute
Kaplan: Kaplan Ventures
Desire2Learn: Desire2Learn Inc.
University of Queensland: University of Queensland

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 February 2011

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LAK 2011

Sponsor:

Gates
TEKRI
Kaplan
Desire2Learn
University of Queensland

LAK 2011: 1st International Conference on Learning Analytics and Knowledge

February 27 - March 1, 2011

Alberta, Banff, Canada

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Overall Acceptance Rate 236 of 782 submissions, 30%

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Cited By

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Stoyanov SKirschner P(2023)Text analytics for uncovering untapped ideas at the intersection of learning design and learning analytics: Critical interpretative synthesisJournal of Computer Assisted Learning10.1111/jcal.1277539:3(899-920)Online publication date: 9-Jan-2023
https://doi.org/10.1111/jcal.12775
M. SS. K(2023)A novel approach to predict competency and the hidden risk factor by using various machine learning classifiersAutomatika10.1080/00051144.2023.220034764:3(550-564)Online publication date: 17-Apr-2023
https://doi.org/10.1080/00051144.2023.2200347
Carow SSchmitz PPretorius R(2023)Spatial perspectives on student profiling to inform open distance e-learning (ODeL) in various geographical contexts: a case study from the Global SouthDiscover Sustainability10.1007/s43621-023-00143-94:1Online publication date: 26-Jun-2023
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