research-article

Learn-B: a social analytics-enabled tool for self-regulated workplace learning

Authors:

Aleksandar Giljanović,

Marek HatalaAuthors Info & Claims

LAK '12: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge

Pages 115 - 119

https://doi.org/10.1145/2330601.2330632

Published: 29 April 2012 Publication History

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Abstract

In this design briefing, we introduce the Learn-B environment, our attempt in designing and implementing a research prototype to address some of the challenges inherent in workplace learning: the informal aspect of workplace learning requires knowledge workers to be supported in their self-regulatory learning (SRL) processes, whilst its social nature draws attention to the role of collective in those processes. Moreover, learning at workplace is contextual and on-demand, thus requiring organizations to recognize and motivate the learning and knowledge building activities of their employees, where individual learning goals are harmonized with those of the organization. In particular, we focus on the analytics-based features of Learn-B, illustrate their design and current implementation, and discuss how each of them is hypothesized to target the above challenges.

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Cited By

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Boulahmel ADjelil FSmits G(2025)Investigating Self-Regulated Learning Measurement Based on Trace Data: A Systematic Literature ReviewTechnology, Knowledge and Learning10.1007/s10758-025-09816-yOnline publication date: 18-Jan-2025
https://doi.org/10.1007/s10758-025-09816-y
Atabay MÇakiroğlu Ü(2023)Learners' Online Interactions and Their Self-Regulation Learning Skills From a Learning Analytics PerspectivePerspectives on Learning Analytics for Maximizing Student Outcomes10.4018/978-1-6684-9527-8.ch015(305-317)Online publication date: 24-Oct-2023
https://doi.org/10.4018/978-1-6684-9527-8.ch015
Álvarez RJivet IPérez-Sanagustín MScheffel MVerbert K(2022)Tools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic ReviewIEEE Transactions on Learning Technologies10.1109/TLT.2022.319327115:4(508-522)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1109/TLT.2022.3193271
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Index Terms

Learn-B: a social analytics-enabled tool for self-regulated workplace learning
1. Applied computing
  1. Education
    1. Collaborative learning
  2. Enterprise computing

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Published In

LAK '12: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge

April 2012

282 pages

ISBN:9781450311113

DOI:10.1145/2330601

Conference Chairs:
Shane Dawson
University of British Columbia, Canada
,
Caroline Haythornthwaite
University of British Columbia, Canada
,
Editors:
Simon Buckingham Shum,
Dragan Gasevic,
Rebecca Ferguson

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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Association for Computing Machinery

New York, NY, United States

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Published: 29 April 2012

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SIGWEB
TEKRI
Desire2Learn
EDUCAUSE
University of British Columbia

LAK 2012: Second International Conference on Learning Analytics and Knowledge

April 29 - May 2, 2012

British Columbia, Vancouver, Canada

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Boulahmel ADjelil FSmits G(2025)Investigating Self-Regulated Learning Measurement Based on Trace Data: A Systematic Literature ReviewTechnology, Knowledge and Learning10.1007/s10758-025-09816-yOnline publication date: 18-Jan-2025
https://doi.org/10.1007/s10758-025-09816-y
Atabay MÇakiroğlu Ü(2023)Learners' Online Interactions and Their Self-Regulation Learning Skills From a Learning Analytics PerspectivePerspectives on Learning Analytics for Maximizing Student Outcomes10.4018/978-1-6684-9527-8.ch015(305-317)Online publication date: 24-Oct-2023
https://doi.org/10.4018/978-1-6684-9527-8.ch015
Álvarez RJivet IPérez-Sanagustín MScheffel MVerbert K(2022)Tools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic ReviewIEEE Transactions on Learning Technologies10.1109/TLT.2022.319327115:4(508-522)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1109/TLT.2022.3193271
Chen XZou DXie H(2022)A decade of learning analytics: Structural topic modeling based bibliometric analysisEducation and Information Technologies10.1007/s10639-022-11046-z27:8(10517-10561)Online publication date: 18-Apr-2022
https://doi.org/10.1007/s10639-022-11046-z
Pathan RSingh DMurthy SRajendran R(2022)Identifying Metacognitive Processes Using Trace Data in an Open-Ended Problem-Solving Learning EnvironmentIntelligent Tutoring Systems10.1007/978-3-031-09680-8_21(213-226)Online publication date: 24-Jun-2022
https://doi.org/10.1007/978-3-031-09680-8_21
Endedijk MCuyvers K(2022)Self-Regulation of Professional Learning: Towards a New Era of ResearchResearch Approaches on Workplace Learning10.1007/978-3-030-89582-2_10(219-237)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-89582-2_10
Ruiz-Calleja APrieto LLey TRodriguez-Triana MDennerlein S(2021)Learning Analytics for Professional and Workplace Learning: A Literature ReviewIEEE Transactions on Learning Technologies10.1109/TLT.2021.309221914:3(353-366)Online publication date: 1-Jun-2021
https://doi.org/10.1109/TLT.2021.3092219
Antonio Perez-Alvarez RMaldonado-Mahauad JSharma KSapunar-Opazo DPerez-Sanagustin M(2020)Characterizing Learners’ Engagement in MOOCs: An Observational Case Study Using the NoteMyProgress Tool for Supporting Self-RegulationIEEE Transactions on Learning Technologies10.1109/TLT.2020.300322013:4(676-688)Online publication date: 1-Oct-2020
https://doi.org/10.1109/TLT.2020.3003220
Ranjeeth SLatchoumi TPaul P(2020)A Survey on Predictive Models of Learning AnalyticsProcedia Computer Science10.1016/j.procs.2020.03.180167(37-46)Online publication date: 2020
https://doi.org/10.1016/j.procs.2020.03.180
Hasanov ALaine TChung T(2019)A survey of adaptive context-aware learning environmentsJournal of Ambient Intelligence and Smart Environments10.3233/AIS-19053411:5(403-428)Online publication date: 12-Sep-2019
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Recommendations

Network awareness tool - learning analytics in the workplace: detecting and analyzing informal workplace learning

Measuring the impact of technological scaffolding interventions on micro-level processes of self-regulated workplace learning

Learning analytics for workplace and professional learning

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