Human‐Centred Learning Analytics: 2019–24.

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Title: Human‐Centred Learning Analytics: 2019–24.
Authors: Buckingham Shum, Simon1 (AUTHOR) simon.buckinghamshum@uts.edu.au, Martínez‐Maldonado, Roberto2 (AUTHOR), Dimitriadis, Yannis3 (AUTHOR), Santos, Patricia4 (AUTHOR)
Source: British Journal of Educational Technology. May2024, Vol. 55 Issue 3, p755-768. 14p.
Subject Terms: *Research personnel, *Learning analytics, Human-computer interaction
Abstract: Human‐Centred Learning Analytics (HCLA) has emerged in the last 5 years as an active sub‐topic within Learning Analytics, drawing primarily on the theories and methods of Human‐Computer Interaction (HCI). HCLA researchers and practitioners are adopting and adapting HCI theories/methods to meet the challenge of meaningfully engaging educational stakeholders in the LA design process, evaluating systems in use and researching the sociotechnical factors influencing LA successes and failures. This editorial introduces the contributions of the papers in this special section, reflects more broadly on the field's emergence over the last five years, considers known gaps and indicates new opportunities that may open in the next five years. [ABSTRACT FROM AUTHOR]
Copyright of British Journal of Educational Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Human‐Centred Learning Analytics: 2019–24.
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  Data: <searchLink fieldCode="JN" term="%22British+Journal+of+Educational+Technology%22">British Journal of Educational Technology</searchLink>. May2024, Vol. 55 Issue 3, p755-768. 14p.
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  Data: *<searchLink fieldCode="DE" term="%22Research+personnel%22">Research personnel</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning+analytics%22">Learning analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink>
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  Data: Human‐Centred Learning Analytics (HCLA) has emerged in the last 5 years as an active sub‐topic within Learning Analytics, drawing primarily on the theories and methods of Human‐Computer Interaction (HCI). HCLA researchers and practitioners are adopting and adapting HCI theories/methods to meet the challenge of meaningfully engaging educational stakeholders in the LA design process, evaluating systems in use and researching the sociotechnical factors influencing LA successes and failures. This editorial introduces the contributions of the papers in this special section, reflects more broadly on the field's emergence over the last five years, considers known gaps and indicates new opportunities that may open in the next five years. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of British Journal of Educational Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/bjet.13442
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      – Code: eng
        Text: English
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        PageCount: 14
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      – SubjectFull: Research personnel
        Type: general
      – SubjectFull: Learning analytics
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      – SubjectFull: Human-computer interaction
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      – TitleFull: Human‐Centred Learning Analytics: 2019–24.
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              Text: May2024
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