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Idiographic learning analytics: A single student (N=1) approach using psychological networks
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID. University of Eastern Finland, Joensuu, Finland.ORCID iD: 0000-0001-5881-3109
2021 (English)In: CEUR Workshop Proceedings, CEUR-WS , 2021, p. 16-22Conference paper, Published paper (Refereed)
Abstract [en]

Recent findings in the field of learning analytics have brought to our attention that conclusions drawn from cross-sectional group-level data may not capture the dynamic processes that unfold within each individual learner. In this light, idiographic methods have started to gain grounds in many fields as a possible solution to examine students' behavior at the individual level by using several data points from each learner to create person-specific insights. In this study, we introduce such novel methods to the learning analytics field by exploring the possible potentials that one can gain from zooming in on the fine-grained dynamics of a single student. Specifically, we make use of Gaussian Graphical Models -an emerging trend in network science- to analyze a single student's dispositions and devise insights specific to him/her. The results of our study revealed that the student under examination may be in need to learn better self-regulation techniques regarding reflection and planning. 

Place, publisher, year, edition, pages
CEUR-WS , 2021. p. 16-22
Keywords [en]
Graphical Gaussian Models, Idiographic learning analytics, Network science, Psychological networks, Students, Dynamic process, Emerging trends, Fine grained, Gaussian graphical models, Individual levels, Novel methods, Self regulation, Students' behaviors, Learning systems
National Category
Computer Sciences Pedagogy
Identifiers
URN: urn:nbn:se:kth:diva-309643Scopus ID: 2-s2.0-85106944548OAI: oai:DiVA.org:kth-309643DiVA, id: diva2:1643229
Conference
2021 NetSciLA Workshop ""Using Network Science in Learning Analytics: Building Bridges towards a Common Agenda"", NetSciLA 2021, 12 April 2021
Note

QC 20220309

Available from: 2022-03-09 Created: 2022-03-09 Last updated: 2022-06-25Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf