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Measuring the Data Agency of Pre-Service Teachers: A Six-Factor Model

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Title: Measuring the Data Agency of Pre-Service Teachers: A Six-Factor Model
Language: English
Authors: Teemu Valtonen (ORCID 0000-0002-1803-9865), Henriikka Vartiainen (ORCID 0000-0001-6005-907X), Eliisa Vähä (ORCID 0009-0007-0788-9518), Jari Kukkonen (ORCID 0000-0002-9448-4784), Erkko Sointu (ORCID 0000-0003-4001-7264), Juho Kahila (ORCID 0000-0002-9913-0627), Matti Tedre (ORCID 0000-0003-1037-3313)
Source: Informatics in Education. 2026 25(1):201-221.
Availability: Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
Peer Reviewed: Y
Page Count: 21
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Data Use, Preservice Teachers, Personal Autonomy, Measures (Individuals), Foreign Countries, Self Evaluation (Individuals), Test Construction, Student Attitudes, Psychometrics, Universities
Geographic Terms: Finland
ISSN: 1648-5831
2335-8971
Abstract: This article examines pre-service teachers' data agency, defined as the ability to act according to one's own values and goals rather than being directed by algorithmic systems. Data agency involves understanding how computational systems, such as algorithms, data-driven profiling, and platform infrastructures, collect, process, and use data, and how these practices shape individuals and society. This article introduces a self-assessment instrument developed to measure data agency and applies it to a sample of 163 Finnish pre-service teachers. The findings show that pre-service teachers evaluated their competencies across different dimensions of data agency rather cautiously. The study highlights the importance of strengthening future teachers' understanding of the mechanisms behind algorithmic and data-driven decision-making. Such knowledge is increasingly essential for preparing future teachers to address challenges related to datafication, including commercial data collection and algorithmic influencing in contemporary education.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1506551
Database: ERIC
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  Data: Measuring the Data Agency of Pre-Service Teachers: A Six-Factor Model
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  Data: <searchLink fieldCode="AR" term="%22Teemu+Valtonen%22">Teemu Valtonen</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1803-9865">0000-0002-1803-9865</externalLink>)<br /><searchLink fieldCode="AR" term="%22Henriikka+Vartiainen%22">Henriikka Vartiainen</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-6005-907X">0000-0001-6005-907X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Eliisa+Vähä%22">Eliisa Vähä</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0007-0788-9518">0009-0007-0788-9518</externalLink>)<br /><searchLink fieldCode="AR" term="%22Jari+Kukkonen%22">Jari Kukkonen</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-9448-4784">0000-0002-9448-4784</externalLink>)<br /><searchLink fieldCode="AR" term="%22Erkko+Sointu%22">Erkko Sointu</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-4001-7264">0000-0003-4001-7264</externalLink>)<br /><searchLink fieldCode="AR" term="%22Juho+Kahila%22">Juho Kahila</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-9913-0627">0000-0002-9913-0627</externalLink>)<br /><searchLink fieldCode="AR" term="%22Matti+Tedre%22">Matti Tedre</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-1037-3313">0000-0003-1037-3313</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Informatics+in+Education%22"><i>Informatics in Education</i></searchLink>. 2026 25(1):201-221.
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  Data: Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
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  Data: <searchLink fieldCode="DE" term="%22Data+Use%22">Data Use</searchLink><br /><searchLink fieldCode="DE" term="%22Preservice+Teachers%22">Preservice Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+Autonomy%22">Personal Autonomy</searchLink><br /><searchLink fieldCode="DE" term="%22Measures+%28Individuals%29%22">Measures (Individuals)</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Evaluation+%28Individuals%29%22">Self Evaluation (Individuals)</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Construction%22">Test Construction</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Universities%22">Universities</searchLink>
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  Data: This article examines pre-service teachers' data agency, defined as the ability to act according to one's own values and goals rather than being directed by algorithmic systems. Data agency involves understanding how computational systems, such as algorithms, data-driven profiling, and platform infrastructures, collect, process, and use data, and how these practices shape individuals and society. This article introduces a self-assessment instrument developed to measure data agency and applies it to a sample of 163 Finnish pre-service teachers. The findings show that pre-service teachers evaluated their competencies across different dimensions of data agency rather cautiously. The study highlights the importance of strengthening future teachers' understanding of the mechanisms behind algorithmic and data-driven decision-making. Such knowledge is increasingly essential for preparing future teachers to address challenges related to datafication, including commercial data collection and algorithmic influencing in contemporary education.
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  Data: 2026
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  Data: EJ1506551
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    Languages:
      – Text: English
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      Pagination:
        PageCount: 21
        StartPage: 201
    Subjects:
      – SubjectFull: Data Use
        Type: general
      – SubjectFull: Preservice Teachers
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      – SubjectFull: Personal Autonomy
        Type: general
      – SubjectFull: Measures (Individuals)
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      – SubjectFull: Foreign Countries
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      – SubjectFull: Universities
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      – SubjectFull: Finland
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