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The relational, co-temporal, contemporaneous, and longitudinal dynamics of self-regulation for academic writing
Univ Eastern Finland, Sch Comp, Joensuu Campus,Vliopistokatu 2,POB 111, Joensuu 80101, Finland..
Univ Antwerp, Prinsstr 13, B-2000 Antwerp, Belgium.;Kanda Univ Int Studies, Mihama Ward, 1 Chome 4-1 Wakaba, Chiba 2610014, Japan..
KTH, Skolan för elektroteknik och datavetenskap (EECS), Människocentrerad teknologi, Medieteknik och interaktionsdesign, MID.ORCID-id: 0000-0002-8543-3774
2021 (Engelska)Ingår i: RESEARCH AND PRACTICE IN TECHNOLOGY ENHANCED LEARNING, ISSN 1793-7078, Vol. 16, nr 1, artikel-id 29Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Writing in an academic context often requires students in higher education to acquire a new set of skills while familiarising themselves with the goals, objectives and requirements of the new learning environment. Students' ability to continuously self-regulate their writing process, therefore, is seen as a determining factor in their learning success. In order to study students' self-regulated learning (SRL) behaviour, research has increasingly been tapping into learning analytics (LA) methods in recent years, making use of multimodal trace data that can be obtained from students writing and working online. Nevertheless, little is still known about the ways students apply and govern SRL processes for academic writing online, and about how their SRL behaviour might change over time. To provide new perspectives on the use of LA approaches to examine SRL, this study applied a range of methods to investigate what they could tell us about the evolution of SRL tactics and strategies on a relational, co-temporal, contemporaneous and longitudinal level. The data originates from a case study in which a private Facebook group served as an online collaboration space in a first-year academic writing course for foreign language majors of English. The findings show that learners use a range of SRL tactics to manage their writing tasks and that different tactic can take up key positions in this process over time. Several shifts could be observed in students' behaviour, from mainly addressing content-specific topics to more form-specific and social ones. Our results have also demonstrated that different methods can be used to study the relational, co-temporal, contemporaneous, and longitudinal dynamics of self-regulation in this regard, demonstrating the wealth of insights LA methods can bring to the table.

Ort, förlag, år, upplaga, sidor
Springer Nature , 2021. Vol. 16, nr 1, artikel-id 29
Nyckelord [en]
Academic writing, Self-regulated learning, Learning analytics, Social network analysis, Temporal networks, Process mining, Sequence mining, Epistemic network analysis
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Utbildningsvetenskap
Identifikatorer
URN: urn:nbn:se:kth:diva-304705DOI: 10.1186/s41039-021-00175-7ISI: 000710955500001Scopus ID: 2-s2.0-85117805598OAI: oai:DiVA.org:kth-304705DiVA, id: diva2:1610283
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QC 20211110

Tillgänglig från: 2021-11-10 Skapad: 2021-11-10 Senast uppdaterad: 2025-02-18Bibliografiskt granskad

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Viberg, Olga

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