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The relational, co-temporal, contemporaneous, and longitudinal dynamics of self-regulation for academic writing

Authors :
Mohammed Saqr
Ward Peeters
Olga Viberg
Source :
Research and Practice in Technology Enhanced Learning, Vol 16, Iss 1, Pp 1-22 (2021)
Publication Year :
2021
Publisher :
The Asia-Pacific Society for Computers in Education (APSCE), 2021.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
17937078 and 04448979
Volume :
16
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Research and Practice in Technology Enhanced Learning
Publication Type :
Academic Journal
Accession number :
edsdoj.9b0680c1a6b044489798e26906fc43d6
Document Type :
article
Full Text :
https://doi.org/10.1186/s41039-021-00175-7