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Student Online Activity in Blended Learning

A Learning Analytics Perspective of Professional Teacher Education Studies in Finland

Bibliographic Data

ID3317853
AuthorsA O Salonen (0000-0002-2614-3734, University of Eastern Finland), Annukka Tapani (0000-0001-6274-7028, Tampere University of Applied Sciences, corresponding author), Sami Suhonen (0000-0002-3279-3813, Tampere University of Applied Sciences)
Year2021
Volume11
Issue4
Publication date2021-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/21582440211056612
OpenAlexW3208881195
LanguageEN
Citations received1
References cited26

Distance learning is rapidly gaining ground globally. In this case study, we focused on professional (vocational) teacher education (PTE) student online activity in a blended learning context. We applied learning analytics (LA) to identify students' ( n = 19) online study patterns. Our key interest was in determining when and what kinds of online activity and behavior PTE students engage in during their studies. We applied quantitative content analysis to analyze the students' behavior. Moodle's event log enabled us to identify active hours and days, variation in use of learning materials, the impact of interventions, and stumbling blocks to student learning in the study unit. Based on our data, educator availability is an essential factor for good student engagement in digital learning environments. Interaction forums are important for PTE students effective learning. Monday and Tuesday afternoons are the most effective times for educators to be available for PTE students. There is a clear need for contact learning in professional teacher education, even when operating in digital learning environments. It plays an essential role in keeping students' activity alive. It could be beneficial to plan a post-process for students who do not graduate as planned, including regular group meetings for supporting studies, receiving guidance, and meeting peers. PTE students' behavior in a distance learning environment in the context of blended learning follows Zipf's law, which models the occurrence of distinct objects in particular sorts of collections

Analytics · Blended Learning · Data science · Educational technology · Learning analytics · Learning environment · Mathematics education · Pedagogy · Professional learning community · Virtual learning environment · Computer Science · Innovative Teaching and Learning Methods · Online and Blended Learning · Online Learning and Analytics · Psychology · Artificial Intelligence

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Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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