International Online Team-Based Learning in Higher Education of Biomedicine - Evaluation by Learning Analytics

dc.contributor.authorMairinoja Laura
dc.contributor.authorLópez-Pernas Sonsoles
dc.contributor.authorElmoazen Ramy
dc.contributor.authorNiskanen Einari A.
dc.contributor.authorKuningas Tiina
dc.contributor.authorWärri Anni
dc.contributor.authorSaqr Mohammed
dc.contributor.authorStrauss Leena
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id179845309
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/179845309
dc.date.accessioned2025-08-27T22:32:28Z
dc.date.available2025-08-27T22:32:28Z
dc.description.abstract<p>Teamwork skills are important to practice during higher educational studies to prepare students for the future working life. Since online learning has established itself as a relevant part of higher education, we present here an approach to online team-based learning and show the performance of students during the teamwork, proven by learning analysis data. In addition, results from a feedback survey of students´ opinions on teamwork are presented. Online teamwork was implemented for master level biomedicine students from four different Universities in Nordic countries, and student interaction was evaluated. Learning analytics data were collected from Discord, which was the communication platform for students and teachers during the teamwork. The Community of Inquiry (CoI) framework was used as guidance, and indicators of CoI's social, cognitive, and teaching presences were used as a scheme for coding the interaction. To recognize the process of collaboration, the data were first analyzed by using process mining. Further, to understand the multidimensional property of collaboration, we developed a network analysis and visualized the results using Gephi and the Fruchterman-Reingold layout algorithm. The quantitative results of the feedback survey were analyzed by using descriptive statistics and visualized using the R package likert. The learning analytics data included 316 posts divided to 686 annotations, which were categorized to codes. Our results indicate that the most frequent codes were the ones related to the social dimension of CoI, determined with attributes such as ‘interactive’ (173), ‘cohesion’ (119) and ‘affective’ (116). The remaining most frequent codes alternated between ‘facilitation’ and ‘cognition’. Thus, social presence, in the context of CoI was considerable in our online team-based learning approach. However, to enhance students' cognitive presence, and thereby their ability to construct and confirm meaning of what they are learning, students' work should be facilitated by increasing teaching presence through teacher’s contribution online. In line with the learning analytics data, the results of the survey pointed out the need of more in-depth instructions on how to carry out the team exercises, which belongs to the teaching presence category in the frame of CoI. Based on the results of this study and the existing literature, we aim to improve our teambased learning approach and outcomes in the future by increasing students’ contribution through regular feedback assignments during the work and encouraging learners to reflect on their own work, contribution and thinking.</p>
dc.format.pagerange49
dc.format.pagerange60
dc.identifier.jour-issn1613-0073
dc.identifier.olddbid202344
dc.identifier.oldhandle10024/185371
dc.identifier.urihttps://www.utupub.fi/handle/11111/46684
dc.identifier.urlhttps://ceur-ws.org/Vol-3393/
dc.identifier.urnURN:NBN:fi-fe2025082785688
dc.language.isoen
dc.okm.affiliatedauthorMairinoja, Laura
dc.okm.affiliatedauthorWärri, Anni
dc.okm.affiliatedauthorStrauss, Leena
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline516 Educational sciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.discipline516 Kasvatustieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countryGermanyen_GB
dc.publisher.countrySaksafi_FI
dc.publisher.country-codeDE
dc.relation.conferenceTechnology-Enhanced Learning in Laboratories Workshop
dc.relation.ispartofjournalCEUR Workshop Proceedings
dc.relation.ispartofseriesCEUR Workshop Proceedings
dc.relation.volume3393
dc.source.identifierhttps://www.utupub.fi/handle/10024/185371
dc.titleInternational Online Team-Based Learning in Higher Education of Biomedicine - Evaluation by Learning Analytics
dc.title.bookProceedings of the Technology-Enhanced Learning in Laboratories workshop (TELL 2023), April 27, 2023, Online
dc.year.issued2023

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