Employing learning analytics for monitoring student learning pathways during Problem-Based Learning group-based group work: a novel approach

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Resumé

Learning Analytics (LA) aims to improve the learning process by analysing learning data, and communicating the results of this analysis to both educators and learners. LA has been employed in a few cases for improving PBL group work but the literature has yet to discuss in detail the incorporation and potential of LA in this context. In this paper, we describe our approach that aims at developing a platform employing LA for monitoring students’ learning pathways during Problem-Based Learning (PBL) group work. The platform is developed in Moodle, and it provides a communication and information channel between project supervisors and students, and between students belonging in the same group. Moreover, the platform provides ways for student groups to better manage their projects, and at the same time enables project supervisors to follow groups’ progress during the semester. The platform is also used as a place, where students hand-in assignments that are related to their project work and report their status in the project. In this platform, we employ various LA tools offered by Moodle in order to monitor both group and individual student activity. Such tools provide learning data on individual student engagement and activity within the platform, generic statistics on the use of the platform, and insights into the exchange of information in the platform. In this paper, we present the functionality of the various modules that build up this platform, and discuss the type of learning data generated and the methods to analyse this data. We conclude this paper with a discussion on the benefits and the limitations of this approach.
OriginalsprogEngelsk
Titel7th International Research Symposium on PBL : Innovation, PBL and Competences in Engineering Education
RedaktørerWang Sunyu, Anette Kolmos, Aida Guerra, Qiao Weifeng
Udgivelses stedAalborg, Danmark
ForlagAalborg Universitetsforlag
Publikationsdato2018
Sider542-551
ISBN (Trykt)978-87-7210-002-9
StatusUdgivet - 2018
Begivenhed7th International Research Symposium on PBL: Innovation, PBL and Competences in Engineering Education - Beijing, Kina
Varighed: 19 okt. 201821 okt. 2018

Konference

Konference7th International Research Symposium on PBL
LandKina
ByBeijing
Periode19/10/201821/10/2018
NavnInternational Research Symposium on PBL
ISSN2446-3833

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Students
Monitoring
Supervisory personnel
Problem-Based Learning
Statistics
Communication

Citer dette

Triantafyllou, E., Xylakis, E., Nilsson, N. C., & Timcenko, O. (2018). Employing learning analytics for monitoring student learning pathways during Problem-Based Learning group-based group work: a novel approach. I W. Sunyu, A. Kolmos, A. Guerra, & Q. Weifeng (red.), 7th International Research Symposium on PBL : Innovation, PBL and Competences in Engineering Education (s. 542-551). Aalborg, Danmark: Aalborg Universitetsforlag. International Research Symposium on PBL
Triantafyllou, Evangelia ; Xylakis, Emmanouil ; Nilsson, Niels Christian ; Timcenko, Olga. / Employing learning analytics for monitoring student learning pathways during Problem-Based Learning group-based group work : a novel approach. 7th International Research Symposium on PBL : Innovation, PBL and Competences in Engineering Education. red. / Wang Sunyu ; Anette Kolmos ; Aida Guerra ; Qiao Weifeng. Aalborg, Danmark : Aalborg Universitetsforlag, 2018. s. 542-551 (International Research Symposium on PBL).
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title = "Employing learning analytics for monitoring student learning pathways during Problem-Based Learning group-based group work: a novel approach",
abstract = "Learning Analytics (LA) aims to improve the learning process by analysing learning data, and communicating the results of this analysis to both educators and learners. LA has been employed in a few cases for improving PBL group work but the literature has yet to discuss in detail the incorporation and potential of LA in this context. In this paper, we describe our approach that aims at developing a platform employing LA for monitoring students’ learning pathways during Problem-Based Learning (PBL) group work. The platform is developed in Moodle, and it provides a communication and information channel between project supervisors and students, and between students belonging in the same group. Moreover, the platform provides ways for student groups to better manage their projects, and at the same time enables project supervisors to follow groups’ progress during the semester. The platform is also used as a place, where students hand-in assignments that are related to their project work and report their status in the project. In this platform, we employ various LA tools offered by Moodle in order to monitor both group and individual student activity. Such tools provide learning data on individual student engagement and activity within the platform, generic statistics on the use of the platform, and insights into the exchange of information in the platform. In this paper, we present the functionality of the various modules that build up this platform, and discuss the type of learning data generated and the methods to analyse this data. We conclude this paper with a discussion on the benefits and the limitations of this approach.",
author = "Evangelia Triantafyllou and Emmanouil Xylakis and Nilsson, {Niels Christian} and Olga Timcenko",
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Triantafyllou, E, Xylakis, E, Nilsson, NC & Timcenko, O 2018, Employing learning analytics for monitoring student learning pathways during Problem-Based Learning group-based group work: a novel approach. i W Sunyu, A Kolmos, A Guerra & Q Weifeng (red), 7th International Research Symposium on PBL : Innovation, PBL and Competences in Engineering Education. Aalborg Universitetsforlag, Aalborg, Danmark, International Research Symposium on PBL, s. 542-551, 7th International Research Symposium on PBL, Beijing, Kina, 19/10/2018.

Employing learning analytics for monitoring student learning pathways during Problem-Based Learning group-based group work : a novel approach. / Triantafyllou, Evangelia; Xylakis, Emmanouil; Nilsson, Niels Christian; Timcenko, Olga.

7th International Research Symposium on PBL : Innovation, PBL and Competences in Engineering Education. red. / Wang Sunyu; Anette Kolmos; Aida Guerra; Qiao Weifeng. Aalborg, Danmark : Aalborg Universitetsforlag, 2018. s. 542-551.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Employing learning analytics for monitoring student learning pathways during Problem-Based Learning group-based group work

T2 - a novel approach

AU - Triantafyllou, Evangelia

AU - Xylakis, Emmanouil

AU - Nilsson, Niels Christian

AU - Timcenko, Olga

PY - 2018

Y1 - 2018

N2 - Learning Analytics (LA) aims to improve the learning process by analysing learning data, and communicating the results of this analysis to both educators and learners. LA has been employed in a few cases for improving PBL group work but the literature has yet to discuss in detail the incorporation and potential of LA in this context. In this paper, we describe our approach that aims at developing a platform employing LA for monitoring students’ learning pathways during Problem-Based Learning (PBL) group work. The platform is developed in Moodle, and it provides a communication and information channel between project supervisors and students, and between students belonging in the same group. Moreover, the platform provides ways for student groups to better manage their projects, and at the same time enables project supervisors to follow groups’ progress during the semester. The platform is also used as a place, where students hand-in assignments that are related to their project work and report their status in the project. In this platform, we employ various LA tools offered by Moodle in order to monitor both group and individual student activity. Such tools provide learning data on individual student engagement and activity within the platform, generic statistics on the use of the platform, and insights into the exchange of information in the platform. In this paper, we present the functionality of the various modules that build up this platform, and discuss the type of learning data generated and the methods to analyse this data. We conclude this paper with a discussion on the benefits and the limitations of this approach.

AB - Learning Analytics (LA) aims to improve the learning process by analysing learning data, and communicating the results of this analysis to both educators and learners. LA has been employed in a few cases for improving PBL group work but the literature has yet to discuss in detail the incorporation and potential of LA in this context. In this paper, we describe our approach that aims at developing a platform employing LA for monitoring students’ learning pathways during Problem-Based Learning (PBL) group work. The platform is developed in Moodle, and it provides a communication and information channel between project supervisors and students, and between students belonging in the same group. Moreover, the platform provides ways for student groups to better manage their projects, and at the same time enables project supervisors to follow groups’ progress during the semester. The platform is also used as a place, where students hand-in assignments that are related to their project work and report their status in the project. In this platform, we employ various LA tools offered by Moodle in order to monitor both group and individual student activity. Such tools provide learning data on individual student engagement and activity within the platform, generic statistics on the use of the platform, and insights into the exchange of information in the platform. In this paper, we present the functionality of the various modules that build up this platform, and discuss the type of learning data generated and the methods to analyse this data. We conclude this paper with a discussion on the benefits and the limitations of this approach.

M3 - Article in proceeding

SN - 978-87-7210-002-9

SP - 542

EP - 551

BT - 7th International Research Symposium on PBL

A2 - Sunyu, Wang

A2 - Kolmos, Anette

A2 - Guerra, Aida

A2 - Weifeng, Qiao

PB - Aalborg Universitetsforlag

CY - Aalborg, Danmark

ER -

Triantafyllou E, Xylakis E, Nilsson NC, Timcenko O. Employing learning analytics for monitoring student learning pathways during Problem-Based Learning group-based group work: a novel approach. I Sunyu W, Kolmos A, Guerra A, Weifeng Q, red., 7th International Research Symposium on PBL : Innovation, PBL and Competences in Engineering Education. Aalborg, Danmark: Aalborg Universitetsforlag. 2018. s. 542-551. (International Research Symposium on PBL).