Improving Learning Design Using Learning Analytics in Relation to Study Experience

In higher education, the learner-centered approach faces challenges due to the growing number and diversity of students and the increasing complexity of course delivery. Study experiences, which correlate with academic achievement, may be enhanced through learning analytics. In particular, analytic...

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Main Authors: Satu Aksovaara, Sami Määttä, Tommi Kärkkäinen, Minna Silvennoinen
Format: Article
Language:English
Published: Inland Norway University of Applied Sciences 2024-12-01
Series:Seminar.net
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Online Access:https://journals.oslomet.no/index.php/seminar/article/view/5722
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author Satu Aksovaara
Sami Määttä
Tommi Kärkkäinen
Minna Silvennoinen
author_facet Satu Aksovaara
Sami Määttä
Tommi Kärkkäinen
Minna Silvennoinen
author_sort Satu Aksovaara
collection DOAJ
description In higher education, the learner-centered approach faces challenges due to the growing number and diversity of students and the increasing complexity of course delivery. Study experiences, which correlate with academic achievement, may be enhanced through learning analytics. In particular, analytics can offer valuable, timely insights by collecting and analyzing data on the study experiences and student-related metrics. This allows teachers to gain understanding of students' psychological qualities, which are not typically inferred from standard learning management systems. Our case study aims to demonstrate how the practical application of learning analytics (LA)-generated data on students’ psychological qualities can guide teachers in enhancing their instructional delivery and, consequently, enhance student experiences. Initially, we assess the reliability of data concerning students’ psychological traits and study experiences. Subsequently, we explore whether these data can provide insights for teachers that can lead to improved student experiences. Student experiences across two consecutive course implementations are compared to illustrate the potential of LA in informing teachers. The results show that data can be collected reliably on students' daily academic activities and emotional states during the teamwork week. Preliminary findings from the spring term are shared with teachers, which indicate that the use of LA data can positively influence student experiences without requiring structural changes to instructional materials or course implementation. Although the study is not experimental, it provides valuable insights into specific methods of applying LA to inform teachers and enhance student experiences. Further research is needed to deepen the understanding of these applications.
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spelling doaj-art-df01b69cc9da4bc98e6f02fb0d2a23c72025-08-20T01:57:04ZengInland Norway University of Applied SciencesSeminar.net1504-48312024-12-0120210.7577/seminar.5722Improving Learning Design Using Learning Analytics in Relation to Study ExperienceSatu Aksovaara0Sami Määttä1Tommi Kärkkäinen2Minna Silvennoinen3Jamk University of Applied SciencesTampere UniversityUniversity of JyväskyläJamk University of Applied Sciences In higher education, the learner-centered approach faces challenges due to the growing number and diversity of students and the increasing complexity of course delivery. Study experiences, which correlate with academic achievement, may be enhanced through learning analytics. In particular, analytics can offer valuable, timely insights by collecting and analyzing data on the study experiences and student-related metrics. This allows teachers to gain understanding of students' psychological qualities, which are not typically inferred from standard learning management systems. Our case study aims to demonstrate how the practical application of learning analytics (LA)-generated data on students’ psychological qualities can guide teachers in enhancing their instructional delivery and, consequently, enhance student experiences. Initially, we assess the reliability of data concerning students’ psychological traits and study experiences. Subsequently, we explore whether these data can provide insights for teachers that can lead to improved student experiences. Student experiences across two consecutive course implementations are compared to illustrate the potential of LA in informing teachers. The results show that data can be collected reliably on students' daily academic activities and emotional states during the teamwork week. Preliminary findings from the spring term are shared with teachers, which indicate that the use of LA data can positively influence student experiences without requiring structural changes to instructional materials or course implementation. Although the study is not experimental, it provides valuable insights into specific methods of applying LA to inform teachers and enhance student experiences. Further research is needed to deepen the understanding of these applications. https://journals.oslomet.no/index.php/seminar/article/view/5722Learning analyticslearning designstudy experiencehigher educationstudent-generated data
spellingShingle Satu Aksovaara
Sami Määttä
Tommi Kärkkäinen
Minna Silvennoinen
Improving Learning Design Using Learning Analytics in Relation to Study Experience
Seminar.net
Learning analytics
learning design
study experience
higher education
student-generated data
title Improving Learning Design Using Learning Analytics in Relation to Study Experience
title_full Improving Learning Design Using Learning Analytics in Relation to Study Experience
title_fullStr Improving Learning Design Using Learning Analytics in Relation to Study Experience
title_full_unstemmed Improving Learning Design Using Learning Analytics in Relation to Study Experience
title_short Improving Learning Design Using Learning Analytics in Relation to Study Experience
title_sort improving learning design using learning analytics in relation to study experience
topic Learning analytics
learning design
study experience
higher education
student-generated data
url https://journals.oslomet.no/index.php/seminar/article/view/5722
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