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Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Does Regularity Captured in an LMS Relate to Students' Performance in Courses of an Online Degree Program? A Case Study

Authors: Dogaru, Teodora; Merceron, Agathe; Fröhlich, Julian; Sauer, Petra;

Does Regularity Captured in an LMS Relate to Students' Performance in Courses of an Online Degree Program? A Case Study

Abstract

In this paper, we consider an online study program that isattended by students who mostly work full-time and therefore studypart-time. We investigate whether relationships can be found betweenstudents’ interactions in online courses of this program and their performancein courses. Though the study program and the courses are bothonline, their delivery through the learning management system (LMS)Moodle has not been designed to store comprehensive student interactionsautomatically. Therefore, we investigated whether the weekly regularityof students in the LMS is correlated to their performance in thecourse. Weekly regularity has been introduced in the context of MOOCs(Massive Open Online Courses) in [5]. We obtained inconclusive results.In only a few courses we could find a strong or moderate correlation. Weconjecture that this might be due to two factors: the limitation of ourdataset and the fact that, in the context of an online degree program,successful students do not necessarily access the learning material on aregular weekly basis.

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Keywords

Regularity, Online Degree Program, Student Performance, Analysis of Moodle Log Data, Learning Management Systems, Online Course

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green