Investigating the Relationships Between Online Activity, Learning Strategies and Grades to Create Learning Analytics-Supported Learning Designs

Marcel Schmitz*, Maren Scheffel, Evelien van Limbeek, Nicolette van Halem, Ilja Cornelisz, Chris van Klaveren, Roger Bemelmans, Hendrik Drachsler

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

Learning analytics offers the opportunity to collect, analyse and visualise feedback on learning activities using authentic data in real-time. The REFLECTOR project was used to investigate whether there are correlations between students learning strategies, their online activity and their grades. Information about the learning strategies was obtained using the Motivated Strategies for Learning Questionnaire. The grades and the online activity of students for two pilot courses was collected from the log data of the learning management system. Analysis of the collected data showed that there are moderate correlations to be found, for instance between metacognitive self-regulation, documents that are related to planning and grades. The pilot sessions taught us that there are practical issues with regards to data storage location as well as data security that need to be taken into account when learning analytics is integrated into existing learning designs. Overall, the project results show that a close relationship between learning analytics and the learning design of courses is urgently needed to make learning analytics effective.

Original languageEnglish
Title of host publicationLifelong Technology-Enhanced Learning
Subtitle of host publication13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Proceedings
EditorsRaymond Elferink, Hendrik Drachsler, Viktoria Pammer-Schindler, Mar Perez-Sanagustin, Maren Scheffel
PublisherSpringer/Verlag
Pages311-325
Number of pages15
ISBN (Electronic)9783319985725
ISBN (Print)9783319985718
DOIs
Publication statusPublished - 2018
Event13th European Conference on Technology Enhanced Learning, EC-TEL 2018 - Leeds, United Kingdom
Duration: 3 Sept 20186 Sept 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11082 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th European Conference on Technology Enhanced Learning, EC-TEL 2018
Country/TerritoryUnited Kingdom
CityLeeds
Period3/09/186/09/18

Keywords

  • Correlations
  • Grades
  • Learning analytics
  • Learning design
  • Learning strategies
  • Online activity
  • Pilot study

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