The role of learning strategies for performance in mathematics courses for engineers

Research output: Journal contributionsConference article in journalResearchpeer-review

Authors

  • Michael Liebendörfer
  • Robin Göller
  • Lara Gildehaus
  • Jörg Kortemeyer
  • Rolf Biehler
  • Reinhard Hochmuth
  • Laura Ostsieker
  • Jana Rode
  • Niclas Schaper

We analyse the predictive power of learning strategies for engineering students’ performance in mathematics. Learning strategies play an important role in self-regulated learning. Based on a new learning strategy questionnaire that takes into account the specifics of mathematical learning at universities, we investigated what were the strategies that correlate with performance and predict future performance. We present data of a longitudinal study with N = 361 engineering students regressing their performance on students’ use of their learning strategies as well as their prior performance. The results indicate that practicing but not repeating the content and resisting frustration predict students’ performance. We discuss the findings with a specific view on what is tested and why some elaboration strategies might not be rewarded in exams.

Original languageEnglish
JournalInternational Journal of Mathematical Education in Science and Technology
Volume53
Issue number5
Pages (from-to)1133-1152
Number of pages20
ISSN0020-739X
DOIs
Publication statusPublished - 28.05.2022
EventConference of the International Network for Didactic Research in University Mathematics - University of Carthage, Bizerte, Tunisia
Duration: 27.03.202029.03.2020
Conference number: 3

Bibliographical note

Issue 5: Proceedings for the Third INDRUM2020 Conference of the International Network for Didactic Research in University Mathematics