Diagnosing nursing students’ errors in medication calculation: Designing a method based on the 4 Cs teaching model for analysing mathematical proficiency

Birgitta Dahl, Tore Ståhl, Jarmo Malinen, Antti Rasila, Hannu Tiitu

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

Abstract

A novel method is proposed for classification of errors in medication calculation. The classification method is based on the pedagogical 4 Cs model for teaching mathematics to nursing students. The method is examined by an experiment where nine test subjects assess a corpus of 90 calculation errors from hand-written exams. The assessments are classified by the k-means clustering algorithm. It is observed that typically a single consensus cluster of five test subjects is formed, and there is no opposition cluster consisting more than one subject. Thus, the error classification by the proposed method seems promising, and further statistical validation will be carried out in future studies using larger data sets. The article is concluded by discussion of realising the classification method as an artificial intelligent software agent that is integrated to the existing e-learning environment STACK.
Original languageEnglish
Title of host publicationInteraktiivinen tekniikka koulutuksessa 2014-konferenssin tutkijatapaamisen artikkelit
EditorsJarmo Viteli, Anneli Östman
Place of PublicationTampere
PublisherTAMPEREEN YLIOPISTO
Pages82-92
Number of pages11
ISBN (Electronic)978-951-44-9561-8
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventInteraktiivinen tekniikka koulutuksessa -konferenssi: Tutkijatapaaminen - Aulanko, Hämeenlinna, Finland
Duration: 9 Apr 20149 Apr 2014

Publication series

NameTRIM Research Reports
PublisherTampereen yliopisto
Number12
ISSN (Electronic)1799-2141

Conference

ConferenceInteraktiivinen tekniikka koulutuksessa -konferenssi
CountryFinland
CityHämeenlinna
Period09/04/201409/04/2014

Keywords

  • 4 Cs
  • classification principle
  • error analysis
  • k-means
  • learning environment
  • mathematics education
  • medication calculation
  • nursing education
  • Sigma
  • STACK

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