Agent-based models to support bioscience learning in nursing education

Ilana Dubovi, Victor R. Lee

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


This paper reports on a project to support bioscience learning of pharmacology in the undergraduate nursing curriculum. We designed an agent-based learning environment that represents the pharmacokinetic and pharmacodynamic processes in pharmacology. To evaluate nursing students learning with the proposed agent-based environment, we conducted a quasi-experimental study. The results revealed that nursing students who learned with the agent-based environment gained significantly higher conceptual knowledge within the key concepts of pharmacology comparing to students who learned via lecture-based curriculum. These findings suggest an advantage with implementing explanatory agent-based models that point out the essential mechanisms underlying pharmacological phenomena in nursing education.

Original languageEnglish
Pages (from-to)1057-1060
Number of pages4
JournalProceedings of International Conference of the Learning Sciences, ICLS
Issue number2018-June
StatePublished - 1 Jan 2018
Externally publishedYes
Event13th International Conference of the Learning Sciences, ICLS 2018: Rethinking Learning in the Digital Age: Making the Learning Sciences Count - London, United Kingdom
Duration: 23 Jun 201827 Jun 2018

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education


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