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Neuroanatomy of the spinal pathways: Evaluation of an interactive multimedia e-learning resource

  • Anglia Ruskin University

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: A diminished number of young doctors opt for specialty neurology training and show reduced confidence in managing neurology patients and interlink difficulties in managing neurology patients with impaired understanding of neuroanatomy and associated clinical correlates.

Aim: To evaluate an interactive e-resource for the neuroanatomy of the spinal pathways based on cognitive theories of multimedia learning in aiding medical students learn neuroanatomy.

Methods: Using a single-blinded controlled experimental design, knowledge of the spinal pathways was assessed prior and after usage of the novel e-resource compared to control web resource. The perceived usefulness of the tool used was gauged using Likert-scale questionnaires.

Results: Performance in the second assessment improved for all users but the learning gain of participants in the experimental groups was higher compared to participants who did not use e-resources. Likert-scale ratings revealed a significantly higher appreciation for the novel tool compared to the control tool when learning clinical correlates.

Conclusions: Stronger correlations between the students’ perception of the tool used and their second assessment scores suggest that students favored the instructional design of the novel e-tool which shows promising results in bridging the gap between neuroanatomy knowledge and its clinical application.
Original languageEnglish
Pages (from-to)1-23
JournalMedEdPublish
DOIs
Publication statusPublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • Likert scale
  • Neuroanatomy
  • Resource (disambiguation)
  • Perception
  • Cognition
  • Psychology
  • Multimedia
  • Medical education
  • Medicine
  • Computer science
  • Neuroscience
  • Developmental psychology
  • Computer network

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