Digital interactive learning of oral radiographic anatomy

Eur J Dent Educ. 2012 Feb;16(1):e79-87. doi: 10.1111/j.1600-0579.2011.00679.x. Epub 2011 Feb 17.

Abstract

Introduction: Studies reporting high number of diagnostic errors made from radiographs suggest the need to improve the learning of radiographic interpretation in the dental curriculum. Given studies that show student preference for computer-assisted or digital technologies, the purpose of this study was to develop an interactive digital tool and to determine whether it was more successful than a conventional radiology textbook in assisting dental students with the learning of radiographic anatomy.

Materials and methods: Eighty-eight dental students underwent a learning phase of radiographic anatomy using an interactive digital tool alongside a conventional radiology textbook. The success of the digital tool, when compared to the textbook, was assessed by quantitative means using a radiographic interpretation test and by qualitative means using a structured Likert scale survey, asking students to evaluate their own learning outcomes from the digital tool.

Results: Student evaluations of the digital tool showed that almost all participants (95%) indicated that the tool positively enhanced their learning of radiographic anatomy and interpretation.

Discussion: The success of the digital tool in assisting the learning of radiographic interpretation is discussed in the broader context of learning and teaching curricula, and preference (by students) for the use of this digital form when compared to the conventional literate form of the textbook.

Conclusion: Whilst traditional textbooks are still valued in the dental curriculum, it is evident that the preference for computer-assisted learning of oral radiographic anatomy enhances the learning experience by enabling students to interact and better engage with the course material.

MeSH terms

  • Adult
  • Computer-Assisted Instruction / methods*
  • Curriculum
  • Education, Dental / methods*
  • Educational Measurement
  • Female
  • Humans
  • Male
  • Radiography, Dental*
  • Radiology / education*
  • Random Allocation
  • Software