The utility of adaptive eLearning in cervical cytopathology education

Cancer Cytopathol. 2018 Feb;126(2):129-135. doi: 10.1002/cncy.21942. Epub 2017 Oct 20.

Abstract

Background: Adaptive eLearning allows students to experience a self-paced, individualized curriculum based on prior knowledge and learning ability.

Methods: The authors investigated the effectiveness of adaptive online modules in teaching cervical cytopathology. eLearning modules were created that covered basic concepts in cervical cytopathology, including artifacts and infections, squamous lesions (SL), and glandular lesions (GL). The modules used student responses to individualize the educational curriculum and provide real-time feedback. Pathology trainees and faculty from the authors' institution were randomized into 2 groups (SL or GL), and identical pre-tests and post-tests were used to compare the efficacy of eLearning modules versus traditional study methods (textbooks and slide sets). User experience was assessed with a Likert scale and free-text responses.

Results: Sixteen of 17 participants completed the SL module, and 19 of 19 completed the GL module. Participants in both groups had improved post-test scores for content in the adaptive eLearning module. Users indicated that the module was effective in presenting content and concepts (Likert scale [from 1 to 5], 4.3 of 5.0), was an efficient and convenient way to review the material (Likert scale, 4.4 of 5.0), and was more engaging than lectures and texts (Likert scale, 4.6 of 5.0). Users favored the immediate feedback and interactivity of the module. Limitations included the inability to review prior content and slow upload time for images. Learners demonstrated improvement in their knowledge after the use of adaptive eLearning modules compared with traditional methods.

Conclusions: Overall, the modules were viewed positively by participants. Adaptive eLearning modules can provide an engaging and effective adjunct to traditional teaching methods in cervical cytopathology. Cancer Cytopathol 2018;126:129-35. © 2017 American Cancer Society.

Keywords: Smart Sparrow; adaptive learning; cytopathology education; eLearning; web-based learning.

Publication types

  • Comparative Study

MeSH terms

  • Academic Performance / statistics & numerical data
  • Cervix Uteri / pathology*
  • Computer-Assisted Instruction / methods*
  • Cross-Over Studies
  • Curriculum
  • Cytodiagnosis / methods
  • Education, Medical, Graduate / methods*
  • Faculty / statistics & numerical data
  • Female
  • Humans
  • Internship and Residency / methods
  • Internship and Residency / statistics & numerical data
  • Learning
  • Male
  • Pathology / education*
  • Program Evaluation
  • Random Allocation
  • Students, Medical / statistics & numerical data
  • Surveys and Questionnaires / statistics & numerical data
  • Uterine Cervical Neoplasms / diagnosis*
  • Uterine Cervical Neoplasms / pathology