Top concept networks of professional education reflections

Alyssa Friend Wise, Yi Cui

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This study explores the application of computational techniques to extract information about dental students' developing conceptions of their profession from digital reflective journal entries. Top concept networks were created for two cohorts of students at the beginning and end of their four-year program. A shift from a collection of general notions about becoming a professional to a more integrated, patient-centered conceptualization was found for both cohorts. The two groups initially differed in their perception of dental school (a mechanism for being able to work as a dentist versus a place to learn the skills to serve patients well) and subsequently in the extent of attention they paid to the feelings of their patients and themselves, as well as the continual growth of skill after graduation. Several useful linguistic markers were identified for examining these same issues in other cohorts. The results suggest that top concept networks can offer a useful window into students' developing conceptions of their profession. This kind of information can support student success on a macro level by offering feedback on existing curricula / informing learning designs to cultivate desired conceptions, and on a micro level through identifying particular ways individuals align with and diverge from the common trajectories.

Original languageEnglish (US)
Title of host publicationProceedings of the 9th International Conference on Learning Analytics and Knowledge
Subtitle of host publicationLearning Analytics to Promote Inclusion and Success, LAK 2019
PublisherAssociation for Computing Machinery
Number of pages5
ISBN (Electronic)9781450362566
StatePublished - Mar 4 2019
Event9th International Conference on Learning Analytics and Knowledge, LAK 2019 - Tempe, United States
Duration: Mar 4 2019Mar 8 2019

Publication series

NameACM International Conference Proceeding Series


Conference9th International Conference on Learning Analytics and Knowledge, LAK 2019
Country/TerritoryUnited States


  • Concept network
  • Professional education
  • Reflection

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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