Becoming a Dentist: Tracing Professional Identity Development Through Mixed Methods Data Mining of Student Reflections

@inproceedings{Wise2020BecomingAD,
  title={Becoming a Dentist: Tracing Professional Identity Development Through Mixed Methods Data Mining of Student Reflections},
  author={Alyssa Friend Wise and Sameen Reza and Rujun Han},
  booktitle={ICLS},
  year={2020}
}
This study used mixed-methods data mining to identify concepts related to dental students’ professional identity development and trace their evolution over time. Words in students’ reflections were clustered based on similarity of use (represented in a 50dimensional word-embedding model); these concepts were characterized at three points in time by constructing co-occurrence networks of constituent words and inspecting representative sentences. Analysis of 4,069 reflection statements from 378… 
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