Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/6650
Title: Becoming a Dentist: Tracing Professional Identity Development Through Mixed Methods Data Mining of Student Reflections
Authors: Wise, Alyssa
Reza, Sameen
Han, Rujun
Keywords: Learning and Identity
Issue Date: Jun-2020
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Wise, A., Reza, S., & Han, R. (2020). Becoming a Dentist: Tracing Professional Identity Development Through Mixed Methods Data Mining of Student Reflections. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 1 (pp. 294-301). Nashville, Tennessee: International Society of the Learning Sciences.
Abstract: 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 50-dimensional 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 students over four years revealed twelve relevant concepts. Over time, students’ vision of Becoming a Professional showed increased emphasis on ethical practices, shifting focus from self-as-dentist to Providing the Best Patient Care. In addition to gaining Confidence through Progress to be a part of the Field of Dentistry, students also personalized their view of the profession, coming to Know Oneself as a Dentist and, at times, connecting this to their Life Vision. Implications for the theory, study and support of professional identity development are discussed.
URI: https://doi.dx.org/10.22318/icls2020.294
https://repository.isls.org//handle/1/6650
Appears in Collections:ICLS 2020

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