TY - JOUR
T1 - Medical Students’ Technology Use for Self-Directed Learning
T2 - Contributing and Constraining Factors
AU - Zheng, Binbin
N1 - Publisher Copyright:
© 2021, The Author(s) under exclusive licence to International Association of Medical Science Educators.
PY - 2022/2
Y1 - 2022/2
N2 - Background: With medical education shifting towards competency-based models, medical students are expected to be self-directed lifelong learners. There is an urgent need to understand what technology students adopt for self-directed learning and what factors contributed to students’ self-initiated technology use. Method: This study took place in a midwestern university medical school, which implements a flipped classroom model where students are required to learn all the course materials independently before class. Twenty-six first- and second-year medical students participated in a semi-structured interview about their self-directed learning with technology, and contributing factors towards technology use. A qualitative description methodology using thematic analysis was used to identify key themes from the interview data. Results: Medical students reported using four types of technologies for learning video resources, self-assessment tools, management tools, and social media. Three key determinants of students’ self-directed technology use were identified, including perceived usefulness, subjective norms, and educational compatibility. Conclusions: By probing medical students’ self-initiated technology use and its determinants, this study suggested that in a self-directed learning environment, medical students used a variety of third-party resources to facilitate learning and develop self-directed learning skills. This study also provided important practical implications to better support students’ productive use of technologies for self-directed learning.
AB - Background: With medical education shifting towards competency-based models, medical students are expected to be self-directed lifelong learners. There is an urgent need to understand what technology students adopt for self-directed learning and what factors contributed to students’ self-initiated technology use. Method: This study took place in a midwestern university medical school, which implements a flipped classroom model where students are required to learn all the course materials independently before class. Twenty-six first- and second-year medical students participated in a semi-structured interview about their self-directed learning with technology, and contributing factors towards technology use. A qualitative description methodology using thematic analysis was used to identify key themes from the interview data. Results: Medical students reported using four types of technologies for learning video resources, self-assessment tools, management tools, and social media. Three key determinants of students’ self-directed technology use were identified, including perceived usefulness, subjective norms, and educational compatibility. Conclusions: By probing medical students’ self-initiated technology use and its determinants, this study suggested that in a self-directed learning environment, medical students used a variety of third-party resources to facilitate learning and develop self-directed learning skills. This study also provided important practical implications to better support students’ productive use of technologies for self-directed learning.
KW - Educational compatibility
KW - Perceived usefulness
KW - Self-directed learning
KW - Self-directed technology use
UR - http://www.scopus.com/inward/record.url?scp=85123576815&partnerID=8YFLogxK
U2 - 10.1007/s40670-021-01497-3
DO - 10.1007/s40670-021-01497-3
M3 - Article
AN - SCOPUS:85123576815
SN - 2156-8650
VL - 32
SP - 149
EP - 156
JO - Medical Science Educator
JF - Medical Science Educator
IS - 1
ER -