Medical Students' Technology Use for Self-Directed Learning: Contributing and Constraining Factors

Med Sci Educ. 2022 Jan 27;32(1):149-156. doi: 10.1007/s40670-021-01497-3. eCollection 2022 Feb.

Abstract

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.

Keywords: Educational compatibility; Perceived usefulness; Self-directed learning; Self-directed technology use.