Context In an era of medical education reform and increasing accountability at all levels of higher education, there is a need to understand how the time in which students engage in academic activities can inform evidence‐based quality improvement of the curriculum. Time logging provides an opportunity to quantify student use of academic time and guide data‐informed decision making in curriculum design. Objectives This study aimed to evaluate faculty staff and student predictions of students’ academic time use and to assess students’ reported academic time use. Methods Graduate‐level professional students engaged in a time use exercise during the first semester of Year 1 (autumn 2015) and second semester of Year 2 (spring 2017) of a redesigned curriculum launched in autumn 2015. This exercise involved three key activities: (i) prediction of time use; (ii) time logging, and (iii) reflection on time use. Key faculty staff predicted students’ weekday time use in both semesters. Results Students’ predictions of academic time use strongly correlated with their reported academic time use during both the first semester of Year 1 and second semester of Year 2 (r = 0.55 and r = 0.53, respectively). Faculty members’ predictions of academic time use did not correlate with student academic time use during either semester. Although 63.8% of Year‐1 students reported the time use exercise motivated them to change their time use, students reported spending similar amounts of time on academic activities during the first semester of Year 1 (7.8 ± 1.5 hours per weekday) and the second semester of Year 2 (7.9 ± 2.0 hours per weekday). Most students reported that the exercise had been useful and indicated that their logged time accurately reflected their actual time use. Conclusions Although curriculum reform efforts may always require that some assumptions be made, time logging can quantify students’ academic use of time. Although students predict their use of time more accurately than do faculty staff, negligible changes in students’ academic time use despite reported desires to make changes indicate that students’ academic time use may remain inelastic. Educators must consider these findings as they design curricula, identify academic rigour, and establish student expectations of academic time use.

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Effective pedagogical strategies are needed to improve statistical literacy within health sciences education. This paper describes the design, implementation, and evaluation of a highly interactive two-week biostatistics short course using the flipped classroom model in the United States. The course was required for all students at the start of a doctoral degree program with the goal of standardizing student preparation, contextualizing biostatistics to healthcare, and identifying students needing additional help. We focused on basic concepts and methods, their application to healthcare, selection of statistical procedures, and results interpretation. Data indicate that students were actively engaged, perceived the course as useful, and experienced learning gains. After the course, students indicated that they better understood the relevance and applicability of biostatistics and were motivated to learn more. First published November 2017 at Statistics Education Research Journal Archives

Objective. To explore the relationship between pharmacy students' social and behavioral competencies assessed using multiple mini-interviews (MMIs) and their personality traits. Methods. A retrospective study was conducted using data from two Doctor of Pharmacy (PharmD) cohorts. Students' self-reported scores from an externally validated tool completed during their first professional year that assessed five personality traits (openness to experiences, conscientiousness, extraversion, agreeableness, and emotionality) were collected. Students' scores on empathy, integrity, adaptability, critical thinking, and collaboration were collected during MMIs conducted during the admissions process. Analysis of variance was used to test the homogeneity of the sample, and correlation analyses were used to determine the strength of relationships between variables. Results. When examining for associations between students' personality traits and their social and behavioral competencies measured during the MMIs, we found a few significant but very weak correlations with extraversion. Conclusion. Our results revealed weak to negligible correlations between scores on competencies measured during the MMIs and personality traits, potentially because the assessments measured different constructs.