Dataset Information

Improving Academic Performance and Retention of First-Year Biology Students through a Scalable Peer Mentorship Program.

ABSTRACT: We examine the impact of Biology Mentoring and Engagement (BIOME) near-peer mentorship on 437 first-year undergraduate students over three cohort years. The BIOME course consists of ten, 50-minute meetings where groups of six first-year mentees meet with an upper-division student mentor to discuss topics including metacognition, growth mindset, and effective study strategies. We employed a mixed-methods approach to evaluate the impact of BIOME on mentee academic outcomes. Initial ethnographic analysis revealed that BIOME influenced student study methods, approaches to academic challenges, and use of campus learning communities. We then constructed a novel, program-specific instrument to measure the implementation of these habits, a construct we named "academic habit complexity." Regression analysis supported the hypothesis that enrollment in BIOME leads to students using more diverse approaches than their peers. Enrollment in BIOME, and the associated development of academic habit complexity, is related to higher course grades in General Chemistry, a biology major prerequisite. Finally, students participating in BIOME demonstrated improved short-term student retention as measured by increased enrollment in the subsequent prerequisite General Chemistry course. These results suggest that course-based near-peer mentorship may be an effective and scalable approach that can promote student academic success.

SUBMITTER: Wilton M

PROVIDER: S-EPMC8715785 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:PurposeAlthough mentorship has been associated with promotion, job satisfaction, and retention, data are limited on the mentorship experience of clinical- versus research-track physicians as well as feasibility and relative priority of formal program components.Methods and materialsWithin a single-institution, multi-site, academic network, we implemented a Radiation Oncology AcaDemic Mentorship Program (ROADMAP) for junior faculty. Validated surveys assessing mentee satisfaction were distributed at baseline and 1 year. The statistical analysis included Wilcoxon rank sum and signed tests. Mentees assessed the likelihood to recommend each program component (10-point Likert-type scale), and means with standard error (SE) are reported.ResultsAmong 42 eligible junior faculty, 36 (86%) opted into the program. The median time since residency was 2.5 years (interquartile range, 1.75-5.25) on the clinical track (n = 12) and 3 years (interquartile range, 2.75-5.00) on the research track (n = 24). At baseline, research-track physicians reported higher satisfaction with mentoring than physicians on the clinical track (2.92 vs 2.16; P = .02). Among 32 physicians completing 1 year, overall satisfaction with mentoring increased compared with baseline (2.72 vs 3.87; P < .001), which persisted on subset analysis for both clinical- (2.16 vs 4.03; P < .001) and research-track physicians (2.99 vs 3.77; P = .005). At 1 year, 28 mentees (88%) opted to continue the program. Program components were rated 8.25 (SE, 0.37) for mentor-mentee pairings, 7.22 (SE, 0.39) for goal setting, 6.84 (SE, 0.47) for administrative support, 6.69 (SE, 0.44) for peer mentoring, and 6.53 (SE, 0.45) for steering committee oversight. Ratings of peer mentoring were not associated with track (P = .59) or years in practice (P = .29).ConclusionsClinical-track physicians may be less satisfied with mentorship than research-track faculty. However, all junior faculty, regardless of track, appeared to benefit from formalizing dyadic mentor-mentee relationships, goal setting, and peer mentoring. Further work is needed to determine the role of mentorship in addressing physician burnout.

Dataset Information

Improving Academic Performance and Retention of First-Year Biology Students through a Scalable Peer Mentorship Program.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets