{"title":"Electronic near peer mentoring: evaluating its effects on satisfaction and learning among medical education graduate students.","authors":"Somaye Sohrabi, Masume Najarian, Masomeh Kalantarion","doi":"10.1186/s13104-025-07462-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to evaluate the feasibility, satisfaction, and learning outcomes associated with an electronic near-peer mentoring (ENPM) program for master's students in medical education. The program leveraged existing digital infrastructure to provide academic and psychosocial support through structured interactions between senior mentors and junior mentees.</p><p><strong>Results: </strong>The program demonstrated high feasibility and was well-received. Satisfaction levels were notably high among both mentees (80%) and mentors (100%). Mentees reported significant academic (75%) and psychosocial (50%) benefits. However, perceived shared values (70% neutral) and structural support (40% agreed) were identified as areas for improvement. While mentors highly valued the supportive experience, a majority (57%) found it time-consuming. Academic performance, as measured by GPA, was high overall (18.14 ± 0.72), but no significant statistical correlation was found between satisfaction levels and GPA (ρ = 0.18, p = 0.31). The findings suggest ENPM is a promising model for scalable academic support in digital graduate education, with sustainability hinging on addressing time demands for mentors and enhancing structural support for mentees.</p>","PeriodicalId":9234,"journal":{"name":"BMC Research Notes","volume":"18 1","pages":"391"},"PeriodicalIF":1.7000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486574/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Research Notes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13104-025-07462-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This study aimed to evaluate the feasibility, satisfaction, and learning outcomes associated with an electronic near-peer mentoring (ENPM) program for master's students in medical education. The program leveraged existing digital infrastructure to provide academic and psychosocial support through structured interactions between senior mentors and junior mentees.
Results: The program demonstrated high feasibility and was well-received. Satisfaction levels were notably high among both mentees (80%) and mentors (100%). Mentees reported significant academic (75%) and psychosocial (50%) benefits. However, perceived shared values (70% neutral) and structural support (40% agreed) were identified as areas for improvement. While mentors highly valued the supportive experience, a majority (57%) found it time-consuming. Academic performance, as measured by GPA, was high overall (18.14 ± 0.72), but no significant statistical correlation was found between satisfaction levels and GPA (ρ = 0.18, p = 0.31). The findings suggest ENPM is a promising model for scalable academic support in digital graduate education, with sustainability hinging on addressing time demands for mentors and enhancing structural support for mentees.
BMC Research NotesBiochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍:
BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.