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Using a Structured Research Framework to Improve Mentoring Capacity in a Biophysics Research Lab
Truitt Elliott,
Erin Drolet,
Jonathan S. Briganti,
Kelsie M. King, and
Anne M. Brown
Article Category: Research Article
Volume/Issue: Volume 5: Issue 2
Online Publication Date: Aug 21, 2024
Page Range: 110 – 127

environments ( 1–3 , 6 , 7 ). One of the primary drivers of these benefits is the mentoring students receive from faculty and graduate students, while participating in research ( 1 , 8 , 9 ). For biophysics mentoring, the literature indicates the importance of consistent, early mentoring in retaining biophysics students in the field ( 10 , 11 ). There are several models for structuring undergraduate research, each with unique benefits, challenges, and mentoring styles that affect student outcomes. The predominant models of undergraduate research are apprenticeship UREs

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Fig 1; Sample 2-wk research course schedule. Different types of course activities are color coded. The majority of time is spent conducting research in small teams, with course-wide All Hands meetings that focus on either learning about cellular engineering or career development. Check-in times are integral for Peer Mentors, Team Leaders, and Course Directors to share experiences, provide support, and troubleshoot issues that arise in teams.
Yee-Hung Mark Chan,
Michelle Phillips,
Katherine Nielsen, and
Diana S. Chu
Fig 1
Fig 1

Sample 2-wk research course schedule. Different types of course activities are color coded. The majority of time is spent conducting research in small teams, with course-wide All Hands meetings that focus on either learning about cellular engineering or career development. Check-in times are integral for Peer Mentors, Team Leaders, and Course Directors to share experiences, provide support, and troubleshoot issues that arise in teams.


Nicholas B. Whitticar and
Craig S. Nunemaker
Article Category: Brief Report
Volume/Issue: Volume 1: Issue 2
Online Publication Date: Jan 01, 2020
Page Range:

researchers, 29 were coauthor on 1 or more peer-reviewed publications, with 12 students as first or co-first author. Many of these students went on to pursue postsecondary degrees in science or medicine. This report contains reflections and recommendations on motivating students to consider a career in the STEM fields from the perspective of a mentor and a doctoral student who began scientific research as an undergraduate. High school students: exposure to real science The concept of gaining new knowledge and exploring the unknown is fundamental

Yee-Hung Mark Chan,
Michelle Phillips,
Katherine Nielsen, and
Diana S. Chu
Article Category: Research Article
Volume/Issue: Volume 5: Issue 2
Online Publication Date: Jul 25, 2024
Page Range: 84 – 97

found that summer research experiences that provide sustained opportunities for mentorship are a critical factor in college students’ overall satisfaction with the experiences and in determining how these students will select future research projects, especially for those that are minority groups in STEM fields ( 8–10 ). However, their impact can be limited because laboratories often host only 1 to 2 students per summer. In addition, this format, in which students work closely with 1 mentor, may limit exposure to a range of scientist mentors. Thus, a model was

Patricia Soto and
Andrew L. Feig
Article Category: Editorial
Volume/Issue: Volume 5: Issue 2
Online Publication Date: Dec 02, 2024
Page Range: 81 – 83

Editors This special issue of The Biophysicist is dedicated to the art of mentoring and the use of evidence-based practices to support effective mentoring across all levels of career development, from a K–12 student first learning what biophysicists do, to a career scientist thinking about making a pivot later in life, and everything in between. The 2019 Report from the National Academies of Sciences, Engineering, and Medicine, the “Science of Effective Mentoring in STEMM,” defines mentoring as a collaborative learning relationship and working alliance

Truitt Elliott,
Erin Drolet,
Jonathan S. Briganti,
Kelsie M. King, and
Anne M. Brown
Fig 1
Fig 1

Aggregated participation in undergraduate research. The number of undergraduate students (y axis) who participated in total semesters of research (x axis). Students who participated in multiple semesters are represented in each bar they participated in (i.e., a student who participated in 3 semesters is counted in bars 1–3). Data shown represent only semesters after the completion of the training semester. Data are shown for the Brown Experiential Learning (BEL) program from 2016 to 2023 (a) and institutional from 2018 to 2023 (b). Institutional enrollment data include BEL program enrollment.


Truitt Elliott,
Erin Drolet,
Jonathan S. Briganti,
Kelsie M. King, and
Anne M. Brown
Fig 3
Fig 3

Proportion of participants by academic class per semester. The data shown are the proportion of students who were in each academic class, as defined by the university per semester. The data do not include the initial training semester. Note that many of these students were first- and second-year students at Virginia Tech, who were academic sophomores and juniors by virtue of transfer credits. The program has had an average of 15 undergraduate students since the fall of 2017 and has maintained many more who have gone through the training.


Truitt Elliott,
Erin Drolet,
Jonathan S. Briganti,
Kelsie M. King, and
Anne M. Brown
Fig 2
Fig 2

Participant response to how the Brown Experiential Learning program affected learning and professional outcomes. Participant response (n =27) was normalized to 100% for each metric. The questions offered options for “somewhat negatively affected” and “negatively affected,” but none were selected by any of the participants surveyed for any metric.


Karen Skriver,
Signe A. Sjørup,
Annette E. Langkilde,
Evanthia Balouka,
Caspar S. Christensen,
Kathrine Carbel,
Jens N. V. Decker,
David N. Essenbæk,
Justus F. Gräf,
Camilla H. Jessen,
Peter Kristensen,
Christoffer Merrild,
Tobias S. Mortensen,
Isabella F. Nalepa,
Bjørn W. Nordsteen,
Sophie K. Svoren,
Matthijs van Hall,
Jan Weicher,
Malene L. Wind,
Danping Zhang,
Daniel Saar,
Helle Blæsild,
Martin Stahlhut,
Kim V. Andersen,
Robert Dagil,
Bente Vestergaard,
Marie L. Ryberg, and
Birthe B. Kragelund
Fig 1
Fig 1

Research-integrating teaching platform based on IDPs. (a) IDPs can remain disordered in their complexes, which expands the interaction potential and broadens the palette of molecular communication mechanisms, challenging the structure function paradigm linking function to form. (b) Posters inviting the students to join the research-integrating course. (c) Workflow of the research-integrating teaching laboratory. An invitation from two fictive famous scientists, selecting the students to participate and setting the scene, initiates the course. The students then select an unstudied IDP from the list, which they express and purify and for which they formulate a testable hypothesis. With the use of advanced biophysics to test the hypothesis, students generate and analyze data and present the results in a scientific poster. (d) Students presenting their discoveries and research in the form of a scientific poster to an interested crowd of students, PhD students, post docs, mentors, and a poster committee. (e) Course evaluation with anonymous reporting and its outcome is based on >90% responses.


Kelly E. Theisen
Article Category: Research Article
Volume/Issue: Volume 5: Issue 2
Online Publication Date: Nov 12, 2024
Page Range: 128 – 135

, including independent studies and course-based undergraduate experiences (CUREs), have been shown to improve student retention in science, technology, engineering, and math (STEM) courses and fields of study ( 1–4 ). Being involved with research also helps students build relationships with other students and with faculty mentors. These relationships help students build a sense of belonging and improve retention in college ( 5 ). My approach builds on previous research in this area, as cited above, along with many others. At a small, primarily undergraduate institution