Related Experiment Video
Updated: Sep 30, 2025

10:17
Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
Published on: November 15, 2024
1.2K
The Annual BUILD Snapshot: Tracking Alumni Outcomes
Nancy Carrada Zuniga1, Ashley Colbern1
1California State University Long Beach, Long Beach, CA 90804, USA.
Summary
Tracking alumni graduate school enrollment is crucial for program success. The Annual BUILD Snapshot, a personalized Excel tool, was developed to overcome alumni disengagement and monitor post-graduate outcomes effectively.
Area of Science:
- * Biomedical research training programs
- * Higher education student tracking
- * Alumni engagement strategies
Background:
- * Growing number of alumni from the CSULB BUILD Student Training Program necessitates effective tracking.
- * Monitoring post-graduate outcomes is essential for program evaluation and continued trainee support.
- * Alumni engagement presents a significant challenge in collecting outcome data.
Purpose of the Study:
- * To describe the development and implementation of the Annual BUILD Snapshot.
- * To outline strategies for launching and administering the Snapshot.
- * To share outcomes and lessons learned for similar programs.
Main Methods:
- * Development of a personalized, unique Excel file: the Annual BUILD Snapshot.
- * Designed to collect data on student activities during and after the BUILD Program.
- * Implementation of strategies to encourage alumni participation and data submission.
Main Results:
- * The Annual BUILD Snapshot facilitates systematic tracking of post-graduate enrollment and persistence.
- * The system provides insights into trainee activities and long-term outcomes.
- * Lessons learned offer valuable guidance for program administration and alumni relations.
Conclusions:
- * The Annual BUILD Snapshot is an effective tool for tracking alumni outcomes in training programs.
- * Creative and personalized approaches can improve alumni engagement in data collection.
- * Findings have implications for similar programs seeking to monitor student success and maintain alumni connections.
Related Concept Videos
Longitudinal Research
12.6K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.6K
Life Tables
230
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
230
Data Reporting and Recording
5.0K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.0K
Longitudinal Studies
268
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
268
Kaplan-Meier Approach
290
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
290
Hindsight Biases
4.0K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
4.0K

