One-Year Research Experience for Associate’s Degree Students Impacts Graduation, STEM Retention, and Transfer Patterns
Bibliographic record
Abstract
The CUNY Research Scholars Program (CRSP) provides a yearlong faculty-mentored research experience to associate's degree students. The program takes place at all 10 associate's degree-granting colleges within the City University of New York system. We report on a mixed-methods study of 500 students who participated in the program during its initial 3 years. Quantitative longitudinal assessments revealed that students who engaged in CRSP were more likely to be retained in a science, technology, engineering, and mathematics (STEM) discipline or to graduate with a STEM degree than their counterparts in a matched comparison group. Furthermore, students who participated in CRSP demonstrated an increased likelihood of transferring to the more research-intensive 4-year schools within the CUNY system and to R1 universities outside the CUNY system. CRSP students reported an increased sense of belonging in college based on survey data, and focus groups with their mentors provided insight into the factors that led to the gains listed above. These combined results-of student data analysis, student surveys, and mentor focus groups-provide evidence that early research experiences for associate's degree students contribute to their academic success.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".