Enrollment in Distance Education Classes is Associated with Fewer Enrollment Gaps Among Independent Undergraduate Students in the US
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this research is to determine whether nontraditional undergraduate students in the US who enroll in distance education classes are less likely to have an enrollment gap (enrollment gap=part year enrollment). Previous research has shown that preference for distance education classes is significantly greater among nontraditional than among traditional undergraduate students; nontraditional students invariably have a greater number of competing demands (work and family) on their time. Since distance education courses provide students with more convenient and flexible class schedules, nontraditional students, who have time or location constraints that prevent them from enrolling in face-to-face classes during a semester or quarter, may be more likely to enroll in distance education classes in order to stay enrolled for the entire academic year. Based upon this rationale, we predicted that enrollment in distance education classes is significantly related to a decreased likelihood of an enrollment gap among nontraditional students. To test this prediction, we used data from the National Postsecondary Student Aid Survey (NPSAS) conducted in 2008. The NPSAS 2008 used a complex survey design to collect data from a nationally representative sample of about 113,500 postsecondary undergraduate students in the US. Results confirm our prediction, and show that enrollment in distance education is significantly related to a decreased likelihood of an enrollment gap among nontraditional students, but not among traditional students. Results also show that five of the seven dropout risk factors (identified by previous research to decrease 6-year graduation rates) are each significantly associated with an increased likelihood of an enrollment gap. These results suggest that the offer of distance education classes could increase degree progress and possibly completion rates for nontraditional undergraduates who are at high risk for dropout.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it