The Self-Reported Impact of Graduate Program Completion on the Careers and Plans of Graduates
Bibliographic record
Abstract
The Centre for Distance Education, Athabasca University, commenced a survey of all graduates of its two programs, the master of distance education (MDE) degree, and the graduate diploma (GD) in technology, in late 2006. Alumni were asked how program completion had affected their careers, and their plans for the future. A total of 84 graduates (28.3% of all graduates) responded, two thirds from graduating classes of2004 or later. Using an online survey and telephone interviews, the study found that 56% of the respondents were employed in a variety of distance education (DE) areas. The major impact of program completion was on personal confidence, credibility as seen by others, and promotion potential. Those working in distance education were much more involved with distance education issues, including new job responsibilities, perceived themselves to have more job autonomy and project management duties, and more potential for promotion. Those employed in the field were also much more likely to read the DE literature, and to attend conferences and other DE-related events.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".