Student Transitions Through an Entire Computing Program
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
While the challenges experienced by first-year computing students have been well studied, little work has explored the transitions in disciplinary participation and challenges experienced by upper-years. This study explores how students’ needs and challenges evolve through a computing degree. We collected the experiences of first to final-year undergraduate computing students through surveys and interviews. We organized these experiences into themes that we compare against previous literature and illustrate with quotes. Upper-year students perceive changes in (a) levels of support and (b) the kinds of challenges they experience as they progress through the program. Second-year students feel pressured by the increasing difficulty of courses. This pressure increases through the third year as students begin to perceive a need to find employment. The experiences of our students suggest the need to better support the middle years of academic programs. Students in the first year are well-supported in their university transition, but students in the middle are often left to find their way as they develop a deeper understanding of their desired place in the field.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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