E-LEARNING AND E-ASSESSMENT FOR A COMPUTER PROGRAMMING COURSE
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
We have developed an e-learning and e-assessment tool for a first year university course on computer programming. The tool presents information and questions to the student and provides immediate feedback to the student regarding correctness and score. An answer may be textual, or a selection from multiple choice, or a complete computer program involving several files. When a program is required, the answer is open-ended in the sense that the contents of the program are only checked in terms of functionality. That is, the program must meet the functional specifications given in the question. The results are packaged for the instructor in a specially-formatted file that contains the questions as they were presented to the student, the student's answers, and an automated assessment. The tool is platform-independent, since it is written in Java with no particular operating system dependencies. It is capable of shuffling questions, presenting a random subset of a group of questions, and awarding partial credit for repeated tries or case mismatches (where case is important). The tool includes security features to improve evaluation integrity, including encryption of answers within the tool and encryption of student results.
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 | 0.001 | 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 | 0.000 | 0.000 |
| 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