The Design of an Educationally Beneficial Immediate Feedback System
Why this work is in the frame
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Bibliographic record
Abstract
Student learning is positively affected by the quality, and timeliness of feedback they receive on their assignments and homework. Unfortunately, as class sizes increase, instructors find it increasingly difficult to produce meaningful feedback for students in a timely fashion. To maintain an environment in which a student can continue to receive beneficial feedback, an alternate scalable method of providing feedback needs to be established. This document presents the design of a system capable of providing automated feedback to students on their work immediately after it is requested. A prototype of the design that produces feedback on C programs was developed, and provided to computer science students. An analysis of the usage of the system, and the student work submitted to it shows the design can produce feedback that students find valuable, improves the learning experience, and improves programming ability. The positive results suggest that further research should be conducted.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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