REFLECTIONS ON FIVE YEARS OF COHERENT TEACHING ACROSS THREE COURSES ON DIGITAL LOGIC AND COMPUTER SYSTEMS
Bibliographic record
Abstract
Abstract – This paper describes a concerted effort over a five-year period to provide a coherent learning experi-ence in a three-course sequence in the areas of digital logic and computer systems. Among other ways, the co-herence across the courses stems from having the same instructor, the same laboratory hardware, the same soft-ware tools, and the same expectations and approach for assessment of individual learning. Based on the five-year history of academic performance by students on final ex-aminations, the overall outcome is judged as being mixed, where perennial challenges for students in programming have been difficult to address and where other factors such as reduced attendance and interference from other courses have also had adverse effects. To obtain better outcomes, the author recommends higher-level institu-tional attention to developing more personal learning responsibility in students, as well as more focused efforts to address programming challenges in particular.
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".