Impact Assessment of a Microprocessor Animation on Student Learning and Motivation in Computer Engineering
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
This paper reports on the impact of using custom animation software to teach second/third year computer/electrical engineering students in the microprocessing systems course at the University of Manitoba, Winnipeg, MB, Canada. Over the span of 13 years' experience with teaching the course, the difficulties and limitations with conventional lectures and visual aids led to the development of custom animation of the course material to provide an additional teaching modality to teach the complex and abstract subject matter more effectively. The custom animation software consists of the ability to create and/or modify microinstructions, create and/or modify macroinstructions, and animate the execution of instructions (using the "water-flowing through pipes" analogy) by showing address and data transmission juxtaposed against an animated clock. A postunit, mixed method survey administered to students reveals substantial cognitive gains and modest motivational outcomes, reinforcing the animation's effectiveness and sparking motivation for further research
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 | 0.000 | 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