USING MICRO-VIDEO PROJECTS IN LARGE ENGINEERING CLASSES TO DIFFERENTIATE ASSESSMENT
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
A new assessment tool is introduced thatuses one minute long, individual micro-videopresentations to give students an opportunity todemonstrate mastery of specific engineering conceptsorally instead of in the typical written form. The shorttime-frame of the videos requires students to thinkcritically about the concept and to explain it concisely. Italso reduces assessment time, allowing teachingassistants to grade it quickly, even in a large class.Three micro-video projects were implemented in athird year and fourth year civil engineering course atCarleton University with 180 and 96 students,respectively. The format of the micro-video tool isdiscussed in detail, including the assessment rubric thatwas used. Three anonymous elective student surveys wereconducted at different stages to solicit student opinions.Students generally thought that the micro-videoassignment was valuable, enjoyable, and provided a fairevaluation of their understanding.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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