IMPROVEMENTS IN A CROSS-COHORT MECHANCICAL ENGINEERING COURSE PROJECT
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 cross-cohort project was created and implemented as part of the core curriculum for mechanical engineering students. A team of second-year students in “Dynamics” course was grouped with a team of third-year students in “Kinematics and Dynamics of Machines” course where they designed, prototyped and conducted dynamic motion analysis of a pick and place mechanism. Each cohort was tasked to create a sub-mechanism, combining these two mechanisms created the final machine. The teaching and learning activities are defined towards accomplishing four main interrelated objectives: (1) To provide a design challenge to guide students to implement creative potential solutions. (2) To allow second-year and third-year teams to analyze the dynamic motion of their mechanism while considering the design of the other group’s mechanism. (3) To introduce industrial dynamic simulation tools and hands on prototyping skills. (4) To facilitate cross-cohort collaboration within teams with more emphasis on students’ peer exchange of knowledge and experience. With the experience gained from conducting the project, evaluating the students’ reports, and student feedback, several modifications can be implemented in future iterations to allow the students to benefit more from this kind of project structure. This research discusses improvements based on the lessons learned.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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