USE OF EPORTFOLIO TOOL FOR REFLECTION IN ENGINEERING DESIGN
Bibliographic record
Abstract
Electronic portfolios (ePortfolios) can be a beneficial tool to facilitate student learning, evaluate learning outcomes and showcase skills and experience. At the University of Guelph, the School of Engineering piloted the use of ePortfolios within the third year design course of the engineering design sequence of courses. With the implementation of graduate attributes by the CEAB, more “soft skill” attributes like individual and teamwork, project management, and lifelong learning are important skills developed by students within the design courses and can be assessed within an ePortfolio environment.Students submitted guided reflections related to major deliverables within the course. The reflections were assessed for the level of insight through rubrics in the learning management system. Overall, students improved their ability to reflect and provided good insight into their learning and roles within their group project. The response to the reflections by students was mixed. Many students found value in reflecting on their experience while other students were frustrated by the method of filling the reflection form.In the future, the objectives for reflection should be made clearer with supplementary documentation to the lecture material. Adjusting the timing of the reflections to correspond to less stressful periods of the semester and improving the ePortfolio process will help with student engagement.
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.
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 | 0.002 | 0.021 |
| 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 | 0.001 |
| 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".