HANDS-ON EDUCATION WITHOUT THE HANDS-ON? AN APPROACH TO ONLINE DELIVERY OF A SENIOR LAB COURSE IN CHEMICAL ENGINEERING WHILE MAINTAINING KEY LEARNING OUTCOMES
Bibliographic record
Abstract
The senior chemical engineering lab course at UBC follows an open-ended problem-based lab (PBL) framework, which has been shown in previous work to improve self-reported learning outcomes in students. Given the hands-on experiential components of lab-based courses in general, their shift to remote delivery, such as the one required by the COVID-19 pandemic, is challenging. Shifting a PBL course to a virtual setting while maintaining its more open-ended learning outcomes is likely even more difficult. This paper outlines the design of an online senior PBL course in chemical and biological engineering, in which TAs, present in the lab, act as Operators and implement student-designed experimental plans over several weeks, while maintaining active virtual contact with their teams. Feedback from students on this experience, the particulars of the course design, and the perceived value of this approach, based on data collected from survey responses, is presented and compared to similar data collected for the latest in-person offering of the same course.
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 | 0.001 | 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 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".