Virtual Lab Integration in Undergraduate Courses: Insights from Course Design and Implementation
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
The instructors of four biology-related courses at a Canadian university integrated Labster virtual labs in their courses as a pre-lab activity, lecture substitute, or to provide lab experience in courses with no on-site labs. The instructors used a backward design approach to align the labs with the learning objectives of their courses and to connect the labs with their course assessments. A study was conducted to examine students’ perceptions of the usefulness of the virtual labs in terms of content knowledge and lab skills. At the end of each course, the instructors administered an anonymous survey in their classes. In total, 370 students participated. Across all four courses, survey results showed that at least 77% of the students found that virtual lab simulations helped them understand course concepts. At least 74% of the students navigated the virtual labs with no issues and 58% of the students found the simulations to be of high quality.
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