Education: A modular approach to microfluidics in the teaching laboratory
Bibliographic record
Abstract
This article seeks to educate the reader about the role played by the microfluidics teaching lab in the education of science, technology, engineering and mathematics for students of all ages. The discussion is intended to serve as a general guide to educators about the lab philosophy, goals, lab experiments and required equipment and reagents necessary for a successful microfluidics teaching laboratory. We hope that this article will stimulate other groups and companies to describe what they are doing to encourage education in this sector. At LabSmith we have developed a modular approach for teaching and demonstrating microfluidics that allows the end user to tailor the laboratory to course goals without an impact on the package of experimental equipment required and available to them. Thus, it is possible to educate students either in the art of microfluidics or use microfluidics to educate students about fundamental physical, chemical, or biological principles. The laboratory experiments discussed here are for students with educational experience at high school, undergraduate, graduate, and post-graduate levels.
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 | 0.000 | 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 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".