Student Perceptions Regarding Student-Designed Lab Experimental Procedures
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
First-year students are often expected to follow explicit directions in hands-on labs. This can result in highly uniform submissions, where the students are often motivated by performing the steps correctly instead of learning concepts. Through experimental procedure autonomy, students may be able to improve their understanding and develop additional skills in experimental design. In a mechanics lab, students were asked to hypothesize an answer to a question and design an experiment to test this hypothesis using a variety of equipment that was provided. This paper describes student perceptions regarding their learning associated with designing experimental procedures. Feedback survey responses indicated that 65% of students understood why they were asked to design their experiment, but 53% did not enjoy the process. When students assessed their own learning experience, 35% indicated that designing their procedure helped them understand concepts better while 21% indicated that they did not perceive additional learning. Many students (53%) indicated that they would prefer additional instruction on this type of task and 93% appreciated the lab report template provided to them to help organize their results.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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