A Scaffolded Assessment on Chromatography Theory for Analytical Chemistry Classrooms
Bibliographic record
Abstract
We describe a scaffolded assessment activity that introduces students to the essential theories and principles of chromatography. This summative assessment was redesigned to introduce scaffolded and “fill-in-the-blank” questions about the chromatographic separation of mixtures. In addition to analyzing chromatograms and interpreting data, the assignment was designed to help learners define the array of chromatographic terms and to engage students in scientific practices by having them actively reason about several variables and identify relationships between various technical terms to solve multistep calculations. The activity was successfully implemented in a remote analytical chemistry class, with learning gains evidenced by the subsequent midterm exam. Students self-reported their achievement of the intended learning outcomes as well as their enjoyment of the activity and its structure. We found the new scaffolded design to be attractive for helping students develop process skills for problem-solving in analytical chemistry.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".