Acid–Base Learning Outcomes for Students in an Introductory Organic Chemistry Course
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
An outcome-based approach to teaching and learning focuses on what the student demonstrably knows and can do after instruction, rather than on what the instructor teaches. This outcome-focused approach can then guide the alignment of teaching strategies, learning activities, and assessment. In organic chemistry, mastery of organic acid–base knowledge and skills are particularly essential for success. For example, Brønsted acid–base knowledge and skills are required in greater than 85% of the more complex organic and biochemical reactions we analyzed in this study. Despite the importance of mastering acid–base concepts and skills, the literature describes many related student difficulties. We identified essential learning outcomes (LOs) in organic acid–base chemistry by (1) analyzing more complex organic reactions to identify the acid–base-related skills and knowledge that students would need to successfully analyze those reactions and (2) analyzing textbooks’ explanations and coverage of acid–base chemistry. We constructed the learning outcomes using the Structure of Observed Learning Outcomes (SOLO) and modified Bloom taxonomies, as well as SMART (specific, measurable, achievable, relevant, and time-bounded) goal-setting principles. We explicitly aligned our courses’ learning activities and assessments with those intended learning outcomes, both in the initial introduction of acid–base chemistry and as we analyze more complex reactions. To clearly communicate these LOs to students and other educators, we described them in an educational graphic.
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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 | 0.002 | 0.004 |
| 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) | 0.001 | 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 it