Using a ‘Students as Partners’ model to develop an authentic assessment promoting employability skills in undergraduate life science education
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
Authentic assessments (AA) include three principles, realism, cognitive challenge, and evaluative judgment, and replicate professional workplace expectations. Developing AA in undergraduate life science education is necessary to promote critical skill development and adequately prepare students for the workplace. Using a 'Students-as-Partners' (SAP) approach, five students, an educational developer and the instructor codeveloped an AA requiring students to utilize scientific literacy (SL) and critical thinking (CT) skills to develop a data extraction table and generate communication outputs for scientific and nonscientific audiences. Subsequently, the SAP-developed AA was completed by students (n = 173) enrolled in a fourth-year life sciences and pathophysiology course who completed an online survey providing feedback about their perceived development of critical skills and the relevance of the assignment to the workplace. The top transferable skills students reported the greatest growth in were SL (41.6%, n = 72), communication (34.7%, n = 60), CT (16.2%, n = 28), and problem-solving (7.5%, n = 13). Student self-assessed and instructor-assessed grades were positively correlated, wherein 60.6% of students assessed their AA grades below the instructor's assessment and 4.7% of students assigned themselves the same grade as the instructor. Students' perceived stress levels were (a) negatively correlated with assignment grades and feelings of enjoyment, hope and pride, and (b) positively correlated with feelings of anger, anxiety, shame, and hopelessness while working on the assignment. This study demonstrates the impact of AA on the student learning experience and the relevance of AA to help prepare students for life science careers.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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