Examining chemistry students’ perceptions toward multiple-choice assessment tools that vary in feedback and partial credit
Bibliographic record
Abstract
Multiple-choice testing with dichotomous scoring is one of the most common assessment methods utilized in undergraduate education. Determining students’ perceptions toward different types of multiple-choice testing formats is important for effective assessment. The present study compared two alternative multiple-choice testing formats used in a second-year required chemistry course: (i) Immediate Feedback Assessment Technique (IFAT®) and (ii) Personal Point Allocation (PPA). Both testing methods allow for partial credit, but only the IFAT® provides immediate feedback on students’ responses. Both survey and interview data indicated that, overall, most students preferred IFAT® to the PPA testing method. These positive ratings were related to potential increase in reward, ease of use, and confidence. IFAT® was also perceived to be less stress producing and anxiety provoking than PPA. Interview data not only supported these findings, but also indicated individual differences in preference for each of these two methods. Additionally, students’ feedback on strategies used for either testing method and suggestions on how to improve the methods are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".