Exploring Portfolios in the Elementary Classroom with Students with Disabilities/Exceptionalities: Timely or Time-consuming?
Bibliographic record
Abstract
In the inclusive/special education literature, practitioners often claim that using portfolios is excessively time-intensive, while other researchers lay claim to posi-tive possibilities for students with disabilities/exceptionalities, such as increased self-esteem, internal locus of control, choice-making, and active participation in learning. To explore both the time-consuming charge and the positive possibilities associated with portfolio use, we conducted a case study with students with dis-abilities/exceptionalities and some labelled at-risk in the second author’s elementary classroom. Data sources included a research journal, general class-room observations, and structured student interviews. We found that the teacher identified more examples of positive outcomes than did her students and that im-plementing portfolios can indeed be a protracted process. We theorize about these findings and offer some concluding suggestions to mitigate labour intensity to bet-ter support students with disabilities/exceptionalities.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| 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".