Perspectives on Alternative Assessment Reform
Bibliographic record
Abstract
This article examines classroom assessment reform from four perspectives: technological, cultural, political, and postmodern. Each perspective highlights different issues and problems in the phenomenon of classroom assessment. The technological perspective focuses on issues of organization, structure, strategy, and skill in developing new assessment techniques. The cultural perspective examines how alternative assessments are interpreted and integrated into the social and cultural context of schools. The political perspective views assessment issues as being embedded in and resulting from the dynamics of power and control in human interaction. Here assessment problems are caused by inappropriate use, political and bureaucratic interference, or institutional priorities and requirements. Last, the postmodern perspective is based on the view that in today’s complex and uncertain world, human beings are not completely knowable and that “authentic” experiences and assessments are fundamentally questionable. Using a semi-structured interview protocol, teachers were asked about their personal understanding of alternative forms of assessment; about how they had acquired this understanding; how they integrated changes into their practices; what these practices looked like; what successes and obstacles they encountered during implementation; and what support systems had been provided for them
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.040 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.009 | 0.059 |
| Scholarly communication | 0.017 | 0.022 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.010 | 0.017 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".