New BC Curriculum and Communicating Student Learning in an Age of Assessment for Learning
Bibliographic record
Abstract
The purpose of this paper is to provide an in-depth analysis and review of effective and meaningful practices in reporting and communicating student learning in K-12 within the framework of assessment for learning. The timeliness of this topic is derived from the launch of the new curriculum in British Columbia (B.C.), which promotes innovations in both assessment and reporting. To accomplish this goal, research in assessment, grading and reporting student learning from the last two decades is explored to provide information on ways to report and communicate student learning within the changing demands of the new curriculum. Our review of research suggests the need for policy change with respect to developing new systems that are anchored in competency, mastery-oriented and evidence-based learning. There is great potential to change and expand assessment, reporting and communication processes at all levels which are supported by the increased availability of digital technologies, ongoing and personalized assessment, and emerging innovative practices we have noted in B.C. To conclude we recommend digital portfolio practices as they offer a promising direction for creating new processes that complement existing systems in communicating student learning and support competency-based curriculum. Keywords: Assessment for Learning; Communicating Student Learning; Grading; Reporting; Digital Portfolios L’objectif de cet article est d’offrir une analyse et une critique approfondies des pratiques efficaces et significatives portant sur l’établissement de rapports et la communication de l’apprentissage par les élèves de la maternelle à la douzième dans le cadre de l’évaluation au service de l’apprentissage. Le caractère opportun de cette question découle du lancement du nouveau programme d’études de la Colombie-Britannique (C.-B.) qui favorise l’innovation tant dans le domaine de l’évaluation que celui du reportage. Ainsi, nous nous sommes penchés sur la recherche portant sur l’évaluation, l’attribution de notes et le reportage de l’apprentissage des élèves au cours des vingt dernières années afin d’être en mesure de rendre compte des résultats d’apprentissage et de les communiquer dans le contexte de l’évolution des exigences du nouveau programmes d’études. Notre examen de la recherche fait ressortir le besoin d’un changement de politiques quant aux nouveaux systèmes en cours de développement et reposant sur la compétence, la maitrise, et l’apprentissage fondé sur des données probantes. Le potentiel pour changer et étendre les processus d’évaluation, de reportage et de communication est grand à tous les niveaux qui sont appuyés par la disponibilité croissante de technologies numériques, de l’évaluation continue et personnalisée et de pratiques novatrices émergeantes que nous avons notées en C.-B. En guise de conclusion, nous recommandons des pratiques numériques de portefeuille car elles offrent une orientation prometteuse pour la création de nouveaux processus qui complètent les systèmes existants visant la communication de l’apprentissage des élèves et qui appuient un programme d’études basé sur les compétences. Mots clés: évaluation au service de l’apprentissage; communication des résultats d’apprentissage; attribution de notes; portefeuilles numériques
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 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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".