Does Portfolio-Based Language Assessment Align with Learning-Oriented Assessment? Evidence from Literacy Learners and their Instructors
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
A high-stakes Portfolio-Based Language Assessment (PBLA) protocol that was fully implemented in all Language Instruction for Newcomers to Canada (LINC) programs in 2019 requires instructors and students to set language-learning goals and complete, compile, and reflect on numerous authentic language tasks. Due to the language barriers incurred when communicating with beginner English-as-a-second-language literacy learners (BELLs), no PBLA research has been conducted with BELLs. To address this gap, we interviewed 26 BELLs (n = 2 from 13 L1s) and their instructors (n = 4) about their understanding and use of PBLA. Student interviews were conducted with the assistance of bilingual interpreters in the students’ L1s. All the interviews were then transcribed and thematically analyzed in relation to PBLA’s alignment with the six dimensions in Turner and Purpura’s (2016) learning-oriented assessment framework: contextual, elicitation, proficiency, learning, instructional, interactional, and affective. Results have implications for optimizing learning, and task-based instruction and assessment practices in LINC.
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.
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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| 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 it