Teachers’ beliefs and attitudes towards students’ self assessment: A latent profile analysis
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
Autonomous lifelong learning has been identified as a global competency for 21st century education. Students’ self assessment (SSA) plays significant role in achieving this competency. Understanding teachers’ beliefs and attitudes towards SSA is fundamental in promoting SSA in the classroom. The overarching aim of this study was to understand Ghanaian teachers’ beliefs and attitudes towards SSA. Employing a cross-sectional survey design, 248 basic and senior high school teachers participated in this study. A four-factor structure was identified to explain teachers’ beliefs about SSA (i.e., positive belief about self assessment, developing students’ self assessment capacity, negative beliefs about self assessment, and confidence in students’ capacity). Based on these four factors, a latent profile analysis identified five distinct groups of teachers who have varying beliefs about SSA within the Ghanaian educational context. Although some of the teachers in our study strongly believe that SSA is a useful assessment and learning tool that could help students reflect, monitor their own learning, and promote autonomous lifelong learning, most of the teachers either have no interest in SSA, or perceived students as not supporting effective teaching and learning. Implications for policy and practice have been discussed.
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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