Open Assessment of Learning: A Meta-Synthesis
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
<p class="3">Open Assessment of Learning (OAoL) is an emerging educational concept derived from the incorporation of Information and Communication Technologies (ICT) to education and is related with the Open Education Movement. In order to improve understanding of OAoL a literature review was conducted as a meta-synthesis of 100 studies on ICT-based assessment published from 1995 to 2015, selected from well-established peer-reviewed databases. The purpose of this study focused on identifying the common topics between ICT-based assessment and OAoL which is considered as an Open Educational Practice.</p><p class="3">The review showed that extensive use of the Internet makes it easy to achieve some special features of OAoL as collaboration or sharing, which are considered negative or inconvenient in traditional assessment but at the same time become elements that promote innovation on that topic. It was also found that there is still a great resistance to accept change (as OAoL does) when structural elements of traditional assessment are questioned or challenged.</p>
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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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