Developing Advanced Units of Learning Using IMS Learning Design Level B
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
IMS Learning Design (LD) is an open specification, released in 2003, to support the interoperability of advanced pedagogical designs in e-learning courses and other 'units of learning'. The specification supports three levels: level A is the basic level, level B adds 'properties, global elements, monitor services and conditions ' and level C adds 'notifications'. Current tools for LD support level A of the specification. Some new tools are exploring the incorporation of level B, but there is still a lot of unexplored territory in this area. Also the documentation that is available today explains in detail the technical differences between level A and B, but not functionally. This tutorial paper introduces the possibilities of using IMS Learning Design level B to develop digital courses that support: collaborative learning, adaptive learning and personalisation, conditional text, runtime tracking, new forms of assessment and the modelling of ePortfolio's.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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