Monitoring and Analytical Evaluation of Interactivity Mediated by a Dynamic Hypermedia Device
Bibliographic record
Abstract
This paper describes the first prototype of an integrated tool that assists people in monitoring and analytical evaluation of interactivity, mediated by a Dynamic Hypermedia Device (DHD). To carry out this practice, the basic technological elements are explained, as well as a model which takes into account experiences related to the addition of new components in implementations solved for this kind of framework. Furthermore, it is also explained how the tool articulates the simulation results obtained from a runtime DEVS (Discrete Event System) that integrates the metrics needed for flexible weights. All the technological developments have been adapted to the educational platform MOODLE as well as to SAKAI collaborative environment. To exemplify this development, a use case has been presented providing functional features and details that outline the methodological steps of the model from the final users’ perspective. Thus, an analysis which enables qualitative versatile units in terms of levels of interactivity to the DHD has been achieved.
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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 | 0.001 | 0.000 |
| 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 | 0.013 |
| Open science | 0.000 | 0.000 |
| 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 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".