Multimedia Learning of Metacognitive Strategies
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
The collaboration principle in multimedia learning, which consists of three related sub-principles, determines when and under what conditions collaboration will positively affect learning in a multimedia environment. Flashmeeting is an example of multimedia collaborative environment that allows for tasks of various complexities to be carried out (Principle 1) and stimulates groups cognitive processes (Principle 2) by providing tools for real-time group work (with synchronous sound, pictures, text, etc.), a repository for sharing documents, and even recording facilities for the meeting, making information available to all participants asynchronously after the meeting has taken place (Principle 3). Collaboration in multimedia learning is effective when the distribution of tasks is such that the cognitive processes involved in carrying out the tasks and the products of those processes are complementary and/or supplementary. The collaborative principles in multimedia learning rest for a large part on hypotheses and assumptions about cognitive load.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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