How Do Elementary Teachers Study and Learn from a Multimedia Model of Reading Development? An Exploratory Eye-Tracking Study.
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
This exploratory study used eye-tracking methodology to examine how elementary teachers study a multimedia model of reading development. Seven experienced teachers and 11 pre-service teachers participated. Visual attention, prior knowledge, and post-task scores were analyzed using quantitative and qualitative methods. Significant differences between the two groups were found with respect to fixations, scan paths, and pre- and post-task scores. Where experienced teachers focus their attention and the paths of their visual behaviour can inform the design of material that supports novice teachers’ understanding of how children learn to read. Keywords: teacher learning, multimedia learning, eye-tracking methodology, reading development, reading instruction
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it