Teaching Shakespeare in the Digital Age: The eZoomBook Approach
Bibliographic record
Abstract
<p>What collaborative process can teachers offer in order to stimulate their students’ reading of and writing on Shakespeare’s plays? How can new technologies contribute to facilitating the classroom experience? The eZoomBook (eZB) template was designed for teachers to create and share multi-level digital books called “eZoomBooks” that allow readers to access enriched versions of the original, organized according to different tabs related to places mentioned in the original text. A zooming in and out function enables the readers of the eZoomBooks to navigate freely between the original and the enriched tabulated versions. This paper focuses on a pilot study of the methodology using a simplified version of the template. The targeted learners were English as a Second Language engineering students. Our objective is to show that the eZB framework and pedagogical applications are especially appropriate in making a difficult subject easier to teach (giving and correcting group assignments) and learn by providing learners an innovative and motivating approach to reading literature.</p>
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".