Textbook Digitization: A Case Study of English Textbooks in China
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 continuous promotion of e-teaching materials in the international education community prompted the Chinese government to incorporate the use of e-teaching materials in its educational system in 2010. This article introduces the different definitions of e-teaching materials in Chinese and international academia, analyzes the benefits and shortcomings of e-teaching materials by using the 2019 version of the English textbook for high school from The People’s Education Press. The study employs content analysis to provide an in-depth interpretation of how task setting in three textbooks reflects an inclination towards e-teaching materials from four aspects: listening, speaking, reading, and writing. Randomly selected units in three textbooks are used to discuss how digital elements contribute to the textbooks and to the emergence of the e-learning trend. Although China’s textbooks are not fully digitalized, a variety of teaching contexts, resources, and content connotations that appear in existing textbooks indicate that e-learning is now an essential element in Chinese English-learning textbooks.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it