Research on Construction Paths of Digital Textbooks on British and American Literature under the Background of the Digital Transformation of Education
Bibliographic record
Abstract
Against the backdrop of the digital transformation of global higher education, digital textbooks on British and American literature, as core resources in university foreign-languages education, hold significant importance for improving teaching quality, cultivating students’ digital literacy, and promoting educational equity.Presently, the development of digital textbooks on British and American literature confronts multi-dimensional challenges. Therefore, this research points out that drawing upon an interdisciplinary perspective that integrates educational technology, comparative literature, and curriculum theory, this research utilizes literature analysis, case studies, and empirical research to put forward solutions. These methods include establishing a writing standard system based on the principle of “standards first”, surmounting the limitations of single-text formats by constructing an integrated resource architecture, and designing platforms with a closed-loop system integrating teaching, management, and feedback. Universities should collaborate with multiple stakeholders to formulate evaluation standards for textbook development, construct dynamic digital resource repositories based on national resources, promote the integration of textbook platforms and smart teaching platforms, and develop interactive functional modules.Theoretically, this research enriches the framework of digital textbook development in foreign-language disciplines and presents a novel interdisciplinary paradigm for digital education research. Empirically, it provides implementable strategies for the development and iteration of digital textbooks on British and American literature, which contributes to the enhancement of course quality and the cultivation of students’ competencies. Moreover, it offers valuable perspectives for the development of digital textbooks in other humanities disciplines and the extensive digital transformation of humanities education in higher education.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.001 | 0.000 |
| 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 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".