Fostering Low English Proficiency Learners’ Reading in a Freshman EFL Reading Class: Effect of Using Electronic and Print Textbooks on Taiwanese University Students’ Reading Comprehension
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 study investigated differences in university students’ academic reading comprehension performance, reading strategy use, and perception of the effects of two textbook mediums. Eighty-one students participated in this study. Two textbook formats, hard copies and soft copies of the same textbook were used. A mixed-method research design was used for data collection with paired sample t tests adopted to compare the reading comprehension of two textbooks versions in immediate learning and summative learning on the same group of students, and a questionnaire and semi-structured interviews were employed to probe students’ perceptions. The results indicated that the participants performed no differently on the summative reading comprehension tests, but performed significantly better on immediate tests using the e-textbook. The questionnaire and the interviews showed that half of the respondents still preferred to use print compared to e-textbooks. This study concluded that e-textbooks were not yet positioned to replace print textbooks for university students in Taiwan. Nonetheless, pedagogically, since e-textbooks provide more interactive features than print, they should be considered an integral part of reading instruction.
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 | 0.000 | 0.010 |
| 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 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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