Reading Comprehension and Behavior in Children Using E-books vs. Printed Books
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 purpose of this research is to investigate the influence that personalized, gamified, and PDF electronic reading practices have on the attitudes which fifth-grade students possess toward e-reading experiences, as well as how these stances affect the students' motivation and reading comprehension while they are learning English as a second/foreign language (EFL). For the purpose of the study, there were a total of 84 fifth-grade kids from public schools in Greece, who participated. These students were split up into three different experimental groups and a control one. Participants in the experimental groups read throughout the treatment period according to a preset schedule using one of three diverse electronic reading formats (PDF, gamified, or customized), whilst participants in the control group read utilizing a paper guided reading plan. The participants' experiences playing video games online were analyzed via a technique called the quasi-experimental approach. According to the findings of the research, the experimental group and the control group did not significantly vary from one another in terms of their levels of reading comprehension. On the other hand, in comparison to the participants in the control group, those who took part in the experiments reported having more favorable sentiments regarding their electronic reading experiences and were more inspired to read. As indicated from the research findings, kids may experience an increase in their desire to read when they use electronic gadgets. This study has implications for educators and policymakers as they consider incorporating digital reading practices into their teaching methods, particularly when it comes to improving students' motivation to read.
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 | 0.001 | 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 | 0.000 |
| 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