Investigating E-book Reading Patterns: A Human Factors Perspective
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
In this study, a multimedia e-book system is built and its use monitored in an empirical study investigating various factors which effect learners' reading preferences. 69 fifth-grade students participated in this experiment, one student with an attention deficit hyperactivity disorder was excluded. After three weeks of learning activities, we found that there are differences in browsing patterns, navigation facilities, and annotation patterns in terms of gender. In the cognitive style, holists use bookmarks (tags made by the learner) to navigate more than serialists. Also, regarding annotation patterns, there are statistically significant differences related to the degree of the user's prior knowledge. Parts of the results are similar to those found in previous research, as well as some interesting findings. The findings of this study contribute a deeper understanding of the relationship between human factors and the usage of e-books. This understanding can be applied to develop adaptive e-books that can accommodate learners' individual differences.
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 | 0.000 |
| 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 | 0.001 | 0.002 |
| 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