The digital reading path: researching modes and multidirectionality with iPads
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
Abstract This paper reports a study that examines the integration of tablet technologies such as iPads into literacy lessons to investigate how reading and meaning‐making occur within this digital medium. Specifically in this paper, we discuss the concept of reading paths as applied to physical and cognitive planes of meaning‐making. The paper reports on data collected as part of a Social Sciences and Humanities Research Council (SSHRC) funded project involving researchers from Canada, the United States and Australia. The study is currently under way in schools in the three different countries where the researchers are observing students in classrooms in primary and secondary schools. The research is designed with a mixed methods approach coding video footage of dyads to enable close study of their interaction during literacy tasks incorporating iPads. Our findings show that the affordances of touch technology allow for multimodal, multidirectional reading paths. By tracking students' interactions with the digital platform through touch, it is possible to see navigation as evidence of the relationship between material and cognitive processes, which fosters metatextual awareness. These aspects of modes and new literacies construct a dynamic materiality for students' reading and writing. As a result, we propose that current awareness of the mode of gesture needs to be expanded to take into account haptic ways of learning.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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