Living in the iWorld: Two Literacy Researchers Reflect on the Changing Texts and Literacy Practices of Childhood.
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 article we document observations of our own young children's usage of technology in their out-of-school worlds. How might these technologies and practices be changing the understandings and usage of texts and literacies of the children who enter into classroom spaces? What transformative possibilities might these home technology practices announce for teaching and learning within classroom environments? In both Canadian and Australian curriculum documents, as well as in OECD reports, the need to develop innovative approaches to educational practices and the inclusion of digital technologies is acknowledged as necessary in facing 21 st century challenges. We provide examples linking to media news stories in both countries, addressing the use of touch-screen technologies in schooling and examine how these presentations are very different from the practices we have observed in our homes, where the children have relative openness and freedoms with their device usage. Within the article we demonstrate, using media links and images, the ways in which our own children have begun to navigate digital devices and texts and to create new sorts of narratives that open possibilities for literacies in multiple ways, as creators, designers, and experts. We argue that, once translated into classroom practice, technological tools tend to be domesticated by practices that resist the transformative affordances of these tools, and may even provide barriers to student engagement and practice. Finally, we conclude the article by making some practical suggestions for creating opportunities for transformative technology use in education.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 it