New tools for new literacies research: an exploration of usability testing software
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
Competency in the new literacies of the Internet is essential for participating in contemporary society. Researchers studying these new literacies are recognizing the limitations of traditional methodological tools and adapting new technologies and new media for use in research. This paper reports our exploration of usability testing software to observe the Internet literacy practices of adolescents during homework tasks. Data consisted of visual screens capturing all activity, including students’ faces, and oral think‐alouds carried out as students did their homework. Using this software for data collection resulted in a more in‐depth view of Internet literacy practices than what could be obtained by traditional methods. Students could work in their own homes and control recordings. Built‐in data analyses and presentation components were also beneficial. However, time and cost considerations for the researcher became apparent. Most importantly, new ethical issues arise with the use of new research tools such as privacy and ‘incidental data’.
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 | 0.016 | 0.126 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| 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