Global trends in Braille literacy and assistive technologies: A bibliometric analysis (1985–2024)
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
This study investigates global research trends in Braille literacy and assistive technologies from 1985 to 2024, highlighting persistent challenges such as limited access to cost-effective solutions, disparities in research participation, and inadequate teaching resources for visually impaired learners. Despite advancements in technology, barriers including high costs and lack of infrastructure hinder equitable implementation, particularly in low-resource settings. Using bibliometric analysis of 225 publications from Scopus, this research identifies trends, geographic contributions, and thematic advancements. This study is a scientific paper that presents an analysis of research on strategies for improving reading and writing among the blind, and results show that research in this area is increasing, with the highest contribution coming from the United States, Canada and Malaysia. Emerging trends such as “e-learning” and “3D printing” indicate that technology is playing a significant role in providing alternative strategies for teaching Braille reading and writing, thus, this study has the potential to bring about a paradigm shift in teaching and learning among the blind. This study is significant as it not only identifies key research findings but also recommends the use of low-cost materials to develop motor skills and tactile sensitivity, and this can ensure a wider access to individuals from different socioeconomic backgrounds. Furthermore, it also recommends the development of pedagogical books to facilitate initial reading and writing of Braille, because this study is based on the United Nations Sustainable Development Goal 4, which advocates for ensuring that all individuals have equal access to quality education. The study recommends collaboration and ideas which can be scaled up; therefore, this is necessary to ensure the effective learning and reading of the blind, so it is essential to implement these recommendations to achieve the desired outcomes.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.039 | 0.105 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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