Using the reading sciences and technology for teaching and learning in the Global South
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 the Global South, persistent literacy challenges have been exacerbated by schooling disruptions during the pandemic and afterwards. Addressing this problem requires teachers who both understand how to teach reading, and can implement it effectively and efficiently. This research examines the effects of an intervention combining a technology-based teacher professional development and implementation of new knowledge and skills and ABRA-READS interactive literacy software in early-primary classrooms in Kenya and Rwanda. Participants were 22 teachers and 1341 students from Kenya and 20 teachers and 1002 students from Rwanda. This quasi-experimental research featured the experimental teachers who implemented the intervention and their matching control teachers who taught reading in their usual way. Student reading outcomes were analyzed using hierarchical linear models (HLM). Teacher practices were assessed through self-reports, observations and trace data. Teachers shifted toward more student-centered instruction that incorporated decoding and comprehension, and students demonstrated significant reading improvements across gender and ability groups. Struggling readers in experimental classes made the largest gains, closing the gap with higher-reading peers in control classes. Findings demonstrate that blended TPD instruction, combined with ABRA-READS software, can positively change classroom practice and improve all students’ reading abilities. This intervention offers a promising a strategy to mitigate learning disadvantages early by offering students equal opportunities to succeed. While the global crisis in education, especially in LMICs, persists, this research suggests a solution. • Since the pandemic, more children in the Global South lack foundational lieracy skills. • These studies tested blended teacher training and implementation of literacy software in Kenya and Rwanda. • The intervention improved teacher practices, fostering student-centered, balanced literacy instruction. • All students benefited from the intervention, especially struggling readers.
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 | 0.001 | 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 | 0.000 | 0.000 |
| 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