One Laptop per College Student? Exploring the Links between Access to IT Hardware and Academic Performance in Higher Education e-Learning Programs
Bibliographic record
Abstract
Abstract In an attempt to foster student integration in virtual education programs, several higher education institutions have launched systematic large-scale hand-outs of personal computers, inspired by the “One Laptop per Child” distribution model. However, the level of impact of these initiatives on academic performance is not yet well understood. This article aims to explore student responses to changing levels of access to IT hardware, applying multiple correspondence analysis. Some of the broader socio-economic factors affecting education are also examined. Resume Dans le but de favoriser l'integration des etudiants aux programmes d'enseignement virtuel, quelques etablissements d'enseignement superieur ont distribuees des grandes quantites d'ordinateurs personnels a ses etudiants, suivant le modele de distribution du projet One Laptop per Child. Cependant, les effets de ces initiatives sur le rendement scolaire ne sont pas encore bien compris. Cet article vise a evaluer le rendement des etudiants vis-a-vis ses differents niveaux d'acces aux ordinateurs, en appliquant l'analyse des correspondances multiples. Des facteurs socio-economiques qui influent sur l'education seront aussi explores.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".