Digital Skills for Elderly People: A Learning Experiment in Four European Countries
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
The problem of learning digital skills among the elderly addressed in this paper is focused on a methodology that tries to overcome the barriers in adoption of touchscreen digital technology faced by older adults, by using a game-based learning approach. The paper provides an overview of some early results and findings from an exploratory study among the elderly from four European countries based on the use of touchscreen tablets for playing games as a pre-course activity for learning how to use a smart phone. The learning was carried out with pre-selected games designed to enhance the motor skills of the players and improve the coordination between cognitive and motor skills capacity. The results presented in the paper were collected within the partners of the project GIRDA – Gameplay foR Inspiring Digital Adoption from the European ERASMUS+ programme. The paper describes the research setting, the experiments and the results accompanied by discussion and the conclusion.
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| 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