Technological literacy and employment: An inquiry into the adoption of learning technologies
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 the relationship between online learning activities for educational, professional, or personal purposes and employment likelihood using the Information and Communication Technology (ICT) Usage Survey conducted by the Turkish Statistical Institute (TSI) between 2015 and 2023. Utilizing a nationally representative survey, we analyze (1) online course enrollment and (2) online learning engagement (self-learning and communication-based learning activities) and their relationship with being employed. The results highlight that all forms of online learning—course enrollment, self-learning, and communication-based learning activities—positively influence employment. Regarding the magnitude of the effects, online learning engagement is as useful as online course enrollment, underscoring the importance of engagement that can supplement formal or structured learning methods. Furthermore, online learning activities benefit disadvantaged labor groups such as female and older workers more. The findings emphasize the potential of online learning activities to promote lifelong learning and mitigate barriers to employment, particularly among older individuals and women. Considering these dynamics, this study allows policymakers and practitioners to develop more effective strategies to address gender disparities and foster inclusive workforce participation. • Individuals engaging in online learning activities are more likely to be employed. • Online learning engagement is as useful as online course enrollment, underscoring the importance of communication via online tools and interactive learning experiences that can supplement formal or structured learning methods. • A significant portion of the observed rise in employment linked to online education can be attributed to increased participation in the labor force. • Online education shows greater benefits for older individuals, potentially mitigating age-related barriers to employment and promoting lifelong learning. • Online education has a stronger impact on women's employment, suggesting it can help address gender disparities in the job market by enhancing women's employment prospects.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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