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How to evaluate the relationship between self-efficacy, artificial intelligence literacy, and lifelong learning for career resilience among older employees?

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Caleb Jenkins
2025年7月10日
How to evaluate the relationship between self-efficacy, artificial intelligence literacy, and lifelong learning for career resilience among older employees?

How to evaluate the relationship between self-efficacy, artificial intelligence literacy, and lifelong learning for career resilience among older employees?

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Greta Fox
2025年7月10日

You are most welcome.

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Caleb Jenkins
2025年7月10日

Thanks a lot. I have learned more.

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Greta Fox
2025年7月10日

Evaluating the relationship involves:
1. Multi-dimensional scaling: Use validated scales (e.g., General Self-Efficacy Scale, AI Literacy Questionnaire) to measure self-efficacy and tech competence, alongside lifelong learning indicators (course enrollment, skill-upgrading frequency).
2. Structural equation modeling (SEM): Test how self-efficacy and AI literacy directly/indirectly influence career resilience via lifelong learning, controlling for age, tenure, or industry factors.
3. Longitudinal case studies: Track older employees over 1–3 years, analyzing how changes in AI literacy and self-efficacy correlate with adaptive learning behaviors (e.g., upskilling for automation) and career stability.

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