What are the key components of the AI-enabled upskilling conceptual model described in the chapter?
The AI-enabled upskilling conceptual model is described as an iterative learning process whose key components are identifying skill needs, delivering adaptive content, providing just-in-time performance support, offering continuous feedback, and ensuring integration with the organization's strategic goals.
According to the chapter conclusion, the AI-enabled upskilling conceptual model aligns with an iterative learning process. Its components are: identification of skill needs, delivery of adaptive content, provision of just-in-time performance support, continuous feedback, and integration with organisational strategic goals. The chapter also links this model to a strategic readiness model that evaluates an organisation's readiness in technical, cultural, and ethical terms, but the conceptual model itself centers on those five iterative learning components.
Key points
- Identifies skill needs.
- Delivers adaptive content.
- Provides just-in-time performance support.
- Offers continuous feedback.
- Ensures integration with organisational strategic goals.
Related questions
AI-Enabled Workforce Management for Hybrid Workplaces
Unknown
IGI Global Scientific Publishing