Activity Theory provides a strong analytical lens to study workplace learning technologies π’π. It emphasizes the dynamic relationships between people, tools, tasks, and organizational rules, helping explain how learning naturally emerges through everyday work activities.
Generative AI conversational agents π€π¬ are reshaping workplace learning by acting as intelligent assistants. They enable real-time problem-solving, personalized support, and continuous knowledge access, allowing employees to learn while performing tasks more efficiently ⚙️✨.
Applying Activity Theory to generative AI reveals both benefits and tensions ππ. It uncovers how AI influences collaboration, responsibility, and learning outcomes, guiding organizations to implement AI-driven learning tools that are ethical, effective, and human-centered π€π.
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