Activity Theory provides a strong analytical lens to study workplace learning technologies 🏢📘. 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 🤖💬 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 🔍🚀. 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 🤝📚.
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