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Situated Learning

created 2026-08-16 · updated 2026-09-30

Situated Learning — the theory, rooted in the early-1990s work of Lave and Wenger (1991), that learning is not an isolated, decontextualized act but occurs through participation in authentic activities, contexts, and cultures. Knowledge is co-constructed by learners and peers within communities of practice, and novices learn through legitimate peripheral participation — absorbing the culture, language, and practices of expert members as they move from the periphery to the center of a community. Emphasis falls on learning by doing in real-world situations, where Assessment emerges from the task itself rather than being separated from it.

Questions to Consider

  • Think of something you genuinely know how to do well — a skill, a trade, a craft. Did you learn it mostly from abstract instruction or from participating in a real community that did that thing? What does that suggest about where knowledge actually lives?
  • Lave and Wenger describe novices learning through 'legitimate peripheral participation' — starting at the edge of a community of practice and moving inward. Where have you watched (or been) such a newcomer, and what let them move from the periphery to the center?
  • If knowledge is 'situated' in authentic contexts, what does that imply for the traditional classroom, which deliberately separates learning from real-world situations — and for AI tools designed to deliver decontextualized content?
  • The page treats situated learning as a design lens for AI. How might an adaptive system or simulation ground learning in authentic practice rather than pulling it out of context?
  • What obstacles does the research say stand in the way of situating AI-driven learning in real contexts, and which of those have you seen in your own institution?

Introduction

Situated learning is one of the activity-and-context theories within the knowledge base's Learning Theories strand. It takes up Vygotskian themes of social construction but adds a strong emphasis on the intimate integration of "doing" and "learning" and on the importance of communities of practice. As an educational stance it confronts traditional, standardized schooling by foregrounding the learner's sociocultural context as a key element for acquiring skills and appropriating knowledge relevant to their reality.

In the AI-in-education literature, situated learning matters because it provides a design lens for AI: adaptive systems, intelligent tutoring in authentic scenarios, and immersive simulations can ground AI-driven education in real-world contexts, while situated learning in turn offers AI a meaningful anchor in authentic practice and complexity. The two are widely treated as complementary, with human guidance remaining essential for ethical grounding.

Situated learning as a design lens for AI

The knowledge base's research treats situated learning not merely as an abstract theory but as a concrete design and evaluation framework for AI in education:

Situated learning connects closely to Embodied Learning (both stress the grounding of cognition in context and action), Distributed Cognition (learning distributed across people, tools, and contexts), Experiential Learning, and Constructivism theory. In AI education it grounds the critique of decontextualized, disembodied learning: AI design that keeps learners anchored in authentic practice preserves the situatedness that durable learning requires.

Connected Concepts

Connected Articles

Metadata

Learning and instructionConstructivism, Experiential Learning, Learning Theories, Situated Learning, Sociocultural Learning
Foundations of AI in educationAI in Education, Learning Design
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