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This paper introduces the smart classroom learning model based on the concept of ambient intelligence. By analyzing a smart classroom, the ambient intelligence system detects a student and determines their level of fatigue based on the data about their previous daily academic activities. This information is then used to assign the student the appropriate learning strategy. The paper describes relevant factors for developing the model. The model was tested on a sample of 80 students. By analyzing the information available through ambient intelligence, it was possible to utilize the smart classroom to provide students with the adequate learning strategy in accordance with the criteria compatible with the expected leaning outcomes. The research results have shown positive effects of the application of the ambient intelligence-based smart classroom model on learning results. [ABSTRACT FROM AUTHOR]