The concept of intelligent learning does not yet have a clear and unified definition, however Gwak (2010) proposed a concept of intelligent learning as follows: first, it is learner-centered and content rather than devices; second, it is effective, intelligent, and effective, intelligent, and adaptive learning based on advanced IT infrastructure. and Lee et al. (2014) proposed that the characteristics of smart learning include formal and informal learning, social and collaborative learning, personalized and situated learning, and application and content focus.

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Smart Learning Features

The Smart learning ideal is characterized by proposing a model centered on the learner (the student), with a personalized and adaptable learning solution, using interactive and collaborative tools as support. This type of learning aims to promote and support the development of effective, efficient and meaningful learning.

Smart learning environments have the following characteristics:

1. Presence awareness: Knowing the location of participants in real time.
2. Contextual Awareness: Explore different scenarios and activity information.
3. Social awarenessSense the social relationship.
4. Interoperability: Establish a standard between different resources, services and platforms.
5. Connectivity: Provide continuous service when any device is connected.
6. Adaptability: Boost learning resources based on access, preference, and learning demand.
7. Ubiquity: Provide a visual and transparent way to access learning resources and related services.
8. Learning monitoring: Record learning trajectory data for in-depth analysis. After being evaluated propose suggestions and provide on-demand service.
9. Natural Interaction: Transfer multimodal interaction senses including position recognition and facial expression.
10. High Engagement: Encourage immersion in interactive, multidirectional learning experiences based on technologically rich environments.