A Smart Learning Environment combines elements of digital with offline learning. This synthesis presents challenges both in the use of digital tools and content and in the development of hybrid learning designs that seek to combine online and offline in a meaningful and engaging way. A central aspect of this is quality assurance, which is intended to ensure that digitally enhanced learning opportunities are created, that the competence development of students is promoted in the best possible way, that the curriculum is appropriate and that students have room for exchange (social learning). In addition, overarching frameworks such as the ECTS Users' Guide must be taken into account to enable standardization and cross-institutional recognition in the European Higher Education Area (EHEA). While approaches to smart learning scenarios only seem to gain real momentum with COVID-19 in the EHEA, a first strategic initiative of the Chinese government in 2008 already created overarching dynamics in the Greater China region. Focusing on competence development in the field of Artificial Intelligence, this and following regional initiatives brought smart learning to meanwhile more than 500 Chinese schools and universities, which a few years later contributed to innovations in fields such as robotics and image recognition. The talk will explore how innovative digitally enhanced learning provision can be developed and embedded in a Smart Learning Environment that focuses on the learners' needs. Tools and formats will be presented that, for example, take greater account of informal learning by using microlearning formats to create a more holistic and engaging learning experience. This will be discussed specifically against the background of the current use of digital tools and content in HEI contexts and how these new features can be interlinked to offline events in a meaningful and quality-assured way in the phase after COVID-19. As a basis, examples and application scenarios from China and more concretely on Kiron Campus and the AI Campus are outlined and discussed. In addition, design principles will be presented that enable quality assurance and structured embedding of smart learning, which will be described in the forthcoming "QA Manual for Digital Enhanced Learning" from Kiron and KI-Campus.