02166nam a2200337   4500000000100000008004100001260005700042653004100099653001900140653003100159653001500190653002400205653005200229653005200281653003400333653002600367653002700393653002500420653002200445653002200467653002600489653001300515100001300528700001300541700001200554245009800566856015400664490000700818520098300825020002001808                                       d  bSpringer Science and Business Media Deutschland GmbH10aArtificial intelligence technologies10aChannel design10aComputer aided instruction10aEcosystems10aEducation computing10aIntangible Cultural Heritage into the Classroom10aIntangible cultural heritage into the classroom10aIntangible cultural heritages10aIntelligent education10aIntelligent educations10aKnowledge frameworks10aLearning projects10aLearning resource10aPersonalized learning10aStudents1 aW. Huang1 aJ. Zheng1 aW. Chen00aThe Construction of Intelligent Education for Intangible Cultural Heritage into the Classroom  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85116879622&doi=10.1007%2f978-3-030-70665-4_127&partnerID=40&md5=8abeea9ac5e9720772639be4c25483d80 v883 aThis paper is to build a new ecosystem of Intangible Cultural Heritage into the Classroom intelligent education. And this ecosystem can use artificial intelligence technology to activate learning resources and channels, design personalized learning programs for students, and lead students to build knowledge frameworks independently. Therefore, this article firstly sorts out the elements needed to construct this ecosystem. Then it adds three aspects of personalized learning, intelligent learning environment, and multiple teaching roles based on the 7E model to form the new ecosystem. Finally, by applying the ecosystem to Boluo Cock, Chinese Intangible Cultural Heritage, into the Classroom teaching class for comparative analysis, it was found that the use of the new ecosystem can promote students’ learning motivation, learning participation and learning achievements. Therefore, that analysis proves the feasibility and effectiveness of the ecosystem to some extent.  a23674512 (ISSN)