01828nas a2200337   4500000000100000008004100001260001200042653002800054653002800082653003100110653001000141653002600151653003400177653003800211653001300249653001900262653001900281653001900300653002600319653001300345653001300358653002400371100001200395700001500407700001600422245008000438856011800518300001000636520082200646020002201468                                       d  bEUROSIS10aArtificial intelligence10aArtificial intelligence10aComputer aided instruction10adance10aHistoric preservation10aIntangible cultural heritages10aIntelligent learning environments10aLearning10aModal analysis10aMotion capture10aMotion-Capture10aStudent s performance10aStudents10aTeaching10aVirtual instructors1 aPenny y1 aJames Birt1 aMuqeem Khan00aGlide: towards an intelligent kinesthetic learning space for teaching dance  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84898977126&partnerID=40&md5=0ff9fd8e9f32afebe0f0518b200d4ee4  a81-823 aIn this paper we present the overview for a proposed artificially intelligent learning environment which instructs dance. The Guided Learning and Immersive Dance Environment (GLIDE) will teach dance via a virtual instructor that senses student movement in the real world via a Microsoft Kinect. As a student attempts to mimic the movements of the instructor the system will extract skeleton movement and joint rotations to evaluate the dance performance. The analysis of the student s movements will be fed into the system s artificial intelligence which will provide real-time feedback and customised targeted instruction to assist in bettering the student s performance. This technology has far reaching application from tradition dance instruction to preservation and dissemination of intangible cultural heritage.  a978-90-77381-75-5