[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-593547-105":59,"doc-detail-593547-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","australian-journal-of-teacher-education-issue-2-a-study-of-childrens-musical-preference-a-data-mining-approach","Australian Journal of Teacher Education - Issue 2 - A Study of Children’s Musical Preference: A Data Mining Approach","","Musical preference is a long-standing focus in music education, and prior work highlights its role in shaping children’s musical learning experiences. Research on early childhood education remains limited, especially when comparing children’s musical preferences across both East and West contexts, and when applying data-mining methods. This study addresses these gaps by analyzing Hong Kong and South Australia datasets using Self Organising Maps (SOM), expanding earlier work to uncover insights not previously identified.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/australian-journal-of-teacher-education-issue-2-a-study-of-childrens-musical-preference-a-data-mining-approach/593547/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/australian-journal-of-teacher-education-issue-2-a-study-of-childrens-musical-preference-a-data-mining-approach/593547.png","ImageObject",300,407,{"name":92,"@type":93},"Jasmine","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-09","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What is the main objective of the study?","Question",{"text":113,"@type":114},"The study aims to examine children’s musical preference in Hong Kong and South Australia by applying a data-mining technique (Self Organising Maps, SOM).","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Why does the study use Self Organising Maps (SOM)?",{"text":118,"@type":114},"SOM is a clustering method that groups similar data objects, enabling deeper investigation into existing datasets to uncover insights about musical preference.",{"name":120,"@type":111,"acceptedAnswer":121},"How does the paper position itself relative to earlier research?",{"text":122,"@type":114},"It expands a previous study (Yim & Ebbeck, 2009) by conducting deeper investigations into the existing datasets to identify insights not found through earlier data-mining approaches.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},593547,1792171659,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":145,"read_time":146,"preview_page_count":4},2336478487870,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Australian Journal of Teacher Education  \n\n| Volume 39 | Issue 2 | Article 2 |\n| --- | --- |\n| 2014\u003Cbr>A Study of Children’s Musical Preference: A Data Mining Approach\u003Cbr>Hoi Yin Bonnie Yim\u003Cbr>Deakin University, [b.yim@deakin.edu.au](b.yim@deakin.edu.au)\u003Cbr>Yee Ling Boo\u003Cbr>Deakin University, [yee.boo@deakin.edu.au](yee.boo@deakin.edu.au)\u003Cbr>MarjoryEbbeck\u003Cbr>University of South Australia, [Marjory.Ebbeck@unisa.edu.au](Marjory.Ebbeck@unisa.edu.au) |  |\n\nRecommended Citation  \nYim, H., Boo, Y., & Ebbeck, M. (2014). A Study of Children’s Musical Preference: A Data Mining Approach. Australian Journal of Teacher Education, 39 (2).  \nRetrieved from [http://ro.ecu.edu.au/ajte/vol39/iss2/2](http://ro.ecu.edu.au/ajte/vol39/iss2/2)  \nThis Journal Article is posted at Research Online.  \n[http://ro.ecu.edu.au/ajte/vol39/iss2/2](http://ro.ecu.edu.au/ajte/vol39/iss2/2)  \nAustralian Journal of Teacher Education  \nA Study of Children’s Musical Preference: A Data Mining Approach  \nHoi Yin Bonnie Yim  \n[b.yim@deakin.edu.au](b.yim@deakin.edu.au)  \nYee Ling Boo  \n[yee.boo@deakin.edu.au](yee.boo@deakin.edu.au)  \nDeakin University  \nMarjory Ebbeck  \n[Marjory.Ebbeck@unisa.edu.au](Marjory.Ebbeck@unisa.edu.au)  \nUniversity of South Australia  \nAbstract: Musical preference has long been a research interest in the  \nfield of music education, and studies consistently confirm the  \nimportance of musical preference in one’s musical learning  \nexperiences. However, only a limited number of studies have been  \nfocussed on the field of early childhood education (e.g., Hargreaves,  \nNorth, & Tarrant, 2006; Roulston, 2006). Further, among these  \nlimited early childhood studies, few of them discuss children’s musical  \npreference in both the East and the West. There is very limited  \nliterature (e.g., Faulkner et al., 2010; Szymanska, 2012) which  \nexplores the data by using a data mining approach. This study aims to bridge the research gaps by examining children’s musical preference  \nin Hong Kong and in South Australia by applying a data mining  \ntechnique – Self Organising Maps (SOM), which is a clustering  \nmethod that groups similar data objects together. The application of SOM is new in the field of early childhood education and also in the study of children’s musical preference. This paper specifically aims to expand a previous study (Yim & Ebbeck, 2009) by conducting deeper investigations into the existing datasets, for the purpose of uncovering insights that have not been identified through data mining approach.  \nIntroduction  \nMusic is universal – it crosses the boundaries of cultures and generations. Throughout human history, music exists in every extinct and extant culture. In each cultural context, activities relating to music can be found, such as singing, listening, playing musical instruments or dancing. Whilst these musical activities may serve different roles and functions in different societies (i.e. the East and the West) and circumstances (e.g. celebration, religion and education) nevertheless, and regardless of the boundaries of culture and generation, the majority of us have been engaged in these musical activities since we were born. From an early childhood education viewpoint, music has also widely been regarded as an important ‘food’ that benefits children’s holistic development.  \nThe term ‘music’ in the early childhood education context basically includes the activities such as singing, listening, playing musical instruments and dancing/moving (Kontos, Burchinal, Howes, Wisseh, & Galinsky, 2002; Temmerman, 2000) . In most modernized eastern and western countries, music has also widely been included in their early childhood curriculum guidelines as one of the key learning areas in the Arts – such as the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) (Education and Manpower Bureau HKSAR, 2006), Australia (Department of Education Training and Employment DETE, 2001), the United Kingdom (Qualificat","cbCaiiK3v7FG7TOd","https://ap.wps.com/l/cbCaiiK3v7FG7TOd","pdf",272850,15,"English","# Abstract\n# Introduction","[{\"question\":\"What is the main objective of the study?\",\"answer\":\"The study aims to examine children’s musical preference in Hong Kong and South Australia by applying a data-mining technique (Self Organising Maps, SOM).\"},{\"question\":\"Why does the study use Self Organising Maps (SOM)?\",\"answer\":\"SOM is a clustering method that groups similar data objects, enabling deeper investigation into existing datasets to uncover insights about musical preference.\"},{\"question\":\"How does the paper position itself relative to earlier research?\",\"answer\":\"It expands a previous study (Yim \\u0026 Ebbeck, 2009) by conducting deeper investigations into the existing datasets to identify insights not found through earlier data-mining approaches.\"}]","Australian Journal of Teacher Education - Issue 2 - A Study of Children’s Musical Preference: A Data Mining Approach | PDF",1792077453,38]