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It outlines the scale and growth of Canadian higher-education activity and international student contributions, then argues that much generated data remains under-analyzed due to inadequate data warehousing. The discussion highlights privacy, confidentiality, and copyright regulations as key barriers to building a workable mining research interface.",{"@graph":69,"@context":121},[70,84,104],{"@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/implications-and-challenges-to-using-data-mining-in-educational-research-in-the-canadian-context/596504/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":98,"encodingFormat":97,"isAccessibleForFree":99,"interactionStatistic":100},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/implications-and-challenges-to-using-data-mining-in-educational-research-in-the-canadian-context/596504.png","ImageObject",300,407,{"name":92,"@type":93},"Alexandar","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-15",true,{"@type":101,"interactionType":102,"userInteractionCount":4},"InteractionCounter",{"@type":103},"ViewAction",{"@type":105,"mainEntity":106},"FAQPage",[107,113,117],{"name":108,"@type":109,"acceptedAnswer":110},"Why is data mining difficult to apply in Canadian educational research?","Question",{"text":111,"@type":112},"The paper attributes difficulties to inadequate data warehousing and restrictions created by privacy, confidentiality, and copyright regulations.","Answer",{"name":114,"@type":109,"acceptedAnswer":115},"What problem does the paper identify with how educational data is handled?",{"text":116,"@type":112},"Most generated data goes unprocessed, and even processed data is limited to specific questions rather than analyzed from a connected, big-picture perspective.",{"name":118,"@type":109,"acceptedAnswer":119},"How does the paper justify the potential value of data mining?",{"text":120,"@type":112},"It argues that systematically analyzing large amounts of data from Canadian universities could reveal trends and changes in higher education institutions.","https://schema.org",{"og:url":83,"og:type":123,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":125,"canonical":83},"index,follow",{"doc_id":127,"site_id":62},596504,1792083201,{"code":4,"msg":5,"data":130},{"doc_id":127,"user_id":131,"nickname":92,"user_avatar":132,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":133,"file_id":134,"file_url":135,"file_type":136,"file_size":137,"view_count":4,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":56,"language":138,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":139,"faqs":140,"seo_title":141,"seo_description":67,"update_tm":128,"read_time":142},962090768658,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","Implications and Challenges to Using Data Mining in Educational  \nResearch in the Canadian Context  \nSamira ElAtia  \nUniversity of Alberta  \nDonald Ipperciel  \nUniversity of Alberta  \nAhmed Hammad  \nHMD, Project Management Services  \nAbstract  \nCanadian institutions of higher education are major players on the international arena for educating future generations and producing leaders around the world in various fields. In the last decade, Canadian universities have seen an influx in their incoming international students, who contribute over $3.5 billion to the Canadian economy (Madgett & Bélanger 2008, p. 195) . Research in Canadian post-secondary institutions is booming, especially in education (SSHRC, 2011)—for the academic year 2010-2011, of the 12 subject areas, the total SSHRC funding for projects in education, ranked fourth, exceeding $27 million. All of these variables place Canadian higher education in a leading and strategic position in several educational research fields. One can imagine the wealth of knowledge about trends in higher education that could be revealed if the large amount of data generated by Canadian universities were systematically analyzed and handled using techniques such as data mining. However, not much can be achieved from the unharnessed knowledge accumulated on a daily basis, as the advancement of data mining research that would provide the ultimate tool to learn about trends and changes in Canadian institutions is often held back by inadequate data warehousing, as well as by privacy, confidentiality, and copyright regulations. In this paper, we engage in a critical discussion/analysis of the interface between data mining research in higher education and the legal implications of such a tool.  \nCANADIAN JOURNAL OF EDUCATION 35, 2 (2012): 101-119 ©2011 Canadian Society for the Study of Education/ Société canadienne pour l’étude de l’éducation  \nRésumé  \nLes établissements canadiens d'enseignement supérieur jouent un rôle majeur sur la scène internationale dans l'éducation des générations futures et dans la formation de leaders dans divers domaines à travers le monde. Au cours de la dernière décennie, les universités canadiennes ont connu un afflux d'étudiants internationaux, qui contribuent plus de 3,5 milliards de dollars à l'économie canadienne (Bélanger & Madgett 2008, p. 195) . La recherche dans les institutions canadiennes d'enseignement postsecondaire est en plein essor, en particulier en matièred'éducation (CRSH, 2011) - pour l'année académique 2010-2011, parmi les 12 domaines de recherche, le financement total du CRSH pour les projets portant sur l'éducation, au quatrième rang, s'élevait à plus de 27 millions de dollars. Toutes ces variables placent l'enseignementsupérieur canadien dans une position stratégique et de premier plan dans plusieurs domaines de recherche en éducation. On peut imaginer la richesse des informations sur les tendances dans l'enseignement supérieur qui pourrait être révélée si la masse de données générée par les universités canadiennes était systématiquement analysée et traitée en utilisant des techniques telle que l'exploration de données. Cependant, on ne peut guère obtenir grand chose à partir des informations accumulées sur une base quotidienne, étant donné que l'avancement de la recherche à exploration de données, qui serait l'outil ultime pour en apprendre davantage sur les tendanceset les changements dans les institutions canadiennes, est souvent freinée par un entreposage de données insuffisant, ainsi que par les règlementations sur la protection des renseignements personnels, la confidentialité et le droit d'auteur. Dans cet article, nous engageons une discussion et une analyse critiques de l'interface entre la recherche à exploration de données dans l'enseignement supérieur et les implications juridiques d'un tel outil.  \nImplications and Challenges to Using Data Mining in Educational Research in the  \nCanadian Context  \nIntroduction  \nAccording to The E","cbCaij8BvuZrgvyP","https://ap.wps.com/l/cbCaij8BvuZrgvyP","pdf",202112,"English","# Abstract\n## Background and data growth\n## Underuse of collected data\n## Barriers: warehousing and legal implications","[{\"question\":\"Why is data mining difficult to apply in Canadian educational research?\",\"answer\":\"The paper attributes difficulties to inadequate data warehousing and restrictions created by privacy, confidentiality, and copyright regulations.\"},{\"question\":\"What problem does the paper identify with how educational data is handled?\",\"answer\":\"Most generated data goes unprocessed, and even processed data is limited to specific questions rather than analyzed from a connected, big-picture perspective.\"},{\"question\":\"How does the paper justify the potential value of data mining?\",\"answer\":\"It argues that systematically analyzing large amounts of data from Canadian universities could reveal trends and changes in higher education institutions.\"}]","Implications and Challenges to Using Data Mining in Educational Research in the Canadian Context | PDF",48]