[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-501358-105":3,"detail-sidebar-cat-0-en-105":80,"doc-detail-501358-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":73,"head_meta":75,"extra_data":77,"updated_unix":79},105,"en","who-is-using-generative-ai-in-higher-education-data-briefing-july-8-2024","Who Is Using Generative AI in Higher Education - Data Briefing - July 8, 2024","","National survey data briefing examining who uses generative AI in Canadian post-secondary education and how usage, familiarity, and proficiency vary across gender, cultural background, age, and field of study. Reports overall adoption rates and highlights inequities in uptake, including differences by Indigenous status and disparities across social groups. Compares power users with non-users and analyzes how attitudes and concerns relate to learning outcomes, while noting that conditions linking use to positive or negative learning impacts remain unclear.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/who-is-using-generative-ai-in-higher-education-data-briefing-july-8-2024/501358/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/who-is-using-generative-ai-in-higher-education-data-briefing-july-8-2024/501358.png","ImageObject",300,407,{"name":42,"@type":43},"Terk","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-15","2026-10-03",true,{"@type":52,"interactionType":53,"userInteractionCount":33},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"What proportion of Canadian post-secondary students use generative AI, and how often?","Question",{"text":62,"@type":63},"About 20% report using generative AI most or all of the time, 35% use it sometimes, and 45% report never or rarely using it.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"How does generative AI usage differ by gender in the briefing?",{"text":67,"@type":63},"Men are more likely than women to report frequent use, familiarity, and proficiency, while women are more likely to report rarely or never using generative AI. Nonbinary/Two-Spirit respondents report lower usage than both men and women.",{"name":69,"@type":60,"acceptedAnswer":70},"Do power users have different concerns than non-users?",{"text":71,"@type":63},"Power users, who report using generative AI most or all of the time, have similar levels of concern as non-users, even though they show more favourable attitudes toward generative AI in post-secondary settings.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},501358,1791223003,{"code":4,"msg":81,"data":82},"success",[83,87,91,95,100,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":84,"show_sort_weight":85,"slug":86},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":88,"show_sort_weight":89,"slug":90},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":92,"show_sort_weight":93,"slug":94},"Exam",70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":96,"slug":129},19,"General","general",{"code":4,"msg":81,"data":131},{"doc_id":78,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":33,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":108},1099525198933,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Who Is Using Generative AI in Higher Education?  \nData briefing | July 8, 2024  \nContents  \n3  \nKey findings  \n5  \nInequalities in tech adoption  \n6  \nUsage differences by gender, culture, and field  \n9  \nSimilar AI use across ages and institution types  \n10  \nThe profile of power users  \n11  \nImplications for  \npost-secondary institutions  \n12  \nAppendix A  \nMethodology  \n13  \nAppendix B  \nMultiple regression results  \n14  \nAppendix C  \nBibliography  \nThe Conference Board of Canada 2  \nThe Future Skills Centre – Centre des Compétences futures (FSC-CCF) is a forward-thinking centre for research and collaboration dedicated to preparing Canadians for employment success. We believe Canadians should feel confident about the skills they have to succeed in a changing workforce. As a pan-Canadian community, we are collaborating to rigorously identify, test, measure, and share innovative approaches to assessing and developing the skills Canadians need to thrive in the days and years ahead.  \nThe Future Skills Centre was founded by a consortium whose members are Toronto Metropolitan University, Blueprint, and The Conference Board of Canada.  \nIf you would like to learn more about this report and other skills research from FSC, visit us at fsc-ccf.ca or contact [info@fsc-ccf.ca](info@fsc-ccf.ca).  \n[fsc-ccf.ca](fsc-ccf.ca)  \nFunded by the Government of Canada’s Future Skills Program  \nWho Is Using Generative AI in Higher Education?  \nKey findings  \n• A total of 20 per cent of post-secondary students in Canada report using generative artificial intelligence (AI) most or all of the time. Another 35 per cent report using it sometimes, and 45 per cent report never or rarely using it.  \n• Men in our study were more likely to report frequent use of, familiarity with, and proficiency in generative AI compared with women and nonbinary students.  \n• Students with Southeast Asian, Hispanic, South Asian, African, East Asian, and Middle Eastern backgrounds were more likely to report higher use of, familiarity with, and proficiency in generative AI compared with students with European backgrounds.  \n• Use of, familiarity with, and proficiency in generative AI were lower among Indigenous students compared with students with other non-European backgrounds.  \n• Generative AI usage varies across students in different fields of study, with the highest uptake among engineering students.  \n• Power users—those who report using generative AI most or all of the time—have similar levels of concern as non-users about the potential drawbacks of generative AI, despite having more favourable attitudes toward its use in post-secondary settings.  \n• Although greater use is associated with better learning experiences, the conditions under which generative AI usage may lead to positive or negative learning outcomes are still unclear. Post-secondary institutions that want to understand how to optimize this tool should investigate the experiences of students with different needs and attitudes toward AI.  \nThe Conference Board of Canada 4  \nInequalities in tech adoption  \nGenerative artificial intelligence (AI) is changing post-secondary education, and the conversations about potential benefits and drawbacks for teaching and learning are ongoing.  \nWhile institutions scramble to craft policies for generative AI use, one in five students report using it most or all of the time, and 35 per cent report using it some of the time. But how does the uptake of generative AI vary across social groups in the student population?  \nResearch suggests that student engagement with technology differs according to socio-demographic characteristics.1 In this data briefing, we investigate how generative AI use varies across students of different genders, cultural backgrounds, and age groups and in different fields of study and types of institutions. We also examine how attitudes toward generative AI may differ depending on whether students are power users (i.e. , individuals who use genera","cbCaig18H2rFDWhJ","https://ap.wps.com/l/cbCaig18H2rFDWhJ","pdf",5331025,16,"English","# Key findings\n# Inequalities in tech adoption\n# Usage differences by gender, culture, and field\n# Similar AI use across ages and institution types\n# The profile of power users\n# Implications for post-secondary institutions\n# Appendix A: Methodology\n# Appendix B: Multiple regression results\n# Appendix C: Bibliography","[{\"question\":\"What proportion of Canadian post-secondary students use generative AI, and how often?\",\"answer\":\"About 20% report using generative AI most or all of the time, 35% use it sometimes, and 45% report never or rarely using it.\"},{\"question\":\"How does generative AI usage differ by gender in the briefing?\",\"answer\":\"Men are more likely than women to report frequent use, familiarity, and proficiency, while women are more likely to report rarely or never using generative AI. Nonbinary/Two-Spirit respondents report lower usage than both men and women.\"},{\"question\":\"Do power users have different concerns than non-users?\",\"answer\":\"Power users, who report using generative AI most or all of the time, have similar levels of concern as non-users, even though they show more favourable attitudes toward generative AI in post-secondary settings.\"}]","Who Is Using Generative AI in Higher Education - Data Briefing - July 8, 2024 | PDF",1791019073]