{"title":"探索数字技能提升差异的内在因素","authors":"Rodney McCrowre, Burcu Adivar","doi":"10.1177/09504222241249078","DOIUrl":null,"url":null,"abstract":"This study aims to analyse the impact of demographic and educational factors on in digital upskilling. We address the relationship between digital skills, critical thinking skills and the student learning experience in courses with embedded upskilling programs. Statistical analysis and exploratory research are used to analyse the data collected by the digital fitness app developed by a global company leading digital talent transformation. Our research identified the following demographic indicators that have influenced individuals’ digital upskilling: Gender, Race, Residency, Pell-eligibility, Age, in addition to six academic indicators including department, major, class level, first-time freshman, High School GPA and ACT score. Discussion of findings and future research directions would lead to novel research articles focusing on longitudinal studies to assess digital skills. Also, this study shows the need for a new assessment tool to expand the scope and the sample size of the study. This article provides a valuable guidance for policy makers, higher-education institutions, educators, students, and employers, who are looking for digital talent or skill sets needed for digital transformation. The main contribution lays in data collection and analysis. This is the first study using a globally accepted digital talent assessment tool to collect data at a minority serving institution.","PeriodicalId":46591,"journal":{"name":"Industry and Higher Education","volume":"159 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring underlying factors for variations in digital upskilling\",\"authors\":\"Rodney McCrowre, Burcu Adivar\",\"doi\":\"10.1177/09504222241249078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to analyse the impact of demographic and educational factors on in digital upskilling. We address the relationship between digital skills, critical thinking skills and the student learning experience in courses with embedded upskilling programs. Statistical analysis and exploratory research are used to analyse the data collected by the digital fitness app developed by a global company leading digital talent transformation. Our research identified the following demographic indicators that have influenced individuals’ digital upskilling: Gender, Race, Residency, Pell-eligibility, Age, in addition to six academic indicators including department, major, class level, first-time freshman, High School GPA and ACT score. Discussion of findings and future research directions would lead to novel research articles focusing on longitudinal studies to assess digital skills. Also, this study shows the need for a new assessment tool to expand the scope and the sample size of the study. This article provides a valuable guidance for policy makers, higher-education institutions, educators, students, and employers, who are looking for digital talent or skill sets needed for digital transformation. The main contribution lays in data collection and analysis. This is the first study using a globally accepted digital talent assessment tool to collect data at a minority serving institution.\",\"PeriodicalId\":46591,\"journal\":{\"name\":\"Industry and Higher Education\",\"volume\":\"159 1\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Industry and Higher Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09504222241249078\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industry and Higher Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09504222241249078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Exploring underlying factors for variations in digital upskilling
This study aims to analyse the impact of demographic and educational factors on in digital upskilling. We address the relationship between digital skills, critical thinking skills and the student learning experience in courses with embedded upskilling programs. Statistical analysis and exploratory research are used to analyse the data collected by the digital fitness app developed by a global company leading digital talent transformation. Our research identified the following demographic indicators that have influenced individuals’ digital upskilling: Gender, Race, Residency, Pell-eligibility, Age, in addition to six academic indicators including department, major, class level, first-time freshman, High School GPA and ACT score. Discussion of findings and future research directions would lead to novel research articles focusing on longitudinal studies to assess digital skills. Also, this study shows the need for a new assessment tool to expand the scope and the sample size of the study. This article provides a valuable guidance for policy makers, higher-education institutions, educators, students, and employers, who are looking for digital talent or skill sets needed for digital transformation. The main contribution lays in data collection and analysis. This is the first study using a globally accepted digital talent assessment tool to collect data at a minority serving institution.
期刊介绍:
Industry and Higher Education focuses on the multifaceted and complex relationships between higher education institutions and business and industry. It looks in detail at the processes and enactments of academia-business cooperation as well as examining the significance of that cooperation in wider contexts, such as regional development, entrepreneurship and innovation ecosystems. While emphasizing the practical aspects of academia-business cooperation, IHE also locates practice in theoretical and research contexts, questioning received opinion and developing our understanding of what constitutes truly effective cooperation. Selected key topics Knowledge transfer - processes, mechanisms, successes and failures Research commercialization - from conception to product ''Graduate employability'' - definition, needs and methods Education for entrepreneurship - techniques, measurement and impact The role of the university in economic and social development The third mission and the entrepreneurial university Skills needs and the role of higher education Business-education partnerships for social and economic progress University-industry training and consultancy programmes Innovation networks and their role in furthering university-industry engagement