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<dc:title>ARTIFICIAL INTELLIGENCE AND BUSINESS EDUCATION STUDENTS’ EMPLOYABILITY SKILLS IN A DIGITAL ECONOMY</dc:title>

<dc:creator>Author</dc:creator>

<dc:subject>Artificial Intelligence, Business Education, Employability, Digital, Economy</dc:subject>

<dc:description>This study examined Business education employability skills needed in an artificial intelligence system to promote employment in a digital economy. A case study of undergraduates in tertiary institution in Ekiti State, Nigeria. A descriptive survey design was used for the study. This comprises of undergraduates in Bamidele Olumilua University of Education Science and Technology, Ikere Ekiti, and Ekiti State and Ekiti State University. The sample for the study is made up of 30 undergraduates selected from each institution making a total of 60 undergraduates using simple random sampling technique. Questionnaire titled “Artificial Intelligence and Business Education Employability Skills Questionnaire (AIBEESQ) was used as instrument for data collection. Appropriate statistical tool such as mean (x), standard deviation and One-way ANOVA were used for data analysis at 0.05 level of significance. The result showed that Business education employability skills such as creative skill, innovative skill and technical skills are crucial for securing job in an artificial intelligence system. This means that Business education students who develop creative thought and ability to make use of tools, software in AI system compliance, easily find new job. Therefore, it was recommended that Business education undergraduate should develop creative skill, innovative skill and technical skills for gainful employment. Business education curriculum should be reviewed to encompasses teaching of employability skills in this digital economy.</dc:description>

<dc:publisher>UnivColl International Multidisciplinary Research Journal</dc:publisher>

<dc:date>2026-09-30</dc:date>

<dc:type>Text</dc:type>

<dc:format>application/pdf</dc:format>

<dc:identifier>10.65919/uimrj.2026.v2i9002</dc:identifier>

<dc:language>en</dc:language>

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