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Direct linkTai Ming Wut; Elaine Ah-heung Chan; Helen Shun-mun Wong; Jason K. Y. Chan – Education & Training, 2025
Purpose: Artificial intelligence (AI) has been used in the workplace for years. There are compulsory or elective AI courses in some universities for students to enroll in. With the wide adoption of AI in many industries now, employers also expect students to make good use of AI to enhance their work productivity and efficiency. Hence, the purpose…
Descriptors: Artificial Intelligence, Computer Literacy, Employment Potential, College Students
Justyna Szynkiewicz – ACM Transactions on Computing Education, 2025
Higher education institutions are under pressure to educate employable computing graduates who can meet society's needs. Education, as a process of becoming, shapes students' identities, and identity is an important topic to study because it influences students' motivation, retention and satisfaction. Identity serves as the link connecting an…
Descriptors: Computer Science Education, College Students, Self Concept, Foreign Countries
Investigating the Factors That Engage Students to Be Successful in Hybrid Business Analytics Courses
Colleen Carraher-Wolverton; Guolin Lai; Jeremy T. Navarre; Dione Davis; Patricia Lanier – Journal of Information Systems Education, 2025
Business analytics is an emerging and prominent tool in many industries seeking to exploit the advantages of data-driven decision making. Simultaneously, educational institutions are developing and delivering business analytics offerings to equip business professionals with the tools necessary to implement business analytics in modern businesses.…
Descriptors: Business Education, Blended Learning, Academic Achievement, Data Analysis
Yulu Cui; Hai Zhang – Education and Information Technologies, 2025
With the development of artificial intelligence technology, it has become increasingly difficult to distinguish between Artificial Intelligence Generated Content (AIGC) and non-AIGC. Inaccuracies in identifying AIGC in higher education may lead to academic misconduct and risks, and the credibility of AIGC is also subject to certain doubts. Users…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Identification
Alfred Marleku; Ridvan Peshkopia; D. Stephen Voss – International Journal of Mathematical Education in Science and Technology, 2025
The global push to reorient social sciences in an increasingly technical direction might have a clear labour-market justification, but the efforts face headwinds from both faculty and students. This research is concerned with the fear that students would resist such a reorientation. Much of the pedagogic social-science research seeks ways to…
Descriptors: Statistical Analysis, Student Attitudes, College Students, Computer Literacy
Weixin Qi; Yawen Yu; Jie Liu; Jinfa Liu – Education and Information Technologies, 2025
In the wake of the COVID-19 pandemic, the demand for online learning has surged, driving rapid developments in online education. This technological advancement aligns with the global push to achieve the United Nations Sustainable Development Agenda for 2030. Despite extensive research on online learning efficacy, there is a gap in understanding…
Descriptors: College Students, COVID-19, Pandemics, In Person Learning
Juanjuan Wu; Shiman Li; Scott Spicer; Charlie Heinz – Marketing Education Review, 2025
The development of the VR ecosystem presents an unprecedented opportunity for the future of retail. Cultivating the foundational knowledge and skills necessary for retail students to thrive in this environment is essential. This study explores the potential of one such intervention through a Virtual Reality Retailing course that integrates a…
Descriptors: Business Education, Retailing, Computer Simulation, Computer Literacy
