Systematic Needs Analysis of Advanced Digital Skills for Postgraduate Computing Education: The DIGITAL4Business Case
Communications in Computer and Information Science, ISSN: 1865-0937, Vol: 2150 CCIS, Page: 179-191
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
A 15-partner funded project, DIGITAL4Business aims to revolutionise the digital landscape in Europe, fostering strong industry partnerships to empower digital transformation organically and providing postgraduate programmes through a unique multi-academic pan European approach. This paper identifies the needs and gaps in advanced digital skills in countries of the European Union to enable digital transformation. Validated via desk research and surveys, our results indicate that the top two advanced digital skills for companies are Cybersecurity and Cloud Computing, followed by Data Science for small and medium-sized enterprises and Artificial Intelligence (AI) for large companies, respectively. Businesses also indicate notable concerns about the digital divide, digital literacy, the potential impact of automation and job displacement, the role of regulatory frameworks, and training. Our recommendations encompass flexible and accessible education models, ex-professo AI & Data Science modules, stakeholder collaboration, and diversity & inclusion initiatives.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85200267629&origin=inward; http://dx.doi.org/10.1007/978-3-031-64315-6_14; https://link.springer.com/10.1007/978-3-031-64315-6_14; https://dx.doi.org/10.1007/978-3-031-64315-6_14; https://link.springer.com/chapter/10.1007/978-3-031-64315-6_14
Springer Science and Business Media LLC
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