Learning outcomes design for Data Science and Internet of Things training programs

Vasileios Gkamas, Maria Rigou, I. Perikos, I. Gueorguiev, P. Varbanov, Christina Todorova
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引用次数: 3

Abstract

Data Science and Internet of Things are currently among the key drivers of skills and competences required by the IT market. As a skills’ gap is projected in the Data Science and Internet of Things domains, substantial effort is required by training providers for the upskilling of IT workforce. In this work, we present the macro-level design of the learning outcomes of a multi-disciplinary VET program for Data Science and Internet of Things. The macro-level design is based on a desktop research and a survey conducted among the VET program beneficiaries, which are companies running Data Science and/or Internet of Things projects.
数据科学和物联网培训项目的学习成果设计
数据科学和物联网目前是IT市场所需技能和能力的关键驱动因素之一。由于数据科学和物联网领域预计会出现技能缺口,培训提供商需要付出大量努力来提高IT劳动力的技能。在这项工作中,我们提出了数据科学和物联网多学科职业教育培训项目学习成果的宏观层面设计。宏观层面的设计基于桌面研究和对VET项目受益者的调查,这些受益者是运行数据科学和/或物联网项目的公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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