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A Computer-Based Framework Supporting Education in STEM Subjects

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 363))

Abstract

Education is considered as a key factor for competitiveness on micro- as well as on macro-economic levels, i.e., for a single person, a company, or a country. Several industries have been identified with significant current and/or future workforce shortages. They include diverse areas, such as the health and the technology sectors. As a result, initiatives to foster STEM (science, technology, engineering and mathematics) have emerged in many countries. In this paper, we report on a project of Australian Catholic University and Munich University of Applied Sciences. These universities have developed a framework to support STEM education. The framework is based on R-Project, a leading free software environment that has gained increasing attention particularly in the field of data analysis (statistics, machine learning etc.) in the past decade. The framework is intended to address the following three main challenges in STEM education: mathematics and, in the field of technology, algorithmic programming and dynamic webpage development.

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Correspondence to Jan Seruga .

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Amazon is a trademark of Amazon, Inc., Alibaba of Alibaba, Inc., Alphabet of Alphabet, Inc, Apple and macOS of Apple, Inc., Facebook of Facebook, Inc. and Linux is a trademark of Linus Torvalds. Mathematica is a trademark of Wolfram Research Inc., MATLAB is a trademark of MathWorks, Inc. Microsoft, Azure and Windows are trademarks of Microsoft, Inc., Oracle is a trademark of Oracle, Inc. and RStudio and Shiny are trademarks of RStudio, Inc. All other trademarks are property of their respective owners.

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Peters, G., Rückert, T., Seruga, J. (2019). A Computer-Based Framework Supporting Education in STEM Subjects. In: Hammoudi, S., Śmiałek, M., Camp, O., Filipe, J. (eds) Enterprise Information Systems. ICEIS 2018. Lecture Notes in Business Information Processing, vol 363. Springer, Cham. https://doi.org/10.1007/978-3-030-26169-6_1

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  • DOI: https://doi.org/10.1007/978-3-030-26169-6_1

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  • Online ISBN: 978-3-030-26169-6

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