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Introduction of Data Literacy in the Undergraduate Engineering Curriculum

Giese, Tim and Wende, Martin and Bulut, Serdar and Anderl, Reiner (2020):
Introduction of Data Literacy in the Undergraduate Engineering Curriculum.
IEEE, In: 2020 IEEE Global Engineering Education Conference (EDUCON), Porto, Portugal, 27.04-30.04.2020, e-ISSN 2165-9567, ISBN 978-1-7281-0930-5,
DOI: 10.1109/EDUCON45650.2020.9125212,
[Conference or Workshop Item]

Abstract

In times of social media and data privacy an understanding of data is becoming increasingly important. While a lot of research about the technical aspect of data already exists (e.g. collecting, storing, analyzing), we identified a lack of research regarding the human component. Our analysis (including literature review and a survey among undergraduate students) showed, that even though in our digitalized world especially young people interact with data on a daily basis they are lacking skills to properly understand data. These skills are key competencies of Data Literacy. Facing that problem, we have created an educational framework for undergraduate engineering students in order to equip them with a set of skills (Data Literacy) to achieve awareness and transparency regarding data. This framework is based on 3 major pillars: the technical, the legal and the ethical perspective.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Giese, Tim and Wende, Martin and Bulut, Serdar and Anderl, Reiner
Title: Introduction of Data Literacy in the Undergraduate Engineering Curriculum
Language: English
Abstract:

In times of social media and data privacy an understanding of data is becoming increasingly important. While a lot of research about the technical aspect of data already exists (e.g. collecting, storing, analyzing), we identified a lack of research regarding the human component. Our analysis (including literature review and a survey among undergraduate students) showed, that even though in our digitalized world especially young people interact with data on a daily basis they are lacking skills to properly understand data. These skills are key competencies of Data Literacy. Facing that problem, we have created an educational framework for undergraduate engineering students in order to equip them with a set of skills (Data Literacy) to achieve awareness and transparency regarding data. This framework is based on 3 major pillars: the technical, the legal and the ethical perspective.

Publisher: IEEE
ISBN: 978-1-7281-0930-5
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Department of Computer Integrated Design (DiK)
Event Title: 2020 IEEE Global Engineering Education Conference (EDUCON)
Event Location: Porto, Portugal
Event Dates: 27.04-30.04.2020
Date Deposited: 07 Jul 2020 06:32
DOI: 10.1109/EDUCON45650.2020.9125212
Alternative Abstract:
Alternative abstract Language
In Zeiten von Social Media und Datenschutz wird das Verständnis von Daten immer wichtiger. Während über den technischen Aspekt von Daten bereits viele Grundlagen der Forschung existieren (z.B. Sammeln, Speichern, Analysieren), haben wir einen Mangel an Forschung über die menschliche Komponente festgestellt. Unsere Analyse (einschließlich einer Literaturrecherche und einer Umfrage unter Studenten) zeigte, dass, obwohl in unserer digitalisierten Welt vor allem junge Menschen täglich mit Daten interagieren, es ihnen an Fähigkeiten fehlt, Daten richtig zu verstehen. Diese Fähigkeiten sind Schlüsselkompetenzen der Data Literacy. Angesichts dieses Problems haben wir ein Framework für Studenten der Ingenieurwissenschaften geschaffen, um sie mit einer Reihe von Fähigkeiten (Digitale Kompetenzen) auszustatten, mit denen sie ein Bewusstsein und Transparenz in Bezug auf Daten erreichen können. Dieser Rahmen stützt sich auf 3 Hauptsäulen: die technische, die rechtliche und die ethische Perspektive.German
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