Filtering by Subject: Data Literacy

Towards categorizing ethical questions in data literacy

Samira Khodaei, Anas Abdelrazeq, Ingrid Isenhardt

2023-05-12   Data Ethics, Data Literacy

Data Literacy is crucial for a sustainable engineering education [11]. In aiming to find solutions to solve future challenges, mechanical engineering has started to integrate data literacy into the higher education curriculum [13]. However, ethics are rarely considered in current frameworks. Ethics are seen as a side topic or are equated to data privacy issues [2]. Since literacy aims to [...]

PIA - A Concept for a Personal Information Assistant for Data Analysis and Machine Learning of Time-Continuous Data in Industrial Applications

Christopher Schnur, Tanja Dorst, Kapil Sajjan Deshmukh, et al.

2023-05-05   Data Governance, Data Literacy

A database with high-quality data must be given to fully use the potential of Artificial Intelligence (AI). Especially in small and medium-sized companies with little experience with AI, the underlying database quality is often insufficient. This results in an increased manual effort to process the data before using AI. In this contribution, the authors developed a concept to enable inexperienced [...]

Beyond Data Literacy in Engineering Education

Samira Khodaei, Mihail Padev, Anas Abdelrazeq, et al.

2023-01-24   Data Ethics, Data Literacy

Data literacy is a key ingredient for engineering education [14]. Through digital transformation, more data are generated in different scientific fields that will be interpreted. As a highly applicable scientific field, mechanical engineering is predestined to integrate data literacy into the higher education curriculum [17]. However, current frameworks rarely consider ethical questions, [...]