Data Skills for Everyone! (?)–An Approach to Assessing the Integration of Data Literacy and Data Science Competencies in Higher Education

• Published in: Journal of statistics and data science education Vol. 33; no. 1; pp. 90 - 115
• Main Authors: Coners, André, Matthies, Benjamin, Vollenberg, Carolin, Koch, Julian
• Format: Journal Article
• Language: English
• Published: Alexandria Taylor & Francis Ltd 2025; Taylor & Francis Group
• Subjects: Business Administration; College Science; Comparative Analysis; Comparative Education; Competence; Computer Science; Content Analysis; Curricula; Curriculum; Data literacy; Data science; Database Management Systems; Educational Practices; Educational Research; Educational Technology; Higher education; Individualized Instruction; Influence of Technology; Information literacy; Information Science; Information Systems; Information Technology; Portfolio Assessment; Research Universities; Science Curriculum; Science Education; Science Instruction; Scientific Literacy; Statistical Data

The proficient handling of data can undoubtedly be regarded as a key skill for the future. However, the need for data competencies is not limited to traditional professions in the information technology environment but is rather necessary across industries and work fields. Consequently, there is a c...