cff-version: 1.2.0 abstract: "

This dataset contains the non-aggregated data accompanying the SEFI Paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design in .xlsx format of the qualitative questionnaire results. The research objective for the study was: To investigate the student experience in the Multi-Disciplinary Project in the MSc Robotics in the academic year 2023-2024 using a questionnaire which was fielded in June and July 2023. The main research question was: What can be learned from student feedback and perceptions regarding the course’s Learning Objectives and the overall running of the course? The data was collected using a Qualtrics online survey and both qualitative and quantitative data such as student satisfaction with course components were collected. The work was reported in a conference paper: Van Der Niet, A., Claij, C., & Saunders-Smits, G. (2023). Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design. European Society for Engineering Education (SEFI). DOI: 10.21427/W6WB-Z113



" authors: - family-names: Saunders-Smits given-names: Gillian orcid: "https://orcid.org/0000-0002-2905-864X" - family-names: Claij given-names: Cilia - family-names: van der Niet given-names: Astrid title: "Dataset with anonymous non-aggregated data accompanying SEFI paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design" keywords: version: 1 identifiers: - type: doi value: 10.4121/4b82dfc0-3fe4-40d6-9e32-3aef85cb44b2.v1 license: CC BY-SA 4.0 date-released: 2023-12-21