TY - DATA
T1 - Dataset with aggregated data accompanying SEFI Paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design
PY - 2023/12/21
AU - Gillian Saunders-Smits
AU - Cilia Claij
AU - Astrid van der Niet
UR - 
DO - 10.4121/88c22b1d-ac5f-43cc-9113-5efb8b253776.v1
KW - Robotics
KW - Multidisciplinary Design
KW - Project based learning
KW - Cooperative Education
KW - Student Experience
N2 - <p class="ql-align-justify">Aggregated data set in .xlsx format of the qualitative questionnaire resultsThis dataset contains aggregated data accompanying 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., &amp; 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</p>
ER -