Dataset with aggregated data accompanying SEFI Paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design

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., & 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

本数据集为.xlsx格式的质性问卷结果汇总数据集，配套于欧洲工程教育学会（SEFI，European Society for Engineering Education）会议论文《Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design》。本研究的目标为：通过2023年6月至7月发放的问卷，调研2023-2024学年机器人专业理学硕士（MSc Robotics）多学科项目中学生的学习体验。核心研究问题为：从学生针对课程学习目标与课程整体运行情况的反馈与认知中，可以提炼出哪些有价值的启示？本研究通过Qualtrics在线调研平台采集数据，同时收集了质性与量化两类数据，例如学生对课程各模块的满意度评价。该项研究成果已发表于如下会议论文：Van Der Niet, A., Claij, C. 与 Saunders-Smits, G.（2023）.《面向机器人软件设计多学科方法的未来机器人工程师培养》. 欧洲工程教育学会（SEFI，European Society for Engineering Education）. DOI: 10.21427/W6WB-Z113