Qualitative Research Workshop

计算机科学（31）这个项目是运行一对为期一天的定性研究方法的研讨会，用于计算机科学教育研究。计算机科学教育研究人员研究的问题，如整体保留，保留妇女和少数民族，学生的方式理解或未能理解的关键概念，有效的教学技术，以及其他有关教学和学习计算机科学的问题。在教育研究中，质的研究方法和量的研究方法都是重要的。然而，典型的计算机科学研究人员只熟悉定量方法，很少或根本没有接触定性方法。这些研讨会为活跃的计算机科学教育研究人员提供两到三种定性研究方法的短期课程。第一个研讨会涵盖了理论，并教导参与者如何设计和进行涉及定性技术的研究。参与者在两个工作坊之间设计和实施小型定性研究项目。智力优势：该项目需要训练有素的计算研究人员，并通过引入定性研究方法专家提供指导来扩展他们的研究技术库。更广泛的影响：参与者提高他们收集和分析定性数据的能力。这提高了计算机科学教育研究的整体质量。当然，计算机科学教育研究质量的提高会导致计算机科学教育实践，教学法和课程质量的提高。

Computer Science (31)This project is to run a pair of one-day workshops on qualitative research methods, for use in computer science education research. Computer science education researchers examine issues such as overall retention, retention of women and minorities, ways students understand or fail to understand key concepts, effective teaching techniques, and other issues relating to teaching and learning computer science. Both qualitative and quantitative research methods are important in educational research. However, the typical computer science researcher is only comfortable with quantitative methods and has had little or no exposure to qualitative ones.These workshops provide active computer science education researchers with a short course in two or three qualitative research methods. The first workshop covers the theory, and teaches participants how to design and conduct studies that involve qualitative techniques. Participants design and implement small qualitative research projects between the two workshops.Intellectual merit: This project takes well-trained computing researchers and expands their repertoire of research techniques by bringing in an expert in qualitative research methodologies to provide guidance.Broader impacts: Participants improve their ability to collect and analyze qualitative data. This improves the overall quality of research in computer science education. Naturally, an increase in quality of computer science education research leads to an increase in quality of computer science education practice, pedagogy and curriculum.