Qualitative Research Workshop

计算机科学（31）本项目将举办两个为期一天的关于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了诸如总体保留、女性和少数族裔保留、学生理解或不理解关键概念的方式、有效的教学技巧以及与计算机科学教学和学习有关的其他问题。定性和定量研究方法在教育研究中都很重要。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过定性方法。这些讲习班为活跃的计算机科学教育研究人员提供两种或三种定性研究方法的短期课程。第一个工作坊涵盖理论，并教导参与者如何设计和实施涉及定性技术的研究。参与者在两个研讨会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机研究人员，并通过引入定性研究方法方面的专家来提供指导，扩展他们的研究技术。更广泛的影响：参与者提高了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、教学方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.