IntroCS POGIL: Process Oriented Guided Inquiry Learning in Introductory Computer Science

拟议项目的意义在于，它将确立面向过程的指导性研究性学习(POGIL)作为计算机科学教学方法的价值。POGIL方法已经在其他STEM学科中显示出来，以增加学生的学习和留存，特别是对于来自代表性不足人群的学生，包括女性和少数族裔。目前还没有一致的努力来使用POGIL方法教授计算机科学。创建计算机科学POGIL社区是这项提议的一个基本方面，是评估POGIL在计算机科学教育中的有效性的必要步骤。更广泛和更有效地使用POGIL等策略将提高完成STEM课程的学生的质量、数量和多样性。本项目的主要目标是研究影响教师在计算机科学入门课程中采用POGIL的最大因素，以及POGIL实施的程度如何影响学生的学习和参与。第二个目标是通过传播高质量的教学资源和加强当前的专业发展实践，使计算机科学教师更容易采用POGIL。该项目的行动理论是，加强教师支持将提高教师对POGIL的采用率和坚持性，这反过来将改善学生的结果。为了评估这些因素和其他因素的影响，该项目将收集和分析包括调查、访谈和学生学习结果在内的多机构数据。

The significance of the proposed project is that it will establish the value of Process Oriented Guided Inquiry Learning (POGIL) as an approach to teaching computer science. The POGIL approach has been shown in other STEM disciplines to increase student learning and retention, particularly for students from underrepresented populations, including females and minorities. There has not yet been a concerted effort to teach computer science using the POGIL approach. The creation of a computer science POGIL community, which is a fundamental aspect of this proposal, is a necessary step to providing an evaluation of the effectiveness of POGIL in computer science education. Broader and more effective use of strategies such as POGIL will improve the quality, quantity, and diversity of students who complete STEM programs.The main goal of this project is to study factors that most influence faculty to adopt POGIL in introductory computer science courses and how the degree of POGIL implementation impacts student learning and engagement. A secondary goal is to make it significantly easier for computer science faculty to adopt POGIL, by disseminating high quality instructional resources and enhancing current professional development practices. The project theory of action is that enhanced instructor support will improve faculty adoption of and persistence with POGIL, which in turn will improve student outcomes. To assess the impact of these and other factors, the project will collect and analyze multi-institutional data including surveys, interviews, and student learning outcomes.