Development of a culturally relevant pedagogical framework for computer science and computational thinking in high schools

本项目将开发并衡量计算机科学与计算思维文化相关教学框架（CRPF-CSCT）的有效性。来自计算机科学（CS）中代表性不足的群体的学生将提供输入并参与框架的开发。开发小组将由6名学生、6名高中教师（CS和非CS）、5名研究小组成员组成。该框架将在一年的时间内设计完成，并以协作对话为指导。协作对话是一种有组织的讨论形式，参与者共同努力确定和发展积极的变革。一旦完成，该框架将用于计算机科学课程，以提高记忆。其他学科的教师也可以使用该框架在整个课程中向高中生介绍计算思维（CT）。该框架旨在鼓励包容和合作，使课堂体验更受所有人欢迎。研究人员将使用混合方法来确定来自CS中代表性不足群体的学生如何感知和经历学习CS的关键挑战和障碍。项目团队将开发一种工具来定量测量高中生对计算机科学的看法和态度。该团队还将制定具体的方法来改善所有学生的CS和CT教学。外部评估将确保所有项目目标的实现，学生的声音仍然是过程的核心。该项目的结果直接解决了通过来自代表性不足群体的学生的早期和持续参与以及通过框架本身的发展来扩大计算机参与的问题。这项研究的目的是为女孩、未被充分代表的有色人种学生和社会经济背景较低的学生提供一个更友好的计算机科学环境，因为她们在很小的时候就开始认真考虑职业选择。该项目由CS for All: Research and RPPs项目资助。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project will develop and measure the efficacy of a Culturally Relevant Pedagogical Framework for Computer Science and Computational Thinking (CRPF-CSCT). Students from groups underrepresented in computer science (CS) will provide input and participate in developing the framework. The development team will consist of six students, six high school teachers (CS and non-CS), and five research team members. The framework will be designed over a year and guided by collaborative dialogues, a form of structured discussion where participants work together to identify and develop positive change. Once completed, the framework is intended for use in computer science courses to improve retention. Teachers in other subjects can also use the framework to introduce high school students to computational thinking (CT) across the curriculum. The framework will be designed to encourage inclusivity and collaboration, making the classroom experience more welcoming for all.The researchers will use mixed methods to identify how key challenges and barriers to studying CS are perceived and experienced by students from underrepresented groups in CS. The project team will develop an instrument to quantitatively measure perceptions and attitudes toward computer science in high school students. The team will also develop specific approaches to improve the teaching and learning of CS and CT for all students. External evaluation will ensure that all project goals are achieved, and student voices remain central to the process. Results from the project directly address issues of broadening participation in computing through early and ongoing involvement by students from underrepresented groups and through the development of the framework itself. The research is intended to provide a more welcoming environment in computer science for girls, underrepresented students of color, and students from lower socioeconomic backgrounds, at a young age as they are first beginning to consider career options seriously.This project is funded by the CS for All: Research and RPPs program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.