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

该项目将开发和衡量计算机科学和计算思维的文化相关教学框架（CRPF-CSCT）的有效性。来自计算机科学（CS）代表性不足的群体的学生将提供输入并参与开发框架。开发团队将由六名学生，六名高中教师（CS和非CS）和五名研究团队成员组成。该框架将在一年多的时间内设计，并以合作对话为指导，这是一种结构化讨论的形式，参与者共同努力确定和发展积极的变化。 一旦完成，该框架旨在用于计算机科学课程，以提高保留率。其他科目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）。该框架将旨在鼓励包容性和协作，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CS学习的关键挑战和障碍是如何被CS中代表性不足的群体的学生感知和体验的。该项目小组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，以改善所有学生的CS和CT的教学和学习。外部评估将确保所有项目目标的实现，学生的声音仍然是这个过程的核心。该项目的结果直接解决了通过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参与计算的问题。该研究旨在为女孩提供一个更友好的计算机科学环境，有色人种的学生代表不足，以及来自较低社会经济背景的学生，在年轻的时候，因为他们第一次开始认真考虑职业选择。研究和RPPs计划。该奖项反映了NSF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。

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.