[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-311715-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-311715-en":131},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","lone-star-advanced-placement-ap-computer-science-principles-csp-grant-proposal","Lone Star Advanced Placement (AP) Computer Science Principles (CSP) Grant Proposal","","Project proposal for Lone Star AP Computer Science Principles (CSP) under the National Math and Science Initiative (NMSI) grant framework, expanding teacher supports within NMSI’s College Readiness Program from a one-year to a comprehensive three-year model. The plan defines high-need students as historically underrepresented groups in CS, including females, low-income students, and students of color. Activities focus on increasing access and qualifying scores on the AP CSP exam in 50 Texas schools by 2023, with goals tied to course offerings, enrollment, growth among underrepresented students, and improved teacher confidence, supported by partners and an evaluation plan.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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is the Lone Star AP CSP project intended to achieve?","Question",{"text":63,"@type":64},"It aims to increase access and qualifying scores on the AP Computer Science Principles exam in 50 schools across Texas by 2023, while expanding course offerings, enrollment, and support for underrepresented students.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Who are considered high-need students for this project?",{"text":68,"@type":64},"High-need students are historically underrepresented in computer science, including females, low-income students, and students of color such as African American and Latinx students.",{"name":70,"@type":61,"acceptedAnswer":71},"How will teacher and counselor supports be expanded?",{"text":72,"@type":64},"The project will design, implement, and evaluate a three-consecutive-year teacher professional development and support model, and it will provide greater support to school counselors who identify and recruit students for AP CSP 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Advanced Placement (AP) Computer Science Principles (CSP)  \nType of Grant; Absolute and Competitive Preference Priorities: Early Phase; AP 1: Demonstrates Rationale; AP 3: Field-Initiated Innovation STEM-CS; and Computer Science CPP  \nNumber of Students and Grade Levels Served: 25,000 high school (9th-12th grade) students  \nHigh-need Student Definition: High-need students are those historically underrepresented in CS – females, low income students, and students of color (African American and Latinx) .  \nProject Description and Activities: The National Math and Science Initiative (NMSI), a 501(c)(3) nonprofit organization, is applying for Lone Star AP CSP to expand the teacher supports in NMSI’s proven College Readiness Program (CRP) from a one academic year model to a comprehensive three academic year model, complemented by CRP’s standard school and student supports. Additionally, Lone Star AP CSP will provide greater support to school counselors as they identify/recruit students for AP CSP courses.  \nProject Objectives and Expected Outcomes: All of Lone Star AP CSP’s components are designed to specifically increase access and qualifying scores on the AP Computer Science Principles (AP CSP) exam in 50 schools across Texas by 2023. We expect to see (a) increased course offerings and enrollment; and (b) increased numbers of underrepresented students (females, African-American, and Latinx students) who can see themselves in future CS courses or careers. Additionally, teachers will report higher confidence levels in CS instruction.  \nSpecial Features: Lone Star AP CSP we will design, implement, and evaluate a three consecutive year teacher professional develop and support model to reach AP CSP teachers in 50 schools across Texas; this project represents the first time that the NMSI CRP model has focused for three consecutive years on one key component, while keeping the other two model components constant, creating a promising new strategy to deepen our proven CRP approach, providing specific supports for teachers to increase the number of underrepresented students in computer science.  \nProject Partners: National Math and Science Initiative (Fiscal Agent); The Beauty and Joy of Computing, Mobile CSP, UTeach, and NCWIT (Implementation Partners); AIR (Evaluation Partner)  \nPR/Award \\# U411C190037","cbCaiuwyKcNTwlO0","https://ap.wps.com/l/cbCaiuwyKcNTwlO0","pdf",155616,"English","# Project Title\n# Student Needs and Definitions\n# Project Description and Activities\n# Project Objectives and Expected Outcomes\n# Special Features\n# Project Partners\n# PR/Award Number","[{\"question\":\"What is the Lone Star AP CSP project intended to achieve?\",\"answer\":\"It aims to increase access and qualifying scores on the AP Computer Science Principles exam in 50 schools across Texas by 2023, while expanding course offerings, enrollment, and support for underrepresented students.\"},{\"question\":\"Who are considered high-need students for this project?\",\"answer\":\"High-need students are historically underrepresented in computer science, including females, low-income students, and students of color such as African American and Latinx students.\"},{\"question\":\"How will teacher and counselor supports be expanded?\",\"answer\":\"The project will design, implement, and evaluate a three-consecutive-year teacher professional development and support model, and it will provide greater support to school counselors who identify and recruit students for AP CSP courses.\"}]","Lone Star Advanced Placement (AP) Computer Science Principles (CSP) Grant Proposal | PDF",1789894695]