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Collaborative Research: Encoding Geography - Scaling up an RPP to achieve inclusive geocomputational education

合作研究：编码地理 - 扩大 RPP 以实现包容性地理计算教育

基本信息

批准号：
2031418
负责人：
Coline Dony
金额：
$ 40.09万
依托单位：
Association of American Geographers
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-01-01 至 2024-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2031418&HistoricalAwards=false
关键词：
Collaborative Research Encoding Geography Scaling

项目摘要

The geospatial services industry is a profitable and rapidly growing field; however, employers find it difficult to hire scientists with expertise in both geography and computer science. The limited availability of training opportunities in both computer science and geography has created a shortage of workers with the necessary knowledge and skill sets for those jobs. Through a Researcher-Practitioner Partnership (RPP), The Association of American Geographers (AAG), in collaboration with Texas State University, the University of California-Riverside, San Diego State University, the California Geographic Alliance, Sweetwater Union High School District, and San Diego Mesa College, will create an inclusive high school to college curriculum pathway that bridges concepts in computer science and geography. This RPP will support the development of a curriculum that is conceptually rigorous, inclusive, and culturally relevant. It will also produce a replicable approach for teaching geocomputation that is accessible and motivational for all learners.The Association of American Geographers (AAG), in collaboration with Texas State University, the University of California-Riverside, San Diego State University, the California Geographic Alliance, Sweetwater Union High School District, and San Diego Mesa College, proposes a CSforALL-PreK-14 Pathways Strand project to scale up its Encoding Geography Researcher-Practitioner Partnership (RPP) activities in California. This RPP will pursue research and development activities supporting an inclusive curriculum pathway toward geocomputationally intensive majors and careers. The first year of the project will focus on baseline data collection. In year two, AAG will convene a workshop with RPP members to produce culturally relevant geocomputational lessons and being to implement those lesson in CS and geography courses in high school and college. In the final year, the RPP will revise the lessons for ongoing implementation. The AAG will also implement a dissemination plan to scale up the RPP across California and to other states. An expert committee will provide a formative and summative evaluation of the project. This RPP will produce a replicable methodology for articulating curriculum pathways in geocomputation that are inclusive, accessible, and motivational for all learners. By involving the very stakeholders with whom the curriculum is concerned, systemic change toward a more diverse workforce in geocomputation is more likely to be achieved.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.

地理空间服务行业是一个有利可图且增长迅速的领域；然而，雇主发现很难聘请同时具有地理和计算机科学专业知识的科学家。计算机科学和地理方面的培训机会有限，造成缺乏具备这些工作所需知识和技能的工人。通过研究员-从业者伙伴关系(RPP)，美国地理学家协会(AAG)将与德克萨斯州立大学、加州大学河滨分校、圣地亚哥州立大学、加州地理联盟、斯威特沃特联合高中学区和圣地亚哥梅萨学院合作，创建一条从高中到大学的包容性课程路径，将计算机科学和地理的概念联系起来。这项RPP将支持开发一个在概念上严格、包容和与文化相关的课程。美国地理学家协会(AAG)与德克萨斯州立大学、加州大学河滨分校、圣地亚哥州立大学、加州地理联盟、甜水联盟高中学区和圣地亚哥梅萨学院合作，提出了一个CSfor ALL-PreK-14路径链项目，以扩大其在加州的编码地理研究员-实践者伙伴关系(RPP)活动。该RPP将继续开展研究和开发活动，支持通向地理计算密集型专业和职业的包容性课程途径。该项目的第一年将侧重于基线数据收集。在第二年，AAG将与RPP成员一起召开研讨会，制作与文化相关的地球计算课程，并在高中和大学实施这些课程中的CS和地理课程。在最后一年，皇家人民党将修订经验教训，以便继续实施。AAG还将实施一项传播计划，在加州和其他州扩大RPP的规模。一个专家委员会将对该项目进行形成性和总结性评价。这一RPP将产生一种可复制的方法，用于阐明地理计算的课程路径，该方法对所有学习者都是包容的、可访问的和有动机的。通过让课程涉及的利益相关者参与进来，更有可能实现在地理计算领域朝着更加多样化的劳动力的系统性变化。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Big Code

大码

DOI：
10.1111/gean.12330
发表时间：
2022
期刊：
Geographical Analysis
影响因子：
3.6
作者：
Rey, Sergio J.
通讯作者：
Rey, Sergio J.

Solving Geospatial Problems under Extreme Time Constraints: A Call for Inclusive Geocomputational Education

在极端时间限制下解决地理空间问题：呼吁包容性地理计算教育

DOI：
发表时间：
2023
期刊：
Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE
影响因子：
0
作者：
Dony, Coline C
通讯作者：
Dony, Coline C

Geographical Python Teaching Resources: geopyter

DOI：
10.1007/s10109-021-00346-6
发表时间：
2021-04-23
期刊：
JOURNAL OF GEOGRAPHICAL SYSTEMS
影响因子：
2.9
作者：
Reades, Jonathan;Rey, Sergio J.
通讯作者：
Rey, Sergio J.

Scalable Spatio-Temporal Top-k Community Interactions Query

可扩展的时空Top-k社区互动查询

DOI：
10.1145/3474717.3483962
发表时间：
2021
期刊：
29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021
影响因子：
0
作者：
Abdulaziz Almaslukh, Yongyi Liu
通讯作者：
Abdulaziz Almaslukh, Yongyi Liu