SBIR Phase I: Data Mining Tool for Assessing Computer Science Curricula

这个小企业创新研究第一阶段项目提供了一个工具，允许计算机科学课程的修改，以更好地准备计算机科学毕业生的劳动力需求。69%的在职软件开发人员是自学成才的，43%的人将在职培训作为他们的主要学习来源。美国越来越依赖技术来保持在全球舞台上的竞争力，我们的教育体系必须发展，以更有效地培养我们的下一代技术工作者。2015年只有59，581名计算机科学毕业生，而开放的计算工作岗位为527，169个。考虑到大多数毕业生必须自学关键技能才能成为私营企业的生产工人，这种短缺被放大了。该工具不仅影响高等教育机构及其毕业生，还影响编码学院，高中，劳动力发展机构，私营公司，招聘人员和政府机构。美国有2,650所提供计算机科学学位的机构，所有这些机构都是该工具的潜在用户。该工具的市场规模估计超过4亿美元。该项目的智力价值是开发一种工具，该工具可以1）评估高等教育机构应该根据私营企业的要求在计算机科学中教授什么，2）确定机构目前教授这些技能的有效性，以及3）将这些机构与同行进行比较。该项目的创新之处在于实时衡量私营部门所需的技能，而不是落后数年，并实时评估机构目前的表现。该工具提供的数据将使各机构能够以更快的速度修改课程，并大幅提高毕业生的生产力。该工具将基于来自不同来源的数百万个数据点的聚合，如大学目录、招聘信息和简历。然后对原始数据进行清理和分析，以在可视表示层中为最终用户提供可操作的见解，并为各个机构量身定制。

This Small Business Innovation Research Phase I project provides a tool to allow for computer science curricula modifications to better prepare computer science graduates for workforce demands. 69% of working software developers are self-taught and 43% utilized on-the-job training as their primary learning source. The United States is becoming increasingly dependent on technology to remain competitive on the global stage and our education system must evolve to more effectively train our next generation of technology workers. There were only 59,581 computer science graduates in 2015 compared to 527,169 open computing jobs. This shortfall is magnified considering the majority of graduates must teach themselves critical skills to become productive workers in private industry. This tool not only impacts higher education institutions and their graduates, but also coding academies, high schools, workforce development agencies, private companies, recruiters, and government bodies. There are 2,650 institutions offering computer science degrees in the United States and all are potential users of this tool. The market size for this tool is estimated to be over $400 million. The intellectual merit of this project is the development of a tool that can 1) assess what higher educational institutions should be teaching within computer science as demanded by private industry, 2) determine how effectively institutions are currently teaching these skills, and 3) benchmark these institutions compared to their peers. The innovation inherent in this project is a real-time measurement of skills demanded in the private sector, rather than lagging years behind, and a real-time score of how well institutions are currently performing. The data provided by this tool will allow institutions to modify curricula at a significantly faster pace and dramatically increase the productivity of graduates. The tool proposed will be based upon an aggregation of millions of data points from disparate sources such as university catalogs, job postings, and resumes. Raw data is then cleansed and analyzed to produce actionable insights for end users in a visual presentation layer, tailored to individual institutions.