SBIR Phase I: Game-Based Psychometric Assessments for College and Career Match

这个小企业创新研究（SBIR）第一阶段项目的更广泛的社会影响和商业潜力反映了人工智能和算法系统在教育领域和其他人力资源领域日益增长的重要性和扩散。这使得该项目在战略上处于科学发现的前沿，在建立一个将服务于社会的技术工具方面。年代的目标。在高等教育和培训领域，市场效率低下要求交易双方都有过多的支出，这对供需都产生了不利影响。面对13亿美元的学生贷款债务，国家继续考虑高等教育的价值，以申请人为基础，通过匹配学生和机构来简化大学申请程序？美国的职业目标可以降低学生、家庭和机构的成本。在教育领域之外，该项目将影响工作场所，雇主-雇员匹配算法将用于招聘、招聘、培训和团队建设，涉及卫生、创新、国防等领域。最终，人员分析平台在国内和国际商业化方面具有无限的潜力，从而产生税收，创造就业机会，并以其他方式促进经济发展。拟议的项目侧重于在大学和职业准备和成功领域部署人员分析。虽然通过这种创新软件进行人才评估还处于起步阶段，但这家小公司的大学匹配方法将彻底改变学生确定职业目标的方式，然后优化他们的大学经历，为成功的人生开始做好准备。这家小公司的行为和数据科学家、游戏设计师和软件工程师团队正在制作视频游戏，这些游戏可以洞察大学申请者的职业潜力。他们的平台捕获了大量的微观行为数据——玩家在采取行动前犹豫了多久，面对挑战或挫折的坚持程度，并行处理的能力——以创建玩家职业关键特征的心理档案，包括竞争力、外向性、风险承受能力等特征，以及其他难以通过简历和传统的大学申请材料辨别的持久的个人特征。一旦学生的职业目标明确，该公司的专有推荐引擎就会建议最适合达到玩家目标的教育机构和课程。我的职业目标。除了扩展游戏平台和收集玩家数据以开发和微调预测算法外，该项目还将研究影响玩家对平台提供的见解和建议的反应的因素。这项工作将调查基于游戏的评估的透明度或“可审查性”的影响，并执行可视化工具，以促进玩家理解为什么会提出特定建议。

The broader social impact and commercial potential of this Small Business Innovation Research (SBIR) Phase I project reflects the increasing importance and proliferation of artificial intelligence and algorithmic systems in the educational arena and in other domains of human resources. This places the project strategically at the vanguard of scientific discovery, in building a technology tool that will serve society?s goals. In the post-secondary education and training domains, market inefficiencies require excess spending on both sides of the transaction, adversely affecting both supply and demand. As the nation continues to deliberate the value of higher education in the face of $1.3 billion in student loan debt, streamlining the college application process by matching students and institutions based on an applicant?s career goals can reduce costs for students, their families, and institutions alike. Outside the field of education, this project will impact workplaces where employer-employee matching algorithms will be used in recruiting, hiring, training, and team building, across the domains of health, innovation, national defense, and beyond. Ultimately, people analytics platforms have unlimited potential for national and international commercialization, thus generating tax revenue, creating jobs, and otherwise bolstering the economy. The proposed project focuses on the deployment of people analytics in the domain of college and career readiness and success. While talent evaluation through such innovative software is in its infancy, the small company's approach to college match will revolutionize how students identify their professional goals and then optimize their college experience for successful life launch. The small company's team of behavioral and data scientists, game designers, and software engineers, are creating video games that provide insights into a college applicant's career potential. Their platform captures massive amounts of micro-behavioral data -- how long players hesitate before making a move, persistence in the face of challenge or frustration, ability to parallel process -- to create a psychographic profile of the player's career-critical characteristics, including traits like competitiveness, extroversion, risk tolerance, and other enduring, personal traits difficult to discern through resumes and traditional, college application materials. Once a student's career objectives become clear, the company's proprietary recommendation engine suggests educational institutions and curricula best suited to attain the player?s career goals. In addition to expanding the game platform and collecting player data to develop and fine tune predictive algorithms, this project also will examine factors that influence a player's response to the insights and recommendations the platform provides. This work will investigate the impact of transparency, or "scrutability", of game-based assessments and implement visualization tools that promote the player's understanding of why specific recommendations are made.