SBIR Phase II: An End User Authoring Tool for Open and Intelligent Technology-Enhanced Assessments.

SBIR 第二阶段：用于开放和智能技术增强评估的最终用户创作工具。

• 批准号: 1758301
• 负责人: Shivram Venkatasubramaniam
• 金额: $ 75万
• 依托单位: Looking Glass Ventures, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-03-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1758301&HistoricalAwards=false
• 关键词: SBIR; Phase; II; End; User

This SBIR Phase II effort will create transformative open tools to enable affordable access at scale to high quality assessments (problems & questions) for foundational subjects in secondary and post-secondary education. The explosion of online student audiences, rapid growth of Open Educational Resources (OER), and the need to support individual learners are creating an unprecedented demand for digital assessments. Assessment authoring tools today are controlled by large organizations, require advanced skills and proprietary assessment delivery platforms with restrictive collaboration features. This inequity is particularly pronounced with respect to technology-enabled assessments (TEAs) which are sophisticated, digital assessments that enable deeper learning. This effort will democratize the process of authoring and sharing TEAs through the creation of intuitive end user tools that will enable educators without advanced technical skills to author and share TEAs. This has the potential to disrupt the status quo by empowering educators to take charge of the assessment creation and distribution landscape with ground-breaking tools that enable easy authoring and distribution of sophisticated TEAs without being restricted by a proprietary assessment system. Eventually, this will empower educators at scale by triggering the evolution of a peer-to-peer marketplace around the need for assessments, and impact hundreds of thousands of learners in secondary and tertiary education settings.This project will follow through on two principal innovations. The first is an end-user tool that will dramatically reduce the time and expertise required to author technology-enhanced assessments. The tool will facilitate intuitive authoring of TEAs by using symbolic representation of programming constructs. The second innovation is a new standard for representation of technology-enhanced assessments that makes them usable in any delivery platform, thus making the assessments platform-neutral. This effort will also advance the frontiers of authoring beyond individual assessments to the creation of adaptive assessment pathways that will provide personalization for diverse learners. It will explore novel technologies including the representation of TEAs as intelligent and portable objects that are interoperable with disparate assessment platforms through application programming interfaces. The research studies will provide insight into how the proposed innovations can make authoring of TEAs more efficient while lowering the skills barrier for educators, and the degree to which such TEAs are effective in eliciting student reasoning and thinking processes in foundational subjects. This will be achieved through a combination of usability and validation studies in partnership with secondary and post-secondary educators drawn from different institutions.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.

SBIR 第二阶段的工作将创建变革性的开放工具，使人们能够以经济实惠的方式大规模获得中等和高等教育基础科目的高质量评估（问题和问题）。在线学生受众的爆炸式增长、开放教育资源 (OER) 的快速增长以及支持个人学习者的需求正在对数字评估产生前所未有的需求。如今的评估创作工具由大型组织控制，需要先进的技能和具有限制性协作功能的专有评估交付平台。这种不平等在技术支持的评估（TEA）方面尤其明显，这些评估是复杂的数字评估，可以实现更深入的学习。这项工作将通过创建直观的最终用户工具，使编写和共享 TEA 的过程民主化，使没有高级技术技能的教育工作者也能编写和共享 TEA。这有可能打破现状，让教育工作者能够使用突破性的工具来负责评估创建和分发环境，这些工具可以轻松编写和分发复杂的 TEA，而不受专有评估系统的限制。最终，这将引发围绕评估需求的点对点市场的发展，从而大规模地赋予教育工作者权力，并影响中等和高等教育环境中的数十万学习者。该项目将遵循两项主要创新。第一个是最终用户工具，它将大大减少编写技术增强评估所需的时间和专业知识。该工具将通过使用编程结构的符号表示来促进 TEA 的直观创作。第二项创新是技术增强评估的表示新标准，使其可用于任何交付平台，从而使评估平台中立。这项努力还将推进创作的前沿，超越个人评估，创建适应性评估途径，为不同的学习者提供个性化服务。它将探索新技术，包括将 TEA 表示为智能和便携式对象，这些对象可通过应用程序编程接口与不同的评估平台进行互操作。研究将深入了解所提出的创新如何使 TEA 的编写更加高效，同时降低教育工作者的技能障碍，以及此类 TEA 在引发学生基础学科推理和思维过程方面的有效程度。这将通过与来自不同机构的中学和高等教育工作者合作，将可用性和验证研究相结合来实现。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查进行评估，被认为值得支持标准。