SBIR Phase II: PeTeS: Personalized Text Simplification For Struggling Readers (COVID-19)

SBIR 第二阶段：PeTeS：为困难读者提供个性化文本简化 (COVID-19)

• 批准号: 2036502
• 负责人: Yevgen Borodin
• 金额: $ 100万
• 依托单位: Charmtech Labs LLC
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2036502&HistoricalAwards=false
• 关键词: SBIR; Phase; II; PeTeS; Personalized

This Small Business Innovation Research Phase II project seeks to develop a Personalized Text Simplification (PeTeS) technology to be used as a Computer Assisted Tool for students with learning difficulties and/or disabilities. Several automatic text simplification tools are available in the market. Unfortunately, the existing tools are one-size-fits-all solutions offering no personalization and not supporting the teacher’s instructional goals. The innovation of PeTeS is in the use of Machine Learning and Natural Language Processing algorithms to perform automatic text simplification customizing texts for each student, enabling him/her to understand the curriculum and improve vocabulary knowledge at the same time. PeTeS will be compatible with both independent use by students and teacher-driven data-driven instruction. PeTeS will be usable both in class and in remote education settings, which is a new critical demand in our schools caused by COVID-19 pandemic. The objective of this Phase II Project is to fully develop the PeTeS product and evaluate its effectiveness in classroom and remote education settings.The objective of this Phase II Project is to develop PeTeS a Personalized Text Simplification tool. PeTeS will enable teachers of material in courses such as education, reading, language, and literacy coaches to provide personalized reading accommodations and intervention to their students to improve their reading skills by automatically simplifying the text to match the individual student’s knowledge. PeTeS will be compatible with both independent use by students and teacher-driven data-driven instruction. PeTeS will be usable both in class and in remote education settings, which is a new critical demand in our schools caused by COVID-19 pandemic.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.

该小型企业创新研究第二阶段项目旨在开发一种个性化文本简化 (PeTeS) 技术，作为有学习困难和/或残疾的学生的计算机辅助工具。不幸的是，市场上有几种自动文本简化工具。现有工具是一刀切的解决方案，不提供个性化，也不支持教师的教学目标。 PeTeS 的创新在于使用机器学习和自然语言处理算法来执行自动文本简化定制。为每个学生提供文本，使他/她能够同时理解课程并提高词汇知识，PeTeS 既可以由学生独立使用，也可以在课堂和课堂上使用教师驱动的数据驱动教学。远程教育环境，这是我们学校因 COVID-19 大流行而提出的一个新的关键需求。第二阶段项目的目标是全面开发 PeTeS 产品并评估其在课堂和远程教育环境中的有效性。本阶段的目标。 II项目是开发PeTeS个性化文本简化工具将使教育、阅读、语言和读写能力教练​​等课程的教师能够为学生提供个性化的阅读调整和干预，通过自动简化文本以匹配个别学生的知识来提高他们的阅读技能。 PeTeS 将兼容学生的独立使用和教师驱动的数据驱动教学，这将在课堂和远程教育环境中使用，这是我们学校因 COVID-19 大流行而提出的新的关键需求。奖项反映通过使用基金会的智力价值和更广泛的影响审查标准进行评估，NSF 的法定使命被认为值得支持。