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.

这个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，作为学习困难和/或残疾学生的计算机辅助工具。市场上有几种自动文本简化工具。不幸的是，现有的工具是一刀切的解决方案，没有提供个性化的解决方案，也不支持教师的教学目标。PETES的创新之处在于使用机器学习和自然语言处理算法进行自动文本简化，为每个学生定制文本，使他/她在理解课程的同时提高词汇知识。PETS将兼容学生独立使用和教师驱动的数据驱动教学。PETS将在课堂和远程教育环境中使用，这是新冠肺炎大流行给我们的学校带来的新的关键需求。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。第二阶段项目的目标是开发个性化文本简化工具PETES。PETS将使教育、阅读、语言和识字等课程的教师能够为他们的学生提供个性化的阅读调节和干预，通过自动简化文本来匹配学生的知识，从而提高他们的阅读技能。PETS将兼容学生独立使用和教师驱动的数据驱动教学。PETS将在课堂和远程教育环境中使用，这是新冠肺炎事件在我们学校引起的新的关键需求。该奖项反映了美国国家科学基金会的法定使命，并已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。