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

这个小企业创新研究第二阶段项目旨在开发个性化文本简化（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，现有的工具是一个尺寸适合所有的解决方案，提供没有个性化和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，为每个学生定制文本，使他/她能够理解课程并同时提高词汇知识。PeTeS将兼容学生独立使用和教师驱动的数据驱动教学。PeTeS将可用于课堂和远程教育环境，这是COVID-19疫情对我们学校的新的关键需求。第二阶段计划的目标是全面开发PeTeS产品，并评估其在课堂和远程教育环境中的有效性。第二阶段计划的目标是开发PeTeS个性化文本简化工具。PeTeS将使教育、阅读、语言和识字教练等课程的教材教师能够为学生提供个性化的阅读适应和干预，通过自动简化文本以匹配学生的知识来提高他们的阅读技能。PeTeS将兼容学生独立使用和教师驱动的数据驱动教学。PeTeS将在课堂和远程教育环境中使用，这是COVID-19大流行给我们学校带来的新的关键需求。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.