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Algorithmic Generation and Mobile Distribution of Phonetic, Orthographic, and Inference-Based Literacy Exercises for Adult Learners.

机译:针对成年学习者的语音,正字法和基于推理的识字练习的算法生成和移动分布。

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摘要

A 2014 study found that more than half of all Americans aged 16-74 do not possess the literacy skills needed to adequately cope with the demands of day-to-day life, with over 13 million people in the United States alone considered to be functionally illiterate. There have been numerous efforts to address these high illiteracy rates by way of Adult Basic Education programs; however, such programs are consistently underfunded and plagued with high drop-out rates, as many students struggle to consistently attend classes due to lack of transportation, uncontrollable family circumstances, or conflicting employment hours. At the same time, smartphones are becoming ever more ubiquitous, signifying an opportunity for mobile educational software to address many of these difficulties.;This thesis describes the creation of a software system to allow students in such programs to continue their learning outside the classroom. This project, known as CAPITAL (Comprehension and Pronunciation Instructional Tools for Adult Learners), involves three core components. The first is a system for algorithmically generating questions to thoroughly cover the different microskills of alphabetic literacy, the beginner level of reading. This system is capable of generating materials for testing every facet of phonological awareness, phonemic awareness, decoding, and encoding, customized to accommodate any desired skill progression. Second is a system for algorithmically generating questions for reading comprehension at the intermediate reading level that specifically target the reader's ability to draw inferences and monitor their own comprehension. The final component is a mobile-learning application, carefully designed for ease of use by adults with below-average literacy, through which students receive these generated learning materials. Trial studies were conducted with literacy providers in the Washington D.C. area to seek feedback from both teachers and students.;The combination of these three components results in a mobile application that is easy for adult learners to use, provides them with a substantial amount of high-quality learning materials, seamlessly integrates with the lessons they are learning in their classes, and delivers materials to them at an optimal and customized rate. CAPITAL is the first system of its kind to address the adult literacy crisis by both allowing for scalable automated creation of learning materials and providing a more effective method of delivering them to students in need.
机译:2014年的一项研究发现,在所有16-74岁的美国人中,有一半以上的人没有足够的读写能力来充分满足日常生活的需求,仅在美国,就有超过1300万人被认为具有功能文盲。为了通过成人基础教育计划解决这些高文盲率,已经进行了许多努力;但是,由于缺乏交通,家庭环境无法控制或就业时间冲突,许多学生难以持续上课,因此此类课程始终资金不足且辍学率高。同时,智能手机正变得越来越普及,这为移动教育软件解决这些难题提供了机会。本论文描述了一种软件系统的创建,该软件系统允许此类程序中的学生在教室外继续学习。该项目被称为CAPITAL(成人学习者的理解和发音教学工具),涉及三个核心组成部分。第一个系统用于算法生成问题,以全面覆盖字母扫盲的不同微技能,即初学者的阅读水平。该系统能够生成用于测试音位意识,音位意识,解码和编码的各个方面的材料,这些材料经过定制以适应任何所需的技能进步。其次是一种系统地算法生成中级阅读水平的阅读理解问题的系统,该系统专门针对读者的推论能力和监控自己的理解能力。最后一个组件是一个移动学习应用程序,该应用程序经过精心设计,以使识字率低于平均水平的成年人易于使用,学生可以通过这些应用程序获得这些生成的学习材料。与华盛顿特区的识字提供者进行了试验研究,以征询老师和学生的反馈。这三个组成部分的结合产生了易于成人使用的移动应用程序,为他们提供了大量的高质量的学习材料,与他们在课堂上正在学习的课程无缝集成,并以最佳和定制的速度向他们提供材料。 CAPITAL是同类系统中第一个解决成人识字危机的系统,它既允许可扩展的自动创建学习材料,又提供了一种更有效的方法将其交付给有需要的学生。

著录项

  • 作者

    Hill, Jennifer Rose.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Educational technology.;Adult education.;Instructional design.;Reading instruction.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 150 p.
  • 总页数 150
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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