國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Algorithmic Generation and Mobile Distribution of Phonetic, Orthographic, and Inference-Based Literacy Exercises for Adult Learners./
作者:	Hill, Jennifer Rose.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	150 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-05(E), Section: A.
Contained By:	Dissertation Abstracts International79-05A(E).
標題:	Educational technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10742913
ISBN:	9780355604566

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

Algorithmic Generation and Mobile Distribution of Phonetic, Orthographic, and Inference-Based Literacy Exercises for Adult Learners. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 150 p.

Source: Dissertation Abstracts International, Volume: 79-05(E), Section: A.

Thesis (Ph.D.)--The George Washington University, 2018.

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.

ISBN: 9780355604566Subjects--Topical Terms:

556755
Educational technology.

Algorithmic Generation and Mobile Distribution of Phonetic, Orthographic, and Inference-Based Literacy Exercises for Adult Learners.
LDR:03611nam a2200349 4500 001 890771
005 20180727091503.5
008 180907s2018 ||||||||||||||||| ||eng d
020 $a 9780355604566
035 $a (MiAaPQ)AAI10742913
035 $a (MiAaPQ)gwu:13929
035 $a AAI10742913
040 $a MiAaPQ $c MiAaPQ
100 1 $a Hill, Jennifer Rose. $3 1148675
245 1 0 $a Algorithmic Generation and Mobile Distribution of Phonetic, Orthographic, and Inference-Based Literacy Exercises for Adult Learners.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 150 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-05(E), Section: A.
500 $a Adviser: Rahul Simha.
502 $a Thesis (Ph.D.)--The George Washington University, 2018.
520 $a 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.
520 $a 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.
520 $a 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.
590 $a School code: 0075.
650 4 $a Educational technology. $3 556755
650 4 $a Adult education. $3 555548
650 4 $a Instructional design. $3 1148462
650 4 $a Reading instruction. $3 1148440
690 $a 0710
690 $a 0516
690 $a 0447
690 $a 0535
710 2 $a The George Washington University. $b Computer Science. $3 1148676
773 0 $t Dissertation Abstracts International $g 79-05A(E).
790 $a 0075
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10742913