BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.4//
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:ĚÇĐÄÔ­´´
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:STANDARD
DTSTART:20181104T020000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20190310T020000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.347876.field_event_date.0@www.wright.edu
DTSTAMP:20260219T215159Z
CREATED:20181201T221412Z
DESCRIPTION:Committee:  Drs. Yong Pei\, Advisor\, Mateen Rizki\, and Anna F
 . Lyon (Teacher Education)ABSTRACT:Learning English as a secondary languag
 e is often an overwhelming challenge for dual language learners (DLLs)\, w
 hose first language (L1) is not English\, especially for children in early
  education (PreK-3 age group). These early DLLs need to devote a considera
 ble amount of time learning to speak and read the language\, in order to g
 ain the language proficiency to function and compete in the classroom.The 
 process of learning a new language can benefit greatly from the latest com
 puting technologies\, such as mobile computing\, augmented reality and art
 ificial intelligence. This research focuses on developing a human-AI teami
 ng based mobile learning system for early DLLs. The objective is to provid
 e a supportive and interactive platform for them to develop English readin
 g and pronunciation skills through individual attention and interactive co
 aching.In this thesis\, we present an AR and AI-based mobile learning tool
  that provides: 1.) automatic and accurate intelligibility analysis at var
 ious levels: letter\, word\, phrase and sentences\, 2.) immediate feedback
  and multimodal coaching on how to correct pronunciation\, and 3.) evidenc
 e-based dynamic training curriculum tailored to each individual’s learning
  patterns and needs\, e.g.\, retention of corrected pronunciation and typi
 cal pronunciation errors. The use of visible and interactive virtual exper
 t technology capable of intuitive AR-based interactions will greatly incre
 ase a student’s acceptance and retention of a virtual coach. In school or 
 at home\, it will readily resemble an expert reading specialist to effecti
 vely guide and assist a student in practicing reading and speaking by him-
 /herself independently\, which is particularly important for DLL as many o
 f their parents don’t speak English fluently and cannot offer the necessar
 y help.
DTSTART;TZID=America/New_York:20181206T100000
DTEND;TZID=America/New_York:20181206T120000
LAST-MODIFIED:20181203T150825Z
LOCATION:484 Joshi
SUMMARY:Masters Thesis Defense “Development of a human-AI teaming based mob
 ile language learning solution for dual language learners in early and spe
 cial educations” By Saurabh Shukla
URL;TYPE=URI:/events/masters-thesis-defense-%E2%80%9C
 development-human-ai-teaming-based-mobile-language-learning-solution
END:VEVENT
END:VCALENDAR