Proposal

Introduction

Proposal ID 2015-039
Submitted January 16, 2015
Owner rlhugo
Department Language Learning Center
Category Frontier Technology
Funding Status Fully Funded
Metric Score None

Contacts

Primary
  • Name
  • Title
  • Email
  • Phone
  • Mailbox
  • Paul Aoki
  • Director
  • i5no8@uw.edu
  • (206) 543-0536
  • Denny Hall, Room 108 Box 353140 Seattle, WA 98195
Budget
  • Name
  • Title
  • Email
  • Phone
  • Mailbox
  • Sherri Huber
  • Office Manager
  • shuber@uw.edu
  • (206) 543-0536
  • Denny Hall, Room 108 Box 353140 Seattle, WA 98195
Dean
  • Name
  • Title
  • Email
  • Phone
  • Mailbox
  • Michael Shapiro
  • Interdivisional Dean Humanities
  • hindimcs@uw.edu
  • 206-221-8552
  • (CMU): 071

Descriptions

Abstract

The goal of this proposal is to secure funding to develop a suite of applications that will work together to support vocabulary learning and retention for language students.

The three applications are:
A) Vocabulary assessment and prediction application. (semi-integrated alpha version exists)
B) Integrated Flash Cards (unintegrated/standalone prototype exists)
C) Time-based, multi-faced vocabulary, orthography and typing game (unintegrated/standalone prototype exists)

The proposed system will (More info on these can be found in the background section):
1) Adhere to the latest applied linguistic research about long term vocabulary learning.
2) Have a centralized database that keeps track of statistics for individual learners and performance information for each individual word.
3) Have a system for user management. Initially, the system will rely on the UWNetID shibboleth system.
4) Have a system for users to add and edit words in the database.

Category Justification

A unified statistical and time pressure based system like this is unique, but has potential for learning as well as research.

Background

Currently, the LLC has developed beta versions of two vocabulary applications, one for self testing using Baysian statistics (https://depts.washington.edu/bulavoca/) and the other is a flash-card app. In addition, a proof-of-concept app was developed for a third purpose, time-based, gamified vocabulary learning. This application is a game that motivates learners to recall vocabulary as quickly and accurately as possible. A side benefit of this tool is that it teaches typing in the target language as well. The goal of this proposal is to finish development of all three systems in a unified way.

The proposed system will:
1) Adhere to the latest applied linguistic research about long term vocabulary learning.

2) Have a centralized database that keeps track of statistics for individual learners and performance information for each individual word. Thus, data stemming from a student's performance in the game application will help improve the data in the Baysian testing system and the flashcard system as well. For example, which words are more difficult to learn on average? Which words are first year learners less likely to know? Other information that will be included in the database would be information such as: a major textbook lists word '_____' in chapter 3.

3) Have a system for user management. Initially, the system will rely on the UWNetID shibboleth system. This will allow users to continually visit and track their progress over time. The system will remember what words they have learned, which they need to practice again soon, and which they should learn next. While there are many flashcard applications for mobile devices that do similar things, they do not integrate with a testing and game/time-based system in a similar way and use data at the system level to improve the user experience and learning potential over time.

4) Have a system for users to add and edit words in the database. While, this will primarily be a tool for instructors to use to build special learning 'decks' for students, students wishing to practice and review any language will be able to contribute.

Benefits to Students and the University

This system should be a valuable tool for any student at UW who wishes to expand or maintain their vocabulary for a variety of languages. A number one priority is to make the game (a similar, but less complex, style of game is TyperShark) entertaining and engaging to keep the student motivated to play regularly.

Departmental Endorsements

I endorse this very important STF proposal. Founded in the late 1940s, the Language Learning Center is one of the earliest technology centers at the UW. It has provided students access to language and culture beyond the written text in the form of audio and video in the earlier days and full digital multimedia with access to language, culture, people, and countries 24/7/365. As a university with international reputation on the Pacific Rim, this STF will continue to provide students with access to the world through writing systems other than English along with the highest quality audio and video resources to extend students' interests and language maintenance and self-study.
Paul Aoki, Director, Language Learning Center
I fully endorse the LLC's proposal to utilize with new web technology. Faster and more reliable systems would be great for students.
Thank you for your consideration.
Sherri Huber, Office Manager, Language Learning Center
The following individuals directly oversee the implementation of any new equipment, and wholeheartedly support this proposal:
Bob Majors, Senior Computer Specialist, Language Learning Center
Larry Lesage, Labs Coordinator, Language Learning Center

This proposal will be the resurrection and completion of long overdue projects adding to the products and language learning services that the LLC offers to its students and the world.
https://depts.washington.edu/llc/Projects.php
Don Smith, Sysadmin

Installation Timeline

Development will begin as soon as funding is received. Beta launch of the full system is estimated to occur one month before the end of the funding period (The end of Fall Quarter) so that enough time will be left for major bug mixes. Smaller patches will be handled by the regular LLC staff.

Resources Provided by Department

The LLC will provide supervision of the project by the SA Manager Marlin Eller, as well as hardware for coding, testing and deployment.

Access Restrictions (if any)

Initially, only UW students will be able to access it. If time permitting, a system allowing other learners access will be implemented.

Student Endorsements

I think it's an important piece for language training of UW students.
Anatoliy Klots, Graduate Student

I'm honored to support this proposal.
Joel Strom, Graduate Student

This will be a good tool for all languages.
Pei-chung Ko, Graduate Student

I believe that this system will be very helpful for students.
-Russell Hugo, Linguistics - Graduate Student

Items

Group Funded Item Unit price Quantity Subtotal
Fall Quarter

Fall Monthly 50% FTE Rate for one Staff Assistant (Predoc II) 01-30

$2,386.72 3 $7,160.16
Description

Justification

This reflects a potential 12% increase in pay based on the union contract for the 2015-2016 academic year.
2131
255.72

Fall Monthly Benefits for one Staff Assistant (Predoc II) 0140

$491.66 3 $1,474.98
Description

Justification

Benefits - 0140 - $491.66 per quarter (20.6% of pay rate)

Fall Tuition Costs (does not include fees)

$9,773.00 1 $9,773.00
Description

Justification

(does not include fees) Similar to a tuition waiver.

The cost was predicted using the previous year increases:
The cost for Spring 2015 Graduate Tier III | Nonresident is $9,473.00.
- The cost for Spring 2014 Graduate Tier III | Nonresident was $9,198.00
= $275

http://opb.washington.edu/content/tuition-and-required-fees?year=2014-15&qtr=2&campus=0&category=6&res=2&submit=Submit

Summer Quarter

Summer Weekly 20 Hours a week Rate for one Graduate Student

$651.00 10 $6,510.00
Description

Justification

$32.55 per hour x 20 = $651
$32.55 reflects the 12% union increase

Summer Weekly Benefits for one graduate assistant

$110.67 10 $1,106.70
Description

Justification

651 x 17% =

Budget 0180

Total requested: $26,024.84

Total funded: $26,024.84

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