SmartChoice: an online recommender system to support low-income families in public school choice.: An article from: AI Magazine
Book Details
ISBN / ASINB002GK9D9Q
ISBN-13978B002GK9D96
MarketplaceFrance 🇫🇷
Description
This digital document is an article from AI Magazine, published by American Association for Artificial Intelligence on June 22, 2009. The length of the article is 8187 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: Public school choice at the primary and secondary levels is a key element of the U.S. No Child Left Behind Act of 2001 (NCLB). lf a school does not meet assessment goals for two consecutive years, by law the district must offer students the opportunity to transfer to a school that is meeting its goals. Making a choice with such potential impact on a child's future is clearly monumental, yet astonishingly few parents take advantage of the opportunity. Our research has shown that a significant part of the problem arises from issues in information access and information overload, particularly for low socioeconomic status families. Thus we have developed an online, content-based recommender system, called SmartChoice. It provides parents with school recommendations for individual students based on parents' preferences and students' needs, interests, abilities, and talents. The first version of the online application was deployed and live for focus group participants who used it for the January and March/April 2008 Charlotte-Mecklenburg school choice periods. This article describes the SmartChoice Program and the results of our initial and follow-up studies with participants.
Citation Details
Title: SmartChoice: an online recommender system to support low-income families in public school choice.
Author: David C. Wilson
Publication:AI Magazine (Magazine/Journal)
Date: June 22, 2009
Publisher: American Association for Artificial Intelligence
Volume: 30 Issue: 2 Page: 46(13)
Distributed by Gale, a part of Cengage Learning
From the author: Public school choice at the primary and secondary levels is a key element of the U.S. No Child Left Behind Act of 2001 (NCLB). lf a school does not meet assessment goals for two consecutive years, by law the district must offer students the opportunity to transfer to a school that is meeting its goals. Making a choice with such potential impact on a child's future is clearly monumental, yet astonishingly few parents take advantage of the opportunity. Our research has shown that a significant part of the problem arises from issues in information access and information overload, particularly for low socioeconomic status families. Thus we have developed an online, content-based recommender system, called SmartChoice. It provides parents with school recommendations for individual students based on parents' preferences and students' needs, interests, abilities, and talents. The first version of the online application was deployed and live for focus group participants who used it for the January and March/April 2008 Charlotte-Mecklenburg school choice periods. This article describes the SmartChoice Program and the results of our initial and follow-up studies with participants.
Citation Details
Title: SmartChoice: an online recommender system to support low-income families in public school choice.
Author: David C. Wilson
Publication:AI Magazine (Magazine/Journal)
Date: June 22, 2009
Publisher: American Association for Artificial Intelligence
Volume: 30 Issue: 2 Page: 46(13)
Distributed by Gale, a part of Cengage Learning
