发明名称 PREDICTING SOCIAL, ECONOMIC AND LEARNING OUTCOMES
摘要 One example includes predicting social, economic, and learning outcomes for a geographic entity at a future time. The outcomes are predicted using near-real-time student data indicators and correlations between the indicators and the outcomes.
申请公布号 US2017046459(A1) 申请公布日期 2017.02.16
申请号 US201415306553 申请日期 2014.05.28
申请人 HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. 发明人 SCHMEDLEN MICHAEL JOHN
分类号 G06F17/50;G09B19/18;G09B19/00;G06F17/18;G09B5/00 主分类号 G06F17/50
代理机构 代理人
主权项 1. A processor-implemented method for predicting social, economic, and learning outcomes for a geographic entity at a future time, comprising: receiving student data indicators for each of a plurality of students, the indicators provided in near-real-time; aggregating each indicator for the plurality of students to form a corresponding aggregate indicator; calculating, from time series data that relates the aggregate indicators to social, economic, and learning outcomes for a set of peer entities, correlation factors between each aggregate indicator and each social, economic, and learning outcome; and predicting, using the correlation factors and the aggregate indicators, the social, economic, and learning outcomes for the geographic entity at the future time.
地址 HOUSTON TX US