Using Topic Modeling to Assess Middle School Science Discourse based on Next Generation Science Standards

被引：0

作者：

Shaw, Erin ^{[1
]}

Phillips, Richard ^{[1
]}

Kao, Anne ^{[1
]}

Torres, Robert ^{[1
]}

机构：

[1] Univ Southern Calif, Los Angeles, CA 90007 USA

来源：

PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES ENHANCING EDUCATION (ICAT2E 2017) | 2017年 / 68卷

基金：

美国国家科学基金会;

关键词：

K-12 education assessment; discourse analysis; Next Generation Science Standards; natural language processing; topic modeling;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper we apply natural language understanding and topic modeling methods to create an instructional tool for assessing science discourse in interactive multimedia presentations that are created, shared and discussed by students. The resulting assessment prototype will enable teachers to follow student discourse in real time, to understand gaps in student learning, and to improve teaching practices. Middle School Life Sciences and Physical Sciences standards from the Next Generation Science Standards (NGSS) serve as a basis for assessing domain relevance. Domain knowledge and standards are modeled, and student discussions are analyzed and graphed.

引用

页码：42 / 45

页数：4

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