期刊
COMPUTATIONAL SCIENCE AND TECHNOLOGY (ICCST 2019)
卷 603, 期 -, 页码 639-648出版社
SPRINGER-VERLAG SINGAPORE PTE LTD
DOI: 10.1007/978-981-15-0058-9_61
关键词
Online learning; Essay assessment; Idea mining; Text mining; Analysis tool
Assessing essays in online and open learning environment can be problematic as the number of submission increases with the increase of enrolment. A tool to automatically analyse those essays is required to assist instructor in the assessment process. The aim of this study is to propose a framework for automatic analysis of essays by identifying idea within the text in order to assist instructor in the assessment. The framework incorporates an idea mining model to identify and measure idea from text and proposes analysis method based on the calculated scores. A simulation of potential application of the framework is provided to show how a tool implemented based on that can be used for automatic and interactive assessment of essays.
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