automated essay assessment



Automated essay scoring (AES) is the use of specialized computer programs to assign grades to essays written in an educational setting. It is a method of educational assessment and an application of natural language processing. Its objective is to classify a large set of textual entities into a small number of discrete
The William and Flora Hewlett Foundation (Hewlett) is sponsoring the Automated Student Assessment Prize (ASAP). Hewlett is appealing to data scientists and machine learning specialists to help solve an important social problem. We need fast, effective and affordable solutions for automated grading of student-written
25.01.2018 -
14.03.2017 -
The e-rater® automated writing evaluation engine is ETS's patented capability for automated evaluation of expository, persuasive and summary essays. Multiple assessment programs use the engine. The engine is used in combination with human raters to score the writing sections of the TOEFL iBT® and GRE® tests.
MI's industry-leading automated essay scoring system is able to automatically score a variety of constructed response items and can work with any number of predefined score-point ranges and rubric definitions. PEG® is currently being used to provide scores in both summative assessments and formative assessments.
06.06.2017 -
Automated Essay Grading Using Machine. Learning. Manvi Mahana, Mishel Johns, Ashwin Apte. CS229 Machine Learning - Autumn 2012. Stanford University. Final Report Submitted on: 14-Dec-2012. Abstract. The project aims to build an automated essay scoring system using a data set of ≈13000 essays from kag-.
07.07.2015 -
Abstract. The purpose of the current study was to analyze the relationship between automated essay scoring (AES) and human scoring in order to determine the validity and usefulness of AES for large-scale placement tests. Specifically, a correlational research design was used to examine the correlations between AES

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