Embedding Information Retrieval and Nearest-Neighbour Algorithm into Automated Essay Grading System

2005 ◽  
Author(s):  
S.M.F.DS. Mustapha ◽  
N. Idris ◽  
R. Abdullah
Keyword(s):  
Information Retrieval ◽  
Grading System ◽  
Nearest Neighbour ◽  
Essay Grading

A review of the use of inverted files for best match searching in information retrieval systems

1983 ◽  
Vol 6 (2-3) ◽  
pp. 59-66 ◽  
Author(s):  
Shirley A. Perry ◽  
Peter Willett
Keyword(s):  
Information Retrieval ◽  
Computational Efficiency ◽  
Critical Evaluation ◽  
Document Retrieval ◽  
Nearest Neighbour ◽  
Matching Function ◽  
Similarity Coefficients ◽  
Retrieval Systems ◽  
Search Heuristics ◽  
Information Retrieval Systems

The use of inverted files for the calculation of similarity coefficients and other types of matching function is discussed in the context of mechanised document retrieval systems. A critical evaluation is presented of a range of algorithms which have been described for the matching of documents with queries. Particular attention is paid to the computational efficiency of the various procedures, and improved search heuristics are given in some cases. It is suggested that the algorithms could be implemented sufficiently efficiently to permit the provision of nearest neighbour searching as a standard retrieval option.

scholarly journals Formative Assessment Visual Feedback in Computer Graded Essays

10.28945/2843 ◽  
2005 ◽  
Author(s):  
Robert Williams ◽  
Heinz Dreher
Keyword(s):  
Computer Graphics ◽  
Formative Assessment ◽  
Visual Feedback ◽  
Grading System ◽  
Essay Grading

In this paper we discuss a simple but comprehensive form of feedback to essay authors, based on a thesaurus and computer graphics, which enables the essay authors to see where essay content is inadequate in terms of the discussion of the essay topic. Concepts which are inadequately covered are displayed for the information of the author so that the essay can be improved. The feedback is automatically produced by the MarkIT Automated Essay Grading system, being developed by Curtin University researchers.

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