A robust methodology for automated essay grading
| dc.contributor.author | Fazal, Anhar | |
| dc.contributor.supervisor | Prof. Tharam Dillon | |
| dc.contributor.supervisor | Prof. Elizabeth Chang | |
| dc.date.accessioned | 2017-01-30T10:04:47Z | |
| dc.date.available | 2017-01-30T10:04:47Z | |
| dc.date.created | 2014-01-17T04:55:27Z | |
| dc.date.issued | 2013 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/1377 | |
| dc.description.abstract |
None of the available automated essay grading systems can be used to grade essays according to the National Assessment Program – Literacy and Numeracy (NAPLAN) analytic scoring rubric used in Australia. This thesis is a humble effort to address this limitation. The objective of this thesis is to develop a robust methodology for automatically grading essays based on the NAPLAN rubric by using heuristics and rules based on English language and neural network modelling. | |
| dc.language | en | |
| dc.publisher | Curtin University | |
| dc.title | A robust methodology for automated essay grading | |
| dc.type | Thesis | |
| dcterms.educationLevel | MPhil | |
| curtin.department | School of Information Systems, Curtin Business School | |
| curtin.accessStatus | Open access |