Automated language essay scoring systems: a literature review
importance 5/10
ai assisted
Natural Language Processing Techniques education assessment stage: research
Problem
Manually scoring exam essays is slow and unreliable, creating a need for objective automated grading.
Why it matters
Fair, fast essay scoring affects millions of language test-takers and exam institutions.
What the AI did
This is a literature review of Automated Essay Scoring systems that use NLP and machine learning to grade English essays.
Results
not stated in source
Impact
The paper surveys existing AES literature but reports no new system or measured result.
Record
| Venue | PeerJ Computer Science |
|---|---|
| Published | 2019 |
| Work type | article |
| Authors | Mohamed Abdellatif Hussein, Hesham Hassan, Mohammad Nassef |
| Citations | 179 (OpenAlex, at import time) |
| References | 42 |
| Model or method | not stated in source |
| Organization | not stated in source |
| Primary source | https://doi.org/10.7717/peerj-cs.208 |
| Open access | gold |
| Keywords | automated essay scoring, NLP, machine learning, literature review, language assessment |
Importance rating
5
real but narrower advance
Essay scoring affects many exam-takers, but this is only a literature review with no new system, measured results, or stated scale.