View Proposal

Proposer
Ian Tan
Title
Automated Essay Grading using Fine-Grained Linguistic Features
Goal
Extracting fine-grain linguistic features, conduct dimensionality reduction, and applying classification algorithms to grade essays.
Description
The intricate relationship between fine-grained linguistic features and writing quality is to be reproduced. This is based on a recent paper titled "Incorporating Fine-Grained Linguistic Features and Explainable AI into Multi-Dimensional Automated Writing Assessment" by Tang et al. (2024). The paper harnessed computational analytic tools and Principal Component Analysis (PCA) to distill and refine linguistic indicators for model building and construction. This project is to reproduce the work done by Tang et al. and is to be scoped accordingly, likely to be with a subset of the feature extraction tool, and without the explanable AI component.
Resources
Some open sourced tools to be determined. Python programming.
Background
Url
External Link
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
1
Supervisor
Ian Tan
Keywords
essay grading, machine learning, dimensionality reduction, feature extraction
Degrees
Bachelor of Science in Computing Science
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