Date
Publisher
arXiv
Automatic essay grading (AEG) has attracted the the attention of the NLP community because of its applications to several educational applications, such as scoring essays, short answers, etc. AEG systems can save significant time and money when grading essays. In the existing works, the essays are graded where a single network is responsible for the whole process, which may be ineffective because a single network may not be able to learn all the features of a human-written essay. In this work, we have introduced a new model that outperforms the state-of-the-art models in the field of AEG. We have used the concept of collaborative and transfer learning, where one network will be responsible for checking the grammatical and structural features of the sentences of an essay while another network is responsible for scoring the overall idea present in the essay. These learnings are transferred to another network to score the essay. We also compared the performances of the different models mentioned in our work, and our proposed model has shown the highest accuracy of 85.50%.
Study at a glance
- Question: Can splitting essay evaluation tasks between multiple AI models improve automatic essay grading?
- Setting and data: Not stated in the abstract
- Method: Model development and performance comparison of automated essay grading systems (collaborative and transfer learning)
Why it matters
Automatic essay grading can save significant time and money when grading essays. However, existing methods rely on a single network for the whole process, which may be ineffective at learning all features of a human-written essay.
Key findings
- A new automated essay grading tool outperformed existing systems by evaluating grammar, structure, and overall ideas with separate components.
- Dividing evaluation between sentence mechanics and main ideas captures human writing features more effectively than relying on a single model.
- Automated essay grading systems can save significant time and money when scoring student essays and short answers.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
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Study design
