PaSTO-GNN: prompt-aware spatio-temporal graph neural networks for automatic essay scoring
Automatic Essay Scoring (AES) aims to evaluate the quality of written essays automatically, providing fast, consistent, and objective assessments of students' writing ability. Existing deep learning approaches—including recurrent, convolutional, and transformer-based models—primarily focus on textual semantics, yet they often overlook the spatio-temporal nature of essay composition, where meaning evolves across sentences and paragraphs through discourse progression. To address this gap, this stu
Record details
Published: 8 July 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Children & education
Retrieved: 14 July 2026
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ethics.ai (8 July 2026), “PaSTO-GNN: prompt-aware spatio-temporal graph neural networks for automatic essay scoring,” evidence record 2242, https://ethics.ai/record/2242 (originally published by Frontiers in Artificial Intelligence).
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