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Encouraging Grading: Per Aspera Ad A-Stars
The surge in computer science student enrollment in Data Structures and Algorithm course necessitates flexible teaching strategies, accommodating...
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Automated Long Answer Grading with RiceChem Dataset
This research paper introduces a new area of study in the field of educational Natural Language Processing (NLP): Automated Long Answer Grading...
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To study the effect of a newly developed emotion detection and grading system software for identifying and grading expressions of patients with Parkinson’s disease
Parkinson’s disease (PD) is the most widespread neurodegenerative disorder after Alzheimer’s disease. Masked facial expressions in people with PD may...
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Modeling essay grading with pre-trained BERT features
Writing essays is an important skill which enables one to clearly write the ideas and understanding of certain topic with the help of language...
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Short-Answer Grading for German: Addressing the Challenges
Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are...
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Revolutionizing lemon grading: an automated CNN-based approach for enhanced quality assessment
Lemons, renowned for their versatile applications in the culinary world and various industries, have become a staple commodity worldwide. The demand...
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Automatic Teaching Plan Grading with Distilled Multimodal Education Knowledge
With the development of artificial intelligence, more and more technologies are used in teaching design. The teaching plan is the direct guidance...
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Explainability in Automatic Short Answer Grading
Massive open online courses and other online study opportunities are providing easier access to education for more and more people around the world....
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Paraphrase Generation and Supervised Learning for Improved Automatic Short Answer Grading
We consider the reference-based approach for Automatic Short Answer Grading (ASAG) that involves scoring a textual constructed student answer...
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Can AI Assistance Aid in the Grading of Handwritten Answer Sheets?
With recent advancements in artificial intelligence (AI), there has been growing interest in using state of the art (SOTA) AI solutions to provide...
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Automated Grading of Regular Expressions
With the rapid transition to distance learning, automatic grading software becomes more important to both teachers and students. We study the problem...
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Reducing Workload in Short Answer Grading Using Machine Learning
Machine learning methods can be used to reduce the manual workload in exam grading, making it possible for teachers to spend more time on other...
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SPRAG: building and benchmarking a Short Programming-Related Answer Grading dataset
Automated Short Answer Grading (ASAG) is a widely explored application of NLP in the domain of education. While much research focuses on natural...
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Cheating Automatic Short Answer Grading with the Adversarial Usage of Adjectives and Adverbs
Automatic grading models are valued for the time and effort saved during the instruction of large student bodies. Especially with the increasing...
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GTADT: Gated tone-sensitive acne grading via augmented domain transfer
Automatic selfie facial acne grading plays a crucial role in treatment for facial care customers, and it attracts increasing attention with the...
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Explainable Automatic Grading with Neural Additive Models
The use of automatic short answer grading (ASAG) models may help alleviate the time burden of grading while encouraging educators to frequently...
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Detection and diabetic retinopathy grading using digital retinal images
Diabetic Retinopathy is an eye disorder that affects people suffering from diabetes. Higher sugar levels in blood leads to damage of blood vessels in...
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Grading the severity of diabetic retinopathy using an ensemble of self-supervised pre-trained convolutional neural networks: ESSP-CNNs
Diabetic retinopathy (DR) is a common eye disorder that can lead to vision problems and blindness, necessitating accurate grading for effective...
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Flue-Cured Tobacco Grading Method Based on a Convolutional Neural Network
Artificial flue-cured tobacco grading often has problems such as unstable grading results and low qualification rates, which lead to waste of tobacco...
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EvaAI: A Multi-agent Framework Leveraging Large Language Models for Enhanced Automated Grading
In recent times, Massive Open Online Courses (MOOCs) have become increasingly popular for offering accessible and versatile learning opportunities to...