Automatic Assessment

Automatic assessment leverages artificial intelligence and machine learning to automate the evaluation of various tasks, ranging from educational assignments and language translations to medical diagnoses and scientific paper reviews. Current research focuses on developing robust and reliable assessment systems using diverse model architectures, including transformer-based language models (like BERT and GPT) and convolutional neural networks, often incorporating techniques like embedding rank analysis and Bayesian networks for improved accuracy and efficiency. This field is significant for its potential to reduce human workload, provide timely feedback, and enable large-scale, objective evaluations across diverse domains, ultimately improving efficiency and consistency in various assessment processes.