Test Taker

Research on test-takers is exploring how AI can improve and augment testing processes, focusing on areas like automated proctoring and AI-assisted question answering. Current studies utilize large language models (LLMs) such as GPT-3 and GPT-4, investigating their capabilities in various high-stakes exams and assessing their performance against human experts. This research is significant for improving test security, evaluating AI capabilities, and understanding the implications of AI integration in education and professional licensing, ultimately impacting test fairness, accessibility, and efficiency.