Quiz Generation Using Large Language Model
Year: 2025
Type: conference-paper
Abstract: - New system of Quiz Generation with the definition of NLP and Google's Generative AI: this study automatically creates the multiple-choice questions, linking them with PDF files on courses. The system designed includes processing pipelines that comprise PDF content extraction tools, AI question formulators, and verification tools in validating assessment models. Using Google Generative AI model (Gemini-1.5-pro), the system analyzes course materials and formulates questions contextually suitable while containing four options and one correct answer. The outcome is aimed at enhancing the effectiveness of generating assessments while still keeping high- end question standard as far as relevance to education goes, which consequently reduces teacher workload and time work while guarantees the quality of assessment pushed to students.
Authors: S, Prithvinath, K Jose, Amal
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6893231575
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