Quiz Generation Using Large Language Model

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-22
DOI
https://doi.org/10.5281/zenodo.15486533
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Quiz Generation Using Large Language Model

Zenodo (CERN European Organization for Nuclear Research)
Intelligent Tutoring Systems and Adaptive Learning
article

Quiz Generation Using Large Language Model

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 77%
Intelligent Tutoring Systems and Adaptive Learning
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