Automatic Quiz Generation System (AQGS)

A tétel rövid nézete
dc.contributor.advisorHajdu, András
dc.contributor.advisorLakatos, Róbert
dc.contributor.authorAl-Ahdal, Sanaa Harun Abdurrahman
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2025-02-22T22:42:30Z
dc.date.available2025-02-22T22:42:30Z
dc.date.created2024-04-18
dc.description.abstractThe thesis presents the development of an Automatic Quiz Generation System (AQGS) that uses Natural Language Processing (NLP) and Artificial Intelligence (AI) to automate quiz creation from digital documents. This system addresses the time-consuming nature of manual quiz creation and improves scalability in educational settings. The AQGS follows five key steps: extracting text from files, segmenting the text into smaller chunks, creating embeddings, storing these embeddings as vectors, and generating quiz questions using Large Language Models (LLMs). By automating this process, AQGS reduces the time and effort required for quiz creation, enabling educators to focus on more important tasks. The project also discusses technical challenges and tools like Langchain, GROBID, and Pinecone. Future improvements include code-based question generation and enhancing quiz output quality.
dc.description.courseProgramtervező informatikus
dc.description.degreeMSc/MA
dc.format.extent33
dc.identifier.urihttps://hdl.handle.net/2437/387457
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectPrompt Engineering
dc.subjectNLP
dc.subjectLLM
dc.subjectGenerative AI
dc.subject.dspaceInformatics::Computer Science
dc.titleAutomatic Quiz Generation System (AQGS)
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