CLJun 5, 2024

Automating Turkish Educational Quiz Generation Using Large Language Models

arXiv:2406.03397v1
Originality Synthesis-oriented
AI Analysis

This work addresses the need for automated quiz generation in the Turkish educational context, providing a valuable resource for teachers and researchers, though it is incremental as it applies existing LLM methods to a new language-specific domain.

The study tackled the problem of automatically generating quizzes from Turkish educational texts by leveraging large language models like GPT-4-Turbo and Llama-2, resulting in the creation of the Turkish-Quiz-Instruct dataset and demonstrating efficacy in producing coherent and relevant quiz content.

Crafting quizzes from educational content is a pivotal activity that benefits both teachers and students by reinforcing learning and evaluating understanding. In this study, we introduce a novel approach to generate quizzes from Turkish educational texts, marking a pioneering endeavor in educational technology specifically tailored to the Turkish educational context. We present a specialized dataset, named the Turkish-Quiz-Instruct, comprising an extensive collection of Turkish educational texts accompanied by multiple-choice and short-answer quizzes. This research leverages the capabilities of Large Language Models (LLMs), including GPT-4-Turbo, GPT-3.5-Turbo, Llama-2-7b-chat-hf, and Llama-2-13b-chat-hf, to automatically generate quiz questions and answers from the Turkish educational content. Our work delineates the methodology for employing these LLMs in the context of Turkish educational material, thereby opening new avenues for automated Turkish quiz generation. The study not only demonstrates the efficacy of using such models for generating coherent and relevant quiz content but also sets a precedent for future research in the domain of automated educational content creation for languages other than English. The Turkish-Quiz-Instruct dataset is introduced as a valuable resource for researchers and practitioners aiming to explore the boundaries of educational technology and language-specific applications of LLMs in Turkish. By addressing the challenges of quiz generation in a non-English context specifically Turkish, this study contributes significantly to the field of Turkish educational technology, providing insights into the potential of leveraging LLMs for educational purposes across diverse linguistic landscapes.

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