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.

这项研究通过使用大型语言模型自动生成土耳其教育内容的问答题，介绍了一种从教育内容中生成测验的新方法，为土耳其教育环境量身定制的教育技术开创了先河。同时，通过将这些语言模型应用于土耳其教育材料中，为自动化土耳其测验生成开辟了新的途径。