使用大型语言模型自动化生成土耳其语教育测验
Automating Turkish Educational Quiz Generation Using Large Language Models
AI总结：
本研究提出利用GPT-4-Turbo、GPT-3.5-Turbo及Llama-2等大型语言模型，从土耳其语教育文本自动生成测验，并构建了专用数据集Turkish-Quiz-Instruct，为非英语教育技术领域做出开创性贡献。
摘要：
从教育内容中制作测验是一项关键活动，通过巩固学习和评估理解，使教师和学生都受益。在本研究中，我们引入了一种从土耳其语教育文本生成测验的新方法，标志着专门针对土耳其教育背景的教育技术领域的开创性尝试。我们提出了一个专门的数据集，名为Turkish-Quiz-Instruct，包含大量的土耳其语教育文本，并附有多项选择题和简答题测验。本研究利用大型语言模型（LLMs）的能力，包括GPT-4-Turbo、GPT-3.5-Turbo、Llama-2-7b-chat-hf和Llama-2-13b-chat-hf，从土耳其语教育内容中自动生成测验问题和答案。我们的工作描述了在土耳其语教育材料背景下使用这些LLMs的方法，从而为自动化土耳其语测验生成开辟了新途径。该研究不仅展示了使用此类模型生成连贯且相关的测验内容的有效性，还为非英语语言的自动化教育内容创建领域的未来研究树立了先例。Turkish-Quiz-Instruct数据集被作为宝贵资源引入，供旨在探索教育技术边界和LLMs在土耳其语中的特定语言应用的研究人员和从业者使用。通过解决非英语背景下特别是土耳其语的测验生成挑战，本研究对土耳其教育技术领域做出了重大贡献，提供了关于利用LLMs在多样化语言环境中实现教育目的的潜力的见解。
英文摘要：
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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