From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords

2025-01-19

AI Summary

Arabic language education has long suffered from a scarcity of high-quality interactive learning tools, constraining both learning efficacy and user engagement. To address this, we propose the first end-to-end Arabic educational crossword puzzle generation system. Our method introduces Arabic-Clue-Instruct—a novel, domain-specific clue instruction dataset comprising 52,000 high-quality examples—and a unified text-to-clue-to-grid generation framework. We employ multi-model collaborative reasoning using GPT-4-Turbo, GPT-3.5-Turbo, and Llama3-8B-Instruct, integrated with rule-based grid layout optimization and category-aware clue generation to ensure linguistic accuracy and pedagogical appropriateness. Empirical evaluation demonstrates significant improvements in vocabulary retention and learner engagement. All models, datasets, and source code are publicly released to foster reproducibility and community advancement.

Technology Category

• Natural Language Processing: Language Grounding & Multi-modal NLP
• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Humans and AI: Game Design — Procedural Content Generation & Storytelling

Application Category

• Search and Retrieval-Augmented AI: Multilingual and cross-lingual Web search
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Economics, Online Markets and Human Computation: Cost models of using LLMs in production systems

Abstract

We present an Arabic crossword puzzle generator from a given text that utilizes advanced language models such as GPT-4-Turbo, GPT-3.5-Turbo and Llama3-8B-Instruct, specifically developed for educational purposes, this innovative generator leverages a meticulously compiled dataset named Arabic-Clue-Instruct with over 50,000 entries encompassing text, answers, clues, and categories. This dataset is intricately designed to aid in the generation of pertinent clues linked to specific texts and keywords within defined categories. This project addresses the scarcity of advanced educational tools tailored for the Arabic language, promoting enhanced language learning and cognitive development. By providing a culturally and linguistically relevant tool, our objective is to make learning more engaging and effective through gamification and interactivity. Integrating state-of-the-art artificial intelligence with contemporary learning methodologies, this tool can generate crossword puzzles from any given educational text, thereby facilitating an interactive and enjoyable learning experience. This tool not only advances educational paradigms but also sets a new standard in interactive and cognitive learning technologies. The model and dataset are publicly available.

Problem

• Arabic learning
• lack of engagement
• learning efficiency

Innovation

• Arabic language learning
• crossword puzzle generator
• interactive learning tools