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This paper introduces the first Turkish crossword puzzle generator designed to leverage the capabilities of large language models (LLMs) for educational purposes. In this work, we introduced two specially created datasets: one with over…

Computation and Language · Computer Science 2024-05-16 Kamyar Zeinalipour , Yusuf Gökberk Keptiğ , Marco Maggini , Leonardo Rigutini , Marco Gori

Multiple choice question answering tasks evaluate the reasoning, comprehension, and mathematical abilities of Large Language Models (LLMs). While existing benchmarks employ automatic translation for multilingual evaluation, this approach is…

Computation and Language · Computer Science 2024-10-04 Arda Yüksel , Abdullatif Köksal , Lütfi Kerem Şenel , Anna Korhonen , Hinrich Schütze

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…

Computation and Language · Computer Science 2025-01-22 Kamyar Zeinalipour , Mohamed Zaky Saad , Marco Maggini , Marco Gori

Integrating Artificial Intelligence (AI) in educational settings has brought new learning approaches, transforming the practices of both students and educators. Among the various technologies driving this transformation, Large Language…

Computation and Language · Computer Science 2025-06-06 Giorgio Biancini , Alessio Ferrato , Carla Limongelli

While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that requires training, experience and resources. Automatic question generation (QG)…

Machine Learning · Computer Science 2022-04-08 Fatih Cagatay Akyon , Devrim Cavusoglu , Cemil Cengiz , Sinan Onur Altinuc , Alptekin Temizel

Understanding the qualitative intent of citations is essential for a comprehensive assessment of academic research, a task that poses unique challenges for agglutinative languages like Turkish. This paper introduces a systematic methodology…

Computation and Language · Computer Science 2025-11-04 Kemal Sami Karaca , Bahaeddin Eravcı

Question generation (QG) is a natural language processing task with an abundance of potential benefits and use cases in the educational domain. In order for this potential to be realized, QG systems must be designed and validated with…

Computation and Language · Computer Science 2025-11-05 Sabina Elkins , Ekaterina Kochmar , Jackie C. K. Cheung , Iulian Serban

Background: Over the past few decades, the process and methodology of automated question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the…

Artificial Intelligence · Computer Science 2024-12-06 Dominic Lohr , Marc Berges , Abhishek Chugh , Michael Kohlhase , Dennis Müller

As Large Language Models (LLMs) and other forms of Generative AI permeate various aspects of our lives, their application for learning and education has provided opportunities and challenges. This paper presents an investigation into the…

Computers and Society · Computer Science 2023-06-06 Daniel Leiker , Sara Finnigan , Ashley Ricker Gyllen , Mutlu Cukurova

Language models have made remarkable advancements in understanding and generating human language, achieving notable success across a wide array of applications. However, evaluating these models remains a significant challenge, particularly…

Computation and Language · Computer Science 2025-01-07 M. Ali Bayram , Ali Arda Fincan , Ahmet Semih Gümüş , Banu Diri , Savaş Yıldırım , Öner Aytaş

In order to train children's ability to ask curiosity-driven questions, previous research has explored designing specific exercises relying on providing semantic and linguistic cues to help formulate such questions. But despite showing…

Computation and Language · Computer Science 2023-07-04 Rania Abdelghani , Yen-Hsiang Wang , Xingdi Yuan , Tong Wang , Pauline Lucas , Hélène Sauzéon , Pierre-Yves Oudeyer

Developing questions that are pedagogically sound, relevant, and promote learning is a challenging and time-consuming task for educators. Modern-day large language models (LLMs) generate high-quality content across multiple domains,…

Computation and Language · Computer Science 2024-08-23 Nicy Scaria , Suma Dharani Chenna , Deepak Subramani

This study explores the effectiveness of Large Language Models (LLMs) for Automatic Question Generation in educational settings. Three LLMs are compared in their ability to create questions from university slide text without fine-tuning.…

Computation and Language · Computer Science 2024-09-17 Ivo Lodovico Molina , Valdemar Švábenský , Tsubasa Minematsu , Li Chen , Fumiya Okubo , Atsushi Shimada

Large language models (LLMs) have demonstrated astonishing capabilities in natural language processing (NLP) tasks, sparking interest in their application to professional domains with higher specialized requirements. However, restricted…

Computation and Language · Computer Science 2024-05-09 Zheyan Qu , Lu Yin , Zitong Yu , Wenbo Wang , Xing zhang

We explore the automatic generation of interactive, scenario-based lessons designed to train novice human tutors who teach middle school mathematics online. Employing prompt engineering through a Retrieval-Augmented Generation approach with…

Language models have made significant advancements in understanding and generating human language, achieving remarkable success in various applications. However, evaluating these models remains a challenge, particularly for resource-limited…

Computation and Language · Computer Science 2025-08-19 M. Ali Bayram , Ali Arda Fincan , Ahmet Semih Gümüş , Banu Diri , Savaş Yıldırım , Öner Aytaş

This study delves into the application potential of the large language models (LLMs) ChatGLM in the automatic generation of structured questions for National Teacher Certification Exams (NTCE). Through meticulously designed prompt…

Computers and Society · Computer Science 2024-08-21 Ling He , Yanxin Chen , Xiaoqiang Hu

While the rise of large language models (LLMs) has created rich new opportunities to learn about digital technology, many on the margins of this technology struggle to gain and maintain competency due to lexical or conceptual barriers that…

Computation and Language · Computer Science 2024-03-28 Evan Lucas , Kelly S. Steelman , Leo C. Ureel , Charles Wallace

Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of using Large Language Models (LLMs) to author Intelligent…

Computation and Language · Computer Science 2024-04-26 Sankalan Pal Chowdhury , Vilém Zouhar , Mrinmaya Sachan

Large Language Models (LLMs) are becoming crucial across various fields, emphasizing the urgency for high-quality models in underrepresented languages. This study explores the unique challenges faced by low-resource languages, such as data…

Computation and Language · Computer Science 2024-05-09 Emre Can Acikgoz , Mete Erdogan , Deniz Yuret
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