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Constraint-satisfaction problems (CSPs) are ubiquitous, ranging from budgeting for grocery shopping to verifying software behavior. Logic modeling helps solve CSPs programmatically using SMT solvers. Despite its importance in many Computer…

Human-Computer Interaction · Computer Science 2025-06-11 Ruanqianqian Huang , Ayana Monroe , Peli de Halleux , Sorin Lerner , Nikolaj Bjørner

Robotics sets have been successfully used in elementary and secondary schools in conformance with the 'learning through play' philosophy fostered by LEGO Education, while utilizing the Constructionism didactic approach. Learners discover…

Robotics · Computer Science 2024-02-28 Pavel Petrovič , Fedir Agarshev

Advancements in large language models (LLMs) have sparked a growing interest in measuring and understanding their behavior through experimental economics. However, there is still a lack of established guidelines for designing economic…

General Economics · Economics 2025-07-17 Shu Wang , Zijun Yao , Shuhuai Zhang , Jianuo Gai , Tracy Xiao Liu , Songfa Zhong

Feedback is one of the most crucial components to facilitate effective learning. With the rise of large language models (LLMs) in recent years, research in programming education has increasingly focused on automated feedback generation to…

Computers and Society · Computer Science 2025-09-05 Niklas Scholz , Manh Hung Nguyen , Adish Singla , Tomohiro Nagashima

Novice programmers benefit from timely, personalized support that addresses individual learning gaps, yet the availability of instructors and teaching assistants is inherently limited. Large language models (LLMs) present opportunities to…

Computers and Society · Computer Science 2025-10-07 Griffin Pitts , Anurata Prabha Hridi , Arun-Balajiee Lekshmi-Narayanan

E-learning is a widely used learning method, but with the development of society, traditional E-learning method has exposed some shortcomings, such as the boring way of teaching, so that it is difficult to increase the enthusiasm of…

Computers and Society · Computer Science 2022-01-19 Huansheng Ning , Hang Wang , Wenxi Wang , Xiaozhen Ye , Jianguo Ding , Per Backlund

Fun acts as a catalyst for learning by enhancing motivation, active engagement and knowledge retention. As social robots gain traction as educational tools, understanding how their unique affordances can be leveraged to cultivate fun…

Human-Computer Interaction · Computer Science 2024-11-06 Elaheh Sanoubari , John Edison Muñoz , Ali Yamini , Neil Randall , Kerstni Dautenhahn

Design skills are increasingly recognized as a core competency for software professionals. Unfortunately, these skills are difficult to teach because design requires freedom and open-ended thinking, but new designers require a structured…

Computers and Society · Computer Science 2024-10-17 Christopher William Schankula , Habib Ghaffari Hadigheh , Spencer Smith , Christopher Kumar Anand

Generative models are now used to create a variety of high-quality digital artifacts. Yet their use in designing physical objects has received far less attention. In this paper, we advocate for the construction toy, LEGO, as a platform for…

Artificial Intelligence · Computer Science 2020-12-22 Rylee Thompson , Elahe Ghalebi , Terrance DeVries , Graham W. Taylor

The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. As a game is subjected to large-scale player testing, the designers…

Human-Computer Interaction · Computer Science 2022-10-19 Luke Swanson , David Gagnon , Jennifer Scianna , John McCloskey , Nicholas Spevacek , Stefan Slater , Erik Harpstead

Design patterns provide reusable solutions to recurring software design problems. Automatically detecting these patterns in source code can help bootstrap new developers' understanding of unfamiliar software system architectures, and can…

Software Engineering · Computer Science 2026-04-21 Oishik Chowdhury , Bastin Tony Roy Savarimuthu , Sherlock A. Licorish

Procedural content generation via Machine Learning (PCGML) is the umbrella term for approaches that generate content for games via machine learning. One of the benefits of PCGML is that, unlike search or grammar-based PCG, it does not…

Artificial Intelligence · Computer Science 2018-09-26 Matthew Guzdial , Joshua Reno , Jonathan Chen , Gillian Smith , Mark Riedl

The swift evolution of Large-scale Models (LMs), either language-focused or multi-modal, has garnered extensive attention in both academy and industry. But despite the surge in interest in this rapidly evolving area, there are scarce…

Artificial Intelligence · Computer Science 2024-03-18 Xinrun Xu , Yuxin Wang , Chaoyi Xu , Ziluo Ding , Jiechuan Jiang , Zhiming Ding , Börje F. Karlsson

This paper presents a comprehensive exploration of leveraging Large Language Models (LLMs), specifically GPT-4, in the field of instructional design. With a focus on scaling evidence-based instructional design expertise, our research aims…

Computation and Language · Computer Science 2023-06-27 Gautam Yadav

Design patterns have been used in various fields of inquiry and endeavour to externalize procedural knowledge in a form that supports human reasoning and coordination. In this paper, we show that contemporary Large Language Model…

Human-Computer Interaction · Computer Science 2026-02-05 Joseph Corneli , Charles J. Danoff , Raymond S. Puzio , Sridevi Ayloo , Sergio Belich , Andre Wilkinson , Mary Tedeschi , Pauline Mosley

The learning process is a process of communication and interaction between the teacher and his students on one side and between the students and each others on the other side. Interaction of the teacher with his students has a great…

Other Computer Science · Computer Science 2009-11-03 A. E. E. Elalfi , M. E. Elalami , Y. M . Asem

Reinforcement learning (RL) offers a capable and intuitive structure for the fundamental sequential decision-making problem. Despite impressive breakthroughs, it can still be difficult to employ RL in practice in many simple applications.…

Artificial Intelligence · Computer Science 2024-01-18 Aida Afshar , Wenchao Li

Large language models (LLMs) have achieved striking successes on many benchmarks, yet recent studies continue to expose fundamental weaknesses. In this paper, we introduce Concept, a simple word-guessing board game, as a benchmark for…

Computation and Language · Computer Science 2026-01-07 Ine Gevers , Walter Daelemans

Large language models (LLMs) are increasingly deployed to support human decision-making. This use of LLMs has concerning implications, especially when their prescriptions affect the welfare of others. To gauge how LLMs make social…

Computers and Society · Computer Science 2026-01-16 Saptarshi Pal , Abhishek Mallela , Christian Hilbe , Lenz Pracher , Chiyu Wei , Feng Fu , Santiago Schnell , Martin A Nowak

The introduction of serious games as pedagogical supports in the field of education is a process gaining in popularity amongst the teaching community. This article creates a link between the integration of new pedagogical solutions in…

Computers and Society · Computer Science 2017-10-24 Raphaël Marczak , Pierre Hanna , Christine Hanna
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