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This paper investigates how high school students approach computing through an introductory computer science course situated in the Logic Programming (LP) paradigm. This study shows how novice students operate within the LP paradigm while…

Computers and Society · Computer Science 2017-06-29 Timothy Yuen , Maritz Reyes , Yuanlin Zhang

Mastering one or more programming languages has historically been the gateway to implementing ideas on a computer. Today, that gateway is widening with advances in large language models (LLMs) and artificial intelligence (AI)-powered coding…

Computers and Society · Computer Science 2025-11-25 Douglas C. Schmidt , Dan Runfola

The Louisiana Department of Education partnered with the Gordon A. Cain Center at LSU to pilot a Computing High School Graduation Pathway. The first course in the pathway, Introduction to Computational Thinking (ICT), is designed to teach…

Computers and Society · Computer Science 2019-12-03 Fernando Alegre , John Underwoood , Juana Moreno , Mario Alegre

We introduce a newly designed undergraduate-level interdisciplinary course in scientific computing that aims to prepare students as the next generation of research-oriented computational scientists and engineers. The course offers students…

Physics Education · Physics 2022-04-05 Tulin Kaman , Rouben Rostamian , Shannon W. Dingman

What would you teach if you had only one course to help students grasp the essence of computation and perhaps inspire a few of them to make computing a subject of further study? Assume they have the standard college prep background. This…

Computers and Society · Computer Science 2013-01-23 Rex Page , Ruben Gamboa

Computational thinking is a key skill for space science graduates, who must apply advanced problem-solving skills to model complex systems, analyse big data sets, and develop control software for mission-critical space systems. We describe…

Computation, the use of a computer to solve, simulate, or visualize a physical problem, has revolutionized how physics research is done. Computation is used widely to model systems, to simulate experiments, and to analyze data. Yet, in most…

Physics Education · Physics 2015-11-18 Marcos D. Caballero

Computational thinking in physics has many different forms, definitions, and implementations depending on the level of physics, or the institution it is presented in. In order to better integrate computational thinking in introductory…

Physics Education · Physics 2023-08-08 Justin Gambrell , Eric Brewe

This chapter narrates the journey of developing and integrating computing into the physics curriculum through three consecutive courses, each tailored to the learners' level. It starts with the entry-level "Physics Playground in Python" for…

Physics Education · Physics 2024-08-06 Maria C. Babiuc Hamilton

Computation has revolutionized science and is gradually making its way into science teaching and learning. However, we currently lack theoretical frameworks to make sense of how students learn to use computation as a disciplinary tool. In…

Physics Education · Physics 2024-03-26 Tor Ole B. Odden , Benjamin Zwickl

In contrast to Computer Science, where the fundamental role of Logic is widely recognized, it plays a practically non-existent role in Information Systems curricula. In this paper we argue that instead of Logic's exclusion from the IS…

Computers and Society · Computer Science 2015-07-19 Anna Zamansky , Eitan Farchi

Computation has become an integral part of physics research. However, little is known about how students learn to productively use computation as a tool beyond the introductory level, especially as they transition into physics research. In…

Physics Education · Physics 2026-01-27 Karl Henrik Fredly , Tor Ole B. Odden , Benjamin M. Zwickl

Most efforts to incorporate computational thinking in K-12 education have been focused on students in their first cycles of school education and have used visual tools, such as Scratch and Alice. Fewer research projects have studied the…

Computers and Society · Computer Science 2019-10-15 Felipe González , Claudia López , Carlos Castro

Technology is currently ubiquitous and is also part of the educational system at all levels. It started with communication technology systems, and later continued with digital competence. Nowadays, although these previous concepts are still…

Computers and Society · Computer Science 2025-02-18 Javier Bilbao , Eugenio Bravo , Olatz Garcia , Carolina Rebollar

Learning to code, and more broadly, learning about computer science is a growing field of activity and research. Under the label of computational thinking, computational concepts are increasingly used as cognitive tools in many subject…

Computers and Society · Computer Science 2020-05-11 Hannah M. Dee , Jordi Freixenet , Xavier Cufi , Eduard Muntaner Perich , Valentina Poggioni , Marius Marian , Alfredo Milani

Developing competency in artificial intelligence is becoming increasingly crucial for computer science (CS) students at all levels of the CS curriculum. However, most previous research focuses on advanced CS courses, as traditional…

Computers and Society · Computer Science 2025-03-26 Tahiya Chowdhury

This is a reflection on the author's experience in teaching logic at the graduate level in a computer science department. The main lesson is that model building and the process of modelling must be placed at the centre stage of logic…

Computers and Society · Computer Science 2015-07-19 Roger Villemaire

The ubiquity of technology in our daily lives and the economic stability of the technology sector in recent years, especially in areas with a computer science footing, has led to an increase in computer science enrollment in many parts of…

Computers and Society · Computer Science 2014-05-13 Zubair Nabi

An important learning objective for computer science students is to learn how to formalize descriptions of real world scenarios in order to subsequently solve real world challenges using methods and algorithms from formal foundations of…

Logic in Computer Science · Computer Science 2025-05-01 Tristan Kneisel , Fabian Vehlken , Thomas Zeume

Recent advances in AI, machine learning, and NLP have led to the development of a new generation of Large Language Models (LLMs) that are trained on massive amounts of data and often have trillions of parameters. Commercial applications…

Computation and Language · Computer Science 2024-04-05 Nishat Raihan , Dhiman Goswami , Sadiya Sayara Chowdhury Puspo , Christian Newman , Tharindu Ranasinghe , Marcos Zampieri
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