We propose a set of design principles to guide the design of a programming language intended for general, practical use. These principles center around supporting the development of robust programs, supporting independent development, the evolution o...
The semantics of programming languages tend to be discussed with high levels of formality; much of the previous research—both philosophical and historical—has investigated them from this perspective. In this paper, I draw on the philosoph...
New programming languages are often designed to keep up with technological advancements and project requirements while also learning from previous attempts and introducing more powerful expression mechanisms. However, most existing dynamic programmin...
It is important to establish solid mathematical knowledge throughout the education period. Matrices are important mathematical objects commonly used in many diverse disciplines, including mathematics, engineering, and science. Most problems encounter...
This paper describes the Pawns programming language, currently under development, which uses several novel features to combine the functional and imperative programming paradigms. It supports pure functional programming (including algebraic data type...
At 2000 m depth in the oceans, one can hear biological, seismological, meteorological, and anthropogenic activity. Acoustic monitoring of the oceans at a global scale and over long periods of time could bring important information for various science...
The most severe problem in cross-programming languages is feature extraction due to different tokens in different programming languages. To solve this problem, we propose a cross-programming-language vulnerability detection method in this paper, IRC-...
Fully distributed intelligent building systems can be used to effectively reduce the complexity of building automation systems and improve the efficiency of the operation and maintenance management because of its self-organization, flexibility, and r...
Maker education that incorporates computational thinking streamlines learning and helps familiarize learners with recent advances in science and technology. Computational thinking (CT) is a vital core capability that anyone can learn. CT can be learn...
This paper provides a comprehensive review of the literature concerning the utilization of Natural Language Processing (NLP) techniques, with a particular focus on transformer-based large language models (LLMs) trained using Big Code, within the doma...
Large language models (LLMs) are changing how students approach problem solving, code interpretation, and software development. Successful task completion with AI assistance, however, does not necessarily indicate conceptual understanding of underlyi...
Large language models (LLMs) are increasingly used in software development, yet their ability to generate and maintain large, multi-module systems through natural language interaction remains insufficiently characterized. This study presents an empir...
Visual programming languages (VPLs) play a significant role in simplifying the process of learning to program and reducing development time. Most VPLs are developed for use in education or specific domains. Recently, some projects have aimed to provi...
The ability to automatically generate code, i.e., program synthesis, is one of the most important applications of artificial intelligence (AI). Currently, two AI techniques are leading the way: large language models (LLMs) and genetic programming (GP...
The increasing application of industrial robots in modern production systems contrasts with a persistently high programming complexity that requires specialized know-how and creates substantial entry barriers. This work addresses this problem by intr...
Mathematical biology spans multiple computational regimes—from ordinary differential equation models of gene regulatory networks to stochastic simulation of chemical kinetics and reaction-diffusion models of spatial pattern formation—each...
Recent advancements in Large Language Models (LLMs) like ChatGPT and Copilot have led to their integration into various educational domains, including software development education. Regular use of LLMs in the learning process is still not well-resea...
We propose a methodology to verify applications developed following programming patterns inspired by natural language that interact with physical environments and run on resource-constrained interconnected devices. Natural language patterns allow for...
The rapid evolution of video programming tutorials as a key educational resource has highlighted the need for effective code extraction methods. These tutorials, varying widely in video quality, present a challenge for accurately transcribing the emb...
Programming education has become increasingly vital within global K–12 curricula, and large language models (LLMs) offer promising solutions to systemic challenges such as limited teacher expertise and insufficient personalized support. Adoptin...
Drying is an important process for food security. A software application on a smartphone can be used to prevent mistakes while carrying out the calculations for drying investigation and research using several mathematical equations. The objective of...
Programming education traditionally requires extensive manual assessment of student assignments, which is both time-consuming and resource-intensive for instructors. Recent advances in large language models (LLMs) open opportunities for automating th...
Despite the prevalence of mixed language programs across the United States, their impact on the unique socio-affective needs of heritage language (HL) students has not been researched sufficiently. Therefore, the present study examines HL learners’ c...
Global warming is a critical issue today, largely due to the widespread use of fossil fuels in everyday life. One promising solution to reduce reliance on conventional energy sources is to promote the use of renewable power. In particular, to encoura...
Can human languages help us write programs in a different way than we usually do? To examine this question, we first define exactly what it means for a programming language to be “derived from” a human language. Next, we analyse cases in...
The rate of software development has increased dramatically. Conventional compilers cannot assess and detect all source code errors. Software may thus contain errors, negatively affecting end-users. It is also difficult to assess and detect source co...
The problem of the optimal reactive power flow in transmission systems is addressed in this research from the point of view of combinatorial optimization. A discrete-continuous version of the Chu & Beasley genetic algorithm (CBGA) is proposed to...
Web-based cooperative learning could enhance students’ learning motivation; however, learning activities in this process are rather confusing because of the lack of structured learning strategies, resulting in unfavorable learning achievements....
This paper investigates intensional differences between programming languages—understood as differences in how computational processes are expressed, structured, and specified rather than merely in what they compute. While such differences have...
The rapid and accurate annotation of the complex compounds and metabolites in natural products remains a significant challenge. In this study, we developed an integrated strategy to efficiently and accurately profile both the prototypes and metabolit...
This paper proposes a symmetry language of block-based to design novel educational programming called the JLcoding system. JLcoding system helps students convert from a block-based language to a text-based programming language. The interface and func...
Language and culture are intrinsically intertwined, and culture should not be considered as an expendable fifth skill in language teaching. Bilingual programs are expected to be a key element to enhance culture learning and to develop intercultural c...
This study investigates the effects of LLM-based coding assistance on web application development by students using a frontend framework. Rather than comparing different models, it focuses on how students interact with LLM tools to isolate the impact...
This article summarizes the literature on the design of a conceptual framework for secondary translanguaging classrooms. As school districts move to expand dual language programs beyond elementary schools, they are obligated to ensure that these prog...
The eLearning approach to programming language instruction has gained widespread acceptance due to advantages such as accessibility, temporal flexibility, and content reusability. However, the current eLearning for programming predominantly employs t...
In 1978, Brian Kernighan and Dennis Ritchie insisted that the first program to write in a new language is one to print the words “hello, world.” From then until now, “hello, world” has frequently been the first exercise in int...
About 5–10% of software engineers suffer from repetitive strain injury, and it would be better to provide an alternative way to write code instead of using a mouse and keyboard and sitting on a chair the whole day. Coding by voice is an attract...
This paper presents a quantitative evaluation of an automatic translation system between industrial robot programming languages based on a sequence-to-sequence (Seq2Seq) neural architecture using Long Short-Term Memory (LSTM) networks. The study addr...
This paper introduces an ontology-based approach within an adaptive learning support system for computer programming. This system is designed to deliver personalized programming exercises that are tailored to individual learners’ skill levels....
The maturity level reached by today’s commodity platforms makes even low-cost PCs viable alternatives to dedicated hardware to implement real network functions without sacrificing performance. Indeed, the availability of multi-core processing p...
Skilled programmers are in high demand, and a critical obstacle to satisfying this demand is the difficulty of acquiring programming skills. This issue can be addressed with automated assessment, which gives fast feedback to students trying to code,...
The objective of this research is to study the Scratch programming language as a didactic tool to teach functions. The introduction of didactic tools allowing comprehension in simple and attractive ways is required. Given the traditional teaching/lea...
This paper presents GraphPPL.jl, a novel probabilistic programming language designed for graphical models. GraphPPL.jl uniquely represents probabilistic models as factor graphs. A notable feature of GraphPPL.jl is its model nesting capability, which...
In the realm of software development, automated program repair (APR) emerges as a pivotal technique, autonomously debugging faulty code to boost productivity. Despite the notable advancements of large pre-trained language models of code (PLMCs) in co...
The article presents the statistical quality of number sequences produced by pseudorandom number generators (PRNGs) built into or available in libraries of contemporary programming languages. Since PRNGs are foundational to many sciences, including c...
Keyword recognition represents a fundamental skill in programming, yet little research has examined how novices develop this ability or how language background affects keyword learning. This study investigated cognitive load and keyword recognition a...
The changing economic environment in Taiwan has led to an increase in the structure of double-income families. To compensate for the lack of time to take care of their children and the regret of their learning process, parents will send their childre...
When students use an online eTextbook with content and interactive graded exercises, they often display aspects of two types of behavior: credit-seeking and knowledge-seeking. A student might behave to some degree in either or both ways with given co...
Rust is a new system-level programming language that prioritizes performance, safety, and productivity. However, as evidenced in many previous works, unsafe code fragments broadly exist in Rust projects. The use of these unsafe fragments can fundamen...
This study proposed combining problem-based learning (PBL) with different collaboration learning strategies in flipped classrooms to improve learners’ learning motivation and learning outcomes. The main idea was to design a teaching process bas...
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