Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…

Students today are often assumed to be digitally literate and prepared for college, but that is not always the case. Introductory technology courses at the college level provide students with the technology and digital skills necessary for them to succeed in college. This study, conducted at a small New England "business school" that…

It has become increasingly important for future business professionals to understand statistical computing methods as data science has gained widespread use in contemporary organizational decision processes in recent years. Used by scores of academics and practitioners in a variety of fields, Monte Carlo simulation is one of the most broadly…

In the domain of programming, a growing number of algorithms automatically generate data-driven, next-step hints that suggest how students should edit their code to resolve errors and make progress. While these hints have the potential to improve learning if done well, few evaluations have directly assessed or compared the quality of different…

Computer adaptive testing is an important research field in educational measurement, and simulation studies play a critically important role in CAT development and evaluation. Both Monte Carlo and Post Hoc simulations are frequently used in CAT studies in order to investigate the effects of different factors on test efficiency and to compare…

The purposes of the current study were to develop a management system for the national sports development fund in Thailand and (2) to evaluate the developed fund management system. The participants were 15 experts in system development. They were selected by the purposive sampling method. The participants had more than 10 years of programming and…

Background and Context: automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. Objective: to investigate the impacts of different designs of automated feedback on student learning at a fine-grained level, and how…

This study aims to examine the effects of mixture item response theory (IRT) models on item parameter estimation and classification accuracy under different conditions. The manipulated variables of the simulation study are set as mixture IRT models (Rasch, 2PL, 3PL); sample size (600, 1000); the number of items (10, 30); the number of latent…

Learning to program has long been known to be a difficult task, requiring a student to develop both fluency in the syntax and grammar of a formal programming language and learn the problem-solving approaches and techniques of computational thinking. The successful teaching strategies of the past have involved maintaining small teacher-student…

Software security is inevitably dependent on developers' ability to to design and implement software without security bugs. Perhaps unsurprisingly, developers often fail to do this. Our goal is to understand this from a usability perspective, identifying how we might best train developers and equip them with the right software tools. To this end,…

Contribution: Research has shown that computer science (CS) students who start programming assignments (PAs) early generally receive higher grades. This article presents and evaluates a gamification approach that utilizes software engineering tools to motivate CS students to start and finish PAs earlier. Background: CS can be difficult to learn…

Fashion designers in the digital era will be expected to have a profound knowledge of programming and physical computing. Therefore, finding effective methods to adopt E-textiles in fashion education is developing imperative furtherance. E-textiles are clothes embedded with microcomputers, digital components (sensor, LED), and other electronic…

The COVID-19 pandemic has swiftly forced a change in learning strategies across educational institutions, from extensively relying on in-person activities toward online teaching. It is particularly difficult to adapt courses that depend on physical equipment to be now carried out remotely. This is the case for bioinformatics, which typically…

Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…

Computer use has become a fact of life, especially for children, many of whom were forced to switch to online learning during the COVID-19 pandemic and resorted to digital hobbies as a safety measure. Further the amount of time children spend on computers, as well as the number of different computer devices that pervade our post-pandemic society…