Background and Context: Students' programming projects are often assessed on the basis of their tests as well as their implementations, most commonly using test adequacy criteria like branch coverage, or, in some cases, mutation analysis. As a result, students are implicitly encouraged to use these tools during their development process (i.e., so…

This study aimed to examine the quality of the open-access GeoGebra applets for function transformations by attending to the opportunity to learn function transformations afforded by them. Guided by the variation theory, this study conceptualized the opportunity to learn function transformations as the opportunity to discern critical features of…

Understanding software modelers' difficulties and evaluating their performance is crucial to Model-Driven Engineering (MDE) education. The software modeling process contains fine-grained information about the modelers' analysis and thought processes. However, existing research primarily focuses on identifying obvious issues in the software…

Regarding the caliber of newly-graduated professionals, the software industry expresses discontent. Therefore, software industries spend on training these individuals to improve software development process-related skills. According to various research studies, one reason for the lack of skilled graduates is a gap between industry and academia.…

It is important that software testing courses at universities provide students with testing skills that are close to the skills needed by industry. To investigate if these courses do accomplish this role, this research provides comparison and empirical analysis of the topics provided by 80 software testing courses in nine countries around the…

A premise of this article is that the current methods used in mathematics education research may be preventing researchers from adequately addressing the body and, in particular, the alignment of acting and knowing. Pursuing a non-dualistic and non-hierarchical approach to learning and knowing, I experiment with new methods that aim to increase…

Software is usually considered enabler for innovation in education. Thus, it is necessary to investigate: What leads to innovation in education and which, therefore, should be considered in the development of educational software? How to support decision-making for choosing software to be used in teaching and learning? How to evaluate software…

Generative AI systems, such as ChatGPT and Bard, can significantly enhance education by providing personalized learning experiences. They can tailor content, quizzes, and explanations to individual students; act as virtual tutors, and offer instant feedback. However, privacy concerns have arisen because of the need for personal data. Ensuring…

Mobile language learning (MLL) is an emerging field of research, and many MLL applications have been developed over the years. In this paper, a systematic literature review (SLR) was conducted to establish a body of knowledge on the development of MLL applications. The SLR analyzed forty seven papers from seven different digital libraries…

The objective of this research is to investigate the effectiveness of integrating natural language processing (NLP) technologies into an English language learning program aimed at enhancing auditory and speaking competencies. The methodology of the research is grounded in the development and testing of the intervention effectiveness of neural…

Eye gaze tracking has recently become indispensable for domains like virtual reality, augmented reality, human-computer interaction and advertisement. The commercial eye gaze tracking equipment is too expensive to be used by the masses. In this manuscript, a non-invasive, low-resolution ordinary camera-based system has been proposed for tracking…

Design patterns for learning are about articulating, testing and sharing the principles of problem solving in the educational context. In this way, multiple patterns are developed to solve common problems, described in various pattern language formats. Therefore, this work is about characterizing and establishing functional relationships between…

Accurate data extraction is a key component of evidence synthesis and critical to valid results. The advent of publicly available large language models (LLMs) has generated interest in these tools for evidence synthesis and created uncertainty about the choice of LLM. We compare the performance of two widely available LLMs (Claude 2 and GPT-4) for…

Most researchers receive formal training in frequentist statistics during their undergraduate studies. In particular, hypothesis testing is usually rooted on the null hypothesis significance testing paradigm and its p-value. Null hypothesis Bayesian testing and its so-called Bayes factor are now becoming increasingly popular. Although the Bayes…

Institutional repositories (IRs) remain a powerful tool for opening, sharing, and preserving scholarship. Scholarly communication (SC) services and resources are essential to promoting and supporting IRs. Linking SC services within an IR offers support to users at their point of need. This study investigates the prevalence of web linking between…