Quantitative literacy is necessary to keep pace with the exponentially increasing magnitude of biological data and the complexity of statistical tools. However, statistical programming can cause anxiety in new learners and educators alike. In order to produce graduates that are well-prepared for quantitative research, overcoming the initial…

Curricula in computer engineering, computer science, and other related fields include several courses about hardware design. Examples of these courses are digital logic design, computer architecture, microprocessors, computer interfacing, hardware design, embedded systems, switching theorem, and others. In order for the students to realize the…

One of the biggest hurdles of teaching data science and programming techniques to beginners is simply getting started with the technology. With multiple versions of the same coding language available (e.g., Python 2 and Python 3), various additional libraries and packages to install, as well as integrated development environments to navigate, the…

The three-dimensional design and production technologies are today widely used in many fields. Automotive, health, art and education, and especially architecture and engineering are among the prominent examples. The three-dimensional design technology can be categorized into two dimensions: design and production. The first of these dimensions,…

Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…

Background: Learning to code is increasingly embedded in secondary and higher education curricula, where solving programming exercises plays an important role in the learning process and in formative and summative assessment. Unfortunately, students admit that copying code from each other is a common practice and teachers indicate they rarely use…

This paper focuses on a historically understudied area in computing education: attending to students' *design thinking* in university-level introductory programming courses. I offer an account of one student--"Rebecca"--and her experiences and code from a second-semester course on programming concepts for engineers. Using data from both…

Background and Context: Learning to create self-directed and personally authentic programming projects involves encountering challenges and learning to get unstuck. Objective: This article investigates how one U.S. fourth-grade classroom engaged in practices which emphasized community supports, in the context of the classroom's implementation and…

Software engineers are tasked with writing functionally correct code of high quality. Maintainability is a crucial code quality attribute that determines the ease of analyzing, modifying, reusing, and testing a software component. This quality attribute significantly affects the software's lifetime cost, contributing to developer productivity and…

Mastering correct pronunciation is crucial for effective Spanish language learning and communication. However, many existing language learning resources lack adequate coverage of pronunciation guidance and feedback mechanisms. This study aims to address this gap by developing SpanishBot, an innovative chatbot designed to facilitate the learning of…

Background and context: Pair programming and oral exams were deployed in tandem in a remote undergraduate computer programming course to promote social interaction and enhance learning. Objectives: We investigate their impact on social interactions, sense of connection, academic performance, and academic integrity within a virtual learning…

The increasing demand for a diverse pool of computing talent combined with a persistent shortage of skilled workers has engendered a need to support students pursuing Computer Science (CS) careers. Students often cite social isolation and lack of support as reasons for withdrawing from computing programs. This is especially true for those from…

This review covers the core concepts and design decisions of TensorFlow. TensorFlow, originally created by researchers at Google, is the most popular one among the plethora of deep learning libraries. In the field of deep learning, neural networks have achieved tremendous success and gained wide popularity in various areas. This family of models…

This article builds on prior work that aims to measure computational learning (CL) during middle school. Since game computational sophistication (GCS) has been used as a proxy for a student's engagement in CL we build on their model to more completely describe the relationship between different types of building blocks of computer games and GCS.…

Integrating computational thinking (CT) into STEM disciplines requires secondary teachers to develop their pedagogical content knowledge of computing and content integration. Experienced teachers who choose to integrate CT in their secondary STEM courses may struggle in the same ways as novice teachers as they learn about programming and its…