The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented…

This study investigates sixth-grade students' explorations of tessellations with Scratch through the mathematical aesthetics. For this purpose, the study analyzed the students' explorations by considering the roles of mathematical aesthetics identified by Sinclair (2004): generative, evaluative, and motivational role. Six middle-school students…

The analysis of spoken language has been integral to a breadth of research in social science and beyond. However, for analyses to occur with efficiency, language must be in the form of computer-readable text. Historically, the speech-to-text process has occurred manually using human transcriptionists. Automated speech recognition (ASR) is…

The current longitudinal case study investigated emotional and motivational states in a self-directed and mobile-assisted language learning environment. The participant of the study was a highly motivated language learner who used the Busuu application for a period of one year to learn German. Tracing the participant's emotional and motivational…

Persons with chronic health conditions, such as heart disease, diabetes, hypertension, and others, often experience self-management problems that are not disease-specific. These include disrupted sleep, pain, memory issues, and challenges in working with healthcare providers. These patients may benefit from information and skill development for…

Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…

Career development is an important aspect of every young person's life as it helps them identify their skills, interests and goals and find the right career path for themselves. Career skills are a broad range of competencies and abilities that are necessary for success in the workplace. Developing them through education, training and experience…

The current music education paradigm may be considered an oppressive experience for both students and teachers through its historical foundation, standardized nature, and focus on Western art repertoire and its associated skill building. Realizing the oppressive nature of many aspects of music education, some scholars and practitioners have sought…

Here, students determine the total protein content in whey protein samples using the Lowry assay. Quantitative analysis was carried out using absorbance measured at 750 nm (standard method) and 96-well-plate digital images obtained using smartphones (proposed method). The proposed method was carried out using two smartphones (1 and 2). Smartphone…

The year 2020 will be remembered as the year of COVID-19 and its subsequent lockdowns. The time to return to face-to-face teaching has arrived, but the shadow of the disease still hangs over teachers, students, and society. Disruption in teaching can still occur for students, or even teachers, if they are either diagnosed as COVID-19 positive or…

The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…

People with disabilities rely on a range of accessible technologies to interface with the digital world. However, their needs are often not considered when developing applications in introductory computer sciences courses. These courses traditionally focus on teaching technical skills that do not include those for designing and developing…

Stan is a flexible probabilistic programming language providing full Bayesian inference through Hamiltonian Monte Carlo algorithms. The benefits of Hamiltonian Monte Carlo include improved efficiency and faster inference, when compared to other MCMC software implementations. Users can interface with Stan through a variety of computing…

We describe the results of a master's thesis in malware detection and discuss the connection to the learning goals of the project. As part of the thesis, we studied obfuscation of malware, conversion of files into images, image processing, and machine learning, a process of benefit to both the student and faculty. Malware detection becomes…

Context: This study analyzes the implementation of a blended learning middle school mathematics intervention in a large urban school district in the northeastern United States. Blended learning models integrate online instructional tools within traditional methods of classroom instruction. Focus of Study: As their use increases in classrooms…