This introduction to Jupyter Notebooks (JNBs) is an outcome of a year of learning, creating, and classroom testing JNBs in a variety of settings: a sabbatical with an urban violence reduction organization; an after school distance learning program for low to middle income high school students in Chicago; a general education computer-lab based math…

Think alouds are valuable tools for academicians, test developers, and practitioners as they provide a unique window into a respondent's thinking during an assessment. The purpose of this special issue is to highlight novel ways to use think alouds as a means to gather evidence about respondents' thinking. An intended outcome from this special…

Practical constraints in rater-mediated assessments limit the availability of complete data. Instead, most scoring procedures include one or two ratings for each performance, with overlapping performances across raters or linking sets of multiple-choice items to facilitate model estimation. These incomplete scoring designs present challenges for…

Many postsecondary datasets collect gender data in ways that are not inclusive of all students. Many trans* students, those who identify as trans women, trans men, genderqueer, among other gender identities, are excluded when surveys collect gender data using only two categories. The American Bar Association recently became the first sector of…

Hiring academic staff into departments and supporting them remains the single costliest activity that most institutions of higher learning engage in and requires careful, long-term, data-driven planning. This study identifies widely available (but seldom actually used) variables needed for this process: available instructional workload units and…

This work presents two electronic systems experiments with resonance tubes, which generate automatically a sequence of several sound wave frequencies in a range defined by the user and then verifies the amplitude of each one in real-time, allowing for the immediate data visualization in a graph. Besides, they save all the frequency values and the…

To meet the research, teaching, and learning needs of their users, academic librarians, particularly those functioning as subject liaisons, are expected to know the institution's curriculum and research areas so that they can help shape library strategies to meet those needs and to connect users to the library's resources and services. The present…

Multiple outcome recurrent event data are typical in social sciences, where several outcomes on an individual are collected. In situations where aggregated counts of events over a long observation period are recorded, rounding is common, leading to counts being heaped at rounded values. We consider situations where multiple outcome recurrent event…

Billions of data in social media have provided a very influential platform for researchers to make research on data analysis. In the digital age, it has become essential for conducting an analysis of written things in social media in which the individuals express easily themselves without any pressure and for studying big data. It has been known…

In 2003, Holmes [The Statistician 52, Part 4, (2003), 439-474] reviewed 50 years of teaching statistics in English schools and drew out many lessons for more effective teaching. We consider the current relevance of several of these lessons and whether we have learned from them. Many national reports have been published about teaching statistics…

While teachers' core responsibility is to provide high-quality instruction, they are also expected to engage in data-based decision-making (DBDM), e.g., to analyse and use data to improve instruction. We developed a relevance intervention to promote student teachers' self-determined motivation and application intentions for DBDM and implemented it…

Real-time quantitative PCR is a technique used to monitor the PCR reaction in real time. RT-qPCR is broadly classified into two types based on its purpose: absolute and relative quantification. Absolute quantification is used in a wide array of fields such as microbiology, food technology, and biotechnology to quantify the microbiological…

Typical longitudinal growth models assume constant functional growth over time. However, there are often conditions where trajectories may not be constant over time. For example, trajectories of psychological behaviors may vary based on a participant's age, or conversely, participants may experience an intervention that causes trajectories to…

We present a critical perspective on the current state of research on educational dialogues, within and without Computer-Supported Collaborative Learning environments, in order to propose research perspectives in the intersection of these two domains. Our main proposal is that in order to integrate different types of human or machine analyzed data…

Few data-driven approaches are available to estimate the risk of conclusion change in systematic review updates. We developed a rule-based approach to automatically extract information from reviews and updates to be used as features for modelling conclusion change risk. Rules were developed to extract relevant information from published Cochrane…