We recorded the percentage of students voting on each option on every clicker question used in 19 introductory statistics classes. To identify the questions that provide the most useful feedback, we looked for those for which the percentage of students voting correctly varied the most from class to class, producing the largest standard deviations.…

The school closures due to the ongoing worldwide COVID-19 pandemic have posed an enormous challenge for all entities that take part in our children's education. By displacing learning from schools to home environments, the crisis poses a risk of emotional and motivational problems. Based on research regarding the role of peers, learning in groups,…

This paper describes our experiences with implementing an innovative approach to decoding our discipline, which involves writing dialogue-driven stories that explore authentic, context-rich problems within introductory business statistics. Our paper begins by introducing the decoding model created by Middendorf and Pace (2004). We then explain why…

The current study tested the developmental significance of both early adolescent sleep quantity and quality for academic competence and internalizing and externalizing problems over the course of 2 years. As part of an accelerated longitudinal study, data were collected from N = 586 Czech adolescents (M[subscript age] = 12.34 years, SD = 0.89,…

This article shares two activities geared toward students in middle school that engage students in analyzing measures of center, specifically the arithmetic mean, and using transnumerative thinking with the ultimate goal of improving students' statistical literacy. Both activities support the Common Core standard, 6.SP.B.5 "Summarize and…

This research aims to find how the infrastructure of digital devices within the school and teachers' capacity using digital devices affect student achievement defined as PISA 2018 reading, math, and science scores. The ex post facto co-relational causal research design was employed. The data were obtained from the school questionnaire administered…

The development of information technology and social networks has created new opportunities to access lifelong learning in the form of informal learning. In an informal learning environment, learning takes place via Communities of Practice (CoP). The learning success factors in online CoPs are learners' similarity in learning interests and…

This study with 850 students examined the interrelations of students' own and perceived teacher reference norms in combination with estimating the relations of these constructs to self-concept in the domain of mathematics. All reference norms were positively interrelated. Regression models yielded different results across school tracks: In…

Faculty teaching data analytics at undergraduate level are often faced with the tension created by student under-preparedness, the demands of the course, and time constraints. How do faculty close this gap? In this paper, we propose the use of flow diagramming as an accessible method for interpreting regression analyses, in ways that are time…

Mathematics curricula have traditionally focused on content knowledge, often in the form of a scope and sequence of increasingly difficult mathematics. The importance of using and applying mathematics is recognised in the current Australian Curriculum Mathematics (AC: M) as 'proficiencies' that are intended to be integrated with the content. There…

Learning about probability can pose difficulties for students at all levels. Performing probability experiments using games can encourage students to develop understandings of probability grounded in real events. In this reflective paper, we explore the thinking of a group of students and teachers as they reasoned about experimental and…

This article presents a new approach to the analysis of how students answer tests and how they allocate resources in terms of time on task and revisiting previously answered questions. Previous research has shown that in high-stakes assessments, most test takers do not end the testing session early, but rather spend all of the time they were…

Analysts of discrete data often face the challenge of managing the tendency of inflation on certain values. When treated improperly, such phenomenon may lead to biased estimates and incorrect inferences. This study extends the existing literature on single-value inflated models and develops a general framework to handle variables with more than…

This article describes a suite of student-created Shiny apps for teaching statistics and a field test of their short-term effectiveness. To date, more than 50 Shiny apps and a growing collection of associated lesson plans, designed to enrich the teaching of both introductory and upper division statistics courses, have been developed. The apps are…

We draw on our experiences with mentoring two students to develop a framework for undergraduate research projects with Twitter data. Leveraging backward design principles, we share our learning objectives and rubric for summative assessments. To illustrate the value of Twitter as a data source, we detail methods for collecting and analyzing…