In this article we present and discuss the importance and relevance of the inclusion of spatial data analysis as part of the undergraduate statistics curriculum. Given its usefulness and applicability across a range of disciplines, spatial data are a topic that should receive more emphasis within undergraduate statistics curricula. There exist…

This article reports a workshop from the 2021 IUBMB/ASBMB Teaching Science with Big Data conference held virtually in June 2021 where participants learned to explore and visualize large quantities of protein PBD data using Jupyter notebooks and the Python programming language. This activity instructs participants using Jupyter notebooks, Python…

The U.S. Department of Education has required educational collection and reporting. For postsecondary institutions, this requirement has evolved from the Higher Education General Information Survey (HEGIS), which was used from the 1960s to the 1980s, to the Integrated postsecondary Education Data System (IPEDS) (Aliyeva, Cody, & Low, 2018).…

In recent years we have developed a data analytics pipeline using artificial neural networks to predict prospective student matriculation for university admissions using very limited demographic data. Predictions are generated at the earliest stages of the admissions process and successfully inform recruiting and admissions staff about the…

Undergraduate degrees awarded in economics by U.S. colleges and universities were stagnant from 2009-10 through 2012-13, increased rapidly (almost 15 percent) over the two years from 2012-13 through 2014-15, but have again leveled off in 2015-16.

Addressing teacher shortages has been a persistent concern among leaders in schools, districts, state education agencies, and the federal government. This report describes an approach to identifying patterns of teacher shortages that was collaboratively developed by the Missouri Department of Elementary and Secondary Education and the Regional…

In recent years, there has been an increased effort to introduce coding and computational thinking in early childhood education. In accordance with the international trend, programming has become an increasingly growing focus in European education. With over 9.5 million iPhone Operating System (iOS) downloads, ScratchJr is the most popular freely…

Big data analysis involves the examination of large sets of data in order to uncover patterns and trends. Within the social studies or history classroom, such analyses can be effective for gaining insights into historical trends over time or across geographical regions. For instance, using simple technology tools, students can perform word…

The pace of retail evolution has increased dramatically, with the spread of the Internet and as consumers have become more empowered by mobile phones and smart devices. This article outlines significant retail innovations that reveal how retailers and retailing have evolved in the past several decades. In the same spirit, the authors discuss how…

How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…

The National Assessment of Educational Progress (NAEP) is the only continuing and nationally representative measure of trends in academic achievement of U.S. elementary and secondary school students in various subjects. For more than four decades, NAEP assessments have been conducted periodically in reading, mathematics, science, writing, U.S.…

Since 1973, the National Assessment of Educational Progress (NAEP) has gathered information about student achievement in mathematics. Results of these periodic assessments, produced in print and web-based formats, provide valuable information to a wide variety of audiences. They inform citizens about the nature of students' comprehension of the…

This article introduces the "Data First" approach and shows how the observation and analysis of scientific data can be used as a scaffold to build conceptual understanding in chemistry through inductive reasoning. The "Data First" approach emulates the scientific process by changing the order by which we introduce data. Rather…

Schools and school districts are data-rich environments, with heaps of data on student demographics, achievement, outcomes, and perceptions. With so much data available, it can be easy to get caught up in the sheer enormity of the data sets. A cohesive data analysis and decision-making process can help schools, districts, and additional…

Schools and school districts are data-rich environments, with heaps of data on student demographics, achievement, outcomes, and perceptions. With so much data available, it can be easy to get caught up in the sheer enormity of the data sets. A cohesive data analysis and decision-making process can help schools, districts, and additional…