Purpose: The aim of this article was to introduce an important tool, cross-recurrence analysis, to speech production applications by showing how it can be adapted to evaluate the similarity of multivariate patterns of articulatory motion. The method differs from classical applications of cross-recurrence analysis because no phase space…

In this activity, students are given the opportunity to combine skills in math and geometry for a biology lesson in the cell cycle. Students utilize the data they collect and analyze from an online onion-root-tip activity to create a paper-plate time clock representing a 24-hour cell cycle. By dividing the paper plate into appropriate phases of…

Every time shoppers make a purchase at a store or browse a Web site, customer behavior is tracked, analyzed, and perhaps shared with other businesses. Target Corporation is a leader in analyzing vast amounts of data to identify buying patterns, improve customer satisfaction, predict future trends, select promotional strategies, and increase…

Performance prediction is a leading topic in learning analytics research due to its potential to impact all tiers of education. This study proposes a novel predictive modeling method to address the research gaps in existing performance prediction research. The gaps addressed include: the lack of existing research focus on performance prediction…

The combination of two technological tools, Microsoft Excel and ArcGIS, has proved powerful in organizing, categorizing, and expressing data visually in meaningful ways. The use of Geographic Information Systems (GIS) has found its way into historical research due to its interdisciplinary nature and usefulness. The goal of this paper is not to…

This chapter describes a small-scale pilot study in which participants in the experimental group learned how to write Japanese kanji characters within an immersive Virtual Reality (VR) graffiti simulator (the Kingspray Graffiti Simulator on the Oculus Rift VR system). In comparing the experimental group to the non-VR control group in the context…

Students' interactions with online tools can provide us with insights into their study and work habits. Prior research has shown that these habits, even as simple as the number of actions or the time spent on online platforms can distinguish between the higher performing students and low-performers. These habits are also often used to predict…

The Education 2030 Agenda calls for robust monitoring, reporting, and evaluating indicators from Early Childhood Education (ECE) to adult education. The new agenda demands clear indicators and measurement to generate evidence-based international discourses and advocacy. Ensuring availability of education data and statistics for evidence based…

Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

The academic achievement gap is a persistent and pernicious educational challenge confounded with race and socioeconomic status. The achievement gap persists despite over three decades of interventions and federal, state, and local policies and initiatives meant to close it. We examine the achievement gap in one of the most diverse states in the…

The main challenges commonly associated with acquiring practical network engineering skills are the requirements for access to specialised and up-to-date network equipment, as well as the high costs associated with obtaining and maintaining this equipment. The PT Anywhere initiative addresses these challenges by offering a mobile environment for…

The Multistate Longitudinal Data Exchange (MLDE) facilitates data sharing between states from K-12 education, higher education, and labor agencies. Its goal is to provide practitioners, policymakers, and researchers with a comprehensive data source to understand educational and career trajectories, including how these trajectories can cross state…

The Bureau of Prisons (BOP) is responsible for managing the care and custody of approximately 175,000 federal inmates--an estimated 20 percent of whom have been diagnosed with a substance use disorder. The Government Accountability Office (GAO) was asked to review BOP's efforts to provide drug treatment to federal inmates. This report (1)…

Every 2 years, Education requires nearly all school districts to report incidents of restraint and seclusion. Generally, restraint is restricting a student's ability to move, and seclusion is confining them alone in a space they cannot leave. The House Committee on Appropriations' explanatory statement accompanying the Consolidated Appropriations…