Today, modern educational models are concerned with the development of the teacher-student experience and the potential opportunities it presents. User-centric analyses are useful both in terms of the socio-technical perspective on data usage within the educational domain and the positive impact that data-driven methods have. Moreover, the use of…

Described here is a well established opensource geophysics project to monitor atmospheric infrasound 24/7. It employs a modern digital, I[superscript 2]C enabled differential pressure sensor--unlike the older analog devices more commonly used. Python software automatically uploads plots whilst data is stored in standard ".mseed" format…

This article presents an experiential model for community-engaged research that understands communities as living meshworks of embodied human beings, material circumstances, and affective environments. We first trace how community organizations and academics must increasingly respond to a push for hard data. Using an analysis of a national…

The Science of Learning and Readiness (SoLaR) project seeks to demonstrate to Defense and other Government stakeholders the "art of the possible" for high-quality distributed learning and to create a practical guide for how to infuse such qualities into the broader Department of Defense (DoD) distributed learning ecosystem. This report…

The population of English learners (ELs) in K-12 schools continues to grow. Between the 2009-10 and 2014-15 school years, the percentage of English learners increased in over half of the states, and in 2017, English learners made up 10.1% of the total student population. Research suggests that in their transition to English, non-native speakers…

One lasting legacy of the COVID-19 pandemic may be more students attending online classes at both traditional and fully online colleges. The efficacy of online education remains unproven, especially for students with academic or other challenges. And yet, both students and policymakers lack the data they need to assess whether online classes are…

We introduce DeepPerfEmb, or DPE, a new deep-learning model that captures dense representations of students' online behaviour and meta-data about students and educational content. The model uses these representations to predict student performance. We evaluate DPE on standard datasets from the literature, showing superior performance to the…

Purpose: This report highlights ways in which race-based data can be used to combat systemic racism in matters relating to academic and non-academic and student misconduct. Methods: Information synthesis of available information relating to race-based data and student conduct. Results: A summary and synthesis of how and why race-based data can be…

In March 2020, the coronavirus pandemic and attending shift to remote schooling initiated a dramatic impact on student learning, an impact that state and district leaders feel a sense of urgency to understand and address. These leaders are accustomed using state and district test data to shed light on student achievement and growth. But without…

As the education and workforce development community looks more and more to CTE to help ensure students are both college and career ready, understanding and using CTE data and research becomes increasingly important. This is the first in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE)…

Purpose: This paper aims to provides a brief review of the dashboard literature, an account of the development of performance dashboards for field data collection at Westat, and more specifically for the first cycle of the Programme for the International Assessment of Adult Competencies (PIAAC). A brief concluding section offers suggestions for…

A new app, freely available for Windows computers, has been developed to simulate tuning of an inductively coupled plasma mass spectrometer, on the basis of optimization data collected using a sector-field instrument. The app allows students to adjust parameters, including the torch position, gas flows, radio-frequency power, and guard-electrode…

This article presents the use of the qualitative research method and the challenges that this form of research imposes along with the increasingly systematic reluctance experienced by doctoral students and their chairs. Increasingly, doctoral students are opting for the qualitative approach over that of the traditional quantitative methodology.…

Learning Analytics (LA) is an emerging field in which sophisticated analytic tools are used to improve learning and education. It draws from, and is closely tied to, a series of other fields of study like business intelligence, web analytics, academic analytics, educational data mining, and action analytics. The main objective of this research…

Objective: Our objectives were to measure reporting differences between sexual behavior data from daily diary and retrospective estimates and to assess the utility of using smartphones to collect sexual behavior data from a college student population. Participants: Eighty-six participants (68 women, 18 men) completed the study. Methods: For…