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)…

In 2024, state legislators introduced hundreds of bills that would affect data collection, access, and use across early education, K-12, postsecondary, and the workforce. As in 2023, legislators continued to introduce and enact legislation governing cross-agency data systems. These policies are the most important step toward making statewide…

This case study is an introduction to the use of a document checklist as part of a qualitative research method of document review. Details are provided on the types of documents that can be utilized in a document review; the advantages and disadvantages of using document review as a research data collection method; description of how to design,…

This case study is aimed at postgraduate and early career researchers who wish to embark on using ethnographic techniques in educational research. The topic in question is school food and its impact upon learning. In this case, it is the social aspect which is being addressed. This research did not aim to address the nutritious element but the way…

The idea of learning analytics has become popularized within higher education, yet many educators are uncertain about what is entailed when implementing these technologies into practice. The following article serves as an overview to the field of learning analytics for faculty, educators for whom the expectations to use these technologies…

Millions of dollars and countless hours of effort have been invested by school leaders and other stakeholders worldwide seeking to increase students' enthusiasm toward science, technology, engineering, and mathematics through educational robotics competitions. The largest of these competitions is the VEX Robotics Competition (VRC). Little research…