As the number of jobs in the science, technology, engineering, mathematics (STEM) workforce grows exponentially, there has never been a more important time to provide students with real-world learning opportunities that have 21st century implications. Measuring things that matter is a fundamental skill that formulates the backbone of many concepts…

A crucial site of bias in classrooms is class discussions. A new free web-based tool developed by university researchers can help teachers actively monitor how their biases are affecting students in real-time.

Timely identification of children with disabilities is required by federal special education law (Individuals with Disabilities Education Improvement Act, 20 U.S.C. § 1400, 2004). During COVID-19, school psychologists have been faced with the challenge of completing valid, comprehensive, and diagnostic assessments when traditional methods are not…

The COVID-19 pandemic has created an unprecedented challenge for state, district, and school leaders across the country. Whether states and districts mandate or choose an in-person or remote model or a hybrid model, which includes some aspect of virtual learning, ensuring that vulnerable students and teachers have a remote learning option has…

The need to improve outcomes among students with disabilities (SWD) by increasing teachers' skilled use of evidence-based practices (EBPs) has been a pressing challenge around the country. Texas, in particular, has a specific focus on supporting the increased use of teachers' EBPs within their State Systemic Improvement Plan (SSIP). Therefore,…

When a paraeducator accompanies students receiving special education support across settings, students are at increased risks of decreased engagement and interaction with certified teachers (Giangreco et al., 2001). When paraeducators are tasked with implementing, it is critical they be prepared to monitor students' progress accurately and…

For the last five years, the California Department of Education (CDE) has reported a steady increase in homeless K-12 students in the state. In the academic year 2018-2019, over 207,000 California K-12 students were without appropriate, consistent and stable housing. Unhoused K-12 students are disproportionately LGBTQ+, migrants, students of…

Unreliable and poor-quality data is a significant threat to governmental institutions because of its devastating impact on nations' social and economic well-being. Managers in government organizations require reliable data to inform economic planning and decision-making. Grounded in the theory of total quality management, the purpose of this…

The COVID-19 pandemic has raised a wide range of challenges for school leaders that they now (rapidly) have to address. Consequently, they also turn to informal learning networks, in order to share and collect information and reach out to their communities. In this context, the current study investigates the underlying networks structures among…

Partnership models have been effective across many areas of higher education such as involving students as teaching and learning consultants, in course design and redesign, and as co-instructors. However, there are few systems-level (i.e., entire programs or institutions) examples of partnership work and virtually none in systems-level assessment.…

Since data collection technologies has become a part of daily life, measurement and data requirements now permeate many state mathematics standards, beginning as early as kindergarten and extending through high school. For example, the Standards for Mathematical Content, recommend that kindergarteners "describe and compare measurable…

Purpose: This article examines a lesson study (LS) approach bringing teachers and university faculty together to develop a lesson in data literacy using transformative technologies, including Generative Artificial Intelligence (Gen-AI) such as ChatGPT. Design/methodology/approach: An LS team with four teachers from a private school, facilitated by…

Before developing a school- and community-wide work plan around preventing bullying and harassment, school administrators should employ data collection tools to determine their specific areas of focus. Successful bullying prevention efforts must be driven by local data and rooted in research on effective practices. These policies must undergo…

Large-group (n > 8) co-located collaboration has not been adequately studied because it demands different conceptual framings than those used to study small-group collaboration, while also posing pragmatic constraints on data collection. Working within these pragmatic constraints, we use video data to devise an indicator of the current…

This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…