The growth of multimedia and increasing archival of this footage by public safety agencies presents as a watershed moment in converting this footage into actionable data that can inform and improve public safety practice. However, despite the considerable volume of archival footage, there remains a profound lack of research leveraging this data.…

Community-based participant-observation purposefully combines participant-observation and community-based participatory research. While participant-observation is the core method of ethnography and foundational to cultural anthropology, community-based participatory research initially emerged from health and related applied sciences to align…

Environmental science classes often ask students to examine changes in species or their environments to determine the human impact on a particular habitat or ecosystem. It is not always practical to take students out for a field study to do this kind of analysis; instead, the scientific method and diversity analyses can be utilized while students…

During the COVID-19 pandemic, a group of health program implementors and research analysts across seven low- and middle-income countries (LMICs) alongside Boston-based collaborators convened to implement data-driven approaches for public health response. An intensive statistics and data science training short course was developed to ensure that…

Historically, undergraduate anatomy and physiology (A&P) has been a challenging course for incorporating conceptual learning techniques due to large class sizes and an emphasis on content and terminology. The project utilized the Predict-Observe-Explain (POE) strategy to create short activities based on real-world scenarios that incorporated…

Digital sensors allow people to collect a large quantity of data in chemistry experiments. Using infrared thermography as an example, we show that this kind of data, in conjunction with videos that stream the chemical phenomena under observation from a vantage point, can be used to construct digital twins of experiments to support science…

Implicit bias is an issue that all instructors must face in their classrooms; this article describes an academic development method to help instructors address it. The method centres on EQUIP (https://www.equip.ninja), a free, web-based application for performing classroom observations that provides data disaggregated by social markers.…

The constructs that currently animate today's dispositions movement are grit and growth mindset. However, the evidence for the reliability and instructional uses of such noncognitive factors in K-12 schools--and of the surveys and tools that attempt to measure them--is thin. After a look at the "logic of assessment" with its focus on…

Learning to teach students with disabilities is challenging. Preservice special educators must develop critical knowledge of content as well as skill for enacting evidence-based practices effectively. Preservice special educators need increased opportunities to learn core knowledge coupled with a mechanism to support them in situating their newly…

When Okema Owens Simpson, the sixth-grade Multi-Classroom Leader (MCL) for English language arts (ELA) at Ranson IB Middle School in Charlotte, North Carolina, plans her schedule for the coming week, she provides what her teachers need most: daily, on-the-job coaching; lesson planning; practice in delivering lessons; co-teaching or modeling a…

Beginning researchers get an overview of qualitative research through a concise look at the practice of conducting research and the theory and debates that keep qualitative inquiry vibrant. Ideal for introducing the novice researcher to the theory and practice of qualitative research, this text opens students to the diverse possibilities within…

The Domain Five Observation Instrument (DFOI) is a competency-based observation instrument recommended for sport leaders or researchers who wish to evaluate coaches' instructional behaviors. The DFOI includes 10 behavior categories and four timed categories that encompass 34 observable instructional benchmarks outlined in domain five of the…

In this article the authors describe an instructional unit designed and taught in two classes of kindergarten children. The goals of the unit were to present a "driving question" to motivate the process of statistical investigation, to genuinely engage children in the stages of statistical investigation, and to facilitate them in…

Data and data analysis are central to science and the complex world in which people live. Students need to practice working with data--addressed in the "Next Generation Science Standards" (NGSS Lead States 2013)--starting with small, self-collected data sets and moving on to larger, remotely collected data assemblages. Small data sets…

Learning analytics is an emerging discipline and, as such, benefits from new tools and methodological approaches. This work reviews and summarizes our workshop on microgenetic data analysis techniques using R, held at the second annual Learning Analytics Summer Institute in Cambridge, Massachusetts, on 30 June 2014. Specifically, this paper…