According to the United States Department of Education (2012, 2016), degree completions are a vital measure of overall institution success. Significantly, declining student persistence rates and low degree completions are consistent problems in public colleges throughout the United States. Not only are diminishing retention and incomplete degrees…

Gaps, redundancies, and bottlenecks in undergraduate curricula can markedly affect faculty teaching courses and the successful preparation of students for the professional biomedical engineering workforce. Anecdotal observations from faculty of potential curriculum deficiencies, the rapidly changing landscape of biomedical engineering education,…

The present study used a sequential mixed method design to compare special education and general education elementary teachers' self-efficacy for data-driven decision making. Participants were 127 teachers from several school divisions in a mid-Atlantic state in the United States. Dunn et al.'s (2013a) "The Data-Driven Decision Making…

This case study introduces the use of the National Center for Education Statistics (NCES) publicly available data for linear regression. Our case uses an example of exploring the relationship between Advanced Placement (AP) course-taking, while in high school, on student science, technology, engineering, and mathematics grades upon enrolment to…

In 2022, the New Zealand Qualifications Authority (NZQA) identified a range of schools at which the University Entrance (UE) attainment of akonga Maori and Pacific students was at least 10% higher than their decile (now EQI) band average. In 2023, NZQA asked Rangahau Matauranga o Aotearoa NZCER to work with six of these higher UE attainment…

Technology integration into classrooms is crucial for student success. It should be implemented beyond lesson planning and organizing information. Digital tools like Mastery Connect can effectively drive data-driven instruction to close learning gaps. The TPACK Model outlines the framework for successfully integrating technology into the…

Research and evidence on education from 33 countries in Africa reflects rich diversity andunderscores the importance of tailoring solutions to the local context. Through this research, three key actions on education emerge as points of leverage for the continent: (1) Use local education data to make informed decisions that address country-specific…

Education systems are complex and involve many diverse actors. In order to have an impact on children's outcomes, policies and programmes must take on this complexity. Most education interventions are centrally designed, yet, in increasingly decentralized systems, they need to be adopted -- and often undergo adaptation -- at multiple levels of…

Educational stakeholders would be better informed if they could use their students' formative assessments results and personal background attributes to predict the conditions for achieving favorable learning outcomes, and conversely, to gain awareness of the "at-risk" signals to prevent unfavorable or worst-case scenarios from happening.…

In recent years, the geographic information system (GIS) application has used the latest spatial data to help researchers make the right decisions in the shortest time. This study was conducted with the aim of using geographic information systems (ArcGIS) for selecting the best location for installing banners and billboards in a health campaign.…

Artificial intelligence and data analysis (AIDA) are increasingly entering the field of education. Within this context, the subfield of learning analytics (LA) has, since its inception, had a strong emphasis upon ethics, with numerous checklists and frameworks proposed to ensure that student privacy is respected and potential harms avoided. Here,…

Education practice often requires teachers and other school personnel to adapt interventions over time in order to address between-student heterogeneity in response to intervention (e.g., what works for one student may not work for the other) or within-student heterogeneity (e.g., what works now may not work in the future for the same student). An…

Data sprints have emerged as a popular way to involve stakeholders in datawork. In this chapter we discuss what it takes to turn a sprint into a productive situation of inquiry (in the sense of Dewey, 1938). We argue that sprint organizers must work actively to counteract an otherwise docile setting where the preference for agreement between…

The purpose of this paper is to analyze various dimensions for measurement of human behavior. Human behaviour is complex. Behaviors, emotions, cognitions, and attitudes can rarely be described in terms of one or two variables. It is multimodal in nature. Furthermore, the traits, modalities and dimensions cannot be measured directly, but must be…

The COVID epidemic has provided an excellent example of the need to call on a wide variety of statistical tools to address a global problem, and can give students insights into some of the dimensions of data science. Here, we describe some of the characteristics of data that students encounter as citizens. We set out some teaching ideas, which…