Objective: After the discontinuation of School Health Policies and Practices Study (SHPPS) in 2016, the US Centers for Disease Control and Prevention (CDC) began exploring innovative ways to gather school health information using existing surveillance systems. School Health Profiles (Profiles) is a school-based system of surveys that monitors…

There has been considerable debate around the ethical issues raised by data-driven technologies such as artificial intelligence. Ethical principles for the field have focused on the need to ensure that such technologies are used for good rather than harm, that they enshrine principles of social justice and fairness, that they protect privacy,…

Student engagement allows educational institutions to make better decisions regarding teaching methodologies, methods for evaluating the quality of education, and ways to provide timely feedback. Due to the COVID-19 pandemic, identifying cognitive student engagement in distance learning has been a challenge in higher education institutions. In…

Background: While qualitative research on intellectual disability is on the rise, researchers have frequently reported that their methods bring methodological and ethical challenges. The authors advance shadowing as an alternative method to respond to these concerns. Method: The authors draw on their experiences with shadowing on the basis of two…

While teacher education programs are required to place preservice teachers in diverse schools/classrooms, the conceptualization and measurement of diversity remains a challenge. One of the primary methods for developing teachers so that they can capably work with diverse student populations is to provide field experiences that place teacher…

This paper presents findings from interviews with US Research Integrity Officers (RIOs) on their overall responsibilities as well as perspectives on Data Management Plans (DMPs). DMPs are formal documents describing the roles and activities for managing data during and after research. DMPs are now a required research criterion by many funding…

With the proliferation of information on how to use data to inform instruction for more than two decades, district leaders, principals, and other stakeholders assume teachers know how to use the cycle of inquiry process to improve student achievement. This case study is an examination of the practice of data use in seven schools in one urban…

This article uses an anonymous 2014-15 school year dataset from the Directorate-General for Statistics of Education and Science (DGEEC) of the Portuguese Ministry of Education as a means to carry out a predictive power comparison between the classic multilinear regression model and a chosen set of machine learning algorithms. A multilinear…

The definition of table has not been introduced in Brazilian textbooks for the early years of elementary school. We see that charts and databases have been named but tables are not approached in the same way. This makes it impossible for students to differentiate between them, which may cause learning difficulties. Therefore, it is essential that…

This study assesses K-12 teachers' beliefs, contextual supports, and actual uses of student data. Results showed that teachers' beliefs, school environments, and engagement in substantive data-driven analyses are associated with their use of periodic and classroom-based data to inform their instruction and communications with instructional…

Sensor systems have the potential to make abstract science phenomena concrete for K-12 students. Internet of Things (IoT) sensor systems provide a variety of benefits for modern classrooms, creating the opportunity for global data production, orienting learners to the opportunities and drawbacks of distributed sensor and control systems, and…

Faculty teaching data analytics at undergraduate level are often faced with the tension created by student under-preparedness, the demands of the course, and time constraints. How do faculty close this gap? In this paper, we propose the use of flow diagramming as an accessible method for interpreting regression analyses, in ways that are time…

Spelling analyses can be used to investigate sources of linguistic knowledge underlying children's literacy development and may be useful in predicting later achievement. This study explored the utility of six analysis metrics in predicting the spelling achievement of school-aged children with literacy learning difficulties via post-hoc analyses…

In order to help assist all students, with or without disabilities, SUNY Corning Community College (CCC), located in the Southern Tier of New York, chose to purchase a new software embedded directly into its LMS platform, Blackboard, called Blackboard Ally. This software is designed to automatically calculate the compliance of a document, video,…

This study investigates upper secondary students' situational interest in a collaborative citizen science programme that involves genetic monitoring of freshwater fauna by analysing environmental DNA (eDNA) extracted from local pond water. The programme was attended by a sample that comprised 1879 students (M[subscript age] = 18.15, SD = 1.94)…