Qualitative and mixed methods digital social research often relies on gathering and storing social media data through the use of APIs (Application Programming Interfaces). In past years this has been relatively simple, with academic developers and researchers using APIs to access data and produce visualisations and analysis of social networks and…

School counselors are tasked with many activities, including demonstrating the effectiveness of interventions they use with students. The American School Counselor Association recommends that school counselors include assessment, appraisal, and evaluation of delivery and program management in their school counseling program. Single-case research…

Even in "routine" years, the principal's attention to climate matters for wellness, and it matters for outcomes. School climate is a critical factor supporting the quality of student learning, particularly in times of stress. As a result, districts across the nation have dedicated considerable resources to tools used to assess climate,…

Understanding the nature of the "early teacher pipeline," how many and what types of individuals are pursuing a teaching credential, is critically important. Unfortunately, we conclude that the two national data collections that can be used to explore the early teacher pipeline provide an incomplete and contrasting pictures of the supply…

At state and local levels, home visiting programs may use one of several mechanisms to collect and store data from families and clients who participate in home visiting services. States that are interested in integrating home visiting data with other early childhood data must often navigate the different ways in which home visiting data are stored…

For over 5 years, The Education Trust-West's #Data4ThePeople campaign has been a statewide effort to ensure California builds a data system that is designed with achieving equity and the needs of students, parents, and families at the center. Now with school and college closures caused by COVID-19 posing a real challenge to data accessibility and…

More data are collected, analyzed, and stored now than at any other time in history. Data processes play a foundational role in just about every professional discipline, and data stakeholders all over the world are grappling with modernizing and optimizing data governance policies and practices. In this rapidly evolving landscape, what challenges…

Measurement systems give colleges a structure for collecting, sharing, and acting on data. The guidebook and tools presented here help faculty, staff, college leadership, and policymakers understand and use measurement systems--and specifically use data to improve completion rates, close institutional performance gaps, and facilitate economic…

Background: New technology and increased collaboration have revolutionized how scientists work with data. This creates a need to identify new aspects of working with scientific data that are important for K-12 students to learn. Purpose: To address this need, we conducted a study with practicing scientists and K-12 science teachers. The purpose of…

Job advertisements provide accessible and practical data to explore labour market dynamics and recruitment trends. This paper presents a scoping review of empirical studies using teacher or teacher educator job advertisements as primary data. Particularly, this review will provide a structured overview of the methodology and objectives of the…

Technology continues to change and improve the marketing profession. Marketing research technologies such as eye-tracking and facial expression analysis allow marketers to gain more insights into consumer behaviors. Recently, these technologies have become more affordable and applicable in the classroom learning environment. A very recent addition…

The study explored the social perceptions of young children's use of smart devices in South Korea using big data methodologies. Big data methodologies allowed to uncover underlying thoughts and feelings about young children's use of smart devices that had not been discovered in existing studies. The study extracted raw data from three different…

Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each…

Video clickstream behaviors such as pause, forward, and backward offer great potential for educational data mining and learning analytics since students exhibit a significant amount of these behaviors in online courses. The purpose of this study is to investigate the predictive relationship between video clickstream behaviors and students' test…

The purpose of this article is to illustrate the dynamic process involved in developing and utilizing a theoretical model in a mixed methods study. Specifically, I illustrate how the theoretical model can serve as the starting point in framing the study, as a lens for guiding the data collection and analysis, and as the end point in explaining the…