When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…

The South Dakota Department of Education (DOE) collects education records from local schools and districts in accordance with federal and state laws and regulations. This policy document establishes the procedures and protocols for accessing, maintaining, disclosing, and disposing of confidential data records, including data records containing…

The purpose of this study was to understand how shared norms are developed in the early phase of multicultural team (MCT) formation. The development of shared norms is recognized as critical to MCTs' contributions to organizations, and they are a result of the cognitive adjustment of the team members in recognition of their differences (Brandl…

Amid a growing debate over the use of standardized test scores, states and districts across the country have begun using alternative measures of school quality, including surveys of students and teachers. As a result, many schools now have access to troves of diagnostic data on student and teacher perception. However, with few established…

Over the past 30 years, qualitative research has emerged as a widely accepted alternative to the quantitative paradigm for performing research in educational communications and technology. As the new paradigm has evolved, it has spawned a variety of theoretical perspectives and methodological techniques that have both increased its potential…

This article outlines Indigenous data collection as a methodology that expands a sampling frame by using tribal Indigenous cultural knowledge, such as creation stories like those of the Cocopah and Quechan nations, to address limitations found in the methodological quality of Native American survey data in currently available datasets. Indigenous…

This article proposes two innovative approaches, the one-channel learning image recognition and the three-channel learning image recognition, to convert student's course involvements into images for early warning predictive analysis. Multiple experiments with 5235 students and 576 absolute/1728 relative input variables were conducted to verify…

The relationship between student activity data and performance in the online classroom is well-documented, yet the parameters of this relationship and their implications for K-12 online schools are not yet well understood. This study examined the role of student chronotype (defined here as the time of day a student is most active in an online…

Artificial intelligence (AI) has gained both momentum and importance within society over the past several years. This article provides an opening for further discussion to the broader social and digital media research community and those interested in answering important questions related to these areas by leveraging a focused, productive…

Human resources (HR) represent the most significant investment on most of our college campuses in terms of time and financial resources. The importance of good data about the workforce begins with establishing a need for a new position. That need for data continues with recruiting, hiring, training, promoting, retaining (or not), and retiring…

Accrediting agencies for English language programs, such as the Commission on English Language Program Accreditation (CEA), require a plan in writing for monitoring and reviewing assessment practices. Nonetheless, web-search queries such as "assessing assessment," "how to assess assessment," "assessing assessment…

As the field of chemistry education moves toward greater inclusion and increased participation by underrepresented minorities, standards for investigating the differential impacts and outcomes of learning environments have to be considered. While quantitative methods may not be capable of generating the in-depth nuances of qualitative methods,…

To learn with data, students need "data" to explore. This can be deceptive--data-rich experiences typically involve much more than a straightforward science lab. Solving real problems with data means identifying authentic questions that are meaningful to students and provide a foundation for deep inquiry. Such situations often lend…

This article introduces an accessible approach to implementing unmoderated remote research in developmental science -- research in which children and families participate in studies remotely and independently, without directly interacting with researchers. Unmoderated remote research has the potential to strengthen developmental science by: (1)…

Mixed methods surveys using multilingual assistants in areas without clear pre-defined sampling units are often difficult to manage and unpredictable, thereby threatening data quality. More so when such surveys are executed in unfamiliar territories where cultural and language barriers prevent direct communication between the principal researcher…