Despite the increasing interest in data analytics applications within postgraduate education research, there remains a significant gap in research dedicated to exploring mixed methods research for such investigations. This study undertook to bridge this gap by exploring the application and use of mixed methods research to examine data analytics…

OpenStax Kinetic is an innovative research infrastructure that aims to transform education and learning research in the digital age. With its access to large sample sizes, authentic learning environments, experimental control, scalability, security and privacy protection, Kinetic provides an unparalleled opportunity for researchers to study the…

Measuring race and ethnicity for administrative data sets and then analyzing these data to understand racial/ethnic disparities present many logistical and theoretical challenges. In this chapter, we conduct a synthetic review of studies on how to effectively measure race/ethnicity for administrative data purposes and then utilize these measures…

Secondary data analysis in educational research has been an established research method for many years. Yet, few publications outline the "how to" of undertaking the process. This paper presents an analysis framework suitable for undertaking secondary data analysis within the field of education. The framework is a modification and an…

Educational research is one of the many fields of knowledge that frequently use case studies as a research method, particularly when applying an interpretive approach. Based on literature reviews and a systematic analysis of current scientific literature, this paper examines the prevalence and characteristics of the case study as a methodology for…

The current study aimed to review studies on computational thinking (CT) indexed in Web of Science (WOS) and ERIC databases. A thorough search in electronic databases revealed 96 studies on computational thinking which were published between 2006 and 2016. Studies were exposed to a quantitative content analysis through using an article control…

Reviews of research in special education have a unique place in the scientific literature, with the potential to inform a broad audience about the effectiveness and acceptability of assessment and intervention strategies for a heterogeneous group of children and youth. Results from reviews are useful to school leaders, practitioners, parents,…

Staff members at Sesame Workshop asked us to conduct a meta-analysis of their proprietary evaluation research on the effects of viewing international versions of "Sesame Street." Given global crises in early childhood education, and given the wide reach of "Sesame Street," it was of considerable interest to us whether there…

In response to calls for research into effective instruction in the Earth and space sciences, and to identify directions for future research, this systematic review of the literature explores research into instructional approaches designed to facilitate conceptual change. In total, 52 studies were identified and analyzed. Analysis focused on the…

The purpose of the study is to determine tendencies in educational sciences doctoral dissertations according to divisions, research methods and desings, data collection tools, data analysis techniques, and leadership levels in Turkey. This content analysis study has been desinged with qualitative research methods. This research has been limited by…

"Methods and Procedures in PIRLS 2016" documents the development of the Progress in International Reading Literacy Study (PIRLS) assessments and questionnaires and describes the methods used in sampling, translation verification, data collection, database construction, and the construction of the achievement and context questionnaire…

Linking administrative data records for the same individuals across services and over time offers a powerful, population-wide resource for child maltreatment research that can be used to identify risk and protective factors and to examine outcomes. Multistage de-identification processes have been developed to protect privacy and maintain…

In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced…

According to the National Science Foundation (NSF; 2006), science and engineering jobs constitute a growing sector of the United States economy. The number of science and engineering degrees has lagged behind this occupational growth. In describing Wisconsin's technology profile, Winters, Strang, and Klus (2000) report that the state is nationally…

Big data sets and powerful computing capacity have transformed scholarly inquiry across many disciplines. While the impact of data-intensive research methodologies is perhaps most distinct in the natural and social sciences, the humanities have also benefited from these new analytical tools. While full-text data is necessary to study topics such…