Background: Traditional survey efforts to gather outcome data at scale have significant limitations, including cost, time, and respondent burden. This pilot study explored new and innovative large-scale methods of collecting and validating data from publicly available sources. Taking advantage of emerging data science techniques, we leverage…

In this chapter, we explore the obligations for individuals and institutions that emerge from the newfound insights that are enabled through learning analytics. While ethical concerns are raised through learning analytics, a misplaced trend is a "do nothing" approach as a way to assure we "do no harm." We suggest that this is a…

The purpose of this study is to examine the abstracts in 6th International Preschool Education Congress abstract book in terms of research subject, method, model, sample type, data collection tools, data analysis techniques, validity and reliability. This study is a qualitative study and was conducted using document analysis, which is one of the…

The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated specific advantages of multiple modalities versus a single modality, especially combined…

The ongoing datafication of our social reality has resulted in the emergence of new data-based business models. This development is also reflected in the education market. An increasing number of educational technology (EdTech) companies are entering the traditional education market with data-based teaching and learning solutions, and they are…

Citespace, a visualization-based analysis tool, has been used to analyze the literature data by visualizing the patterns and potential trends of a field. Previous studies show that when used for analyzing the literature in Chinese, Citespace could only conduct very basic analysis, different from its use in analyzing the literature data in English.…

Technological advances, artificial intelligence innovations, and widespread computing have all combined to necessitate a new generation of knowledge workers where data becomes a ubiquitous part of decision making (Sutton, 2006). Teaching today's students through the application of this "new" knowledge to long-established fields…

For a competitive organisation, it is important to invest in employee's education to keep their knowledge up to date and ensure continuous growth in terms of employees' competence and skills. Continuous learning is considered as one of the success factors for the organisation, since this ensures constant growth of employees' competence that…

Electronic sports (e-sports) can be defined as digital games played competitively for an audience (Hodge et al., 2017). With a global consumer base of roughly 450 million people and projected 2019 revenues of US$1.1 billion, the e-sports industry continues to grow (Pannekeet, 2019). Behind this growth is a thriving ecosystem which includes…

Typically, training in Russia for professionals includes school, university, and postgraduate education. People make their choice regarding university or job after school, and they choose jobs after university. These are very sensitive matters. Help in making the right choice is a real asset. The Russian Association of Statisticians (RASt) is an…

This knowledge brief is part of a continuing series designed to inform California education leaders about new research findings on key state policy topics. It summarizes recent findings on improving the access to, and the use of, teacher workforce data in California, and focuses on the importance of instituting a statewide teacher data system that…

This article addresses methodological issues related to the consequences of researchers' range of insider identities that emerge over the course of completing subsequent stages of qualitative migration research projects. Taking on a temporal approach to the insider status evolving over the course of field entry, data collection, data analysis, and…

Before developing a school- and community-wide work plan around preventing bullying and harassment, school administrators should employ data collection tools to determine their specific areas of focus. Successful bullying prevention efforts must be driven by local data and rooted in research on effective practices. These policies must undergo…

This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…

David Clarke's research has shifted the focus of classroom research in mathematics education from study of cultural patterns to study of patterns of participation and the learning that can result in highly complex social environments. His Complementary Accounts Methodology which informed the Learner's Perspective Study design included multi-source…