In response to the evolving needs of knowledge synthesis, this manuscript introduces the concept of narrative reanalysis, a method that refines data from initial reviews, such as systematic and reviews, to focus on specific sub-phenomena. Unlike traditional narrative reviews, which lack the methodological rigor of systematic reviews and are…

Unnoticed by most, some technology corporations have changed their terms of service to allow user data to be transferred to clouds and even to be used to train artificial intelligence systems. As a result of these developments, remote data collection may in many cases become impossible to be conducted anonymously. Researchers need to react by…

Measuring opportunities to learn (OTL) is crucial for evaluating education quality and equity, but obtaining accurate and comprehensive OTL data at a large scale remains challenging. We attempt to address this issue by investigating measurement concerns in data collection and sampling. With the primary goal of estimating group-level OTLs for large…

Purpose: The lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size,…

Family income questions in general purpose surveys are usually collected with either a single-question summary design or a multiple-question disaggregation design. It is unclear how estimates from the two approaches agree with each other. The current paper takes advantage of a large-scale survey that has collected family income with both methods.…

The authors present a plan for classroom teachers and literacy professionals to conduct case studies, particularly of students' reading motivations and engagement. The authors argue for case study as a way for practitioners to contribute important knowledge to the field that is grounded in practitioners' deep, contextual understanding of the…

Data Analytics has become an essential part of the Internet of Things (IoT), mainly text analytics-related applications, since they can be utilized to benefit educational institutions, consumers, and enterprises. Text Analytics is excessively used in Smart Education after the emerging technologies such as personal computers, tablets, and even…

This paper describes a method to collect data of which section of pages learners were browsing in digital textbooks without eye-tracking technologies. In previous researches on digital textbook systems, it was difficult to collect such data without using eye-tackers. However, eye-trackers cost a massive budget. Our proposed system automatically…

This institutional survey research was used to improve administrative policies at International Montessori Center (IMC), a private international kindergarten in Bangkok, Thailand. The main goal of the study was to gather input from school stakeholders regarding daily conditions and functions, with the ultimate goal of improved administrative…

This paper is a reflective account of using narrative inquiry and relational ethics as part of doctoral research that explored the lived experiences and identity construction of international school teachers in Shanghai, China. Specifically, it illustrates how narrative inquiry informed the whole research process by focusing on three aspects of…

The purpose of this research is to measure the impact of data literacy on psychological empowerment in workplace for newly employed graduates. Since data play an increasingly important role in our lives, including the work environment, it incites research on whether data literacy skills, those related to collecting, processing, analyzing, and…

This research took place in a U.K. higher education institution. It was concerned with the professional learning of academic staff and examined what enables and encumbers work-based professional learning. A two-stage photovoice methodology was chosen because it presented two advantages. First, it was the best way of including participants in the…

The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…

The American College Personnel Association recognized the increased prominence of digital technologies in student affairs work, developing a technology competency area that includes foundational, intermediate, and advanced objectives for data use. However, as the role of technology use in student affairs practice rapidly changes, it is…

Data increasingly mediates how we understand the world. As such, there is growing interest in designing initiatives to help young people learn about data--not only the techno-mathematical skills necessary to work with data, but also the dispositions needed to participate in data-centric ways of knowing and doing. In this article, we argue that as…