In inclusive education, students with different needs learn in the same context. With the advancement of artificial intelligence (AI) technologies, it is expected that they will contribute further to an inclusive learning environment that meets the individual needs of diverse learners. However, in Japan, we did not find any studies exploring…

The Forum Guide to Data Quality provides best practices from districts and states for maintaining quality data as these agencies regularly review and revise their methods for working with data, as well as their expectations for all staff who are responsible for education data and their quality. This resource is intended to help districts and…

We present a historical case study of "data-driven" general education policy reform at the City University of New York, where within-system transfer issues prompted the need for curricular reform that was debated and eventually implemented from 2011 to 2017. Through an empirical examination of artifacts such as meeting minutes, internal…

Businesses assess public sentiment toward relevant topics and gain valuable insights through social media analytics (SMA). Students of business information analytics can therefore reap multiple benefits from SMA as a learning tool. We designed and implemented an SMA capstone project that integrated undergraduate research and community engagement.…

This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…

This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…

There has been extensive work within chemistry education research to characterize organic chemistry students' engagement in key science practices like "constructing explanations" and "engaging in argument from evidence". Less has been done to consider how organic chemistry students interact with empirical data, outside of…

Secondary data analyses occur when new analyses are proposed for existing data. Although they are prevalent in special education research, there is little guidance on how to prepare secondary data analyses studies. Preregistration of secondary data analyses studies provides a nice opportunity and structure for fellow researchers to share…

Emmet County faces a dearth of affordable, quality child care options, with available child care having steadily declined over the past five years. In Michigan, there are about four children under age 12 for every available child care spot. The areas with the least child care availability are often rural and concentrated in northern Michigan, like…

Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…

Background: Data-based decision-making in education often focuses on the use of summative assessment data in order to bring about improvements in student achievement. However, many other sources of evidence are available across a wide range of indicators. There is potential for school leaders, teachers and students to use these diverse sources…

In this study, student teachers explored four data collection methods for data feedback to improve their teaching skills in Science and Technology [S&T]. The aim was to verify whether these methods were suitable for collecting data concerning their teaching skills during S&T activities in their internships. They analysed the collected data…

This article presents the findings of a systematic qualitative analysis of research in the ethics of digital trace data use in learning and education. From the resulting analysis of 77 peer-reviewed studies, we (1) map the characteristics of research by study type, academic community, institutional setting, and national context; (2) identify the…

In light of the replication crisis in psychology, null-hypothesis significance testing (NHST) and "p"-values have been heavily criticized and various alternatives have been proposed, ranging from slight modifications of the current paradigm to banning "p"-values from journals. Since the physics education research community…

As marketing continues to be transformed by technology and the explosion of big data, academic research has identified a significant need for analytics skills in marketing education. However, it is unclear whether current curriculum approaches to marketing analytics equip students with the skills employers need and prepare them effectively for…