In this research, social media data from a public school district was utilized to help improve district communication during and after a crisis. Data was analyzed by utilizing the programming languages R and Python. The programming languages helped generate data that allowed this research to evaluate how the quality of crisis communication could…

Wellness, persistence, and retention in higher education have a common goal of student success. Colleges and universities explore various methods to help students succeed and continue towards degree completion. Most of the research has focused on traditional predictors (e.g., high school GPA, ACT/SAT scores) of persistence and success. There is…

Much of the mathematics that children experience in school neglect the skills increasingly needed for citizenship, particularly the power of complex data to investigate and make sense of the world. We draw on the relatively new field of data science as a multi-disciplinary approach to investigate problems through analysis of massive, non-standard,…

As a requirement of our era, digital competence and e-learning have become basic competencies. The importance of these concepts has become clearer in medical education, especially with the COVID-19 pandemic. This period also triggered the transformation in education with technology. This study aimed to examine the relationship between medical…

Agent-based models combine data and theory during both development and use of the model. As models have become increasingly data driven, it is easy to start thinking of agent-based modelling as an empirical method, akin to statistical modelling, and reduce the role of theory. We argue that both types of information are important where the past is…

Collaboration is a complex, multidimensional process; however, details of how multimodal features intersect and mediate group interactions have not been fully unpacked. Characterizing and analyzing the temporal patterns based on multimodal features is a challenging yet important work to advance our understanding of computer-supported collaborative…

Calls for increased monitoring and evaluation of education policies and practices have not, so far, included widespread and consistent assessments of the inclusiveness of education settings. Measuring inclusion in education has proven to be a challenging exercise, due not only to the complexity and different uses of the concept, but also to its…

With the advent of the big data internet era, the corresponding multimedia technology is also developing. At the same time, as an important place for students to improve their cognitive level and expand their knowledge coverage, the construction of knowledge and information in university libraries will have an important impact on the growth of…

This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…

This article compares state expenditure data to see how the operating budgets of public community colleges specifically, and public higher education institutions generally, have fared over the past 30 years. Data from the National Association of State Budget Officers (NASBO) have long tracked major state expenditure categories, including the…

This study is the first to empirically examine how school districts allocate resources in response to capital investment revenue from statewide penny sales taxes (called SAVE funds), and whether SAVE funds affect student outputs (i.e., educational achievement). We found evidence that school districts do not use SAVE funds to increase capital…

With the rise of accountability policies since the early nineties, the daily operation of English schools has profoundly changed. Through the in-depth analysis of ability grouping practices in one English secondary school, this paper aims to explore how the accountability shift and datafication impacted the practice of student grouping and…

A gap in practice at CES Elementary School (pseudonym) was the lack of data driven instructional decision making that contributed to the problem of low school scores on the State of Texas Assessments of Academic Readiness (STAAR). Low STAAR scores have negatively impacted student, teacher, and administrator retention. Unsuccessfully, data chats…

The skills gap in the accounting profession is not a new issue. More than 30 years of research and studies all point to an ever-increasing disparity between what accountants do and what the mainstream accounting curriculum teaches. Technology and businesses are changing and evolving rapidly, as are the expectations for accountants. Advances in the…

The amplification of nucleic acids is a fundamental tool utilized in various scientific disciplines, including Molecular Biology, Immunology, Microbiology, and Genetics. However, due to the time and technology required for traditional polymerase chain reaction and its derivatives, it is not always possible to include such methodologies in…