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…

Research data services--support offerings which enable and improve data-intensive research--have garnered sustained attention from library research support service providers for nearly two decades. Libraries have played a leading role in developing research data services, and on most university campuses they provide the largest and most diverse…

This paper provides a comprehensive overview of the research on the application of artificial intelligence (AI) in primary education to explore its potential to enhance teaching and learning processes. Through a systematic review of the relevant literature, this study identifies key areas in which AI can significantly impact primary education and…

Under the background of educational informatization, data-driven teaching decision-making has become a key means to improve the quality of education, but there are some shortcomings in the use of data in college English teaching decision-making. This study constructs an evaluation system of college English teaching decision-making ability,…

State education agencies are sitting on rich repositories of quantitative and qualitative assessment data. This document is designed to provide a conceptual framework and implementation guidance that can help agency leadership leverage and interrogate student performance data in systematic ways for reporting, outreach, and planning purposes. The…

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…

Today's firms are inundated with a huge volume of data and face requirements to use this data to gain and maintain competitive advantage. In this teaching brief, we address the confirmed analytic skills gap by providing context-relevant learning experiences to business students. Specifically, a marketing analytics project development model is…

In order to study the manifestation of data sense and identify ways of thinking about variability in authentically realistic problems in a group of Chilean fifth-grade students, a lesson plan was designed and implemented, within the framework of statistical literacy and using the "lesson study" modality, in which students were urged to…

Promoting understanding of the epistemologies of science has long been the primary objective in science education, and can be viewed as a form of science learning outcome. Many studies have attempted to understand learners' conceptions of epistemology in science from various perspectives and methods; however, no recent reviews have focused on the…

Student learning benefits from individual support and feedback. This type of support does not scale well especially in large classes. A system was built to automate the delivery of individual support and feedback on Excel assignments in information systems and analytics courses. The system embeds instructional scaffolding in the distributed…