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,…

Equity is the consistent thread that runs through major California education policies of the last decade, which have focused on providing access and opportunity tailored to students' needs in order to reduce disparities in learning outcomes. Equity challenges, already significant prior to COVID-19, have been exacerbated by the pandemic's education…

This working paper identifies OECD countries' interests in digital innovation in education by analysing their policy papers on digital education. Many OECD countries have adopted a specific strategy on digital education, or integrated the topic in a generic strategy on digital innovation as such. The ideas that are expressed in the strategies…

In accordance with the Reports Consolidation Act of 2000, the Office of Inspector General (OIG) reports annually on the most serious management and performance challenges the Department faces. OIG's reports include a brief assessment of the Department's progress in addressing the challenges. They also identify further actions that, if properly…

Purpose: There is a need for precollege learning designs that empower youth to be epistemic agents in contexts that intersect burgeoning areas of computing, big data and social media. The purpose of this study is to explore how "sandbox" or open-inquiry data science with social media supports learning. Design/methodology/approach: This…

The prevalent paradigm for understanding what constitutes a 'good' data visualization, and what we are likely teaching business students, relates to a conventional wisdom of efficiency, clarity, transparency, and faithful representation of truth. Teaching about the ethics of visualizations seems to be largely absent from business school curricula.…

The literature linking adulthood criminality to cumulative disadvantage and early school misbehavior demonstrates that understanding the mechanisms underlying student behavior and the responses of teachers and administrators is crucial in comprehending racial/ethnic disparities in actual or perceived school misbehavior. We use data on 19,160 ninth…

This poll was conducted between April 4-8, 2024 among a sample of 2,257 Adults. The interviews were conducted online and the data were weighted to approximate a target sample of Adults based on gender, educational attainment, age, race, and region. Results based on the full survey have a measure of precision of plus or minus 2.41 percentage…

In every school, dedicated teachers strive to support their students' unique learning journeys. Imagine a classroom where potential challenges are quickly identified and met with precise interventions. Imagine a school or school district where the many potential ways to solve problems can be quickly tested, and the best solutions rapidly scaled up…

In recent decades, there has been a growing body of research that highlights local education authorities (LEA) as potential contributors to support school capacity building and result development. Despite this, there are few empirical studies that have explored what effects different strategies and policy actions from the LEAs actual have over…

Institutions of higher education are operating in an increasingly complex and competitive environment. This paper identifies contemporary challenges facing institutions of higher education worldwide and explores the potential of Big Data in addressing these challenges. The paper then outlines a number of opportunities and challenges associated…

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 growing body of research focuses on what outcomes to assess in makerspaces, and appropriate formats for capturing those outcomes (e.g. reflections, surveys, and portfolios). Linguistic analysis as a data mining technique holds promise for revealing different dimensions of learning exhibited by students in makerspaces. In this study, student…

In this study, it was aimed to develop a Likert-type scale that will allow to measure the effectiveness of data-driven decision-making in schools in a valid and reliable way. The study group of the research consists of 179 school administrators working in public primary, secondary and high schools in Kahramanmaras province in the 2019-2020…