Big Data and Learning Analytics' promise to revolutionise educational institutions, endeavours, and actions through more and better data is now compelling. Multiple, and continually updating, data sets produce a new sense of "personalised learning." A crucial attribute of the datafication, and subsequent profiling, of learner behaviour…

The Vermont Agency of Education (AOE), through funding from a 4.9 million dollar grant from the U.S. Department of Education, is in the final stages of developing and implementing a Statewide Longitudinal Data System (SLDS) to support the work of the AOE and Vermont school districts. A significant portion of the federal award supports the creation…

Purpose: Knowing the students' readiness for the fourth industrial revolution (4IR) is essential to producing competent, knowledgeable and skilled graduates who can contribute to the skilled workforce in the country. This will assist the Higher Education Institutions (HEIs) to ensure that their graduates own skill sets needed to work in the 4IR…

Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of…

In the late 1990s, an extensive consolidation of schools in rural China led to the amalgamation of numerous primary and secondary schools into urban schools or their discontinuation. The study aimed to investigate whether China's school consolidation movement has influenced the educational attainment of rural students. The data are sourced from…

We present new estimates of the internal rate of return to early childhood education. Utilizing the nationwide expansion of preschool education in Japan between 1960 and 1980, we initially assess the impact of preschool attendance on high school graduation and college enrollment for men. Subsequently, we compute the social rate of return to…

While the use of video recording as a method of data collection has helped researchers to resolve the challenge of capturing classroom interactions between teachers and students, it can be challenging for the researchers and teachers to make sense of the rich data collected. This paper describes an approach of analysing and visualising a language…

Purpose: The purpose of this study was to ascertain the relationship between EFL teachers' perception of the intended and unintended consequences of formative assessment (FA) decisions and their sense of self-efficacy and anxiety toward data-driven decision-making (DDDM). Design/methodology/approach: A correlational research design and…

Prior studies indicate that faculty often struggle with Scholarship of Teaching and Learning (SoTL) research due to limited knowledge of relevant research methodologies and data analysis techniques (Boshier, 2009; Kim et al., 2021; McKinney, 2006). Faculty developers at a teaching-intensive institution created an innovative, scaffolded model to…

As initiatives on AI education in K-12 learning contexts continues to evolve, researchers have developed curricula among other resources to promote AI across grade levels. Yet, there is a need for more effort regarding curriculum, tools, and pedagogy, as well as assessment techniques to popularize AI at the middle school level. Drawing on prior…

Given the ever-evolving role of school counselors and increasing demands placed on them in today's sociopolitical climate, proficiency in program evaluation is more important than ever as school counselors advocate for their role and for comprehensive school counseling program delivery in schools. This article presents a reexamination of the…

Background: Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre-service teachers is critical. Objectives: The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment-based teaching approach (FVPA-based…

This dissertation comprises three chapters. The first two address issues within the education system, focusing on strategies to attract and retain high-quality teachers in the public sector. The third chapter, a collaborative effort with Martin Martinez and Miguel Saldarriaga, explores the application of machine learning tools for nowcasting…

Technology has arisen as a powerful tool for enhancing student's learning and engagement in science education, particularly in the context of elementary inquiry-based science education (IBSE). This systematic review examines the use of technology in elementary IBSE over the past decade, analyzing 22 empirical studies to identify research trends,…

Dual language education is an innovative educational model available for families selecting schools through school choice. While extensive research supports the academic benefits of dual language programs (DLPs) for non-English native speakers and communities of color in the United States, enrollment often does not reflect these populations. This…