This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and "formae mentis" to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with…

The American College Personnel Association recognized the increased prominence of digital technologies in student affairs work, developing a technology competency area that includes foundational, intermediate, and advanced objectives for data use. However, as the role of technology use in student affairs practice rapidly changes, it is…

The Fall 2023 Enrollment Fact Book details current fall enrollment data including on- and off-campus enrollment by ethnicity, gender, residency, degree program level, and program category.

Strategy theory recognises outer general environmental mutations in the legal landscape as compelling dynamic forces of business competition. Thus, the latest EU directive on data protection constitutes an uncharted event for testing organisational adaptability. This research aims to understand the impact of GDPR and the endeavours towards the…

Capital appropriations are an important but often forgotten component of the public contribution to funding higher education. In fiscal year 2021, nearly $13 billion was appropriated for capital projects at public institutions, representing 11.6% of the total state contribution to higher education. When compared to general operating support and…

For this 15th iteration of the International Conference on Educational Data Mining (EDM 2022), the conference was held in Durham, England, with an online hybrid format for virtual participation as well. EDM is organized under the auspices of the International Educational Data Mining Society. The theme of this year's conference is Inclusion,…

Citizen science is expected to play an important role in relation to scientific literacy Vision III for students living in the future society. This study aims to identify the characteristics of extreme citizen science (ECS) and extreme citizen scientists (ECSs) and to derive key competencies of ECS?s using literature analysis from Korean and…

We describe a unique environment in which undergraduate students from various STEM and social science disciplines are trained in data provenance and reproducible methods, and then apply that knowledge to real, conditionally accepted manuscripts and associated replication packages. We describe in detail the recruitment, training, and regular…

This article presents a descriptive, critical analysis of the comparability of information concerning students, teachers, and school resources gathered by organisations within government jurisdiction, and the pitfalls for the unwary researcher using government data banks. Differences in the method of compiling information about citizens, and…

The purpose of this resource is to unpack Part B State Performance Plan/Annual Performance Report (SPP/APR) Indicator 3D to better understand how to use it to improve outcomes for children with individualized education programs (IEPs). Indicator 3D is a new subcomponent of Indicator 3 in the Office of Special Education Programs' (OSEP) FFY…

Students have many options as they leave high school and enter postsecondary education or the workforce. But during the six years that the Data Quality Campaign has reviewed report cards from all 50 states and the District of Columbia, it has been found that states have struggled to provide a robust picture of all of these options on their report…

Despite reaching global parity in enrollment, gender and wealth disparities in education continue to undermine girls' learning and opportunities in low- & middle- income countries. This data brief was created by the Population Council's GIRL Center and the Evidence for Gender and Education Resource (EGER) in collaboration with the Girls First…

Purpose: The main objective of the paper is to develop an investment model using data envelopment analysis (DEA) that provides a decision-making framework to allocate resources efficiently, such that the relative efficiency is improved within an available investment budget. Design/methodology/approach: Firstly, DEA models are used to evaluate the…

We investigated the effect of careless or insufficient effort (C/IE) responses in a study using Amazon's Mechanical Turk. A factor mixture model was used to identify latent classes based on the pattern of responses with biases and examine the effect of C/IE responses on the fit of the theoretical model.

Video data offer important insights into social processes because they enable direct observation of real-life social interaction. Though such data have become abundant and increasingly accessible, they pose challenges to scalability and measurement. Computer vision (CV), i.e., software-based automated analysis of visual material, can help address…