While citizen science and other participatory approaches to science are increasingly used in schools to promote student science learning, rarely are these students supported to collect, analyze, and share their data with meaningful outside audiences. In this study, we used a Design-Based Research approach to iteratively develop and examine an…

Seventy-five out of 82 Indian universities offering data journalism were studied using Lewis's typology, with slight modifications for the Indian setting. Most syllabi remain theory-heavy, with little practical instruction and no engagement with deeper issues like epistemological shifts. Around 60% of the programs were introduced post-COVID,…

The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…

Purpose: In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches - media…

This study explores the extent to which college context (two- vs. four-year), gender, and race/ethnicity correlated with worsening course outcomes during emergency remote teaching during the COVID-19 pandemic, by comparing outcomes within students between the fall 2019 pre-pandemic and spring 2020 pandemic terms. In particular, it explores the…

The paper delves into social media mining in the context of medical education programs in the information age. It explores the adaptability of Social Media Analytics (SMA) apps within the structure of online courses in medicine and proposes a conceptual framework for a learning process. This process includes practical exercises based on search and…

In response to the heavy demand for business analysts in various industries, many universities have developed business analyticsrelated courses and programs, which aim to develop a competent labor force that can help companies make sense of business data and generate sustainable competitive advantages. Ensuring high levels of student success in…

We consider Bayesian estimation of a hierarchical linear model (HLM) from small sample sizes. The continuous response Y and covariates C are partially observed and assumed missing at random. With C having linear effects, the HLM may be efficiently estimated by available methods. When C includes cluster-level covariates having interactive or other…

Retention, persistence, and academic achievement for first-generation students have become increasingly prevalent with increasing access to higher education. Beyond access, the most discernible challenge relates to their identity as a first-generation college student and the lack of mentorship from their parents in navigating the college…

This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…

Within the eukaryotic cell, the actin cytoskeleton is a crucial structural framework that maintains cellular form, regulates cell movement and division, and facilitates the internal transportation of proteins and organelles. External cues induce alterations in the actin cytoskeleton primarily through the activation of Rho GTPases, which then bind…

We contribute to the higher education returns discourse by examining perceptions among college graduates. Using 2021 U.S. Survey of Household Economics of Decisionmaking data, we observe that over 80% of degree holders perceive that they received positive financial returns from college, while only 7% of college degree holders regret their decision…

As part of a study investigating research productivity of sociology PhD students in Australia, an application to the federal government's Department of Education, Skills and Employment (DESE) aimed to establish a baseline count of completed sociology doctorates by university. It was anticipated that university totals might be different from PhD…

Classroom sensing systems can capture data on teacher-student behaviours and interactions at a scale far greater than human observers can. These data, translated to multi-modal analytics, can provide meaningful insights to educational stakeholders. However, complex data can be difficult to make sense of. In addition, analyses done on these data…

We examined how Learning Analytics literature represents participants from diverse societies by comparing the studies published with samples from WEIRD (Western, Industrialized, Rich, Democratic) nations versus non-WEIRD nations. By analyzing the Learning Analytics studies published during 2015-2019 (N = 360), we found that most of the studies…