The Gini index is probably the most commonly used indicator to measure inequality. For continuous distributions, the Gini index can be computed using several equivalent formulations. However, this is not the case with discrete distributions, where controversy remains regarding the expression to be used to estimate the Gini index. We attempt to…

This study introduces an approach to estimate the uncertainty in bibliometric indicator values that is caused by data errors. This approach utilizes Bayesian regression models, estimated from empirical data samples, which are used to predict error-free data. Through direct Monte Carlo simulation--drawing many replicates of predicted data from the…

Self-regulated learning (SRL) theory comprises cognitive, metacognitive, and affective aspects that enable learners to autonomously manage their learning processes. This article presents a systematic literature review on the measurement of SRL in digital platforms, that compiles the 53 most relevant empirical studies published between 2015 and…

The concept of common good(s) is crucial in understanding higher education and its contributions. However, measuring global common goods in higher education has been largely overlooked. This paper proposes a framework to measure global common goods in higher education that contains five core dimensions (i.e., knowledge creation, people mobility,…

We propose an adaptive methodology for the curricular redesign based on the performance indicators of the student progression observed after a follow-up period. The feasibility of adopting the same approach should be thoroughly studied to assess its compatibility with institutions and countries that employ an academic credit system based on…

Purpose: This study aims to provide a qualitative framework for satisfactory sustainable education for international accounting students using a meta-synthetic approach. Design/methodology/approach: To determine the components and indicators of satisfactory sustainable education for international accounting students, a meta-synthesis allows for…

This research article establishes the relationship between key performance indicators and the academic and research quality performance and assessment and quality assurance of any large multidisciplinary academic and research institution or university. The indicators in terms of qualitative and quantitative are being proposed below and are…

Early warning systems (EWS) using analytical tools that have been trained against prior years' data, can reliably predict dropout risk in individual students so that educators may intervene early to help avert this from happening. Risk profiles for dropouts aren't always useful since students often do not conform to the profiles. Researchers with…

Consistent with Joint Workforce Innovation and Opportunity Act (WIOA) Final Rule requirements, the U.S. Departments of Labor and Education (the Departments) have determined it is appropriate and reasonable in PY 2023 for the: (1) U.S. Department of Labor (DOL) to assess performance for four performance indicators under the WIOA title I core…

Simulations were conducted to establish best practice in hyperparameter optimization and accounting for clustering in Generalized Linear Mixed-Effects Model Trees (GLMM trees). Using data-driven best practices, the relationship between a 9th Grade On-Track to Graduate (9G-OTG) indicator and observed high school graduation within four years was…

This study aimed to (1) examine the current status of education quality evaluation in Guangxi's application-oriented undergraduate universities, (2) develop an evaluation indicator system for the educational quality of application-oriented undergraduate colleges in Guangxi, and (3) examine the feasibility and adaptability of the evaluation…

Public schools follow school improvement guidelines to improve outcomes for students. This study utilized a quantitative method with a correlational design to discern any relationship between the NCStar School Improvement Program Indicators and student proficiency scores. The population for the study was 636 public high schools implementing the…

Purpose: Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome. Learning analytics and educational data mining provide a set of techniques that can be conveniently applied to extensive data collected as part of the evaluation…

Higher education institutions (HEIs) are encountering numerous challenges in today's era of globalization and internationalization. Among these challenges, digital transformation stands out as one of the most demanding, as it involves using ICT to transform business processes. The successful implementation of such systems and related services…

This research aimed to: 1) investigate the components and indicators of school administration under the Office of the Basic Education Commission of Thailand according to the King's Philosophy; 2) examine the current state, desired state, and the needs of school administration under the Office of the Basic Education Commission of Thailand according…