Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…

Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…

Objective: The prevalence of mental health symptoms on university campuses is high and rising, resulting in detrimental effects on academic performance. Few resources exist to address the needs of students who must leave school for mental health reasons. Participants: Seeking to understand the effect of a college reentry program (NITEO) to assist…

The first MOOC course on geo-informatics, 'maps and the geospatial revolution' was provided as video materials by Penn State in July 2013, since then, the number of geo-informatics MOOC courses has increased significantly (Robinson et al., 2015). This study uses the edX geo-informatics course model as the origin of the experimental results to…

We study the short-term effects of differential exposure to COVID-19 on educational outcomes in Guatemala. The government adopted a warning index to classify municipalities by cases and infection rates in 2020. Using administrative panel data for all students in Guatemala, we employ a difference-in-differences strategy that leverages municipal…

The present study extends the concept of Organisational Ethical Climate (OEC) to the school context, addressing a gap in the literature that has predominantly investigated this construct in workplace settings. We investigated how shared ethical norms within school shape students' class identification and, in turn, key educational outcomes such as…

Apparently, the 'overwhelming' and abrupt changes and transformation that is on-going in teaching and learning at the higher education institutions (HEIs) due to COVID-19. Some learners are coping well, whilst the majority are grappling with the teaching and learning challenges as presented by COVID-19. Other learners (not would not) cannot cope…

Purpose: The main purpose of this study is to identify the socioeconomic determinants of dropout from primary schools and to give policy suggestions to address the issue. Design/methodology/approach: A total of 600 dropout and enrolled respondents were selected from 60 government primary schools of district Chiniot. School heads and parents of…

The Namibian College of Open Learning (NAMCOL) conducted a dropout survey in order to determine why distance students studying with the College, drop out of the subjects they enrolled for. Information was collected from learners who dropped out of subjects they enrolled for, tutors and Head of Centres. Online and telephonic interviews were used…

Tackling early leaving from education and training (ELET) is one of the headline targets for education policy in the European Union. Although ELET rates have been decreasing in most member states, male, socially disadvantaged and immigrant students remain overrepresented in ELET figures. Moreover, students in vocational tracks and students who…

This article aims to understand the reasons and experiences which contribute to dropout among Muslims in India at the secondary school level (grades IX-XII). The focus of this article is low-income Muslim men, who have left school at the secondary level, in a predominantly Muslim neighbourhood of Jamia Nagar, Delhi. The context of this article is…

College dropout proves to be a critical problem in undergraduate programs that directly affects students and the related community, due to direct economic losses and significant social costs. This article addresses a systematic review of the literature on predictors of student dropout intention in higher education, focusing on scientific…

Digital learning, and MOOCs specifically, increasingly benefit from learning-science-based design. In this study we present the redesign process that produces a new academic version (in Hebrew and Arabic) of the successful MOOC "Learning How to Learn." During the design-based research we examined practices that implement evidence-based…

In recent years, sentiment analysis has gained popularity among researchers in various domains, including the education domain. Sentiment analysis can be applied to review the course comments in Massive Open Online Courses (MOOCs), which could enable course designers' to easily evaluate their courses. The objective of this study is to explore the…

This dissertation measures and describes the factors that impact doctoral student persistence. Using a mixed methods cases study design, I analyzed institutional student record data, survey data on caregiving responsibilities, and data from semi-structured interviews with PhD students at a STEM-focused, public research university in the American…