Every year around 1.2 million students drop out of school in the US. According to a UNICEF report enrollment in educational institutions in Lebanon dropped from 60% in 2020-2021 to 43% in 2021-2022. The National Dropout Prevention Center (NDPC) at Clemson University has identified an extensive set of risk factors organized into four domains:…

In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design and which is based on the explainable k-nearest neighbor algorithm,…

The high level of attrition and low rate of certification in Massive Open Online Courses (MOOCs) has prompted a great deal of research. Prior researchers have focused on predicting dropout based upon behavioral features such as student confusion, clickstream patterns, and social interactions. However, few studies have focused on combining student…

The dropout of students is one of the major obstacles that ruin the improvement of higher education quality. To facilitate the study of students' dropout in Moroccan universities, this paper aims to establish a clustering approach model based on machine learning algorithms to determine Moroccan universities categories. Our objective in this…

Student dropouts are complex problems in Indonesia. Some of the dropouts living in rural areas have migrated to the large cities. It contributes to the child labor growth which is already one the major problems in Indonesia. Knowledge about the meaning of school from their perspective could be helpful for policy and programs related to dropout…

The aim of this work is to provide data-driven insights regarding the factors behind dropouts in Higher Education and their impact over time. To this end, we analyzed students' data collected by a Higher Education Institute over the last 11 years and we explored how socio-economic and academic changes may have impacted student dropouts and how…

The purpose of this study was to explore factors affecting attrition of undergraduates with a strong STEM content background into the field of Education, particularly within high-need school districts. This research was conducted as part of the NSF-sponsored Robert Noyce Teacher Scholarship project collaboration between a four-year private…

In studies that generate course recommendations based on similarity, the typical enrollment data used for model training consists only of one record per student-course pair. In this study, we explore and quantify the additional signal present in course transaction data, which includes a more granular account of student administrative interactions…

The aim of this study is to conduct a situational analysis of the benefits and drawbacks of returning to face-to-face courses in the Leveling Courses of the Universidad de las Fuerzas Armadas ESPE Sede Latacunga during the post-COVID-19 era. This will be done by comparing the virtual study mode in 2022 to the face-to-face mode in 2023. The results…

Technological devices help extending a person's sensory experience of the environment. From sensors to cameras, devices currently use embedded systems that can be used for the main goal they were designed but they can also be used for other objectives without additional costs of material or service subscription. Emotional assessment is a useful…

A significant amount of research has gone into predicting student performance and many studies have been conducted to predict why students drop out. A variety of data including digital footprints, socio-economic data, financial data, and psychological aspects have been used to predict student performance at the test, course, or program level.…

This article provides evidence of critical factors of student retention in Language Massive Open Online Courses (LMOOCs). The study used multiple sources: tracked retention data (n=43,000), survey data in correlation with tracking data (n=400), and qualitative data (174 informants) from a survey (Friðriksdóttir, 2018, 2021a, 2021b). The data came…

Replication of machine learning experiments can be a useful tool to evaluate how both "modeling" and "experimental design" contribute to experimental results; however, existing replication efforts focus almost entirely on modeling alone. In this work, we conduct a three-part replication case study of a state-of-the-art LSTM…

High school drop-out has been a source of worry to parents, students and government for over three decades. The idea of promoting teachers whose students passed more was muted in order to reduce High School Drop-out Rate (HSDR) and this situation has long been highly abused. A 60-item validated questionnaire (constituting key predictor factors for…

MOOCs and online courses have notoriously high attrition [1]. One challenge is that it can be difficult to tell if students fail to complete because of disinterest or because of course difficulty. Utilizing a Deep Knowledge Tracing framework, we account for student engagement by including course interaction covariates. With these, we find that we…