Distance Learning has enabled educational practices based on digital platforms, generating massive amounts of data. Several initiatives use this data to identify dropout contexts, mainly providing teacher support about student behavior. Approaches such as Active Methodologies are known as having good potential to involve and motivate students.…

This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…

Massive open online courses (MOOCs) are being used across the world to provide millions of learners with access to education. Many who begin these courses complete them successfully, or to their own satisfaction, but the high numbers who do not finish remain a subject of concern. In 2013, a team from Stanford University analyzed engagement…

Our project is motivated by the early dropout and low completion rate problem in MOOCs. We have extended traditional features for MOOC analysis with richer and higher granularity information to make more accurate predictions of dropout and performance. The results show that finer-grained temporal information increases the predictive power in the…

This paper aims to provide the reader with a comprehensive background for understanding current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its impact on adaptive learning. It constitutes an overview of empirical evidence behind key objectives of the potential adoption of LA/EDM in generic educational strategic…

The methods and models for categorical data analysis cover considerable ground, ranging from regression-type models for binary and binomial data, count data, to ordered and unordered polytomous variables, as well as regression models that mix qualitative and continuous data. This article focuses on methods for binary or binomial data, which are…

Learning analytics has been as used a tool to improve the learning process mainly at the micro-level (courses and activities). However, another of the key promises of learning analytics research is to create tools that could help educational institutions at the meso- and macro-level to gain better insight into the inner workings of their programs…

An underlying theme of this paper is that it can be easier and more efficient to conduct valid and effective research studies in online environments than in traditional classrooms. Taking advantage of the "big data" available in an online university, we conducted a study in which a massive online database was used to predict student…

Ever since achieving a high school credential by passing the GED[R] test became widely institutionalized through adult education programs in the United States, outcomes for GED test credential recipients have continued to be of great interest to the adult education community and the general public. Very few studies of GED test credential…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

Presents a summary overview of 20 school dropouts and their families, with emphasis on the features of family background. Topics discussed include environmental and social class influences, career aspirations, unemployment, and role expectations. (Author/DB)

Does school integration in a city lead to massive "white flight"? Examines the findings of demographer Reynolds Farley, a professor at the University of Michigan, who states that cities which maintain segregated schools have lost white students at about the same rate as cities undergoing school integration. (Editor/RK)

This is the second annual report on public school dropouts in Delaware. The purpose of the report is to provide an accurate statistical description of school dropouts to dispel any stereotypes that might hinder development of programs to aid dropouts. The data presented was compiled from monthly reports submitted by local school districts to the…

Having data available is so important because it can improve upon our personal perceptions. Admittedly, statistics can sometimes be skewed to tell whatever story their handlers want them to tell, but by and large, high-quality data allow us to step back from personal perceptions and embark on an analysis with an eye toward identifying the root…