High dropout rate exists universally in massive open online courses (MOOCs) due to the
separation of teachers and learners in space and time. Dropout prediction using the …

Air pollution is one of the world's most significant challenges. Predicting air pollution is
critical for air quality research, as it affects public health. The Air Pollution Index (API) is a …

The purpose of this study was to investigate the use of predictive video analytics in online
courses in the literature. A systematic literature review was performed based on a hybrid …

In order to analyze the non-linear and uncertain relationships among the student-related
features, curriculum-related features as well as the environment-related features, and then …

We study the problem of predicting student knowledge acquisition in online courses from
clickstream behavior. Motivated by the proliferation of eLearning lecture delivery, we …

When an electric wheelchair is operated using gaze motion, eye movements such as
checking the environment and observing objects are also incorrectly recognized as input …

Most numerical models used to forecast wave parameters are time-consuming and
computationally expensive. Currently, advanced machine learning techniques, such as …

Modeling real-world phenomena is a focus of many science and engineering efforts, such as
ecological modeling and financial forecasting, to name a few. Building an accurate model for …

With the continuous development of information technology, applying artificial intelligence in
English teaching can bring a new opportunity for course optimization, and it can also provide …

Automatic evaluation of a student's STEM learning profile to understand her persistence is of
national interest. In this paper, we propose an early “dropout” and behavior prediction model …