Early prediction systems of student performance can be very useful to guide student
learning. For a prediction model to be really useful as an effective aid for learning, it must …

Effective teaching of teamwork skills in local and globally distributed Software Engineering
(SE) teams is recognized as an important part of the education of current and future software …

The volume and quality of data, but also their relevance, are crucial when performing data
analysis. In this paper, a study of the influence of different types of data is presented …

Presently, technological developments within the academic and online education sectors
have enabled mobile data‐based interactive strategies to impact transformative learning …

Educational data mining has been widely used to predict student performance and establish
intervention strategies to improve that performance. Most studies have implemented …

Technology is transforming how we solve complex problems, as well as how we share
information. In this chapter, we look at an innovative learning environment from the …

This work in progress paper describes software that enables online machine learning
experiments in an undergraduate DSP course. This software operates in HTML5 and …

Given the time limit, software engineering courses in universities can only emphasize a
particular development approach or method; therefore, it is challenging to prepare …

In the recent years, big data and learning analytics have been emerging as fast-growing
research fields. The application of these emerging research areas is gradually addressing …

In any learning environment, training activities are the basis for learning. Students need to
practice to develop new skills and improve previously acquired abilities. Each student has …