Miguel Sánchez-Santillán

University of Oviedo | UNIOVI · School of Computer Science Engineering

The use of the Internet has been progressively integrated into our daily lives. This has also been true for all levels of education, where virtual learning environments have been the means by which teachers, students and educational institutions managed and distributed educational experiences. However, the present design of these systems cause stud...

The use of learning management systems (LMSs) has grown exponentially in recent years, which has had a strong effect on educational research. An LMS stores all students' activities and interactions in files and databases at a very low level of granularity. Data mining (DM) techniques are applied successfully in many areas, such as business marketin...

In general, research confirms that learning is more effective when students obtain feedback regarding their learning progress. Currently, new versions of e-learning platforms include indicators that provide some static feedback mechanisms and help both learners and educators in planning their learning strategies. This paper explains the usage of in...

Introduction: Research about student performance has traditionally considered academic procrastination as a behavior that has negative effects on academic achievement. Although there is much evidence for this in class-based environments, there is a lack of research on Computer-Based Learning Environments (CBLEs). Therefore, the purpose of this stud...

Formative feedback is one of the most recognized types of feedback in academics. However, for feedback to be effective it must be task‐specific, immediate, corrective and positive. At present, automatic feedback is far from these characteristics and leaves the instructor as a fundamental agent in the teaching‐learning process of programming. Faced...

The aim of this study was to predict university students’ learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 students from different multimodal sources: learning strategies from system logs, emotions from videos of facial expressions, alloca...

Mobile technologies used for education may offer advantages for children with Communication Disorders, among which we can find language disorders and speech disorders, which are identified in DSM-V. In this research, we have introduced two educational activities, “Matching Cards” and “Cards & Sounds”, based on the Montessori Method and which deal w...

Computer-Based Learning Environments (CBLEs) have emerged as an almost limitless source of education, challenging not only students but also education providers; teaching and learning in these virtual environments requires greater self-regulation of learning. More research is needed in order to assess how self-regulation of learning strategies can...

Recent scientific literature shows the potential of computer based learning environments as tools for teaching and learning. At the same time, some difficulties have been found when college students face learning in computer hypermedia learning contexts. Lack of experience with virtual platforms, insufficient prior knowledge about learning contents...

One of the Educational Data Mining (EDM) main aims is to predict the final student's performance, analyzing their behavior in the Learning Management Systems (LMSs). Many studies make use of different classifiers to reach this goal, using the total interaction of the students. In this work we study if it is possible to build more accurate classific...

The use of the Internet has been progressively integrated into our daily lives. This has also been true for all levels of education, where virtual learning environments have been the means by which teachers, students and educational institutions managed and distributed educational experiences. However, the present design of these systems make stude...

eGraph is a virtual tool developed with the aim of make easier to track the students' learning process in Learning Management Systems like Moodle. It is based in the log files that the learning platform records when the students are interacting with and allows teachers, students, and researchers to track the learning route that learners have follow...

In this paper, we propose to use clustering to improve educational process mining. We want to improve both the performance and comprehensibility of the models obtained. We have used data from 84 undergraduate students who followed an online course using Moodle 2.0. We propose to group students firstly starting from data about Moodle's usage summary...