Learning path generation involves the computation of learning trajectories to personalize academic instruction to prevent school problems. The Educational Planning Problem (EPP) considers generating personalized learning paths by scheduling activities that satisfy expected grades while minimizing plans makespan. In this work, we propose two…

Scrum is one of the most used frameworks for agile software development because of its potential improvements in productivity, quality, and client satisfaction. Academia has also focussed on teaching Scrum practices to prepare students to face common software engineering challenges and facilitate their insertion in professional contexts.…

In order to explore whether STEAM education in combination with elementary school curriculums can help students' learning performance, this study developed a digital learning system. This digital learning system combined STEAM concepts with elements of gamebased learning. This study developed the curriculum content based on the unit of…

Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…

In this article, we provide a conceptual model for the design of instructional scenarios integrating hypervideo as an instructional tool. The model provides a structural aid for making design decisions about using hypervideo in instruction. We start by introducing the theoretical rationale for hypervideo as a tool, exploiting three different…

Student models are crucial components in personalised distance learning environments. These models usually include individual characteristics such as the level of knowledge of a given topic, the learning style or the type of personality, the level of participation and so on. However, when the focus is on group activities, these learning…

Intelligent learning systems (ILSs) have evolved in the last few years basically because of influences received from multi-agent architectures (MAs). Conflict resolution among agents has been a very important problem for multi-agent systems, with specific features in the case of ILSs. The literature shows that ILSs with cognitive or pedagogical…