Mario Manso Vazquez

Distributed Personal Learning Environments Towards a suitable architecture

Personal Learning Environment is a reference to future learning. In this paper we present a multi-level analysis of the options and requirements in the universe of PLE, analyzing the content management system as the main tool of the learning environment. There are two principal models: distributed applications and mashups. Both have advantages and disadvantages, and they also share a big issue: lack of inter-application communication. We are trying to find a solution to this problem presenting an architecture for distributed applications model, so that transparency to the uses will be maintained.

Design of the monitoring system of a learning organizer

Self-regulated learning is an active field of research in pedagogy. Self-regulation techniques are being tested at several educational levels, including university degrees. One of the main problems found by the educators is that they need to monitor all their students constantly and thoroughly. This cannot be done properly if the number of students is not small, which happens specially at university levels. They need tools to address this problem and to be able to monitor their learning progress. We are developing a tool for self-regulated learners, to provide them support for their learning process using embedded learning strategies and tools to enable planning, monitoring and evaluation of their own learning process. Its functionalities have been extended in order to enable both the educators and the learners to monitor in depth their learning progress in order to improve their self-regulation skills. In this paper we present the monitoring system designed for this tool.

Development of a xAPI application profile for self-regulated learning requirements for capturing SRL related data

In this paper we present an analysis of xAPI from the self-regulated learning needs point of view, focusing on how we can record all the actions derived from the implementation of self-regulated learning strategies. There are several questions unanswered: Which information could generate each strategy? How do we record this information using xAPI? Is the vocabulary and statements of xAPI appropriate or should be extended? Here we try to answer these questions, which may lead us towards the development of a xAPI application profile for SRL.

A metacognitive learning organizer to introduce learning strategies for PLE users and SRL students

Personal Learning Environment is a concept that is in line with Self-Regulated Learning. Building and using a PLE is a challenging task that requires students to have developed their metacognitive skills. In Self-Regulated Learning and lifelong learning, typical PLE scenarios, there is no guidance or tutoring. There is a need of helping the students to develop these skills, to learn how to manage time and how to evaluate their learning process in order to improve it. We propose the creation of an organizer with support for the development of metacognitive skills to help users meeting their learning goals.