In a lifelong learning framework, an agent acquires knowledge incrementally over consecutive learning tasks, continually building upon its experience. Recent lifelong learning algorithms have achieved nearly identical performance to batch multi-task learning methods while reducing learning time by three orders of magnitude. In this paper, we further improve the scalability of lifelong learning ...

Lifelong machine learning methods acquire knowledge over a series of consecutive tasks, continually building upon their experience. Current lifelong learning algorithms rely upon a single learning agent that has centralized access to all data. In this paper, we extend the idea of lifelong learning from a single agent to a network of multiple agents that collectively learn a series of tasks. Eac...

BACKGROUND AND PURPOSE Previous studies have reported a U-shaped relation between alcohol consumption and stroke. Those studies have been criticized for failing to distinguish between lifelong abstainers from alcohol and those who have given up drinking. METHODS We examined current and previous drinking habits of 364 cases of acute stroke and 364 community-based control subjects matched for a...

21 The article addresses key challenges for the teaching profession, and corresponding institutions, to secure a prominent role in a VET reform, which is devoted to a lifelong learning perspective. These challenges may apply to EU countries but draw on the author’s work in transition countries. The article clarifies the difficulties for vocational education and training to incorporate lifelong ...

Background and Purpose: Previous studies have reported a U-shaped relation between alcohol consumption and stroke. Those studies have been criticized for failing to distinguish between lifelong abstainers from alcohol and those who have given up drinking. Methods: We examined current and previous drinking habits of 364 cases of acute stroke and 364 community-based control subjects matched for a...

This paper deals with lifelong learning. Based on a three-year case study it provides evidence of innovations in this area. The paper aims to add to the body of work in blended learning by providing evidence of knowledge, persuasion, decision, implementation, and confirmation of learning innovations. In particular, the paper provides guidance for future development.

A significant advance in inductive modelling are systems that retain learned knowledge and selectively transfer portions of that knowledge as a source of inductive bias. We define such to be machine lifelong learning (ML3) systems. This paper makes an initial effort at specifying the scope of ML3 systems and their functional requirements.

Collaborative learning has proven to be a successful method in traditional classroom settings. Computersupported collaborative learning (CSCL) is regarded a new paradigm in educational technology. Nevertheless, in the context of infrastructures for lifelong learning little attention is paid to collaboration. In this paper we provide an analysis of lifelong learning with respect to collaborative...

Educational technology is seen as key for lifelong learning, but it has yet to live up to expectation. We argue that current learning environments are typically oriented too much towards structured learning to meet the needs of the lifelong learner. Environments for lifelong learning demand a higher degree of autonomy for the learner, must be open to eclectic sources, support soft informal lear...

Within the EU4ALL project (www.eu4all-project.eu) extensive research has been undertaken to detect the impact of legal and political frameworks on the accessibility of lifelong learning (ALL), with a clear focus on higher education in this initial phase. The introduction of appropriate technologies in educational institutions is accompanied and shaped by legal and political concepts, measures a...