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 ...

Machine learning has not yet succeeded in the design of robust learning algorithms that generalize well from very small datasets. In contrast, humans often generalize correctly from only a single training example, even if the number of potentially relevant features is large. To do so, they successfully exploit knowledge acquired in previous learning tasks, to bias subsequent learning. This pape...

A key goal of AI is to create lifelong learning agents that can leverage prior experience to improve performance on later tasks. In reinforcement learning problems, one way to summarize prior experience for future use is through options, which are behaviorally extended actions (subpolicies) for how to behave. Options can then be used to potentially accelerate learning in new reinforcement learn...

Of all the aspects differentiating lifelong learning from shorter-term, more specialized learning, perhaps none is more central than forgetting – or, to frame the issue more generally and technically, ”memory access speed deprioritization.” This extended abstract reviews some of the ideas involved in forgetting for lifelong learning systems, and briefly discusses the forgetting mechanisms used ...

The problem of learning multiple consecutive tasks, known as lifelong learning, is of great importance to the creation of intelligent, general-purpose, and flexible machines. In this paper, we develop a method for online multi-task learning in the lifelong learning setting. The proposed Efficient Lifelong Learning Algorithm (ELLA) maintains a sparsely shared basis for all task models, transfers...

We describe a lifelong learner modeling project that focuses on the use of written and behavioral data to detect patterns of learning over time. Related work in essay analysis and machine learning is discussed. Although primarily focused on isolated learning experiences, we argue there is promise for scaling these techniques up to the lifelong learner modeling problem.

Nowadays, the lifelong learning is a key issue in our life. Learners have their personal learning data scattered on different platforms and websites without any control on them and without any defined access duration. In this paper, we propose to explore the feasibility of Personal information manager systems in the Open Learner Model context that allows the control of personal learning data by...