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.

The objective of this research is to explore the expectations adult learners who participate in Lifelong Learning programs provided by Centers for Education and (KEDIVIM) Greece. was implemented using a qualitative approach, with participation 20 attended or had completed educational during period; data were collected through interviews. explored regarding outcomes program, learning process, ed...

This paper presents the design and application of a major individual assessment task created in part to develop students’ capacity for lifelong assessment, a key element of lifelong learning. Additionally the task contributes to fostering a sense of community in asynchronous online learning environments. The task is a supra disciplinary report, recently trialled and now adopted for two postgrad...

Transfer learning has received a lot of attention in the machine learning community over the last years, and several effective algorithms have been developed. However, relatively little is known about their theoretical properties, especially in the setting of lifelong learning, where the goal is to transfer information to tasks for which no data have been observed so far. In this work we study ...

Background This paper explores the relationship between changes in governing in contemporary social orders and the significance of lifelong learning for this. Drawing on Foucault’s notions of governmentality and technologies of the self, and concepts derived from actor-network theory, it argues that discourses of lifelong learning act as intellectual technologies through which there is the atte...