A Prototype Framework for a Distributed Lifelong Learner Model

Abstract

Learning is ubiquitous and as learners change environment, it becomes necessary to collect their learning footprints across multiple systems. However, as these learning footprints are collected as logs on different systems, protected by varying privacy definitions, there exist of problem of not being able to process these logs together in a useful manner. In this work, we build on a blockchain of learning logs platform (BOLL) to construct a learner’s user model based on logs from multiple systems in a distributed method using a decentralized network. We propose a framework that can also connect a learner’s user model from multiple systems into one representative model that can answer questions about the learner’s lifelong learning. Finally, we show typical scenarios of how such lifelong learner models can be used to support teaching and learning.