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Planning for Ubiquitous Learning in PLAN

Authors:
Timothy Arndt

Keywords: ubiquitous learning; e-learning; personalized learning; recommendation systems.

Abstract:
Abstract— The rise of e-Learning as a primary platform for higher education promises to open up higher education to a wider range of learners than ever before. In order to best cater to this ever more diverse group of students, a personal learning system, which reflects the individual student’s learning style and needs, would be valuable. Such a system would successfully integrate a user’s learner profile, as well as his or her social networks, and big data sources, as well as time and location information in order to support ubiquitous learning. In this paper, we review PLAN (Personal Learning AssistaNt), our model for personal recommendation systems for students of higher learning and explore how ubiquitous learning fits in with our system.

Pages: 56 to 59

Copyright: Copyright (c) IARIA, 2017

Publication date: November 12, 2017

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-598-2

Location: Barcelona, Spain

Dates: from November 12, 2017 to November 16, 2017