A new proposal architecture for reference PLE: Refple

Abstract

The purpose of this paper is to design reference architecture for intelligent personal learning environments (PLE). This research effort is a result of a multi-stage approach. First, semi-structured interviews have been conducted with software development practitioners working in a large technology and communications services provider company. Interview content has been evaluated using thematic analysis. Second, reference architecture for intelligent personal learning environments has been designed and validated using the Software Architecture Analysis Method (SAAM). During SAAM evaluation, the output of the first phase and previous Personal Learning Environment literature reviews has been used. As a result, we demonstrated a novel architecture for personal learning environments. Proposed personal learning architecture has met the requirements of industry demands and previous literature. © 2019 Elsevier B.V., All rights reserved.