The future of social learning: A novel approach to connectivism

Abstract

The primary goal of this paper is to operationalize the connectivism approach into a new learning model with additions from problem-based and contextual learning that can be effectively implemented together, to improve socioeconomically diverse learners' educational outcomes (attitude and persistence) in STEM (Science, Technology, Education and Mathematics) areas. We model this approach through the development and demonstration of an innovative, evidence-based, and scalable how-to-learn program that leverages connectivism principles and technology. This paper uses the case of energy education to provide contextual relevancy and prepare learners for the high demand jobs of the future. The new model is developed within the context of Internet of Things (IoT), where students have a unique opportunity to participate in a real-world application of an IoT system for green energy governance.