Broadening Word Learning Scopes in Informal Learning using Ubiquitous Learning Tools

Abstract

Word learning remains a complicated process for humans even though technology-enhanced learning platforms such as u-learning, m-learning, computer-assisted language learning have shown great promise. Limited learning scopes and lack of motivation remained the criticisms and challenges for ubiquitous and mobile learning research. This study aims to integrate three computer-assisted language learning tools, namely AIVAS (Appropriate Image-based Image Acquisition System), IU (Image Understanding) Ecosystem, and IVLS (Incidental Vocabulary Learning System), to broaden the word learning scopes. With this integration, the users of these systems would learn incidental and intentional vocabulary seamlessly. Furthermore, this paper addresses issues on image analytics to design new methodologies to broaden the word learning scopes in informal learning.