JUCS - Journal of Universal Computer Science 21(10): 1248-1268, doi: 10.3217/jucs-021-10-1248
A Proposal for an Integrated Evaluation Framework for Mobile Language Learning: Lessons Learned from SIMOLA - Situated Mobile Language Learning
Annamaria Cacchione‡, Emma Procter-Legg, Sobah Abbas Petersen§, Marcus Winter|‡ Universidad Complutense de Madrid, Madrid, Spain§ Norwegian University of Science and Technology, Trondheim, Norway| University of Brighton, Brighton, United Kingdom
Corresponding author: Annamaria Cacchione ( annamaria.cacchione@filol.ucm.es ) © Annamaria Cacchione, Emma Procter-Legg, Sobah Petersen, Marcus Winter. This article is freely available under the J.UCS Open Content License. Citation:
Cacchione A, Procter-Legg E, Petersen SA, Winter M (2015) A Proposal for an Integrated Evaluation Framework for Mobile Language Learning: Lessons Learned from SIMOLA - Situated Mobile Language Learning. JUCS - Journal of Universal Computer Science 21(10): 1248-1268. https://doi.org/10.3217/jucs-021-10-1248 |  |
Abstract
The main aim of this paper is to share our experiences and lessons learned from a MALL project, the EU LLP Project SIMOLA. The SIMOLA project focused on user generated or crowd-sourced language content to support mobile, situated and collaborative learning [Petersen et al., 14] via an Android-based app called LingoBee. This paper will analyse key elements for successful mobile language learning by considering two different but complementary fields of investigation: the neuroscience of learning and mobile language learning. Furthermore it will propose an integrated framework to evaluate mobile language learning tools, which could potentially be used by learning designers and teachers. To demonstrate the evaluation framework, it will be applied to the SIMOLA app, LingoBee, to see if and how it meets the identified criteria.
Keywords
MALL, Mobile Language Learning, Critical Success Factors, Neuroscience of Language Learning, User-Generated Content