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A Proposal for an Integrated Evaluation Framework for Mobile Language Learning: Lessons Learned from SIMOLA – Situated Mobile Language Learning

机译:关于移动语言学习综合评估框架的提案:从SIMOLA中学到的经验–定位的移动语言学习

摘要

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.
机译:本文的主要目的是分享我们从MALL项目EU LLP项目SIMOLA中获得的经验和教训。 SIMOLA项目侧重于用户生成或众包的语言内容,以通过基于Android的名为LingoBee的应用程序支持移动学习,定位学习和协作学习[Petersen等,14]。本文将通过考虑两个不同但互补的研究领域来分析成功进行移动语言学习的关键要素:学习的神经科学和移动语言学习。此外,它将提出一个综合框架来评估移动语言学习工具,学习设计师和教师可能会使用它。为了演示评估框架,该框架将应用于SIMOLA应用程序LingoBee,以查看其是否以及如何满足已确定的标准。

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