An adaptive mobile learning system for learning a new language based on learner’s abilities

The rapid development of wireless infrastructure and wide use of mobile devices in our daily life has a major impact on our way of learning using computing technology. Particularly, learning a new language is a challenging concept for researcher. Furthermore, adaptive services is nowadays an important research topic in the field of web-based and mobile learning systems as there are no fixed learning path which are appropriate for all learners. However, most studies in this field have only focus on learning style and habits of learners. Far too little attention has been paid on the ability of learner. Therefore, the purpose of this paper is to propose a new adaptive mobile learning model for learning new languages based on ability of learner. Furthermore, an ontology-based knowledge modelling technique is proposed to classify language learning materials and describe user profile in order to provide adaptive learning environment

Personalised mobile learning system based on item response theory

Rapid advancements in the design and integration of mobile devices and networked technologies in day to day activities are creating new perceptions about the exploitation of mobile technologies in teaching and learning. Consequently, there is growing demand for personalised, efficient and flexible systems for supporting learning in various settings. However, fulfilling learner demand for personalised support requires better understanding of activities, operational contexts and purposes for which mobile devices are deployed to support learning. Therefore, our position with regards to methods for researching mobile learning focuses on personalised learning. This paper presents an approach to designing a personalised learning system by analysing the ability of the learner based on Items Response Theory. Furthermore, in the proposed system user profile is modelled based on profile ontology

A New Competence-based Approach for Personalizing MOOCs in a Mobile Collaborative and Networked Environment

Massive Open Online Courses (MOOCs) are a new disruptive development in higher education that combines openness and scalability in a most powerful way. They have the potential to widen participation in higher education. Thus, they contribute to social inclusion, the dissemination of knowledge and pedagogical innovation and also the internationalization of higher education institutions. However, one of the critical elements for a massive open language learning experience to be successful is to empower learners and to facilitate networked learning experiences. In fact, MOOCs are designed for an undefined number of participants, thus serving a high heterogeneity of profiles, with diverse learning styles and prior knowledge, and also contexts of participation and diversity of online platforms. Personalization can play a key role in this process. The iMOOC pedagogical model introduced the notion of diversity to MOOC design, allowing for a clear differentiation of learning paths and also virtual environments. In this article, the authors present a proposal based on the iMOOC approach for a new framework for personalizing and adapting MOOCs designed in a collaborative, networked pedagogical approach by identifying each participant's competence profile and prior knowledge, as well as the respective mobile communication device used to generate matching personalized learning. This article also shows the results obtained in a laboratory environment after an experiment has been performed with a prototype of the framework. It can be observed that creating personalized learning paths is possible and the next step is to test this framework with real experimental groups.Los cursos en línea masivos y abiertos (MOOC) son una nueva tendencia rompedora en la educación superior. Estos cursos combinan la propiedad de ser abiertos con la posibilidad de ser escalables de una forma muy potente. Tienen el potencial de permitir la participación en la educación superior para todas las personas, a todos los niveles. Por lo tanto, contribuyen a la inclusión social, la difusión del conocimiento y la innovación pedagógica, así como la internalización de las instituciones de educación superior. Sin embargo, uno de los elementos críticos para que tenga éxito una experiencia de aprendizaje de forma abierta y masiva es potenciar y facilitar una red de aprendizaje. De hecho, los MOOC no están diseñados para un número predefinido de participantes por lo que sirven para un alto número de perfiles heterogéneos, con diversidad de estilos de aprendizaje y conocimientos previos, pero también contextos de participación y diversidad de plataformas online. La personalización puede desempeñar un papel clave en este proceso. El modelo pedagógico iMOOC introdujo el principio de diversidad en el diseño de MOOC, permitiendo una clara diferenciación de caminos de aprendizaje y también entornos virtuales. En este artículo los autores presentan una propuesta basada en el enfoque de iMOOC, sobre un nuevo sistema para la personalización y adaptación de MOOC diseñados en un enfoque colaborativo y en una red pedagógica. El mecanismo es identificar cada competencia del perfil de los participantes, el conocimiento previo que estos tienen así como detectar sus respectivos dispositivos móviles, y se genera un camino de aprendizaje personalizado en base a estos parámetros. Este artículo también muestra los resultados obtenidos en un entorno de laboratorio después de un experimento llevado a cabo con un prototipo del sistema. Se puede observar que es posible crear caminos de aprendizaje personalizados y que el siguiente paso es probar este sistema con grupos experimentales reales