Multiple language learning: Creating user models through Voronoi iteration
نویسندگان
چکیده
Learning foreign languages during the last decade is highly supported by computer systems and their corresponding software applications. However, in the fast and demanding pace of modern life, it is quite common finding people who learn to speak not only one but many foreign languages at the same time. Tutoring systems that support this kind of more demanding electronic teaching need to incorporate intelligence and also adaptation to the needs of their users. Both the creation and the successful incorporation of these user models into a tutoring system are accomplished through the implementation of the Voronoi iteration. In this way, users’ characteristics define data points in Euclidean space and are grouped into a given number of categories using k-means clustering. A basic aim of this work is to utilize pre-stored information about past users in order to help future users learn more successfully and more efficiently. Keywords-student modeling; stereotypes; machine learning for user modeling; k-means algorithm; language learning; intelligent
منابع مشابه
Geospatial Cluster Tessellation Through the Complete Order- k Voronoi Diagrams
In this paper, we propose a postclustering process that robustly computes cluster regions at different levels of granularity through the complete Order-k Voronoi diagrams. The robustness and flexibility of the proposed method overcome the application-dependency and rigidity of traditional approaches. The proposed cluster tessellation method robustly models monotonic and nonmonotonic cluster gro...
متن کاملA Multiple Instance Learning and Relevance Feedback Framework for Retrieving Abnormal Incidents in Surveillance Videos
This paper incorporates coupled hidden Markov models (CHMM) with relevance feedback (RF) and multiple-instance learning (MIL) for retrieving various abnormal events in surveillance videos. CHMM is suitable for modeling not only the object’s behavior itself but also the interactions between objects. In addition, to address the challenges posed by the “semantic gap” between high level human conce...
متن کاملCentroid-based Clustering for Student Models in Computer-based Multiple Language Tutoring
This paper proposes an approach for the initialization and the construction of student models in an intelligent tutoring system that teaches multiple foreign languages. The basic concept for the construction of the initial user models is to assign each new student to a model with similar characteristics. As it is quite easy to understand that a tutoring system has rather little information abou...
متن کاملRelationship Between Iranian L2 Learners’ Multiple Intelligences and Language Learning Strategies
L2 learners’ multiple intelligences (MI) profile plays a central role in theirperformance on different aspects of language learning, one of which is the use oflanguage learning strategies (LLSs). Gaining insights into the relationship betweenMI and LLSs makes L2 teachers better understand their learners’ strengths andweaknesses in the use of such strategies and lets them guide the learners bett...
متن کاملApplied Linguistic Approach to Language Learning Strategies (A Critical Review)
From applied linguistic point of view, the fundamental question facing the language teachers, methodologists and course designers is which procedure is more effective in FL/SL: learning to use or using to learn? Definitely, in order to be a competent language user, knowledge of language system is necessary, but it is not sufficient to be a successful language user. That is why there was a gradu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012