INDeLER: eLearning Personalization by Mapping Student's Learning Style and Preference to Metadata

نویسندگان

  • Dragica Vladimir Jovanovic
  • D. Milosevic
  • M. Zizovic
چکیده

This paper presents the process of developing Student profile by mapping students categories explored with FelderSoloman’s ILS questionnaire to the appropriate value of the personalization vector XYZ, and by deriving vector's values from the acquired student’s answers on Preference test. Obtained vector values perform the PeLCoM metadata and they provide recommendations for creating personalized eLearning experience. The architecture of Personalized eLearning System INDeLER is presented. INDeLER system derives student’s profile, provides sequencing of personalized eLearning sessions and supports scenario for designing lessons content tailored to the individual student needs. Further, we describe how the personalization system INDeLER includes teacher's influence to the eLearning experience by composing different pedagogical aspects and corresponding didactic and methodological processes to the unique way of teaching tailored to the particular student needs. The example of INDeLER personalization process is also shown.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Organizing Learning Objects for Personalized eLearning Services

In this paper we present a way to organize Learning Objects to achieve personalized eLearning. PEDAL-NG is a system that supports personalization based on the user’s prior knowledge and the learning style in an existing and operational eLearning environment. The prior knowledge assessment and the learning style questionnaire proved to be simple and useful tools to gather necessary information a...

متن کامل

Multi-model, Metadata Driven Approach to Adaptive Hypermedia Services for Personalized eLearning

One of the major obstacles in developing quality eLearning content is the substantial development costs involved and development time required [12]. Educational providers, such as those in the university sector and corporate learning, are under increasing pressure to enhance the pedagogical quality and technical richness of their course offerings while at the same time achieving improved return...

متن کامل

Metadata Driven Approaches to Facilitate Adaptivity in Personalized eLearning Systems

Personalized eLearning Systems tailor the learning experience to characteristics of individual learners. These tailored course offerings are often comprised of discrete electronic learning resources, such as text snippets, interactive animations, diagrams, and videos. An extension of standard metadata schemas developed for facilitating the discovery and reuse of such adaptive learning resources...

متن کامل

Semantic Web Technologies Applied to e-learning Personalization in <e-aula>

Despite the increasing importance gained by e-learning standards in the past few years, and the unquestionable goals reached (mainly regarding interoperability among elearning contents) current e-learning standards are yet not sufficiently aware of the context of the learner. This means that only a limited support for adaptation regarding individual characteristics is currently being provided. ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • iJET

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2008