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Title:      AN INNOVATIVE APPROACH FOR PLANNING PERSONALIZED LEARNING PATHS IN A CONTEXT-AWARE UBIQUITOUS LEARNING ENVIRONMENT
Author(s):      Gwo-jen Hwang , Fan-ray Kuo , Ting-ting Wu
ISBN:      978-972-8924-77-5
Editors:      Inmaculada Arnedillo Sánchez and Pedro Isaías
Year:      2009
Edition:      Single
Keywords:      Ubiquitous Learning, Context Awareness, Computer-Assisted Learning, Situated Learning
Type:      Full Paper
First Page:      129
Last Page:      136
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      In a context-aware ubiquitous learning environment, learning systems can detect students’ learning behaviors in the real world with the help of context-aware (sensor) technology; that is, students can be guided to observe or operate real-world objects with personalized supports from the digital world. In this study, an optimization problem that models the objective and criteria for determining personalized context-aware ubiquitous learning paths to maximize the learning efficacy for individual students is formulated by taking the meaningfulness of the learning paths and the number of visitors simultaneously to each learning objects into account. Moreover, an algorithm is proposed to find quality solution. Experimental results from the learning activities conducted in an elementary school are also given to depict the benefits of the innovative approach.
   

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