DocumentCode :
2007162
Title :
Adaptive networked learning environments using learning objects, learner profiles and inhabited virtual learning worlds
Author :
Lin, Chi-Syan ; Kuo, Ming-Shiou
Author_Institution :
Nat. Univ. of Tainan, Taiwan
fYear :
2005
fDate :
5-8 July 2005
Firstpage :
116
Lastpage :
118
Abstract :
The paper proposes a constructivism approach based on the theory of learning objects, learning profiles and inhabited virtual learning worlds to achieve the goal of adaptive learning in networked learning environments. Given the proposed adaptive learning environments, learners can be uniquely identified and their learning processes can be monitored with their respective learner profiles. Moreover, learning supports could be provided during the process of learning in a scaffolding fashion based on both the data in learner profiles and learning objects database. In additions, an inhabited virtual world can contribute to a real time and immersive communication channel to incorporate collaborative learning pedagogy and build up learning community in the proposed adaptive networked learning environments. In summary, both the learning content and context not only can be personalized hut also can be collaborative in the proposed learning environments in an adaptive fashion which is the long-sought paradigm in the field of e-learning.
Keywords :
adaptive systems; computer aided instruction; groupware; object-oriented databases; object-oriented methods; real-time systems; virtual reality; adaptive networked learning environments; collaborative learning pedagogy; e-learning; immersive communication channel; inhabited virtual learning worlds; learner identification; learner profiles; learning community; learning object database; learning objects; learning process monitoring; real time communication channel; Adaptive systems; Collaboration; Collaborative work; Communication channels; Content management; Context; Databases; Electronic learning; Internet; Paper technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
Print_ISBN :
0-7695-2338-2
Type :
conf
DOI :
10.1109/ICALT.2005.41
Filename :
1508624
Link To Document :
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