Title :
Notice of Retraction
An Information Processing Model of E-learning from the Ecological Viewpoint
Author :
Jiahua Zhang ; Jianping Zhang
Author_Institution :
Sch. of Teacher Educ., Zhejiang Normal Univ., Jinhua, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Based on information processing theory, this study conducted an analysis of the literature on learning process models and put forward a new model of e-learning from the prospective of ecology. First, it suggested four stages during the development of information processing models on learning process, and pointed out the problems and limitations of previous researches. Then it constructed an ecological information processing model of e-learning based on the theories of social constructivism, distributed cognition and information ecology, and described three main characteristics of the model. Finally, it explained the implications and limitations of the model.
Keywords :
cognition; computer aided instruction; distributed processing; ecology; information theory; distributed cognition; e-learning; ecological information processing; ecological viewpoint; information processing model; information processing theory; learning process; social constructivism; Biological system modeling; Brain modeling; Cognition; Computer science; Computer science education; Educational technology; Electronic learning; History; Information processing; Psychology; e-learning; ecological viewpoint; information processing; learning process; model;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
DOI :
10.1109/ETCS.2010.341