DocumentCode :
3733263
Title :
Developing a technoself system to improve lifelong learning engagement
Author :
Li Jin;Wei Huang;Zhigang Wen
Author_Institution :
Department of Computer Science, University of Westminster, London, United Kingdom
fYear :
2015
Firstpage :
102
Lastpage :
107
Abstract :
Lifelong learning exists today in the context of a cultural and societal shift to a knowledge-based, technology-enhanced, and rapidly-changing economy. It has a significant impact on people´s lives and has become of vital importance with the emergence of new technologies that change how people communicate, collect information, and collaborate with others. The emerging technologies, such as social networking, interactive media and game technology, have expanded a new dimension of self - ´technoself driven by socio-technical innovations and taken an important step forward in lifelong learning through the Technology Enhanced Learning (TEL). The TEL encourages learners as producers to embed personalized knowledge and collective experience on individualized learning within professional practice. It becomes more personal and social than traditional lifelong learning, especially about the `learning as socially grounded´ aspects. This paper studies the development of technoself system during lifelong learning and introduces technoself enhanced learning as a novel sociological framework of lifelong learning to couple the educational dimension with social dimension in order to enhance learner engagement by shaping personal learning focus and setting. We examine how people construct their own inquiry and learn from others, how people shift and adapt in these technoself-enhanced learning environments, and how learner engagement is improving as the involvement of learners as producers in lifelong learning. We further discuss the barriers and the positive and negative unintended consequences of using technology for lifelong learning.
Keywords :
"Social network services","Education","Technological innovation","Context","Games","Conferences","Adaptation models"
Publisher :
ieee
Conference_Titel :
Teaching, Assessment, and Learning for Engineering (TALE), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/TALE.2015.7386024
Filename :
7386024
Link To Document :
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