Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)

Using Task-Technology Fit Model Evaluates Trainees’ Learning Perform-ance In Second Life

Authors
ChiuJung Chen
Corresponding Author
ChiuJung Chen
Available Online March 2013.
DOI
10.2991/icibet.2013.197How to use a DOI?
Abstract

3D virtual environment such as Second Life is very popular to assist trainees’ learning. However, the effects of learning performance are very in different studies. Learning performance is the most im-portant factor to decide how successful instruction is. This study not only uses task-technology fit model as foundation to evaluate trainee’ learning performance but also provides the employer a point of management view to evaluate employee’s performance. More factors such as interaction between trainers and trainees, attitude of trainee, and relevance of problem solving are also discussed in this issue.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-57-4
ISSN
1951-6851
DOI
10.2991/icibet.2013.197How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - ChiuJung Chen
PY  - 2013/03
DA  - 2013/03
TI  - Using Task-Technology Fit Model Evaluates Trainees’ Learning Perform-ance In Second Life
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 908
EP  - 912
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.197
DO  - 10.2991/icibet.2013.197
ID  - Chen2013/03
ER  -