DocumentCode
2547969
Title
The efficacy of behavior modeling: a comparison of face-to-face and online asynchronous software-training methods
Author
Chen, Charlie C. ; Ryan, Terry ; Olfman, Lorne
Author_Institution
Appalachian State Univ., Boone, NC, USA
fYear
2004
fDate
5-8 Jan. 2004
Abstract
In face-to-face software-training settings, the behavior-modeling method has been shown to be more effective than either instruction-based or exploration-based methods. Yet, in online asynchronous software-training settings the behavior-modeling method may not be superior. This study provides evidence as to the relative effectiveness of these three software-training methods for the online asynchronous environment. A field experiment was conducted adapting the three methods to an online asynchronous environment, and including a face-to-face behavior-modeling control condition. Results indicate that when conducting software training, it may be almost as effective to use an online asynchronous behavior-modeling method as it is to use a more costly face-to-face behavior-modeling method. Although somewhat better results sometimes are evident for face-to-face behavior-modeling, observed differences are not significant, nor are their patterns consistent. Within the limits of instrument translation concerns, there seems to be no significant interaction of learning style and training method on training performance or trainee reactions to their training. The study provides evidence as to the relative effectiveness of various methods, particularly those of online asynchronous nature, for software training. Within its limits, this research takes a first step in developing a strategy for online asynchronous software training.
Keywords
distance learning; training; user modelling; behavior modeling; face-to-face software training; instrument translation; learning style; online asynchronous software training; Acceleration; Cognitive science; Computer aided instruction; Educational institutions; Instruments; Internet; Microcomputers;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on
Print_ISBN
0-7695-2056-1
Type
conf
DOI
10.1109/HICSS.2004.1265053
Filename
1265053
Link To Document