The image above describes the overall scenes arrangement and scenario flow of the system.
The user:
• Will find himself in front of the main menu in the first place which contains the links for the simulation and the conversation scenes.
• The user has the choice to choose to start with the simulation or the conversation which in the normal case he will start with simulation but he has the choice anyway.
• We’ll go with the normal case in which the user chooses the simulation first of all, he will then move to the next scene that will contain two links: the first one for the first sub-simulation named ”Attract and Repel” and the second one for the second sub-simulation named “Electric Force”.
• After playing …show more content…
Average of the pre-test, the test, the post-test and the learning gains for the 2nd experimentation Pre-test Post-test1 Post-test2 Learning gain(pre-test/pots-test1) Learning gain(pre-test/post-test2)
Conversation only/Full system 0.615 2.615 5 2 4.153
As we can see there is a difference between the learning gain after using simulation only and the learning gain after using the full system with the favor to the full system. Also, there is a difference between the learning gain after using the chatting robot only and the learning gain after using the full system with the favor to the full system.
But is this difference significant? To know the answer to that, we used a paired-samples t-test. The t-test is one of the most used statistical methods to compare between the means of two groups and to know whether the difference between them is statistically different or not. (Guili Zhang, 2009)
For the first group our hypotheses are going to be:
H0: Null hypothesis: There is no significant difference between the learning gains after using simulation only and after using the whole system.
H1: Alternative hypothesis: There is a significant difference between the learning gains after using simulation only and after using the whole …show more content…
User’s satisfaction and technology acceptance:
Technology acceptance is a factor that determines the success of the technology since the technology is of no value, if we may say, if the users don’t accept it and don’t use it. A lot of models and theories have been developed to measure the user’s acceptance of technology. We mention:
- Cognitive Dissonance Theory (CDT) (Festinger, 1957)
- Task Technology Fit Model (TTF) (Goodhue & Thompson, 1995)
- Theory of Reasoned Action (TRA) (Fishbein & Ajzen, 1975)
- Technology Acceptance Model (TAM) (Davis, 1989)
Technology Acceptance Model TAM is one of the most common and used models for the sake of determining the technology acceptance and many studies concentrated on expanding it since it was proven by experience that it has a high validity. (T. Ramayah et al,