Name
Abstract | ||
|---|---|---|
In this paper we present a design of a student model based on generic fuzzy inference design. The membership functions and the rules of the fuzzy inference can be fine-tuned by the teacher during the learning process (run time) to suit the pedagogical needs, creating a more flexible environment. The design is used to represent the learner's performance. In order to test the human computer interaction of the system, a prototype of the system was developed with limited teaching materials. The interaction with the first prototype of the system demonstrated the effectiveness of the decision making using fuzzy inference. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-90-481-9112-3_7 | INNOVATIONS IN COMPUTING SCIENCES AND SOFTWARE ENGINEERING |
Keywords | DocType | Citations |
membership function,human computer interaction | Conference | 0 |
PageRank | References | Authors |
0.34 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dawod Kseibat | 1 | 0 | 0.68 |
| Ali Mansour | 2 | 6 | 2.81 |
| Osei Adjei | 3 | 14 | 4.20 |
| Paul Phillips | 4 | 0 | 0.68 |