Name
Abstract | ||
|---|---|---|
The purpose of this paper is to design a schema of webgame-based collaborative learning. Using the most popular webgame "Happy Farm" as a case study, this paper reviews and analyses the characteristics of the game and usability of the interface through learning theories such as behaviorism, cognitivism and constructivism and interface design theories by Shneiderman and laws of gestalt psychology. It indicates that webgames can be reused to be good learning resources if designers integrate reasonable topics and tasks. They can provide a collaborative learning environment and are good for developing learners' higher order thinking skills. Usability principles used in this case study should be provided by the teachers to choose webgames to ensure more standardized and rigorous learning environment. This learning design provides teachers with insights into the use of learning theories and usability principles for choosing webgames for designing learning activities. It also provides a gauge of current usability level of commercially developed webgames as usage of such webgames continue to proliferate. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-14533-9_23 | Edutainment |
Keywords | Field | DocType |
happy farm,usability principle,interface design theory,webgame-based collaborative learning,good learning resource,paper review,case study,gestalt psychology,current usability level,rigorous learning environment,collaborative learning environment,interface design,higher order,collaborative learning,learning theory | Experiential learning,Educational technology,Team learning,Learning sciences,Collaborative learning,Active learning,Computer science,Knowledge management,Synchronous learning,Learning environment,Multimedia | Conference |
Volume | ISSN | ISBN |
6249 | 0302-9743 | 3-642-14532-9 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Jian | 1 | 5 | 1.54 |
| Yueguang Xie | 2 | 0 | 0.68 |
| Wenhe Tang | 3 | 0 | 0.34 |
| Chunhui Wang | 4 | 0 | 0.34 |