Name
Title | ||
|---|---|---|
An Empirical Study Of Computer System Learning: Comparison Of Co-Discovery And Self-Discovery Methods |
Abstract | ||
|---|---|---|
This paper reports a study that examined two types of exploratory computer learning methods: self-discovery vs. co-discovery, the latter of which involves two users working together to learn a system. An experiment was conducted to compare these two methods and the results were interpreted within a mental model framework. Co-discovery subjects were better than self-discovery subjects at making inferences about the capability and extended functions of the system. Furthermore, while working by themselves after an initial period of learning, they performed better in a similar, though more complex task than the one they encountered at the learning phase. Process tracing analysis showed that self-discovery subjects focused more on surface structures, such as detailed physical actions, for implementing the task. On the other hand, co-discovery groups focused more on relating lower level actions to higher level goals. Therefore, co-discovery subjects had a better understanding of the relationships between the physical actions and goals, and hence formed mental models with higher inference potential than self-discovery subjects. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1287/isre.8.3.254 | INFORMATION SYSTEMS RESEARCH |
Keywords | Field | DocType |
mental models, verbal protocols, computer system learning, co-discovery learning, process tracing, inference | Self-discovery,Mental model,Computer science,Inference,Knowledge management,Cognitive psychology,Artificial intelligence,Process tracing,Empirical research,Machine learning | Journal |
Volume | Issue | ISSN |
8 | 3 | 1047-7047 |
Citations | PageRank | References |
28 | 3.99 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai H. Lim | 1 | 960 | 49.39 |
| Lawrence M. Ward | 2 | 103 | 10.51 |
| Izak Benbasat | 3 | 4503 | 584.45 |