Title
An enhanced concept map approach to improving children's storytelling ability
Abstract
Storytelling is an imperative and innovative pathway to enhance learning due to the fact that such activity prompts learners to reflect to construct meaning based on their observations and knowledge. Therefore, to develop and enhance students' storytelling ability has become an important issue for both educators and researchers. Since storytelling involves complex cognitive processes, this study proposed an enhanced concept map approach featured with story grammars to help children develop stories. By gathering the stories developed by 114 third-graders, this study aimed to investigate whether the concept map approach can enhance their storytelling ability. It is found that the children, who used the concept map with story grammars, can develop stories with more complex structure, clearer subjects, more creative ideas, and abundant contents than those only using the concept map without the grammars. Such findings support that the concept map and story grammars can be an effective approach for developing learner-centered storytelling tools which help students develop and apply the knowledge about storytelling.
Year
DOI
Venue
2011
10.1016/j.compedu.2010.10.029
Computers & Education
Keywords
Field
DocType
storytelling ability,evaluation of cal systems,interactive learning environments,enhanced concept map approach,human–computer interface,story grammar,complex structure,effective approach,complex cognitive process,concept map approach,learner-centered storytelling tool,abundant content,multimedia/hypermedia systems,concept map,human computer interface,teaching methods,cognitive process,concept mapping,cognitive processes
Rule-based machine translation,Concept map,Storytelling,Computer science,Knowledge management,Pedagogy,Teaching method,Cognition
Journal
Volume
Issue
ISSN
56
3
Computers & Education
Citations 
PageRank 
References 
13
0.86
26
Authors
5
Name
Order
Citations
PageRank
Chen-Chung Liu149253.96
Holly S. L. Chen2130.86
Ju-Ling Shih316317.69
Guo-Ting Huang4130.86
Baw-Jhiune Liu519338.12