Name
Title | ||
|---|---|---|
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor |
Abstract | ||
|---|---|---|
To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an Intelligent Tutoring System that teaches troubleshooting. We systematically evaluated them in a three way comparison that included the original system, which generates overly repetitive feedback. We found that DIAG-NLP2, the generator which intuitively produces the best, corpus-based language, does engender the most learning. Distinguishing features of the more effective feedback are: it obeys Grice's maxim of brevity, it is more directive and uses a specific type of referring expressions. Interestingly, simpler ways of restructuring the original repetitive feedback as done in DIAG-NLP1, such as exploiting the hierarchical structure of the domain, were not effective. Since the design of interfaces to Intelligent Tutoring Systems often includes verbal feedback, we suggest that: if the number of different contexts in which verbal feedback is provided is high, such feedback should be based on corpus studies, and generated by techniques more sophisticated than template filling. |
Year | Venue | Keywords |
|---|---|---|
2008 | I. J. Artificial Intelligence in Education | . intelligent tutoring systems,original system,concise natural language feedback,generating concise language feedback,distinguishing feature,natural language generator,verbal feedback,original repetitive feedback,feedback generation,natural language interfaces,computer tutor,effective feedback,repetitive feedback,corpus studies,intelligent tutoring system,intelligent tutoring systems,natural language,natural language interface |
Field | DocType | Volume |
Troubleshooting,TUTOR,Expression (mathematics),Intelligent tutoring system,Computer science,Grice,Directive,Three-way comparison,Natural language,Artificial intelligence,Natural language processing | Journal | 18 |
Issue | Citations | PageRank |
4 | 4 | 0.48 |
References | Authors | |
34 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Barbara Di Eugenio | 1 | 801 | 109.27 |
| Davide Fossati | 2 | 170 | 19.62 |
| Susan Haller | 3 | 30 | 2.75 |
| Dan Yu | 4 | 4 | 0.48 |
| Michael Glass | 5 | 261 | 25.41 |