Annotation of Tutorial Dialogue Goals for Natural Language Generation
Bibliographic Data
| ID | 11273040 |
|---|---|
| Authors | Jung Hee Kim (0000-0003-1932-0234, North Carolina Agricultural and Technical State University, corresponding author), Reva Freedman (0000-0002-0823-6961, Northern Illinois University), Michael R Gla (0000-0003-3522-1519), Michael Glass (0000-0002-8006-8843, Valparaiso University), Martha W Evens, Martha Evens (Illinois Institute of Technology) |
| Year | 2006 |
| Volume | 42 |
| Issue | 1 |
| Pages | 37-74 |
| Publication date | 2006-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Discourse Processes (JOURNAL) |
| Journal identifiers | ISSN: 0163-853X • E-ISSN: 1532-6950 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1207/s15326950dp4201_2 |
| OpenAlex | W2079368683 |
| Language | EN |
| References cited | 25 |
We annotated transcripts of human tutoring dialogue for the purpose of constructing a dialogue-based intelligent tutoring system, CIRCSIM-Tutor. The tutors were professors of physiology who were also expert tutors. The students were 1st year medical students who communicated with the tutors using typed communication from separate rooms. The tutors made use of a rich variety of strategies, some specific to particular content areas and others more general, such as showing that the student holds contradictory beliefs about the domain. In this article, we describe our model of hierarchical goal structure for tutorial dialogues. We catalog each major pedagogical method we found in the dialogues, showing its structure and illustrating the features
Annotation · Context (archaeology · Domain (mathematical analysis · Interpersonal communication · Linguistics · Narrative · Natural (archaeology · Natural language processing · Programming language · TUTOR · Variety (cybernetics · Communication · Computer Science · Innovative Teaching and Learning Methods · Intelligent Tutoring Systems and Adaptive Learning · Psychology · Speech and dialogue systems · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |