Attention, intentions, and the structure of discourse
Computational Linguistics
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
An Evidential Model for Tracking Initiative in Collaborative Dialogue Interactions
User Modeling and User-Adapted Interaction
Recognizing and responding to student plans in an intelligent tutoring system: circsim-tutor
Recognizing and responding to student plans in an intelligent tutoring system: circsim-tutor
Evaluating automatic dialogue strategy adaptation for a spoken dialogue system
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Mixed initiative in dialogue: an investigation into discourse segmentation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Mechanisms for mixed-initiative human-computer collaborative discourse
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Cues and control in expert-client dialogues
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Comparing several aspects of human-computer and human-human dialogues
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Reconciling initiative and discourse structure
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Team formation methods for increasing interaction during in-class group work
ITiCSE '05 Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education
Correlations between dialogue acts and learning in spoken tutoring dialogues
Natural Language Engineering
Towards designing a user-adaptive web-based e-learning system
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Spoken Versus Typed Human and Computer Dialogue Tutoring
International Journal of Artificial Intelligence in Education
The impact of instructor initiative on student learning: a tutoring study
Proceedings of the 40th ACM technical symposium on Computer science education
International Journal of Artificial Intelligence in Education
Automatic annotation of context and speech acts for dialogue corpora
Natural Language Engineering
Dialogue-Learning Correlations in Spoken Dialogue Tutoring
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
What Level of Tutor Interaction is Best?
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Dialog Convergence and Learning
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Comparing Linguistic Features for Modeling Learning in Computer Tutoring
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
The Influence of Learner Characteristics on Task-Oriented Tutorial Dialogue
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Learner characteristics and feedback in tutorial dialogue
EANL '08 Proceedings of the Third Workshop on Innovative Use of NLP for Building Educational Applications
Using Natural Language Processing to Analyze Tutorial Dialogue Corpora Across Domains Modalities
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Recognizing authority in dialogue with an integer linear programming constrained model
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Interactivity and expectation: eliciting learning oriented behavior with tutorial dialogue systems
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Characterizing the effectiveness of tutorial dialogue with hidden markov models
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
International Journal of Artificial Intelligence in Education - Special issue on Best of ITS 2010
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This work is the first systematic investigation of initiative in human-human tutorial dialogue. We studied initiative management in two dialogue strategies: didactic tutoring and Socratic tutoring. We hypothesized that didactic tutoring would be mostly tutor-initiative while Socratic tutoring would be mixed-initiative, and that more student initiative would lead to more learning (i.e., task success for the tutor). Surprisingly, students had initiative more of the time in the didactic dialogues (21% of the turns) than in the Socratic dialogues (10% of the turns), and there was no direct relationship between student initiative and learning. However, Socratic dialogues were more interactive than didactic dialogues as measured by percentage of tutor utterances that were questions and percentage of words in the dialogue uttered by the student, and interactivity had a positive correlation with learning.