Classifying Student Initiatives and Tutor Responses in Human Keyboard-to-Keyboard Tutoring Sessions

Autor:	Allen A. Rovick, Joel Michael, Martha Evens, Farhana Shah
Rok vydání:	2002
Předmět:	Linguistics and Language Focus (computing) Computer science Communication Delivery mode Language and Linguistics Intelligent tutoring system Request for information Pedagogy ComputingMilieux_COMPUTERSANDEDUCATION Mathematics education Degree of certainty TUTOR computer computer.programming_language
Zdroj:	Discourse Processes. 33:23-52
ISSN:	1532-6950 0163-853X
DOI:	10.1207/s15326950dp3301_02
Popis:	This study analyzed twenty-eight 1-hr-long tutoring sessions that were carried out keyboard-to-keyboard with tutor and student in different rooms. The tutors were professors of physiology at Rush Medical College. The students were 1st-year medical students. We classified student initiatives and tutor responses in human tutoring sessions with the goal of making our intelligent tutoring system capable of handling mixed-initiative dialogue. Student initiatives were classified along 4 dimensions: communicative goal, surface form, focus of attention, and degree of certainty (i.e., does the student hedge or not?). Student goals included request for confirmation, request for information, challenge, refusal to answer, and conversational repair. Tutor responses were classified along 3 dimensions: communicative goal, surface form, and delivery mode. The tutor goals included causal explanation, acknowledgment, conversational repair, instruction in the rules of the game, teaching the problem-solving algorithm, and te...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fc2d32162cac6a66dfe2cc624260f81c https://doi.org/10.1207/s15326950dp3301_02 Zobrazit plný text záznamu