Spoken Dialogs With a Virtual Science Tutor
نویسندگان
چکیده
My Science Tutor (MyST) is an intelligent tutoring system designed to improve science learning by elementary school students through conversational dialogs with a virtual science tutor in an interactive multimedia environment. Marni, a lifelike 3-D character, attempts to elicit self-expression from students, process their spoken explanations to assess understanding, and scaffold learning by asking open-ended questions accompanied by illustrations, animations or interactive simulations. MyST uses automatic speech recognition, natural language processing and dialog modeling technologies to interpret student responses and manage the dialog.
منابع مشابه
Conversations with a virtual science tutor in multimedia learning environments
During the past two years, a team of researchers, developers and teachers at Boulder Language Technologies has been collaborating with colleagues at the University of Colorado and the University of Pittsburgh to develop My Science Tutor (MyST), an intelligent tutoring system that is designed to improve science achievement of third, fourth and fifth grade students through conversational spoken d...
متن کاملMy Science Tutor - Learning Science with a Conversational Virtual Tutor
This paper presents a conversational, multimedia, virtual science tutor for elementary school students. It is built using state of the art speech recognition and spoken language understanding technology. This virtual science tutor is unique in that it elicits self-explanations from students for various science phenomena by engaging them in spoken dialogs and guided by illustrations, animations ...
متن کاملLife-Like Animated Virtual Tutor Embedded Learning Module
In order to engage students in their learning experience, a life-like animated virtual tutor enhanced learning module that control learning interactions with students was presented in this paper. This module is designed to presents scientific lectures to students in optimal ways through narrated animations and to provide interactive support to students as they learn science expositions, and to ...
متن کاملPredicting Change in Student Motivation by Measuring Cohesion between Tutor and Student
We apply a previously reported measure of dialog cohesion to a corpus of spoken tutoring dialogs in which motivation was measured. We find that cohesion significantly predicts changes in student motivation, as measured with a modified MSLQ instrument. This suggests that non-intrusive dialog measures can be used to measure motivation during tutoring.
متن کاملCohesion and Learning in a Tutorial Spoken Dialog System
Two measures of lexical cohesion were developed and applied to a corpus of human-computer tutoring dialogs. For both measures, the amount of cohesion in the tutoring dialog was found to be significantly correlated to learning for students with below-mean pretest scores, but not for those with above-mean pre-test scores, even though both groups had similar amounts of cohesion. We also find that ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012