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Journal ArticleDOI

AutoTutor: an intelligent tutoring system with mixed-initiative dialogue

TLDR
Grounded in constructivist learning theories and tutoring research, AutoTutor achieves learning gains of approximately 0.8 sigma (nearly one letter grade), depending on the learning measure and comparison condition.
Abstract
AutoTutor simulates a human tutor by holding a conversation with the learner in natural language. The dialogue is augmented by an animated conversational agent and three-dimensional (3-D) interactive simulations in order to enhance the learner's engagement and the depth of the learning. Grounded in constructivist learning theories and tutoring research, AutoTutor achieves learning gains of approximately 0.8 sigma (nearly one letter grade), depending on the learning measure and comparison condition. The computational architecture of the system uses the .NET framework and has simplified deployment for classroom trials.

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Citations
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Journal ArticleDOI

Agent Technologies Designed to Facilitate Interactive Knowledge Construction

TL;DR: Computer technologies that have been developed during the last decade with tutors that attempt to facilitate deep comprehension, reasoning in natural language, and inquiry (i.e., question asking, question answering, hypothesis testing) and are tested on their effectiveness in facilitating knowledge construction are described.
Journal ArticleDOI

CSIEC: A computer assisted English learning chatbot based on textual knowledge and reasoning

TL;DR: The CSIEC system suggests a naive approach of logical reasoning and inference directly through syntactical and semantic analysis of textual knowledge, which has advantages over the old ELIZA-like keywords matching mechanism.
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Leveraging machine-learned detectors of systematic inquiry behavior to estimate and predict transfer of inquiry skill

TL;DR: Machine-learned models that can detect when students test their articulated hypotheses, design controlled experiments, and engage in planning behaviors using two inquiry support tools are generated, and their skill estimates were significant predictors of the two types of inquiry transfer tests.
Journal ArticleDOI

Designing and evaluating a wizarded uncertainty-adaptive spoken dialogue tutoring system

TL;DR: This study is the first study to show that dynamically responding to uncertainty can significantly improve learning during computer tutoring, and highlights the ongoing evaluation of the two uncertainty-adaptive systems with respect to other important performance metrics.
Posted Content

Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems

TL;DR: This paper proposes a novel ensemble of retrieval-based and generation-based dialog systems in the open domain that outperforms each single part of it by a large margin.
References
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Book

Affective Computing

TL;DR: Key issues in affective computing, " computing that relates to, arises from, or influences emotions", are presented and new applications are presented for computer-assisted learning, perceptual information retrieval, arts and entertainment, and human health and interaction.
Journal ArticleDOI

An introduction to latent semantic analysis

TL;DR: The adequacy of LSA's reflection of human knowledge has been established in a variety of ways, for example, its scores overlap those of humans on standard vocabulary and subject matter tests; it mimics human word sorting and category judgments; it simulates word‐word and passage‐word lexical priming data.
Journal ArticleDOI

Intelligent tutoring systems

TL;DR: Computer tutors based on a set of pedagogical principles derived from the ACT theory of cognition have been developed for teaching students to do proofs in geometry and to write computer programs in the language LISP.
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Cognitive Tutors: Lessons Learned

TL;DR: The 10-year history of tutor development based on the advanced computer tutoring (ACT) theory is reviewed, finding that a new system for developing and deploying tutors is being built to achieve the National Council of Teachers of Mathematics (NCTM) standards for high-school mathematics in an urban setting.