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.read more
Citations
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Journal ArticleDOI
The method of rational reconstruction for education in the tradition of Habermas
TL;DR: In this paper, the authors address Habermas' method of rational reconstruction in the context of the competing approaches of postmodernism and neoliberalism, and differentiate it from the traditional rational reconstruction tradition.
Dissertation
Adaptive robotic tutors for scaffolding self-regulated learning
TL;DR: The benefits of fully autonomous adaptive robotic tutors for scaffolding SRL skills include the learners reflecting more on their developing competencies and skills, greater adoption SRL processes, and increased learning gain.
Journal ArticleDOI
Intelligent fuzzy spelling evaluator for e-Learning systems
TL;DR: The feature incorporated in this work adds the human element to the mechanised system of evaluation and assessment in an e-Learning environment.
Journal ArticleDOI
A versatile agile agent-based infrastructure for hybrid production environments
TL;DR: This work has developed an agent-based software infrastructure for agile industrial production that fits well in a production environment where the production is done by humans instead of equiplets, what it is called a hybrid production environment.
Proceedings ArticleDOI
Intelligent advice generator for personalized language learning through social networking sites
TL;DR: An intelligent advice generation module is presented that has incorporated the advice generation mechanism in a Facebook application for language learning and a significant feature in the proposed framework of advice generation is user modeling.
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.
Journal ArticleDOI
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.