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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Development of Agent-Based Intelligent Tutoring System for Teaching Object-Oriented Programming Concepts
TL;DR: This paper shows that usage of ‘ProgTool’ helps students with topic sequencing, visual representation, and choice of multiple exercises and tests on each topic makes it a very useful for tutoring.
Dissertation
Development of an Arabic conversational intelligent tutoring system for education of children with autism spectrum disorder
TL;DR: Research to develop a Novel Arabic Conversational Intelligent Tutoring System (CITS), called LANA, for children with ASD, which delivers topics related to the science subject by engaging with the user in Arabic language is described.
Journal ArticleDOI
An agent‐based intelligent virtual learning environment for construction management
TL;DR: The proposed agent‐oriented methodology and resulting application organises construction knowledge into a structure that enables the students to undertake more self‐directed, systematic and scientific exploration within construction courses to enrich students' learning with practice‐based experiences.
Proceedings ArticleDOI
Toward Automatically Measuring Learner Ability from Human-Machine Dialog Interactions using Novel Psychometric Models.
TL;DR: This paper formulates a Markov decision process based measurement model, and applies it to text chat data collected from crowdsourced native and non-native English language speakers interacting with an automated dialog agent, and finds that it effectively captures the differences in how native andnon-native speakers of English accomplish the dialog task.
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.