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
Rediscovering the use of chatbots in education: A systematic literature review
TL;DR: This research paper attempts to make a systematic review of the literature on educational chatbots that address various issues, and identifies instances where a chatbot can assist in learning under conditions similar to those of a human tutor.
Journal ArticleDOI
An adaptation algorithm for an intelligent natural language tutoring system
TL;DR: The results show that learners experiencing a conversational tutorial personalised to their learning styles performed significantly better during the tutorial than those with an unmatched tutorial.
Proceedings ArticleDOI
QuizBot: A Dialogue-based Adaptive Learning System for Factual Knowledge
Sherry Ruan,Liwei Jiang,Justin Xu,Bryce Joe-Kun Tham,Zhengneng Qiu,Yeshuang Zhu,Elizabeth L. Murnane,Emma Brunskill,James A. Landay +8 more
TL;DR: QuizBot, a dialogue-based agent that helps students learn factual knowledge in science, safety, and English vocabulary, and suggests that educational chatbot systems may have beneficial use, particularly for learning outside of traditional settings.
Journal ArticleDOI
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
Hui Luan,Peter Géczy,Hollis Lai,Janice D. Gobert,Stephen J.H. Yang,Hiroaki Ogata,Jacky Baltes,Rodrigo da Silva Guerra,Ping Li,Chin Chung Tsai +9 more
TL;DR: An in-depth dialog between supporters of “cold” technology and “warm” humanity is advocated so that it can lead to greater understanding among teachers and students about how technology can bring new opportunities (and challenges) that can be best leveraged for pedagogical practices and learning.
Book ChapterDOI
A comparative study of two short text semantic similarity measures
TL;DR: A comparative study of STASIS and LSA is described, which shows measures of semantic similarity can be applied to short texts for use in Conversational Agents (CAs), and a benchmark data set of 65 sentence pairs with human-derived similarity ratings is presented.
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.