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Journal ArticleDOI

Intelligent tutoring systems

John R. Anderson, +2 more
- 26 Apr 1985 - 
- Vol. 228, Iss: 4698, pp 456-462
TLDR
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.
Abstract
Cognitive psychology, artificial intelligence, and computer technology have advanced to the point where it is feasible to build computer systems that are as effective as intelligent human tutors 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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Citations
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Journal ArticleDOI

Motivating Project-Based Learning: Sustaining the Doing, Supporting the Learning

TL;DR: Project-based learning as discussed by the authors is a comprehensive approach to classroom teaching and learning that is designed to engage students in investigation of authentic problems, and it has the potential to help people learn.
Journal ArticleDOI

Improving Students’ Learning With Effective Learning Techniques: Promising Directions From Cognitive and Educational Psychology

TL;DR: This monograph discusses 10 learning techniques that benefit learners of different ages and abilities and have been shown to boost students’ performance across many criterion tasks and even in educational contexts.
Journal ArticleDOI

Methods and techniques of adaptive hypermedia

TL;DR: This paper is a review of existing work on adaptive hypermedia and introduces several dimensions of classification of AH systems, methods and techniques and describes the most important of them.
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.
Book

Human-Machine Reconfigurations: Plans and Situated Actions

Lucy Suchman
TL;DR: Figuring the human in AI and robotics: Demystifications and re-enchantments of the human-like machine examines the role of language in the development of artificial intelligence and robotics.
References
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Journal ArticleDOI

Tutoring rules for guiding a case method dialogue

TL;DR: This paper describes the rule-based formalism used by MYCIN-like programs, and argues that these programs are not sufficient in themselves as teaching tools, and claims that it is desirable to represent teaching expertise explicitly, using a flexible framework that makes it possible to easily modify tutorial strategies and communicate them to other researchers.
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Usefulness of analogous solutions for solving algebra word problems.

TL;DR: Quatre experiences etudient, chez des eleves d'un cours d'algebre, la possibilite d'utiliser les solutions de differents problemes pour resoudre d'autres problemes appartenant a la meme categorie as mentioned in this paper.
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Optimizing the Learning of a Second-Language Vocabulary.

TL;DR: Four optimization strategies are proposed and evaluated experimentally to optimize the learning of a large German-English vocabulary; these strategies are computer controlled and take account of S's response history in making decisions about which items to present next.
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The acquisition of procedures from text: A production-system analysis of transfer of training

TL;DR: Apparently, this transfer mechanism acts on declarative propositional representations of the production rules, suggesting that it is more similar to comprehension processes than to conventional practice mechanisms, or to Anderson’s learning principles.
Journal ArticleDOI

Discrimination of operator schemata in problem solving: Learning from examples

TL;DR: The failure to find evidence for unconscious learning is evidence against the automatic discrimination mechanism proposed in ACT ∗ .