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Mitrovic, Antonija; Ohlsson, Stellan; Barrow, Devon K. – Computers & Education, 2013
Tutoring technologies for supporting learning from errors via negative feedback are highly developed and have proven their worth in empirical evaluations. However, observations of empirical tutoring dialogs highlight the importance of positive feedback in the practice of expert tutoring. We hypothesize that positive feedback works by reducing…
Descriptors: Tutoring, Feedback (Response), Tutors, Intelligent Tutoring Systems
Arnau, David; Arevalillo-Herraez, Miguel; Puig, Luis; Gonzalez-Calero, Jose Antonio – Computers & Education, 2013
Designers of interactive learning environments with a focus on word problem solving usually have to compromise between the amount of resolution paths that a user is allowed to follow and the quality of the feedback provided. We have built an intelligent tutoring system (ITS) that is able to both track the user's actions and provide adequate…
Descriptors: Intelligent Tutoring Systems, Computer System Design, Word Problems (Mathematics), Problem Solving
Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels – Computers & Education, 2013
Intelligent tutoring systems (ITS) support students in learning a complex problem-solving skill. One feature that makes an ITS architecturally complex, and hard to build, is support for strategy freedom, that is, the ability to let students pursue multiple solution strategies within a given problem. But does greater freedom mean that students…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Algebra, Mathematics Instruction
Peer reviewedvan Biljon, Judy A.; Tolmie, C. Janse; du Plessis, Johan P. – Computers & Education, 1999
Discussion of ICAE (Intelligent Computer Aided Education) systems focuses on Magix, a prototype ICAE system for use in problem-based learning in linear mathematics for 10- to 12-year olds. The system integrates the principles of constructivism, user-driven interaction, knowledge-based systems, and metacognition. (Author/LRW)
Descriptors: Constructivism (Learning), Expert Systems, Intelligent Tutoring Systems, Intermediate Grades
Peer reviewedDu Plessis, Johan P.; And Others – Computers & Education, 1995
Proposes a model for intelligent computer-aided education systems that is based on cooperative learning, constructive problem-solving, object-oriented programming, interactive user interfaces, and expert system techniques. Future research is discussed, and a prototype for teaching mathematics to 10- to 12-year-old students is appended. (LRW)
Descriptors: Computer Assisted Instruction, Computer Interfaces, Constructivism (Learning), Cooperative Learning

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