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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
Wei, Chun-Wang; Hung, I-Chun; Lee, Ling; Chen, Nian-Shing – Turkish Online Journal of Educational Technology - TOJET, 2011
This research demonstrates the design of a Joyful Classroom Learning System (JCLS) with flexible, mobile and joyful features. The theoretical foundations of this research include the experiential learning theory, constructivist learning theory and joyful learning. The developed JCLS consists of the robot learning companion (RLC), sensing input…
Descriptors: Foreign Countries, Educational Strategies, Constructivism (Learning), Experiential Learning
Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Hord, Casey – International Working Group on Educational Data Mining, 2009
This paper proposes a learning based method that can automatically determine how likely a student is to give a correct answer to a problem in an intelligent tutoring system. Only log files that record students' actions with the system are used to train the model, therefore the modeling process doesn't require expert knowledge for identifying…
Descriptors: Programming, Evidence, Intelligent Tutoring Systems, Regression (Statistics)

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