Integrating explicit problem-solving teaching into activemath, an intelligent tutoring system

Abstract

Intelligent tutoring systems are now a part of industrial and education learning systems designed with reasonable adaptation ability to the learner's or user's background and progressive achievement. Because of the various advantages of these systems attempts are made to incorporate problem solving skill impartation abilities for learners. This has been necessitated by the transition, in the past few decades, from an industrial to an information society. This change has brought the need for a new set of skills in the workplace, including the ability to solve problems. This paper describes an adapted version of ActiveMath, which explicitly teaches problem solving to students using the House Model framework. Results show the technique does contribute to improving the problem solving skills of learners.