Title :
Incorporating a guided problem-solving method into ActiveMath using the House Model and logistic Regression
Author :
Pholo, Diana ; Ngwira, Seleman
Author_Institution :
Tshwane Univ. of Technol., Tshwane, South Africa
Abstract :
In the past few decades, our world has changed 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. Introducing technology in education is one response to this reform. Intelligent tutoring systems are one form of e-learning. They are designed to reasonably adapt to each learner or user based on their 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 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 improve the problem solving skills of learners.
Keywords :
intelligent tutoring systems; mathematics computing; problem solving; ActiveMath; e-learning; education technology; guided problem-solving method; house model; intelligent tutoring system; logistic regression; skill impartation ability; Electronic learning; Logistics; Mathematical model; Problem-solving; ActiveMath; Guided Problem-Solving; Intelligent Tutoring Systems;
Conference_Titel :
IST-Africa Conference Proceedings, 2014
Conference_Location :
Le Meridien Ile Maurice
Print_ISBN :
978-1-905824-43-4
DOI :
10.1109/ISTAFRICA.2014.6880633