DocumentCode
1785942
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
fYear
2014
fDate
7-9 May 2014
Firstpage
1
Lastpage
8
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;
fLanguage
English
Publisher
ieee
Conference_Titel
IST-Africa Conference Proceedings, 2014
Conference_Location
Le Meridien Ile Maurice
Print_ISBN
978-1-905824-43-4
Type
conf
DOI
10.1109/ISTAFRICA.2014.6880633
Filename
6880633
Link To Document