The effect of using an interactive multimedia courseware within a collaborative learning environment on the learning of pre-algebra concepts among pre-university engineering students

Khalid, Mohd Sazali and Alias, Maizam and Razally, Wahid and Yamin, Sulaiman and Herawan, Tutut (2010) The effect of using an interactive multimedia courseware within a collaborative learning environment on the learning of pre-algebra concepts among pre-university engineering students. Procedia - Social and Behavioral Sciences, 8 . ISSN 18770428

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Official URL: http://dx.doi.org/10.1016/j.sbspro.2010.12.079

Abstract

Students enrolled into an engineering programme are expected to have good grasps of mathematical concepts and procedures as mastery of mathematics is essential to succeed in engineering based programmes. However, many new engineering students do not possess adequate mathematical skills and as a consequence, engineering teachers often have to spend time on remedial work in the first two semesters of the programme which is counter productive for all. Even with remediation, the outcome is not always satisfactory. To enhance the effectiveness of our teaching and learning efforts we tested the use of a blended teaching and learning method (CDiCL) where a specifically designed courseware based on the Herman Brain Dominance theory was used within a collaborative learning environment. The courseware provides opportunities for individually paced drill and practice while the collaborative learning environment provided opportunities for social learning support from peers. We compared the CDiCl method to three other methods, namely using the courseware only (CD), using collaborative method only (CL) and using the conventional method. We found out that the CDiCL group performs similarly to the CD group but was superior to the CL group. Affective factors like attitude and motivation played major roles towards this outcome.

Item Type:Article
Uncontrolled Keywords:mathematics;pre-algebra; hermann Brain Dominance Model;collaborative learning
Subjects:Q Science > QA Mathematics > QA75 Calculating machines
Divisions:Faculty of Science Computer and Information Technology > Department of Software Engineering
ID Code:3095
Deposited By:En. Muhamad Saufi Che Rusuli
Deposited On:05 Mar 2013 14:24
Last Modified:05 Mar 2013 14:24

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