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The Taxonomical Analysis of Science Educational Software in Malaysian Smart Schools

Ahmad Hanizar A Halim, and Muhammad Z.M. Zain, and Wong, Su Luan, and Hanafi Atan, (2005) The Taxonomical Analysis of Science Educational Software in Malaysian Smart Schools. Malaysian Online Journal of Instructional Technology (MOJIT), 2 (2). pp. 106-113. ISSN 1823-1144

Full text not available from this repository.

Official URL: http://pppjj.usm.my/mojit/articles/pdf/August05/10-Atan-taxonomical%20analysis.pdf

Affiliations

Universiti Sains Malaysia. School of Distance Education
University of Cardiff. School of Social Science
Universiti Putra Malaysia. Faculty of Educational Studies

Abstract

The taxonomical study related to the pedagogical, communication and media dimensions of the interactive teaching-learning science educational courseware that is currently being utilised in the Malaysian Smart Schools is reported. The pedagogical and communicative dimensions studied included aspects of the instructional configuration, the instructional model, cognitive processes, and loci of control, learning resources, evaluation, interactive types of teaching, feedback and help functions. The extent of media utilisation such as texts, images, interactive images, animation and sound was also studied. The results revealed that the instructional configuration of the courseware was predominantly in the form of individual instruction rather than in the preferred collaborative learning format. The instructional means most widely deployed was the information-based mode with a low level utilisation of the favoured inquiry-based mode of teaching. The interactive types of teaching deployed were mostly in the form of multiple choice questions and simple activities with very minimal utilisation of online tools and/or consultation with the experts. The cognitive processes utilised were mostly information retrieval and memorising and involved the minimal usage of problem solving, decision making, creation and invention possibilities inherent in the courseware. The media analysis revealed that a combination of texts, images, interactive images, animation and sound was incorporated into the courseware to make learning interesting.

Item Type:Journal
Subjects:Q Science
T Technology
L Education
ID Code:1663

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