Virtual Visualisation Laboratory for Science and Mathematics Content (Vlab-SMC) with special reference to teaching and learning of chemistry

Halimah Badioze Zaman, Norashiken Bakar, Azlina Ahmad, Riza Sulaiman, Haslina Arshad, Nor Faezah Nor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Research on the teaching of science and mathematics in schools and universities have shown that available teaching models are not effective in instilling the understanding of scientific and mathematics concepts, and the right scientific and mathematics skills required for learners to become good future scientists (mathematicians included). The extensive development of new technologies has a marked influence on education, by facilitating the design of new learning and teaching materials, that can improve the attitude of learners towards Science and Mathematics and the plausibility of advanced interactive, personalised learning process. The usefulness of the computer in Science and Mathematics education; as an interactive communication medium that permits access to all types of information (texts, images, different types of data such as sound, graphics and perhaps haptics like smell and touch); as an instrument for problem solving through simulations of scientific and mathematics phenomenon and experiments; as well as measuring and monitoring scientific laboratory experiments. This paper will highlight on the design and development of the virtual Visualisation Laboratory for Science & Mathematics Content (VLab-SMC) based on the Cognitivist- Constructivist-Contextual development life cycle model as well as the Instructional Design (ID) model, in order to achieve its objectives in teaching and learning. However, this paper with only highlight one of the virtual labs within VLab-SMC that is, the Virtual Lab for teaching Chemistry (VLab- Chem). The development life cycle involves the educational media to be used, measurement of content, and the authoring and programming involved; whilst the ID model involves the application of the cognitivist, constructivist and contextual theories in the modeling of the modules of VLab-SMC generally and Vlab-Chem specifically, using concepts such as 'learning by doing', contextual learning, experimental simulations 3D and real-time animations to create a virtual laboratory based on a real laboratory. Initial preliminary study shows positive indicators of VLab-Chem for the teaching and learning of Chemistry on the topic of 'Salts and Acids'.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages356-370
Number of pages15
Volume5857 LNCS
DOIs
Publication statusPublished - 2009
Event1st International Visual Informatics Conference, IVIC 2009 - Kuala Lumpur
Duration: 11 Nov 200913 Nov 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5857 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Visual Informatics Conference, IVIC 2009
CityKuala Lumpur
Period11/11/0913/11/09

Fingerprint

Chemistry
Teaching
Visualization
Instructional Design
Life Cycle
Life cycle
Virtual Laboratory
Education
Science Education
Authoring
Haptics
Mathematics Education
Animation
Learning Process
Salt
Model
Experiment
Learning
Simulation
Programming

Keywords

  • Chemistry Teaching and Learning
  • Virtual laboratory
  • Virtual Learning
  • Visualization laboratory

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Badioze Zaman, H., Bakar, N., Ahmad, A., Sulaiman, R., Arshad, H., & Nor, N. F. (2009). Virtual Visualisation Laboratory for Science and Mathematics Content (Vlab-SMC) with special reference to teaching and learning of chemistry. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5857 LNCS, pp. 356-370). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5857 LNCS). https://doi.org/10.1007/978-3-642-05036-7_34

Virtual Visualisation Laboratory for Science and Mathematics Content (Vlab-SMC) with special reference to teaching and learning of chemistry. / Badioze Zaman, Halimah; Bakar, Norashiken; Ahmad, Azlina; Sulaiman, Riza; Arshad, Haslina; Nor, Nor Faezah.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5857 LNCS 2009. p. 356-370 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5857 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Badioze Zaman, H, Bakar, N, Ahmad, A, Sulaiman, R, Arshad, H & Nor, NF 2009, Virtual Visualisation Laboratory for Science and Mathematics Content (Vlab-SMC) with special reference to teaching and learning of chemistry. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5857 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5857 LNCS, pp. 356-370, 1st International Visual Informatics Conference, IVIC 2009, Kuala Lumpur, 11/11/09. https://doi.org/10.1007/978-3-642-05036-7_34
Badioze Zaman H, Bakar N, Ahmad A, Sulaiman R, Arshad H, Nor NF. Virtual Visualisation Laboratory for Science and Mathematics Content (Vlab-SMC) with special reference to teaching and learning of chemistry. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5857 LNCS. 2009. p. 356-370. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-05036-7_34
Badioze Zaman, Halimah ; Bakar, Norashiken ; Ahmad, Azlina ; Sulaiman, Riza ; Arshad, Haslina ; Nor, Nor Faezah. / Virtual Visualisation Laboratory for Science and Mathematics Content (Vlab-SMC) with special reference to teaching and learning of chemistry. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5857 LNCS 2009. pp. 356-370 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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