Cognitive Visual Support Design for Efficient Data Analytics Learning Based on Meaningful Reception Learning Theory
Hairulliza Mohamad Judi1, Zanaton H Iksan2, Noraidah Sahari Ashaari3
1Hairulliza Mohamad Judi, Faculty of Technology, Sains Maklumat, University Kebangsaan Malaysia.
2Zanaton H Iksan, Faculty of Technology, Sains Maklumat, University Kebangsaan Malaysia.
3Noraidah Sahari Ashaari, Faculty of Technology, Sains Maklumat, University Kebangsaan Malaysia.
Manuscript received on 01 February 2019 | Revised Manuscript received on 07 February 2019 | Manuscript Published on 13 February 2019 | PP: 194-198 | Volume-8 Issue- 4S February 2019 | Retrieval Number: DS2859028419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Among the main issues in data analytics learning relate to in-depth understanding and concept integration. Meaningful reception learning theory demonstrates cognitive visual tools to organize knowledge by linking new information with existing concepts in strong cognitive structure. This study describes essential characteristic in data analytics and request a cognitive visual model to appreciate literature performance. The study applies meaningful reception learning theory by contributing users with three character of instructional arrangement as visual cognitive support to build strong understanding structure i.e. active, collaborative and constructive. The model is expected to help instructors in systematically constructing data analytics component for efficient learning.
Keywords: Cognitive Visual tools, data Analytics, Collaborative, Constructive.
Scope of the Article: Evaluation of Glazing Systems for Energy Performance