Research institution via Z to A based graphs

Atif, Amin Baig and Hassan Basri, Mukhali and Khairi, Che Mat and Mohd Khairi, Zahri@Johari and Nordin, Simbak (2017) Research institution via Z to A based graphs. Research Journal of Pharmacy and Technology, 10 (12). pp. 62-63. ISSN 0974-3618

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Research institution is a complex and highly advance process including the higher order thinking, targeting the teaching, learning, training, research and development and productivity of the academicians, researchers, management teams and coordinating staff at all levels of institutional policies to the level of postgraduate integrity. The entire process is not well understood mainly because of poor life/work balance of the staff to be involved in learning and enhancing the tips and skills involved as per global standards. Z to A type of approach is well considered for a better productivity for a baseline knowledge beside least resources and time in this era of blue ocean strategy to be aligned with competitors and collaborators. Here, we explain a new method based on educating the staff and postgraduates via graphical presentations using fractions, percentages and rates beside basic mathematical interventions for summarizing the basic concepts to be motivational and productive. A total of 300 individuals in three countries were tested via online tool for the specificity, sensitivity and comparison of our electronic graphs via social media as compare to traditional methods. Results showed that the 91% of the subjects were highly satisfied with the level of knowledge, awareness and use of that knowledge without any contact hour based teachings. To the best of our knowledge, this is the first time we have been using this tool based on Z to A type of research institution and laboratory education, under blue ocean based strategic planning.

Item Type: Article
Uncontrolled Keywords: Research institution, e-learning in Malaysia, metacognition and teaching, blue ocean strategy, teaching through graphs.
Subjects: L Education > L Education (General)
Divisions: Faculty of Medicine
Depositing User: Fatin Safura
Date Deposited: 06 Mar 2022 02:53
Last Modified: 06 Mar 2022 02:53

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