Harnessing Students’ Conceptual Understanding for Authentic Data Analytics Skills: Envisioning Malaysian Supply and Demand
Keywords:authentic learning, conceptual understanding, data analytics
The emergence of Data Science driven by the need to deal with data systematically and intelligently puts modern statistical practice as an important weapon. In line with the development of Data Science, the rebranding of statistics education took place in institutions of higher learning that used new labels such as data analytics courses to replace the old name of statistics courses. The objective of this paper is to highlight the implementation of teaching and learning of data analytics on three issues namely the development of the field of data analytics in the country, the challenges of implementing data analytics teaching and learning at the tertiary level and the direction of data analytics teaching and learning. Based on the shift in the paradigm of data analytics pedagogy to practical and interactive integration of conceptual understandings, recommendations for the teaching and learning of data analytics are discussed.
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