How Big Data can influence tertiary education curriculum to increase employability rates
thesisposted on 28.03.2022, 16:12 authored by Hijab Alavi
This research project seeks to examine the current tertiary educational curriculum and identifying its limitations through the adaptation of Big Data in the educational review process. This will not only identify the current problems with the educational curriculum but also assist in creating new strategies to improve it. The aim of this research project is to enhance the current educational program to increase the employability rates for graduates by matching the requirements of the workforce. This research project aims to deploy new strategies in-order to improve current limitations, thus ensuring maximum employability rates are accomplished post-tertiary education. The full-time employability rate for those with undergraduate degrees in New South Wales (NSW) has decreased since 2008 (Singhal, 2019), which demonstrates how competitive the current employability world is and the importance of why educational curriculum needs to be kept up to date on what is taught. Thus, the adoption of Big Data in the review process of curriculum can assist in ensuring that institutions are kept up to date, and graduates are work-ready.