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How Big Data can influence tertiary education curriculum to increase employability rates

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thesis
posted 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.

History

Table of Contents

1 Introduction -- 2 Background -- 3 Project Aims -- 4 Significance -- 5 Literature Review -- 6 Methodology -- 7 Results -- 8 Discussion -- 9 Conclusion.

Notes

Theoretical thesis. Bibliography: pages 52-59

Awarding Institution

Macquarie University

Degree Type

Thesis MRes

Degree

MRes, Macquarie University, Faculty of Science and Engineering, Department of Computing

Department, Centre or School

Department of Computing

Year of Award

2019

Principal Supervisor

Stephen Smith

Rights

Copyright Hijab Alavi 2019 Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (71 pages) illustrations

Former Identifiers

mq:72080 http://hdl.handle.net/1959.14/1281177