Data Analysis for Curriculum Alteration in Information Communication Technology

被引:2
作者
Kirwan, Ryan Fraser [1 ]
Jain, Nisha [1 ]
Balachandran, Vivek [1 ]
机构
[1] Singapore Inst Technol, InfoComm Technol, Singapore, Singapore
来源
IEEE TALE2021: IEEE INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND EDUCATION | 2021年
关键词
curriculum alteration; data analysis; ICT;
D O I
10.1109/TALE52509.2021.9678626
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Maintaining a curriculum that produces industry-ready graduates in the dynamic and growing field of Information Communication Technology (ICT) requires rigorous and regular reassessment. In this paper, we present a data-driven approach for curriculum augmentation that leverages on the wealth of information already provided by industry, through the projects they propose to our students. We showcase an industry-focused approach to collect data for improving the curriculums of the ICT specializations of software engineering and information security. We use Singapore Institute of Technology's (SIT) Integrative Team Project (ITP) module to gather data on the industry's latest technology and current problems. This data is parsed and processed to evidence curriculum changes based on actual workplace needs from Singapore's ICT companies. The aim for this paper is to provide a case-study for curriculum alteration that aids in the inculcation of industry-ready graduates.
引用
收藏
页码:513 / 518
页数:6
相关论文
共 21 条
[1]  
A. o. I. S. Professionals, 2019, INF SEC BOD KNOWL
[2]  
Acharaya Ashwin, 2019, Chinese Public AI RD Spending: Provisional Findings, DOI [10.51593/20190031, DOI 10.51593/20190031]
[3]  
Ammanath B., 2020, THRIVING ERA PERVASI, V3rd
[4]  
[Anonymous], 2021, SINGAPORE
[5]  
Balachandran V. a. M., 2021, 11 ACM C DATA APPL S
[6]  
Bourque P., 2014, GUIDE SOFTWARE ENG B
[7]   From Robotic Process Automation to Intelligent Process Automation - Emerging Trends [J].
Chakraborti, Tathagata ;
Isahagian, Vatche ;
Khalaf, Rania ;
Khazaeni, Yasaman ;
Muthusamy, Vinod ;
Rizk, Yara ;
Unuvar, Merve .
BUSINESS PROCESS MANAGEMENT: BLOCKCHAIN AND ROBOTIC PROCESS AUTOMATION FORUM, BPM 2020 BLOCKCHAIN AND RPA FORUM, 2020, 393 :215-228
[8]  
Chang W.-L. S, 2013, INT C SOCIAL ROBOTIC
[9]  
E. Commission, KNOWLEDGE4POLICY 02
[10]   A survey of deep learning techniques for autonomous driving [J].
Grigorescu, Sorin ;
Trasnea, Bogdan ;
Cocias, Tiberiu ;
Macesanu, Gigel .
JOURNAL OF FIELD ROBOTICS, 2020, 37 (03) :362-386