• Source: Scopus
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Personal profile

Research interests

I am interested in the use of labour market's skill language in presenting different educational objects (course, subject, student's profile, etc) and explore their relationships. To do that, I use an intersection of data science, skills analytics, and information retreival techniques on different types of dataset (educational, labor insights, demographic, occupational, etc) which help with problems that higher education faces such as curriculum skill gaps, higher education skill-based course recommendation system, and graduate-employability.


I completed my BSc in Computer Science followed by Masters in Information Technology and Doctoral degree in Software Engineering with a thesis entitled "Novice Programmer and Data Analytics". Primary objective of my PhD program was to quantify the strength of machine learning algorithms and data mining techniques to help us better understand how novice programmer learning to code. After completing my PhD, I was working as a postdoc research fellow at Macquarie university. The goal of that program was to explore the application of text mining and natural language processing in automating the analysis of students text data in Learning Management Systems. In addition, that project was heavily focused on exploration of technology-enhanced pedagogy and how technology can enable a smoother learning environment for both the educators and learners. At the moment, I'm working in Skills Analytics area where EMSI-Burning Glass occupational data and labour insights are used to automate analysis of curriculum, job market data, and students profiles.

Research engagement

Please see https://github.com/aahadi for more information.


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