Shaveen Singh

BSc (USP) | MSc (USP) | GradCert Tertiary Teaching (USP) | PhD (Monash)

I am a Lecturer in the School of Computer Science and Engineering (CSE) at UNSW Sydney. My research lies at the intersection of learning analytics, human-computer interaction (HCI), and educational technology, with a particular focus on computational methods and information visualisation techniques for understanding how students learn and regulate their learning. I also draw on HCI and software engineering methods to design and develop educational technologies that enhance digital learning experiences. Prior to joining UNSW, I was a Research Fellow at Monash University's Centre for Learning Analytics at Monash (CoLAM) , working with Professor Dragan Gaลกeviฤ‡ . At CoLAM, I contributed to several research initiatives, including FLoRA, KMASS, and Data Analytics-Based Tools and Methods to Enhance Self-Regulated Learning . My broader research interests span learning analytics, self-regulated learning, educational psychology, behavioural analytics, predictive modelling, information visualisation, HCI, computer science education, and curriculum design.

I completed my PhD in Information Technology at Monash University under the supervision of Prof. Bernd Meyer and Assoc. Prof. Michael Wybrow. My doctoral research investigated how rich trace data capturing students' learning journeys and pathways can be explored through interactive visual interfaces, enabling educators to better understand learning behaviours, evaluate instructional design, and address complex educational needs.

My academic and professional experience spans more than a decade, with interests centred on data analytics, computational modelling, information visualisation, and the design and deployment of technologies for teaching and learning. I hold Bachelor's and Master's degrees in Computer Science from The University of the South Pacific in Fiji. Before pursuing an academic career, I worked as a Business Analyst – Finance & IT for a major regional food company operating across manufacturing, distribution, marketing, and sales in the Asia-Pacific region.

Contact:    |   Resume |  Google Scholar |  ORCiD |       

 

Awards & Recognition ๐Ÿ†

2025 Best Demo Award โ€” Polyfeed: A Student-facing Feedback Analytics Tool to Facilitate Feedback Processes , 15th International Conference on Learning Analytics & Knowledge (LAK25).
2024 Nominee, Vice-Chancellor's Excellence Awards โ€” Research Team of the Year โ€” Centre for Learning Analytics at Monash (CoLAM) . Team recognition.
2024 Winner, FIT Dean's Research Team of the Year Award โ€” Centre for Learning Analytics at Monash (CoLAM) . Team award.
2022 Runner-up, Best Full Paper Award โ€” Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources , 12th International Conference on Learning Analytics & Knowledge (LAK22).
2022 Finalist, R&D Excellence Award โ€” Smart Linings for Pipe and Infrastructure , Australian Water Association (Victoria Branch). Project recognition.
2021 International Recognition โ€” FLoRA project featured in the annual EDUCAUSE Horizon Report . Project recognition.
2020 Runner-up, Best Full Paper Award โ€” UserFlow: A Tool for Visualising Fine-grained Contextual Analytics in Teaching Documents , ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE 2020).
2019 AIED Conference Scholarship โ€” awarded to attend the 20th International Conference on Artificial Intelligence in Education (AIED 2019), Chicago, USA.
2017 Honourable Mention, Project Award (2nd Place) โ€” Australian Summer School on Data Visualization ( SummerViz 2017 ).
2016 Merit-Based Tuition Scholarship โ€” Faculty of Information Technology, Monash University.
2016 Monash Graduate Scholarship (PhD) โ€” Monash University.

 


Selected Research & Software Projects (view all)

Research, EdTech & Industry Projects


MPEP — Monash Pipe Evaluation Platform
Research Assistant & Developer · Mar 2020 – Nov 2021
Designed and developed MPEP, an industry-facing decision-support platform for assessing pipe failure risk, evaluating pipe condition, recommending suitable liner technologies, and estimating the expected service life of rehabilitated pipes. I contributed to the UI design, full-stack development, testing, and deployment of the platform to the Water Services Association of Australia (WSAA) infrastructure. MPEP was a key research translation deliverable of the Australian Government-funded CRC-P Smart Linings for Pipe and Infrastructure Project.
Recognition: The Smart Linings project was a Finalist for the 2021 R&D Excellence Award, presented by the Australian Water Association (Victoria Branch).

Project Overview · MPEP Platform · Project Report · Video · Demos

 

FLoRA — Personalised Support for Self-Regulated Learning
Researcher & Lead Developer, FLoRA v1.0 · Jun 2020 – Jun 2022
Led the development of FLoRA, a research platform designed to investigate and support students' self-regulated learning through personalised scaffolds and learning analytics. The international project involved Monash University, Radboud University, the University of Edinburgh, and the Technical University of Munich. FLoRA was deployed across five countries and used by 2,000+ students.
Recognition: Selected for the 2021 EDUCAUSE Horizon Report as one of six technologies and practices identified from 141 nominations as having significant potential to influence the future of higher education teaching and learning.

Project Website · FLoRA Platform · News Coverage

 

LearnerFlow — Instructor-Facing Learning Analytics Dashboard
Researcher & Lead Developer · 2018 – 2020
Designed and developed LearnerFlow as part of my doctoral research to help educators explore fine-grained student interaction data and evaluate learning designs through interactive visual analytics. The platform was piloted across two Monash University courses involving approximately 1,500 students, providing instructors with insights into students' learning pathways and interactions with digital learning resources.
Recognition: Research arising from this project received a Runner-up Best Full Paper Award at ACM ITiCSE 2020.

Project Website · Publication

 

Early Warning System (EWS) — Learning Analytics for Student Support
Researcher, Conceptualisation & Developer (v1.0) · 2013 – 2014
Conceptualised and developed the first version of an Early Warning System (EWS) as part of my Master's research at the University of the South Pacific. The system used student trace data to identify early indicators of academic risk and support timely interventions. The system was subsequently implemented across 16 courses involving 3,500+ students at USP between 2013 and 2016.
Research Impact: The implementation and impact of the project were subsequently reported in Studies in Higher Education .

Project Website · Features · VC Forum Presentation

 


Work Experience


Jul 2025 - Now University of New South Wales, Sydney, Australia
  Lecturer - School of Computer Science and Engineering (CSE), UNSW Sydney
Jun 2020 - Jun 2025 Monash University, Melbourne, Australia
  Research Fellow - Centre of Learning Analytics, Faculty of Information Technology
Mar 2020 - Nov 2021 Monash University, Melbourne, Australia
  Research Assistant/Developer (Part-time) - Department of Civil Engineering
Jul 2017 - Jun 2020 Monash University, Melbourne, Australia
  Sessional Lecturer [FIT5211, FIT5145, FIT1043], Faculty of Information Technology
Feb 2016 - Nov 2019 Monash University, Melbourne, Australia
  Teaching Associate, Faculty of Information Technology
Jul 2011 - Jan 2016 The University of the South Pacific, Suva, Fiji Islands
  Subject Coordinator - School of Computing, Information & Mathematical Sciences
Mar 2006 - Jun 2011 The University of the South Pacific, Suva, Fiji Islands
  Tutor in CS/IS - School of Computing, Information & Mathematical Sciences
Dec 2004 - Mar 2006 Goodman Fielder International (Fiji) Ltd
  Business Analyst - Finance & IT

 


Curriculum, Assessment & Educational Innovation


1. National Curriculum Development — Fiji Ministry of Education

Role: National Curriculum Working Committee Member & Textbook Co-author

Appointed to the National Curriculum Working Committee to contribute to the review and development of the Year 11 and Year 12 Computer Studies curriculum for Fiji secondary schools. The role included curriculum review and co-authoring the national Computer Studies textbooks published by the Ministry of Education.

Computer Studies Year 12 Textbook Computer Studies — A Textbook for Year 12
Sharma, B. N., Singh, S., Prasad, V., Hussain, R., Togavou, V., Sovakiwai, P., & Rawaico, I.
Ministry of Education, Fiji, 2014.

Repository · Author Credit · Online Copy

 

Computer Studies Year 11 Textbook Computer Studies — A Textbook for Year 11
Sharma, B. N., Singh, S., Prasad, V., Sovakiwai, P., & Hussain, R.
Ministry of Education, Fiji, 2013.

Repository · Author Credit · Online Copy

 

2. Digital Learning & Online Course Development

Python Course Introductory Python & Data Visualisation Course
Shaveen Singh
Designed and developed a collection of hands-on learning materials for teaching Python programming and data visualisation, with content progressing from introductory to intermediate concepts.
Components of the learning materials were also used during my doctoral research to support studies involving student learning behaviours and computational modelling.


Course Library

 

3. Research Skills Development (RSD) in Assessment Design

Research Skills Development University Exemplar — Research Skills Development in Assessment
Shaveen Singh
Integrated the Research Skills Development (RSD) framework across the major assessments of UU100: Communication and Information Literacy at the University of the South Pacific.
The assessment design explicitly embedded research skill development throughout the course, enabling students to progressively develop and demonstrate research capabilities through their assessed work.

Recognition: The course was selected as one of four model courses at USP for its implementation of the RSD framework.

RSD Implementation · VC Forum Presentation

 

4. Industry-Based & Work-Integrated Learning

Industry-Based Learning Industry–Academia Partnership & Work-Integrated Learning
Shaveen Singh
Led the design and implementation of an industry-based learning initiative at the University of the South Pacific for the newly introduced Bachelor of Software Engineering and Bachelor of Net-Centric Computing programmes. Designed CS001: Foundation of Professional Practice, incorporating portfolio-based assessment and a 12-week industry mentorship programme to provide students with authentic professional experience. The initiative involved developing assessment criteria, terms of reference, industry partnerships, training workshops, and course coordination. The curriculum was aligned with professional expectations informed by the Australian Computer Society (ACS) and the Skills Framework for the Information Age (SFIA) .

Impact: The initiative contributed to embedding work-integrated learning and professional skills development within the two computing degree programmes, which subsequently achieved ACS accreditation.

Project Paper · ACS Accreditation

 

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