Malgorzata Korolkiewicz

Teaching Strengths

Statistics
Data Visualisation
Data Science
Financial mathematics

Dr Malgorzata Korolkiewicz

Senior Lecturer

School of Mathematical Sciences

College of Sciences

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

I am a senior lecturer in Mathematical Sciences and the Program Director for the Master of Statistics and the Bachelor of Data Analytics (Online). I joined UniSA after completing a PhD in Finance in Canada. My research interests include mathematical finance, risk management, environmental modelling, as well as data analytics and challenges posed by Big Data.
I am a high-quality teacher who is particularly interested in developing students’ statistical thinking and providing them with the skills needed to derive insights from data, including Big Data. I am also interested in online education and learning analytics.
Member of C3L - Centre for Change and Complexity of Learning - researching human and artificial cognition and knowledge processes.
Member of HERN - Higher Education Research Network - Transforming higher education research. Empowering futures. Together.

Big Data Analytics,Mathematical Finance,Derivatives Markets,Credit Risk,Environmental modelling,Learning analytics

Year Citation
2026 Azad, A., Kovanovic, V., Korolkiewicz, M., Zamecnik, A., Joksimovic, S., & Cukurova, M. (2026). An unobtrusive approach to modelling team cohesion and collaboration in ecological classroom settings. Learning and Instruction, 101(102268), 11 pages.
DOI
2025 Korolkiewicz, M., Fewster Young, N., Marmolejo Ramos, F., Gabriel, F., Kariuki, P., Puga, J. L., . . . Garcia, A. M. R. R. (2025). Fear of the unknown: relationship between statistics anxiety and attitudes toward statistics of university students in three countries. Teaching Statistics, 47(1), 17-38.
DOI Scopus1
2025 Marmolejo Ramos, F., Marrone, R., Korolkiewicz, M., Gabriel, F., Siemens, G., Joksimovic, S., & Tejada, J. (2025). Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment. Frontiers in Artificial Intelligence, 7(1465605.), 1-16.
DOI Scopus8 WoS6
2025 Kennedy, J., Gabriel, F., Korolkiewicz, M., Rets, I., & Rienties, B. (2025). Editorial: actionable learning analytics in education: an opportunity to close the learning loop. Frontiers in Education, 10, 1-3.
DOI Scopus1
2023 Fowler, S., Korolkiewicz, M., & Marrone, R. (2023). First 100 days of ChatGPT at Australian Universities An analysis of policy landscape and media discussions about the role of AI in Higher Education. Journal of Learning Letters, 1(1), 1-8.
DOI
2012 van der Hoek, J., & Korolkiewicz, M. (2012). Using real property option valuation methods when market data is not available. Pacific rim property research journal, 18(3), 293-312.
DOI
2012 Korolkiewicz, M. W. (2012). A dependent hidden Markov model of credit quality. International journal of stochastic analysis, 2012(719237), 1-13.
DOI Scopus4
2012 Ward, K., Korolkiewicz, M., & Boland, J. (2012). Correlative coherence modelling of South Australian wind farms. Renewable energy, 52, 154-159.
DOI Scopus1
2012 Huang, J., Korolkiewicz, M., Agrawal, M., & Boland, J. (2012). Forecasting solar radiation on an hourly time scale using a coupled autoregressive and dynamical system (CARDS) model. Solar energy, 87(1), 136-149.
DOI Scopus211 WoS184
2008 Korolkiewicz, M., & Elliott, R. (2008). A hidden Markov model of credit quality. Journal of Economic Dynamics and Control, 32(12), 3807-3819.
DOI Scopus27 WoS22

Year Citation
2022 Bogomolov, T., Korolkiewicz, M. W., & Bogomolova, S. (2022). Identifying patterns in fresh produce purchases: the application of machine learning techniques. In Source details - Title: Research Anthology on Machine Learning Techniques, Methods, and Applications (pp. 817-847). US: IGI Global.
DOI
2021 Chiera, B., Korolkiewicz, M., & Schultz, L. (2021). Learning from learning analytics: how much do we know about patterns of student engagement?. In T. Prodromou (Ed.), Source details - Title: Big Data in Education: Pedagogy and Research. Policy Implications of Research in Education (pp. 163-197). Switzerland: Springer.
DOI
2020 Bogomolov, T., Korolkiewicz, M. W., & Bogomolova, S. (2020). Identifying patterns in fresh produce purchases: the application of machine learning techniques. In F. P. G. Marquez (Ed.), Source details - Title: Handbook of Research on Big Data Clustering and Machine Learning (pp. 378-408). US: IGI-Global.
DOI
2018 Chiera, B. A., & Korolkiewicz, M. W. (2018). Teaching Visualisation in the Age of Big Data: Adopting Old Approaches to Address New Challenges. In Web Services Concepts Methodologies Tools and Applications (pp. 1146-1165). IGI Global.
DOI
2017 Chiera, B., & Korolkiewicz, M. (2017). Teaching visualisation in the age of big data: adopting old approaches to address new challenges. In T. Prodromou (Ed.), Source details - Title: Data visualization and statistical literacy for open and big data (pp. 103-125). US: IGI Global.
DOI Scopus2
2017 Chiera, B. A., & Korolkiewicz, M. W. (2017). Visualizing big data: everything old is new again. In F. P. G. Márquez, & B. Lev (Eds.), Source details - Title: Big data management (pp. 1-27). Netherlands: Springer.
DOI Scopus3
2014 Korolkiewicz, M. W., & Chiera, B. A. (2014). The golden arches: an approach to teaching statistics in a first-year university service course. In H. MacGillivray, B. Phillips, & M. Martin (Eds.), Source details - Title: Topics from Australian Conferences on Teaching Statistics: OZCOTS 2008-2012 (Vol. 81, pp. 149-165). US: Springer.
DOI
2012 van der Hoek, J., & Korolkiewicz, M. W. (2012). New analytic approximations for pricing spread options. In S. Cohen (Ed.), Source details - Title: Stochastic Processes, Finance and Control. A Festschrift in Honor of Robert J. Elliott (pp. 259-284). Singapore: World Scientific.
DOI
2007 Korolkiewicz, M., & Elliott, R. (2007). Smoothed parameter estimation for a hidden Markov Model of credit quality. In R. Mamon, & R. Elliott (Eds.), Hidden Markov Models in Finance (Vol. 104, pp. 69-90). New York, USA: Springer.
DOI Scopus2

Year Citation
2008 Filar, J., Kang, B., & Korolkiewicz, M. (2008). Pricing Financial Derivatives on Weather Sensitive Assets.

Courses I teach

  • INFS 5116 Data Visualisation (2025)
  • MATH 1053 Quantitative Methods for Business (2025)
  • MATH 4044 Statistics for Data Science (2025)
  • INFS 5116 Data Visualisation (2024)
  • MATH 1053 Quantitative Methods for Business (2024)
  • MATH 4044 Statistics for Data Science (2024)

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Co-Supervisor Transforming Legacy Systems in Modern Technological and Government Industries through Advanced Artificial Intelligence and Machine Learning Models Doctor of Philosophy Doctorate Full Time Nilanjana Sarker
2025 Co-Supervisor The Role of VR and AI-Enhanced Learning in Developing Critical Thinking and Creativity in Secondary Students' Writing Doctor of Philosophy Doctorate Part Time Mrs Sheila Coggins
2017 Co-Supervisor Authorship attribution in social media: a focus on binary n-gram analysis introducing novel approaches Doctor of Philosophy Doctorate Part Time Mr Mahdi Shafiei

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