Malgorzata Korolkiewicz

Teaching Strengths

Statistics
Data Visualisation
Data Science
Financial mathematics

Dr Malgorzata Korolkiewicz

Program Director

Office of Science

College of Science

I am a senior lecturer in Mathematical Sciences and the Program Director for the Bachelor of Data Analytics (XBDA) offered through UniSA 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.
UniSA STEM sponsor in HERN - Higher Education Research Network

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
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
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
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 WoS21

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
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
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
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 (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 (pp. 69-90). New York, USA: Springer.
DOI

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)

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