On this page, you’ll find recordings of sessions delivered by our numeracy adviser, Iuliia Patsiukova, in workshops held during the 2024–2025 academic year. These sessions cover key topics including descriptive statistics and distributions, hypothesis testing, regression analysis, and the use of digital tools and AI in data analysis. Each recording is designed to help you build confidence in working with data, interpreting results, and choosing the right tools for your research.
Recordings:
For more information and bookings of workshops and Q&As with Iuliia please visit the AELD team page introducing our Workshops.
This session explored how digital tools and AI can support mathematical learning and problem-solving. Iuliia introduced tools used in data analysis, shared examples from her research, and discussed how ChatGPT can assist with analytical tasks, along with its limitations. The session included participant discussions and reflections on useful tools.
This session introduced the fundamentals of statistical thinking, with a focus on descriptive statistics. Key concepts were explained using visualizations and real-world data examples to help participants build confidence in working with data.
This session covered the core ideas of hypothesis testing, including null and alternative hypotheses, significance levels, p-values, and common tests like t-tests, chi-square, and correlation. It helped participants strengthen their understanding of statistical reasoning before using SPSS or similar tools.
This session explored how to analyse relationships between variables using simple linear regression. It covered interpreting coefficients and R², the difference between regression and correlation, and common pitfalls to avoid when reporting results. Multiple regression was also briefly discussed.
This session introduced key quantitative methods to help students design research, collect data, and analyze results. It covered defining research questions, selecting data collection techniques, and choosing analytical methods.
This session guided participants through the basics of SPSS, covering data entry, management, and key statistical tests. They worked hands-on with real datasets to explore SPSS functions, perform analyses, and interpret results. Attendees practiced using the software and had opportunities to ask questions and troubleshoot.
