Pre-conference Workshop 1
Date and Time: 18 Nov, 9 – 12 pm
Venue: TBC
Cost: Free for conference participants
Title: Nurturing Well-being through Drama
Facilitator: Singapore Repertory Theatre
Profile: https://www.srt.com.sg/
This workshop explores how drama-based techniques can enhance well-being and facilitate mental health by fostering emotional resilience, self-expression, and social connection. Through experiential exercises, participants will engage in movement, improvisation, and reflective role-play to explore the link between embodied learning and holistic development. The workshop also discusses practical applications for integrating drama into educational settings such as classrooms, equipping attendees with creative tools to support children and youth in developing confidence, self-regulation, and emotional awareness.
Pre-conference Workshop 2
Date and Time: 18 Nov, 9 – 12 pm
Venue: TBC
Cost: Free for conference participants
Title: An Introduction to R and RStudio for Educational Researchers
Facilitator: Dr. Jorge Sinval
Profile: https://dr.ntu.edu.sg/entities/person/Sinval
This workshop tailored specifically for educational researchers offers an applied introduction to R, a powerful open-source programming language for statistical computing, using RStudio as the integrated development environment. Using real data from international large-scale assessments such as PISA, TIMSS, and PIRLS, participants will learn how to use R and RStudio for essential data analysis tasks. The session will begin with an overview of R's syntax and environment, and RStudio's interface, followed by hands-on exercises in computing descriptive statistics. We will then cover classical hypothesis tests for group comparisons, including both parametric (e.g., t-tests, ANOVA) and non-parametric methods (e.g., Wilcoxon-Mann–Whitney, Kruskal–Wallis), addressing analyses for both independent and paired samples. Finally, the workshop will introduce generalized linear models, focusing on linear regression as a foundational modeling tool. No prior experience with R or RStudio is required. This session is ideal for researchers seeking to build or strengthen their quantitative analysis skills using reproducible and transparent methods.