Adapting to Technological Challenges in Statistics
The ever-developing landscape of modern technology has enabled impressive advances in the delivery of teaching in higher education. However, recent changes are so fast paced that educators are struggling to find an effective, pedagogically sound way of handling these advanced in their teaching and assessment. Technologies such as version control (e.g. GitHub), generative AI (e.g. ChatGPT), and modern machine learning techniques have quickly gained traction to great effect in recent years. With this increase in prominence also comes a demand for knowledge of these skills in the industrial and academic workplace, and the need to expose both staff and students to such practices.
In this project, we consider approaches in sharing such knowledge with both student and staff learners, detailing some of the pedagogical challenges and considerations of integrating modern practices into the established statistics curriculum.
