How Can I use Learning Analytics in my Teaching Practice

In this guest lecture, Geraldine gave an overview of the genesis and practice of learning analytics in higher education in Ireland and beyond

Comparing Variable Importance in Prediction of Silence Behaviours between Random Forest and Conditional Inference Forest Models.

This paper explores variable importance metrics of Conditional Inference Trees (CIT) and classical Classification And Regression Trees (CART) based Random Forests. The paper compares both algorithms variable importance rankings and highlights why CIT should be used when dealing with data with different levels of aggregation. The models analysed explored the role of cultural factors at individual and societal level when predicting Organisational Silence behaviours

Reporters for sensitive and quantitative measurement of auxin response

The visualization of hormonal signaling input and output is key to understanding how multicellular development is regulated. The plant signaling molecule auxin triggers many growth and developmental responses, but current tools lack the sensitivity or precision to visualize these. We developed a set of fluorescent reporters that allow sensitive and semiquantitative readout of auxin responses at cellular resolution in Arabidopsis thaliana. These generic tools are suitable for any transformable plant species