Measurement methodology in digital learning environments
The main aim of the research project is to investigate methodology for monitoring learning behaviour to measure learning gains and to model factors influencing the trajectory of learning. Learning gain will be measured in terms of change over time using tasks that are designed to detect increases in knowledge and change in performance and understanding. Longitudinal and repeated observations are necessary to observe and detect changes in learning. Longitudinal random coefficient models will form the basis of the approach to modelling the repeated observations/measurements and to investigate time-specific factors that influence learning temporally at the observation points and individual-level factors that influence individual learning overall. This study will first make use of available data from the learning analytics community to formulate different statistical and measurement models to evaluate and demonstrate their usefulness. What we learn from the digital learning context hopefully will be applicable to other longitudinal learning science research in other projects of the Centre for Science of Learning @ ACER.