Formalytics as Real-Time Feedback and Feedforward for Sustainable Lifelong Learning Pathways
Abstract: This paper explores the usefulness of formalytics for sustainable learning improvement linked to lifelong learning This can be achieved in two ways; firstly, by providing students with automatic VLE generated feedback of information giving an analysis of their personal data gathered on their learning engagement and performance; secondly, by students self-evaluating their own performance from critical benchmarks negotiated through their facilitators via a predictive model In this two-stage process the students are required to interpret their personal data and take self-determined action with facilitator support to improve their learning performance and outcomes The authors through extensive meta-analysis of existing literature on LA have designed a flexible model by which the students are coached to improve their performance through reflective interaction with their learning context and activities This system is a formative learning analytics process proposed for Higher Education
Presider: Kurt Ackermann, Hokusei Gakuen University Junior College