E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Vancouver, British Columbia, Canada ISBN 978-1-939797-31-5 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
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
Bhattacharya, M. & Coombs, S. (2017). Formalytics as Real-Time Feedback and Feedforward for Sustainable Lifelong Learning Pathways. In J. Dron & S. Mishra (Eds.), Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1104-1110). Vancouver, British Columbia, Canada: Association for the Advancement of Computing in Education (AACE).
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