LiftUpp: Support to Develop Learner Performance

Frans A. Oliehoek, Rahul Savani, Elliot Adderton, Xia Cui, David Jackson, Phil Jimmieson, John Christopher Jones, Keith Kennedy, Ben Mason, Adam Plumbley, Luke Dawson

Abstract: The last two decades have seen enormous progress in both theories and technology to support learner progress. However, many of the Artificial Intelligence in Education (AIED) techniques are difficult to apply in workplace-based educational settings, such as dentistry. Such settings put high demands on e-infrastructure, because they require intelligent systems that can be used in the workplace every day, and can also fuse many different forms of assessment data together. In addition, such systems should be able to enhance student development through personalised real time feedback (in dentistry education, for example, from both staff and patients) to drive learner self-reflection. Moreover, the information these systems provide must be reliable to facilitate defensible decisions over individual student progress to protect the public [2].