English

LiftUpp: Support to develop learner performance

Computers and Society 2017-04-24 v1

Abstract

Various motivations exist to move away from the simple assessment of knowledge towards the more complex assessment and development of competence. However, to accommodate such a change, high demands are put on the supporting e-infrastructure in terms of intelligently collecting and analysing data. In this paper, we discuss these challenges and how they are being addressed by LiftUpp, a system that is now used in 70% of UK dental schools, and is finding wider applications in physiotherapy, medicine and veterinary science. We describe how data is collected for workplace-based development in dentistry using a dedicated iPad app, which enables an integrated approach to linking and assessing work flows, skills and learning outcomes. Furthermore, we detail how the various forms of collected data can be fused, visualized and integrated with conventional forms of assessment. This enables curriculum integration, improved real-time student feedback, support for administration, and informed instructional planning. Together these facets contribute to better support for the development of learners' competence in situated learning setting, as well as an improved experience. Finally, we discuss several directions for future research on intelligent teaching systems that are afforded by using the design present within LiftUpp.

Keywords

Cite

@article{arxiv.1704.06549,
  title  = {LiftUpp: Support to develop learner performance},
  author = {Frans A. Oliehoek and Rahul Savani and Elliot Adderton and Xia Cui and David Jackson and Phil Jimmieson and John Christopher Jones and Keith Kennedy and Ben Mason and Adam Plumbley and Luke Dawson},
  journal= {arXiv preprint arXiv:1704.06549},
  year   = {2017}
}

Comments

Short 4-page version to appear at AIED 2017

R2 v1 2026-06-22T19:23:50.522Z