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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, and Luke Dawson. LiftUpp: Support to Develop Learner Performance. In Proceedings of the 18th International Conference on Artificial Intelligence in Education (AIED 2017), pp. 553–556, July 2017.
Long version available at arXiv: http://arxiv.org/abs/1704.06549v1
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Abstract
Various motivations exist to move away from the simple assessment ofknowledge towards the more complex assessment and development of competence.However, to accommodate such a change, high demands are put on the supportinge-infrastructure in terms of intelligently collecting and analysing data. Inthis paper, we discuss these challenges and how they are being addressed byLiftUpp, a system that is now used in 70% of UK dental schools, and is findingwider applications in physiotherapy, medicine and veterinary science. Wedescribe how data is collected for workplace-based development in dentistryusing a dedicated iPad app, which enables an integrated approach to linking andassessing work flows, skills and learning outcomes. Furthermore, we detail howthe various forms of collected data can be fused, visualized and integratedwith conventional forms of assessment. This enables curriculum integration,improved real-time student feedback, support for administration, and informedinstructional planning. Together these facets contribute to better support forthe development of learners' competence in situated learning setting, as wellas an improved experience. Finally, we discuss several directions for futureresearch on intelligent teaching systems that are afforded by using the designpresent within LiftUpp.
BibTeX Entry
@inproceedings{Oliehoek17AIED,
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},
booktitle = {Proceedings of the 18th International Conference on Artificial Intelligence in Education (AIED 2017)},
pages = {553--556},
month = jul,
wwwnote = {Long version available at arXiv: \url{http://arxiv.org/abs/1704.06549v1}},
year = {2017},
url = {https://link.springer.com/chapter/10.1007/978-3-319-61425-0_62},
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.},
}
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