Pre-conference workshop: connecting data with student support: a hands-on tutorial
Date
2019
Authors
Pardo, A.
Editors
Lee, M.J.W.
Nikolic, S.
Shen, J.
Lei, L.C.U.
Wong, G.K.W.
Venkatarayalu, N.
Nikolic, S.
Shen, J.
Lei, L.C.U.
Wong, G.K.W.
Venkatarayalu, N.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018, 2019 / Lee, M.J.W., Nikolic, S., Shen, J., Lei, L.C.U., Wong, G.K.W., Venkatarayalu, N. (ed./s), iss.8615373, pp.1213-1214
Statement of Responsibility
Conference Name
International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 (4 Dec 2018 - 7 Dec 2018 : Wollongong, Australia)
Abstract
The amount of data extracted from learning experiences has grown at an astonishing pace both in depth due to the increasing variety of data sources, and in breath with courses now being offered to massive student cohorts. However, in this emerging scenario instructors are now facing the challenge of connecting the knowledge emerging from data analysis with the provision of meaningful support actions to students within the context of an instructional design. The objective of this workshop is to give attendees a set of hypothetical scenarios in which the knowledge extracted from a learning experience needs to be used to provide frequent personalized feedback to students.
School/Discipline
Dissertation Note
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Copyright 2019 IEEE