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Creator |
ddfea09c87321f113cbedc1a102b844b |
66975 |
Creator |
ext-50356a68c7838de063a2a88c06d3c6e1 |
66975 |
Creator |
ext-a115b9c9dd246162f59f10db38e21a27 |
66975 |
Creator |
ext-a708e63749737431f2d55acea179d99a |
66975 |
Creator |
ext-f9f5cfd944009a364048f7d7cd10febe |
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Date |
2017 |
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Is Part Of |
repository |
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Is Part Of |
p0b5f6a70994655beeca36ab1e9004e29 |
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abstract |
Notions of what constitutes quality in design in traditional on-campus or online teaching
and learning may not always translate into scaled digital environments. The DesignLAK17
workshop builds on the DesignLAK16 workshop to explore one aspect of this theme, namely
the opportunities arising from the use of analytics in scaled assessment design. New
paradigms for learning design are exploiting the distinctive characteristics and potentials
of analytics, trace data and newer kinds of sensory data usable on digital platforms
to transform assessment. But, characteristics of quality assessment design need to
be reconsidered, and new metrics for capturing quality are required. This symposium
and workshop focuses on what might be appropriate quality metrics and indicators for
assessment design in scaled learning. It aims to build a community of interest round
the topic, to share perspectives, and to generate design and research ideas. |
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authorList |
authors |
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presentedAt |
ext-d5c008e4ec08ea24eda66dc9a7c34058 |
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status |
published |
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status |
peerReviewed |
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type |
AcademicArticle |
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type |
Article |
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label |
Ringtved, Ulla; Milligan, Sandra; Corrin, Linda; Littlejohn, Allison and Law,
Nancy (2017). DesignLAK17. In: Proceedings of the Seventh International Learning
Analytics & Knowledge Conference on - LAK '17, ACM Press pp. 508–509. |
66975 |
label |
Ringtved, Ulla; Milligan, Sandra; Corrin, Linda; Littlejohn, Allison and Law, Nancy
(2017). DesignLAK17. In: Proceedings of the Seventh International Learning Analytics
& Knowledge Conference on - LAK '17, ACM Press pp. 508–509. |
66975 |
Publisher |
ext-7d6b17de0dbc188be172630e71f8e835 |
66975 |
Title |
DesignLAK17 |
66975 |
in dataset |
oro |