DesignLAK17: Quality metrics and indicators for analytics of assessment design at scale

Ulla Ringtved; Sandra Milligan; Linda Corrin; Allison Littlejohn; Nancy Law

doi:10.1145/3027385.3029431

DesignLAK17: Quality metrics and indicators for analytics of assessment design at scale

Ulla Ringtved, Sandra Milligan, Linda Corrin, Allison Littlejohn, Nancy Law

Department of Communication and Psychology

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Communication

Abstract

Notions of what constitutes quality in design in traditional oncampus 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.

Original language	English
Title of host publication	LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference : Understanding, Informing and Improving Learning with Data
Number of pages	2
Publisher	Association for Computing Machinery
Publication date	13 Mar 2017
Pages	508-509
ISBN (Electronic)	9781450348706
DOIs	https://doi.org/10.1145/3027385.3029431
Publication status	Published - 13 Mar 2017
Event	7th International Conference on Learning Analytics and Knowledge, LAK 2017 - Vancouver, Canada Duration: 13 Mar 2017 → 17 Mar 2017

Conference

Conference	7th International Conference on Learning Analytics and Knowledge, LAK 2017
Country/Territory	Canada
City	Vancouver
Period	13/03/2017 → 17/03/2017

Keywords

Assessment
Feedback
Learning analytics
Learning at scale
Learning design
Scaled courses

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10.1145/3027385.3029431

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Ringtved, U., Milligan, S., Corrin, L., Littlejohn, A., & Law, N. (2017). DesignLAK17: Quality metrics and indicators for analytics of assessment design at scale. In LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data (pp. 508-509). Association for Computing Machinery. https://doi.org/10.1145/3027385.3029431

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abstract = "Notions of what constitutes quality in design in traditional oncampus 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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author = "Ulla Ringtved and Sandra Milligan and Linda Corrin and Allison Littlejohn and Nancy Law",

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doi = "10.1145/3027385.3029431",

language = "English",

pages = "508--509",

booktitle = "LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference",

publisher = "Association for Computing Machinery",

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note = "7th International Conference on Learning Analytics and Knowledge, LAK 2017 ; Conference date: 13-03-2017 Through 17-03-2017",

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Ringtved, U, Milligan, S, Corrin, L, Littlejohn, A & Law, N 2017, DesignLAK17: Quality metrics and indicators for analytics of assessment design at scale. in LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. Association for Computing Machinery, pp. 508-509, 7th International Conference on Learning Analytics and Knowledge, LAK 2017, Vancouver, Canada, 13/03/2017. https://doi.org/10.1145/3027385.3029431

DesignLAK17: Quality metrics and indicators for analytics of assessment design at scale. / Ringtved, Ulla; Milligan, Sandra; Corrin, Linda et al.
LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. Association for Computing Machinery, 2017. p. 508-509.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Communication

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T1 - DesignLAK17

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AU - Corrin, Linda

AU - Littlejohn, Allison

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KW - Scaled courses

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M3 - Article in proceeding

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BT - LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference

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Ringtved U, Milligan S, Corrin L, Littlejohn A, Law N. DesignLAK17: Quality metrics and indicators for analytics of assessment design at scale. In LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. Association for Computing Machinery. 2017. p. 508-509 doi: 10.1145/3027385.3029431

DesignLAK17: Quality metrics and indicators for analytics of assessment design at scale

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Keywords

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