DesignLAK17: Quality Metrics and Indicators for Analytics of Assessment Design at Scale

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

Byggeriuddannelserne UCN

Publikation: Bidrag til bog/antologi/rapport › Konferenceartikel i proceeding › peer review

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.

Originalsprog	Engelsk
Titel	LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference : Understanding, Informing and Improving Learning with Data
Antal sider	2
Udgivelsessted	New York, NY, USA
Forlag	Association for Computing Machinery
Publikationsdato	13 mar. 2017
Sider	508-509
ISBN (Elektronisk)	978-1-4503-4870-6
DOI	https://doi.org/10.1145/3027385.3029431
Status	Udgivet - 13 mar. 2017
Begivenhed	DesignLAK17: Quality Metrics and Indicators for Analytics of Assessment Design at Scale - Simon Fraser University, Vancouver, Canada Varighed: 13 mar. 2017 → 13 mar. 2017 Konferencens nummer: 7 https://sites.google.com/site/designlak17/home

Workshop

Workshop	DesignLAK17
Nummer	7
Lokation	Simon Fraser University
Land/Område	Canada
By	Vancouver
Periode	13/03/17 → 13/03/17
Internetadresse	https://sites.google.com/site/designlak17/home

Emneord

Læring, pædagogik og undervisning
Assessment Design
Learning Analytics
Learning Design
New Metrics

Adgang til dokumentet

10.1145/3027385.3029431

Andre filer og links

Link to publication in Scopus

1 Konference
1 Workshop

7th International Learning Analytics and Knowledge (LAK) Conference
Ringtved, U. L. (Deltager)
17 mar. 2017
Aktivitet: Deltagelse i eller arrangement af en begivenhed - typer › Konference
DesignLAK17
Ringtved, U. L. (Arrangør)
13 mar. 2017
Aktivitet: Deltagelse i eller arrangement af en begivenhed - typer › Workshop

Citationsformater

Ringtved, U. L., Milligan, S., Corrin, L., Littlejohn, A., & Law, N. (2017). DesignLAK17: Quality Metrics and Indicators for Analytics of Assessment Design at Scale. I LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data (s. 508-509). Association for Computing Machinery. https://doi.org/10.1145/3027385.3029431

Ringtved, Ulla Lunde ; Milligan, Sandra ; Corrin, Linda et al. / DesignLAK17: Quality Metrics and Indicators for Analytics of Assessment Design at Scale. LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. New York, NY, USA : Association for Computing Machinery, 2017. s. 508-509

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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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month = mar,

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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",

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Ringtved, UL, Milligan, S, Corrin, L, Littlejohn, A & Law, N 2017, DesignLAK17: Quality Metrics and Indicators for Analytics of Assessment Design at Scale. i LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. Association for Computing Machinery, New York, NY, USA, s. 508-509, DesignLAK17, Vancouver, Canada, 13/03/17. https://doi.org/10.1145/3027385.3029431

DesignLAK17: Quality Metrics and Indicators for Analytics of Assessment Design at Scale. / Ringtved, Ulla Lunde; Milligan, Sandra; Corrin, Linda et al.
LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. New York, NY, USA: Association for Computing Machinery, 2017. s. 508-509.

Publikation: Bidrag til bog/antologi/rapport › Konferenceartikel i proceeding › peer review

TY - GEN

T1 - DesignLAK17: Quality Metrics and Indicators for Analytics of Assessment Design at Scale

AU - Ringtved, Ulla Lunde

AU - Milligan, Sandra

AU - Corrin, Linda

AU - Littlejohn, Allison

AU - Law, Nancy

N1 - Conference code: 7

PY - 2017/3/13

Y1 - 2017/3/13

N2 - 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.

AB - 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.

KW - learning, educational science and teaching

KW - Assessment Design

KW - Learning Analytics

KW - Learning Design

KW - New Metrics

UR - https://www.scopus.com/pages/publications/85016472467

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DO - 10.1145/3027385.3029431

M3 - Conference contribution to proceeding

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EP - 509

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

PB - Association for Computing Machinery

CY - New York, NY, USA

T2 - DesignLAK17

Y2 - 13 March 2017 through 13 March 2017

ER -

Ringtved UL, Milligan S, Corrin L, Littlejohn A, Law N. DesignLAK17: Quality Metrics and Indicators for Analytics of Assessment Design at Scale. I LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. New York, NY, USA: Association for Computing Machinery. 2017. s. 508-509 doi: 10.1145/3027385.3029431

DesignLAK17: Quality Metrics and Indicators for Analytics of Assessment Design at Scale

Abstract

Workshop

Emneord

Adgang til dokumentet

Andre filer og links

Fingeraftryk

Aktiviteter

7th International Learning Analytics and Knowledge (LAK) Conference

DesignLAK17

Citationsformater