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Linda Corrin

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2010 – 2019

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2019
[c9]
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Aneesha Bakharia, Linda Corrin:
Using Recent Advances in Contextual Word Embeddings to Improve the Quantitative Ethnography Workflow. ICQE 2019: 299-306
2017
[c8]
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Reeva Lederman, Dora Constantinidis, Tanya Linden, Linda Corrin, Jon M. Pearce, Wally Smith, James Bailey:
Using a Traffic Light System to Provide Feedback to IS Masters Students. ICIS 2017
[c7]
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Linda Corrin, Paula G. de Barba, Aneesha Bakharia:
Using learning analytics to explore help-seeking learner profiles in MOOCs. LAK 2017: 424-428
[c6]
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Ulla Ringtved, Sandra Milligan, Linda Corrin, Allison Littlejohn, Nancy Law:
DesignLAK17: quality metrics and indicators for analytics of assessment design at scale. LAK 2017: 508-509
2016
[c5]
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Aneesha Bakharia, Linda Corrin, Paula G. de Barba, Gregor E. Kennedy, Dragan Gasevic, Raoul Mulder, David Williams, Shane Dawson, Lori Lockyer:
A conceptual framework linking learning design with learning analytics. LAK 2016: 329-338
[c4]
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Ulla Ringtved, Sandra Milligan, Linda Corrin:
Learning design and feedback processes at scale: stocktaking emergent theory and practice. LAK 2016: 479-480
2015
[c3]
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Gregor E. Kennedy, Carleton Coffrin, Paula G. de Barba, Linda Corrin:
Predicting success: how learners' prior knowledge, skills and activities predict MOOC performance. LAK 2015: 136-140
[c2]
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  - conf/lak/CorrinB15
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Linda Corrin, Paula G. de Barba:
How do students interpret feedback delivered via dashboards? LAK 2015: 430-431
2014
[c1]
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  - conf/lak/CoffrinCBK14
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Carleton Coffrin, Linda Corrin, Paula G. de Barba, Gregor E. Kennedy:
Visualizing patterns of student engagement and performance in MOOCs. LAK 2014: 83-92

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