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Linda Corrin
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2010 – 2019
- 2019
- [c9]Aneesha Bakharia
, Linda Corrin:
Using Recent Advances in Contextual Word Embeddings to Improve the Quantitative Ethnography Workflow. ICQE 2019: 299-306 - 2017
- [c8]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]Linda Corrin, Paula G. de Barba
, Aneesha Bakharia
:
Using learning analytics to explore help-seeking learner profiles in MOOCs. LAK 2017: 424-428 - [c6]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]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]Ulla Ringtved
, Sandra Milligan
, Linda Corrin:
Learning design and feedback processes at scale: stocktaking emergent theory and practice. LAK 2016: 479-480 - 2015
- [c3]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]Linda Corrin, Paula G. de Barba
:
How do students interpret feedback delivered via dashboards? LAK 2015: 430-431 - 2014
- [c1]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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last updated on 2024-08-05 20:17 CEST by the dblp team
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