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Proceedings of the Seventh ACM Conference on Learning @ Scale
Latest Publications
TOTAL DOCUMENTS
76
(FIVE YEARS 76)
H-INDEX
2
(FIVE YEARS 2)
Published By ACM
9781450379519
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Latest Documents
Most Cited Documents
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Pixasso
Proceedings of the Seventh ACM Conference on Learning @ Scale
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10.1145/3386527.3406747
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2020
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Author(s):
Vrinda Nandan
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Andrew Spittlemeister
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Federico Brubacher
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Content Type Distribution and Readability of MOOCs
Proceedings of the Seventh ACM Conference on Learning @ Scale
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10.1145/3386527.3405950
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2020
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Author(s):
May Kristine Jonson Carlon
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Nopphon Keerativoranan
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Jeffrey S. Cross
Keyword(s):
Content Type
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Type Distribution
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The Role of Self-Regulated Learning in the Design, Implementation, and Evaluation of Learning Analytics Dashboards
Proceedings of the Seventh ACM Conference on Learning @ Scale
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10.1145/3386527.3406732
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2020
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Author(s):
Carl C. Haynes
Keyword(s):
Learning Analytics
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Self Regulated Learning
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Regulated Learning
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Evaluation Of Learning
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The Synchronicity Paradox in Online Education
Proceedings of the Seventh ACM Conference on Learning @ Scale
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10.1145/3386527.3405922
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2020
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Cited By ~ 1
Author(s):
David A. Joyner
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Qiaosi Wang
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Suyash Thakare
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Shan Jing
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Ashok Goel
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...
Keyword(s):
Online Education
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Adaptive Learning using Finite State Machine Logic
Proceedings of the Seventh ACM Conference on Learning @ Scale
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10.1145/3386527.3406720
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2020
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Author(s):
Muffie Wiebe Waterman
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Dennis C. Frezzo
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Michael X. Wang
Keyword(s):
Adaptive Learning
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Finite State Machine
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State Machine
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Finite State
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Challenges of Online Learning in Nigeria
Proceedings of the Seventh ACM Conference on Learning @ Scale
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10.1145/3386527.3405953
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2020
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Author(s):
Kabir Abdulmajeed
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David A. Joyner
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Christine McManus
Keyword(s):
Online Learning
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Understanding Learner Behavior Through Learning Design Informed Learning Analytics
Proceedings of the Seventh ACM Conference on Learning @ Scale
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10.1145/3386527.3405919
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2020
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Author(s):
Hao Shen
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Leming Liang
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Nancy Law
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Erik Hemberg
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Una-May O'Reilly
Keyword(s):
Learning Analytics
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Learning Design
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Analysis of Grading Times of Short Answer Questions
Proceedings of the Seventh ACM Conference on Learning @ Scale
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10.1145/3386527.3406748
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2020
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Author(s):
Michael Yen
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Sergey Karayev
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Eric Wang
Keyword(s):
Short Answer
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Short Answer Questions
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Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success
Proceedings of the Seventh ACM Conference on Learning @ Scale
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10.1145/3386527.3406755
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2020
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Author(s):
Catherine Kung
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Renzhe Yu
Keyword(s):
College Success
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Interpretable Models
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Predicting College Success
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Cold Start Knowledge Tracing with Attentive Neural Turing Machine
Proceedings of the Seventh ACM Conference on Learning @ Scale
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10.1145/3386527.3406741
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2020
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Author(s):
Jinjin Zhao
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Shreyansh Bhatt
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Candace Thille
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Neelesh Gattani
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Dawn Zimmaro
Keyword(s):
Turing Machine
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Cold Start
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Knowledge Tracing
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