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The role of social network analysis as a learning analytics tool in online problem based learning
The role of social network analysis as a learning analytics tool in online problem based learning
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The role of social network analysis as a learning analytics tool in online problem based learning

Saqr, Mohammed ; Alamro, Ahmad

BMC medical education, 2019-05, Vol.19 (1), p.160-160, Article 160 [Periódico revisado por pares]

England: BioMed Central Ltd

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Translating the ICAP Theory of Cognitive Engagement Into Practice
Translating the ICAP Theory of Cognitive Engagement Into Practice
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Translating the ICAP Theory of Cognitive Engagement Into Practice

Chi, Michelene T. H. ; Adams, Joshua ; Bogusch, Emily B. ; Bruchok, Christiana ; Kang, Seokmin ; Lancaster, Matthew ; Levy, Roy ; Li, Na ; McEldoon, Katherine L. ; Stump, Glenda S. ; Wylie, Ruth ; Xu, Dongchen ; Yaghmourian, David L.

Cognitive science, 2018-08, Vol.42 (6), p.1777-1832 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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3
The Keys to the Future? An Examination of Statistical Versus Discriminative Accounts of Serial Pattern Learning
The Keys to the Future? An Examination of Statistical Versus Discriminative Accounts of Serial Pattern Learning
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The Keys to the Future? An Examination of Statistical Versus Discriminative Accounts of Serial Pattern Learning

Tomaschek, Fabian ; Ramscar, Michael ; Nixon, Jessie S.

Cognitive science, 2024-02, Vol.48 (2), p.e13404-n/a [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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4
Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning
Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning
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Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning

Abdulkareem, Shaheen A ; Augustijn, Ellen-Wien ; Filatova, Tatiana ; Musial, Katarzyna ; Mustafa, Yaseen T Poletto, Chiara

PloS one, 2020-01, Vol.15 (1), p.e0226483-e0226483 [Periódico revisado por pares]

United States: Public Library of Science

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5
Redefining “Learning” in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities?
Redefining “Learning” in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities?
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Redefining “Learning” in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities?

Siegelman, Noam ; Bogaerts, Louisa ; Kronenfeld, Ofer ; Frost, Ram

Cognitive science, 2018-06, Vol.42 (S3), p.692-727 [Periódico revisado por pares]

United States: Wiley-Blackwell

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6
Self-Regulated Learning: Beliefs, Techniques, and Illusions
Self-Regulated Learning: Beliefs, Techniques, and Illusions
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Self-Regulated Learning: Beliefs, Techniques, and Illusions

BJORK, Robert A ; DUNLOSKY, John ; KORNELL, Nate

Annual review of psychology, 2013-01, Vol.64 (1), p.417-444 [Periódico revisado por pares]

Palo Alto, CA: Annual Reviews

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7
Deep learning: new computational modelling techniques for genomics
Deep learning: new computational modelling techniques for genomics
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Deep learning: new computational modelling techniques for genomics

Eraslan, Gökcen ; Avsec, Žiga ; Gagneur, Julien ; Theis, Fabian J

Nature reviews. Genetics, 2019-07, Vol.20 (7), p.389-403 [Periódico revisado por pares]

England: Nature Publishing Group

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8
How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data
How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data
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How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data

Riordan, Benjamin ; Bonela, Abraham Albert ; He, Zhen ; Nibali, Aiden ; Anderson‐Luxford, Dan ; Kuntsche, Emmanuel

Addiction (Abingdon, England), 2024-05, Vol.119 (5), p.951-959 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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9
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
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Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

Samala, Ravi K. ; Chan, Heang-Ping ; Hadjiiski, Lubomir ; Helvie, Mark A. ; Wei, Jun ; Cha, Kenny

Medical physics (Lancaster), 2016-12, Vol.43 (12), p.6654-6666 [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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10
Statistical Learning within and between Modalities: Pitting Abstract against Stimulus-Specific Representations
Statistical Learning within and between Modalities: Pitting Abstract against Stimulus-Specific Representations
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Statistical Learning within and between Modalities: Pitting Abstract against Stimulus-Specific Representations

Conway, Christopher M. ; Christiansen, Morten H.

Psychological science, 2006-10, Vol.17 (10), p.905-912 [Periódico revisado por pares]

Los Angeles, CA: Blackwell Publishing

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