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Infant Statistical Learning

Annual review of psychology, 2018-01, Vol.69 (1), p.181-203

2018

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Learning from Errors

Annual review of psychology, 2017-01, Vol.68 (1), p.465-489

Metcalfe, Janet

2017

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Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning

The Academy of Management review, 2022-07, Vol.47 (3), p.448-465

2022

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Enhancing students' learning in problem based learning: validation of a self-assessment scale for active learning and critical thinking

BMC medical education, 2015-08, Vol.15 (1), p.140-140, Article 140

2015

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Active Learning: Effects of Core Training Design Elements on Self-Regulatory Processes, Learning, and Adaptability

Journal of applied psychology, 2008-03, Vol.93 (2), p.296-316

2008

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Machine Learning for Medical Imaging

Radiographics, 2017-03, Vol.37 (2), p.505

2017

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Learning at a distance I. Statistical learning of non-adjacent dependencies

Cognitive psychology, 2004-03, Vol.48 (2), p.127-162

2004

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Learning from machine learning

Journal of vascular surgery, 2022-01, Vol.75 (1), p.286-286

Abou-Zamzam, Jr, Ahmed M

2022

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Defragmenting Learning

Cognitive science, 2023-06, Vol.47 (6), p.e13301-n/a

Kapatsinski, Vsevolod

2023

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Learning Versus Performance: An Integrative Review

Perspectives on psychological science, 2015-03, Vol.10 (2), p.176-199

2015

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The Knowledge‐Learning‐Instruction Framework: Bridging the Science‐Practice Chasm to Enhance Robust Student Learning

Cognitive science, 2012-07, Vol.36 (5), p.757-798

2012

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Learning Curve

Academic medicine, 2022-12, Vol.97 (12), p.1759-1759

Lenze, Nicholas R

2022

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Learning, Reward, and Decision Making

Annual review of psychology, 2017-01, Vol.68 (1), p.73-100

2017

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Deep Learning in Drug Discovery

Molecular informatics, 2016-01, Vol.35 (1), p.3-14

2016

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The effect of intrinsic value, self-management learning, and mobile-assisted language learning on Chinese students' learning adaptability: A distal mediation model

Acta psychologica, 2023-09, Vol.239, p.104022-104022

Jiang, Chenjuan

2023

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Learning From Peers’ Eye Movements in the Absence of Expert Guidance: A Proof of Concept Using Laboratory Stock Trading, Eye Tracking, and Machine Learning

Cognitive science, 2019-03, Vol.43 (2), p.e12716-n/a

2019

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

BMC medical education, 2019-05, Vol.19 (1), p.160-160, Article 160

2019

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Fast mapping, slow learning: Disambiguation of novel word–object mappings in relation to vocabulary learning at 18, 24, and 30months

Cognition, 2013-01, Vol.126 (1), p.39-53

2013

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Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

Nature communications, 2020-08, Vol.11 (1), p.4238-4238, Article 4238

2020

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Complementary Learning Systems

Cognitive science, 2014-08, Vol.38 (6), p.1229-1248

2014

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Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning

Psychonomic bulletin & review, 2016-10, Vol.23 (5), p.1382-1414

2016

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

Cognitive science, 2018-06, Vol.42 (S3), p.692-727

2018

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Reflecting on gamified learning in medical education: a systematic literature review grounded in the Structure of Observed Learning Outcomes (SOLO) taxonomy 2012-2022

BMC medical education, 2024-01, Vol.24 (1), p.20-20, Article 20

2024

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Maximizing exposure therapy: An inhibitory learning approach

Behaviour research and therapy, 2014-07, Vol.58, p.10-23

2014

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Cognitive Control Over Learning: Creating, Clustering, and Generalizing Task-Set Structure

Psychological review, 2013-01, Vol.120 (1), p.190-229

2013

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Infant Statistical Learning

Learning from Errors

Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning

Enhancing students' learning in problem based learning: validation of a self-assessment scale for active learning and critical thinking

Active Learning: Effects of Core Training Design Elements on Self-Regulatory Processes, Learning, and Adaptability

Machine Learning for Medical Imaging

Learning at a distance I. Statistical learning of non-adjacent dependencies

Learning from machine learning

Defragmenting Learning

Learning Versus Performance: An Integrative Review

The Knowledge‐Learning‐Instruction Framework: Bridging the Science‐Practice Chasm to Enhance Robust Student Learning

Learning Curve

Learning, Reward, and Decision Making

Deep Learning in Drug Discovery

The effect of intrinsic value, self-management learning, and mobile-assisted language learning on Chinese students' learning adaptability: A distal mediation model

Learning From Peers’ Eye Movements in the Absence of Expert Guidance: A Proof of Concept Using Laboratory Stock Trading, Eye Tracking, and Machine Learning

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

Fast mapping, slow learning: Disambiguation of novel word–object mappings in relation to vocabulary learning at 18, 24, and 30months

Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

Complementary Learning Systems

Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning

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

Reflecting on gamified learning in medical education: a systematic literature review grounded in the Structure of Observed Learning Outcomes (SOLO) taxonomy 2012-2022

Maximizing exposure therapy: An inhibitory learning approach

Cognitive Control Over Learning: Creating, Clustering, and Generalizing Task-Set Structure

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