Concepedia

Pretraining Principle

The "Pretraining Principle" is a cognitive theory in multimedia learning that posits learners benefit from acquiring essential conceptual knowledge about key components of a system prior to engaging in integrated procedural instruction, thereby reducing cognitive load during subsequent problem-solving or simulation-based tasks.

43

Publications

5.4K

Citations

127

Authors

53

Institutions

Publications per year

2017–2026

17

Parents

Publications

43

Why Does Unsupervised Pre-training Help Deep Learning?

Dumitru Erhan, Aaron Courville, Yoshua Bengio et al. · 2010 · 2.1K citations

, , +6

Face detection using deep learning: An improved faster RCNN approach

Xudong Sun, Pengcheng Wu, Steven C. H. Hoi · Neurocomputing · 2018 · 706 citations · Full text

, , +16

Investigating the effect of pre-training when learning through immersive virtual reality and video: A media and methods experiment

Oliver A. Meyer, Magnus Kirstoffer Omdahl, Guido Makransky · Computers & Education · 2019 · 494 citations · Full text

, , +17

Deep Generative Stochastic Networks Trainable by Backprop

Yoshua Bengio, Eric Laufer, Guillaume Alain et al. · arXiv (Cornell University) · 2013 · 240 citations · Full text

, , +16

Fostering understanding of multimedia messages through pre-training: Evidence for a two-stage theory of mental model construction.

Richard E. Mayer, Amanda Mathias, Karen Wetzell · Journal of Experimental Psychology Applied · 2002 · 153 citations

, , +16

1–5 of 43

Authors

127

  1. YB
    Yoshua Bengio

    Université de Montréal, Canada

    3 publications · 2.5K citations

    3

    h-index

  2. ZL
    Zicheng Liu

    Microsoft (United States), United States

    2 publications · 159 citations

    2

    h-index

  3. RE
    Richard E. Mayer

    University of California, Santa Barbara, United States

    2 publications · 305 citations

    2

    h-index

  4. AM
    Amanda Mathias

    University of California, Santa Barbara, United States

    2 publications · 305 citations

    2

    h-index

  5. CL
    Chunyuan Li

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 159 citations

    2

    h-index

1–5 of 127

Institutions

53

  1. Cornell University

    Ithaca, United States

    2 h-index

    2 publications

    285 citations

  2. Université de Montréal

    Montreal, Canada

    2 h-index

    7 publications

    9.2K citations

  3. University of California, Berkeley

    Berkeley, United States

    2 h-index

    6 publications

    242 citations

  4. Harvard University Press

    Cambridge, United States

    1 h-index

    1 publications

    24 citations

  5. University of Leeds

    Leeds, United Kingdom

    1 h-index

    2 publications

    24 citations

  6. Lawrence Berkeley National Laboratory

    Berkeley, United States

    1 h-index

    3 publications

    36 citations

  7. Singapore Management University

    Singapore, Singapore

    1 h-index

    1 publications

    706 citations

  8. Torrens University Australia

    Adelaide, Australia

    1 h-index

    2 publications

    36 citations

1–8 of 53

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 547 citations

    7

    h-index

  2. Journal of Experimental Psychology

    3 publications · 103 citations

    3

    h-index

  3. Neurocomputing

    2 publications · 716 citations

    2

    h-index

  4. Journal of Experimental Psychology Applied

    2 publications · 305 citations

    2

    h-index

  5. Applied Research in Mental Retardation

    1 publications · 12 citations

    1

    h-index

1–5