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Tags: learning

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  1. Framework for Evaluating Simulations: Analysis of Student Developed Interactive Computer Tools

    21 Jul 2014 | Papers | Contributor(s): Kelsey Joy Rodgers, Heidi A Diefes-Dux, Krishna Madhavan

    Computer simulations are discussed in the learning environment from two major perspectives: 1) teaching students how to build simulations and 2) developing simulations to teach students targeted...

    http://nanohub.org/resources/21266

  2. Sorin Adam Matei

    http://nanohub.org/members/93108

  3. [Illinois] MCB 493 Lecture 6: Supervised Learning and Non-Uniform Representations

    30 Oct 2013 | Online Presentations | Contributor(s): Thomas J. Anastasio

    Supervised learning algorithms can train neural networks to associate patterns and simulate the non-uniform distributed representations found in many brain regions.

    http://nanohub.org/resources/17022

  4. [Illinois] MCB 493 Lecture 7: Reinforcement Learning and Associative Conditioning

    30 Oct 2013 | Online Presentations | Contributor(s): Thomas J. Anastasio

    Reinforcement learning algorithms can simulate certain types of associative conditioning and train neural networks to form non-uniform distributed representations.

    http://nanohub.org/resources/18832

  5. [Illinois] MCB 493 Lecture 4: Covariation Learning and Auto-Associative Memory

    29 Oct 2013 | Online Presentations | Contributor(s): Thomas J. Anastasio

    Networks with recurrent connection weights that reflect the covariation between pattern elements can dynamically recall patterns and simulate certain forms of memory.

    http://nanohub.org/resources/16950

  6. [Illinois] MCB 493 Lecture 5: Unsupervised Learning and Distributed Representations

    29 Oct 2013 | Online Presentations | Contributor(s): Thomas J. Anastasio

    Unsupervised learning algorithms, given only a set of input patterns, can train neural networks to form distributed representations of those patterns that resemble brain maps.

    http://nanohub.org/resources/16951

  7. [Illinois] MCB 493 Lecture 8: Information Transmission and Unsupervised Learning

    29 Oct 2013 | Online Presentations | Contributor(s): Thomas J. Anastasio

    Unsupervised learning algorithms can train neural networks to increase the amount of information they contain about their inputs and simulate the properties of sensory neurons.

    http://nanohub.org/resources/18833

  8. David Hallman

    http://nanohub.org/members/82815

  9. Engineering and Science Instructors' Intended Learning Outcomes with Computational Simulations as Learning Tools

    26 Feb 2013 | Online Presentations | Contributor(s): Alejandra J. Magana

    This presentation describes the results of a study aiming to identify how 14 instructors incorporated into their classrooms computational simulations as learning tools. The study was based on the...

    http://nanohub.org/resources/16592

  10. Renato Regis

    123

    http://nanohub.org/members/69393

  11. Learning with nanoHUB

    01 Aug 2012 | Online Presentations | Contributor(s): Quincy Leon Williams

    Interactive media is the most valuable tool for engaging the younger generations of students and future researchers. Since, few instructors have the skills required to incorporate such new...

    http://nanohub.org/resources/14886

  12. Kamalakkannan Gothandam

    unique preference.

    http://nanohub.org/members/69077

  13. Glenn Carlo Dones Clavel

    Knowledge is proud that he has learned so much; Wisdom is humble that he knows no more. - William Cowper

    http://nanohub.org/members/68728

  14. Overview of How People Learn Framework to Support Instructional Design

    19 Apr 2010 | Online Presentations | Contributor(s): Sean Brophy

    The National Academy of Sciences commissioned a report on How People Learn which is now being used by a wide range of educators and researchers. The report provides a review of critical research...

    http://nanohub.org/resources/8874

  15. nanoHUB: Impact On Education

    nanoHUB’s Impact on Education The contributions of nanoHUB.org to learning have been significant. Since its inception nanoHUB has been used in 379 graduate and undergraduate courses taught...

    http://nanohub.org/wiki/nanoHUB_ImactOnEducation

  16. Sivasayanth Vanniyasingam

    I’m a Material Science and Engineer From University of Moratuwa , Srilanka. And I’m fascinated about Method of mathematics, Optimization, data mining, internet and related technology, photography,...

    http://nanohub.org/members/42296

nanoHUB.org, a resource for nanoscience and nanotechnology, is supported by the National Science Foundation and other funding agencies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.