Tags: simulation-based learning

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  1. accompanying lessons?

    Q&A|Closed | Responses: 5

    These simulations look very interesting.  Are there some additional materials you could share that would help other instructors use these in the classroom?  Examples of student...

    https://nanohub.org/answers/question/1840

  2. Akash Paharia

    Currently, I am an undergraduate student in Electrical Department of Indian Institute of Technology ,Delhi. I am interested in knowing about new technologies in the field of semiconductors device...

    https://nanohub.org/members/38550

  3. Alejandra J. Magana

    Alejandra J. Magana is an Assistant Professor in the Department of Computer and Information Technology at Purdue University. Dr. Magana earned her Ph.D. in Engineering Education at Purdue...

    https://nanohub.org/members/13746

  4. Are Simulation Tools Developed and Used by Experts Appropriate Experimentation Tools for Educational Contexts?

    08 Apr 2010 | Contributor(s):: Alejandra J. Magana, Sean Brophy,

    Simulations and visualizations can lead to significant improvements in students'conceptual understanding. This increased understanding may be due to the formation of expert-like dynamic mental models. Laboratory simulations have been used in educational contexts forinquiry learning by allowing...

  5. Atomic Picture of Plastic Deformation in Metals via Online Molecular Dynamics Simulations

    01 Jun 2011 | | Contributor(s):: Alejandro Strachan

    The main goal of this learning module is to introduce students to the atomic-level processes responsible for plastic deformation in crystalline metals and help them develop a more intuitive understanding of how materials work at molecular scales. The module consists of: i) Two introductory...

  6. Atomic Picture of Plastic Deformation in Metals: Lab Assignment Handout

    19 Jan 2010 | | Contributor(s):: Alejandro Strachan

    In this lab students will perform online molecular dynamics (MD) simulations of metallic nanowires deformed uniaxially and analyze the results...

  7. Back to School Webinar Series on Teaching with nanoHUB

    06 Oct 2022 |

    These webinars are opportunities to learn from faculty who use nanoHUB in their classes and research.    The webinars will generally focus on using nanoHUB simulation apps and assignments or aspects of teaching or doing research using nanoHUB resources.

  8. Carbon Nanotube Worksheet

    Collections | 18 Jul 2017 | Posted by Tanya Faltens

    https://nanohub.org/groups/nanowork/collections/simulation-based-carbon-nanotube-lesson

  9. Carbon Nanotube Worksheet

    Collections | 02 Aug 2017 | Posted by Terrence Warren McGinnis

    This worksheet has students describe the geometries and conductivity type of several different carbon nanotubes of differing chirality.  CNT Bands can be used to simulate the structures...

    https://nanohub.org/members/175498/collections/my-collections

  10. Carbon Nanotube Worksheet

    Collections | 27 Apr 2018 | Posted by Tanya Faltens

    https://nanohub.org/groups/nanowork/collections/resources-for-nano-link-2018-annual-meeting

  11. Chemical and Physical Properties of Endohedrally Doped Nanodiamonds

    09 Nov 2022 | | Contributor(s):: Tomekia Simeon

    The semiempirical electronic structure Parametric Method 3 (PM3) at the nanoHUB.org website is introduced to the student in this assignment. In particular, this semiempirical method is applied to study dopant semiconductor materials intercalated in two types of nanodiamond (ND) complexes:...

  12. Cody Alexander Trevillian

    https://nanohub.org/members/288235

  13. Comparing the Operation of p-i-n vs. p-n Junction Diodes Using PN Junction Lab in ABACUS

    23 Aug 2017 | | Contributor(s):: André Schleife, Materials Science and Engineering at Illinois

    In this activity, students use the PN Junction Lab simulation tool in ABACUS on nanoHUB to simulate different p-i-n or p-n diode structures.  Plots of hole concentration and electric field as a function of position, along with the gand structure with and without applied bias, will be...

  14. Computer Modeling Module: Chemical Reaction Simulation using SIESTA

    23 Aug 2017 | | Contributor(s):: Lan Li

    This activity guides students through a module using the SIESTA DFT tool that is housed within the MIT Atomic Scale Modeling Toolkit on nanoHUB. Instructional videos, background reading, reminders and the assignment are included. Learning outcomes: Get familiar with SIESTA tool and activation...

  15. Cyber Infrastructure Days at Purdue University

    31 Jan 2011 |

    Purdue CI Days 2010 showcases technologies to enhance research, teaching and research funding. The program focus is on how just about any faculty member, research staffer, or graduate student can benefit from these technologies.

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

    26 Feb 2013 | | 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 following research question: What were the intended learning outcomes that guided the instructors'...

  17. Enhancing your Micro and Nano Technology Courses with Free nanoHUB Resources and Simulations

    12 May 2015 | | Contributor(s):: Tanya Faltens

    This presentation given at a workshop in the 2014 MNT (Micro Nano Technology) Conference in Albuquerque, New Mexico, provides an overview of nanoHUB resources that will be useful for MNT Educators.  The Education Page, nanoHUB-U, Group Functionalities, collections, Learning Communities,...

  18. Framework for Evaluating Simulations: Analysis of Student Developed Interactive Computer Tool

    25 Jun 2015 | | Contributor(s):: Kelsey Joy Rodgers, Heidi A Diefes-Dux, Yi Kong, Krishna Madhavan

    This is the presentation for a paper presented at the 2015 annual American Society of Engineering Education (ASEE) conference. The paper discusses a developed framework for evaluating and scaffolding student-developed simulations in an open-ended learning environment.  The full paper...

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

    21 Jul 2014 | | 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 concepts. This study is approaching learning with simulations from a different perspective. We are...

  20. Hands-On Data Science and Machine Learning in Undergraduate Education

    07 Oct 2020 | | Contributor(s):: Alejandro Strachan, Saaketh Desai, Juan Carlos Verduzco Gastelum, Michael N Sakano, Zachary D McClure, Joseph M. Cychosz, Jared Gray West

    This series of modules introduce key concepts in data science in the context of application in materials science and engineering.