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Mark Ratner Interview on Nanotechnology
23 Mar 2006 | Online Presentations | Contributor(s): Mark A. Ratner, Krishna Madhavan
Nanotechnology interview with Krishna Madhavan.
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Backward Design for Instruction
07 Apr 2010 | Notes | Contributor(s): Krishna P. C. Madhavan, Sean Brophy
Backward design is an instructional design process that focuses on what specific learning objectives need to be accomplished and how learning will be assessed appropriately before the instructional materials are designed. This design process is the complete opposite of what instructors typically do …
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Thinking about Learning Objectives
07 Apr 2010 | Notes | Contributor(s): Krishna P. C. Madhavan
The first and most significant step in the backward design process is the identification of clear learning objectives that will eventually be assessed. Using New Bloom's Taxonomy as the theoretical basis, we highlight how learning objectives can be written such that they focus on cognitive and …
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How People Learn 101: Theory and Practice
07 Apr 2010 | Notes | Contributor(s): Krishna P. C. Madhavan, Sean Brophy
One of the primary goals of the NCN Education and Assessment Group is to allow insights from engineering education research to diffuse into the engineering curricula. This resource is designed to provide faculty members designing a course using nanoHUB resources a quick introduction to the How …
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Normal Distribution
23 Aug 2011 | Tools | Contributor(s): Ogaga Daniel Odele, Francesca Polo, Hanjun Xian, Krishna P. C. Madhavan
Simulate the normal distribution curve with varying mean and standard deviation
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Function Discovery Tool
08 Jul 2011 | Tools | Contributor(s): Ogaga Daniel Odele, Hanjun Xian, Xue Yuan Wong, Francesca Polo, Krishna P. C. Madhavan
Using plots of data to identify and linearize mathematical functions - linear, power, exponential, logarithmic functions.
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NCN Simulation-based Learning Workshop - Participant Packet
11 Nov 2009 | Notes | Contributor(s): Krishna Madhavan, Sean Brophy, George B. Adams III, Alejandra J. Magana
This document contains all the materials that were distributed to participants of the NCN Simulation-based Learning Workshop that was held in Chicago, IL from November 5-6, 2009.
Materials prepared and distributed by the NCN Education and Assessment Team
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Convolution Tool
27 Jun 2012 | Tools | Contributor(s): Ogaga Daniel Odele, Hanjun Xian, Krishna P. C. Madhavan
Simulate the convolution of different functions
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Success Criteria for Establishing a Thriving HUBzero Based Site: A Model for Science 2.0
15 Sep 2011 | Online Presentations | Contributor(s): Lynn Zentner, Gerhard Klimeck, Krishna P. C. Madhavan, George B. Adams III
Science gateways utilizing HUBzero technology provide the means for rapid dissemination and use of research results by a global research and education community, extending resources that used to be available to an elite few to a broader and more diverse community. Users may range from educators and …
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Passive Filter Circuits
12 Jul 2012 | Tools | Contributor(s): Rhea Khanna, Ogaga Daniel Odele, Krishna P. C. Madhavan, Aung Kyi San
Simulation of first and second order Passive Filter circuits.
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Exploring the Impact of nanoHUB.org on Research and Education Users
15 Sep 2011 | Online Presentations | Contributor(s): Gerhard Klimeck, George B. Adams III, Krishna P. C. Madhavan, Nathan Travis Denny, Michael Zentner, Swaroop Shivarajapura, Lynn Zentner, Diane Beaudoin, Mehdi Salmani Jelodar
With over 170,000 users in the last 12 months and over 2,300 resources including nearly 200 simulation tools, nanoHUB.org has established itself as the world’s largest Nanotechnology User Facility. Critical attributes for the success of such science gateways are open access, ease of use, utterly …
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Embedding science and technology education into students' lifestyles and technology choices
06 Dec 2005 | Online Presentations | Contributor(s): Krishna Madhavan
Learning experiences of the future will be multi-sensory, engage technologies and significant
computational power continuously and invisibly, and will be completely engaging. The
emergence of highly cross-disciplinary fields like nanoscale science and technology,
bioinformatics, and …