Investigating First-Year Engineering Students' Understandings of Computer Simulations and Interactivity
10 Mar 2015 | Papers | Contributor(s): Kelsey Joy Rodgers, Heidi A Diefes-Dux, Krishna Madhavan
This is a draft version of a paper presented at the 2014 European Society of Engineering Education (SEFI) Annual Conference.
Introduction to nanoHUB Project for ENGR 132
10 Feb 2015 | Online Presentations | Contributor(s): Krishna Madhavan
This presentation introduces ENGR 132 students to nanoHUB. It also lays out the basic requirements for the ENGR 132 project (Spring 2015). The presentation includes a basic explanation of what a mathematical model is and its connection to a simulation.
Problem Formulation & Problem Identification
29 Jul 2013 | Animations | Contributor(s): Heidi A Diefes-Dux, Kelsey Joy Rodgers, Paul Branham, Krishna Madhavan
This is the second of three modules on Model-Eliciting Activities. (The DAY 1 Training presentation refers to this as the MEA 2 video. This video should be watched during or before DAY 1 Training.)
Introduction to NanoRoughness MEA - Sandpaper Acitivity
29 Jul 2013 | Teaching Materials | Contributor(s): Heidi A Diefes-Dux, Kelsey Joy Rodgers, Paul Branham, Krishna Madhavan
This is the activity that we completed prior to the NanoRoughness MEA. This activity helps us think about how and why we define roughness on the macro scale. After this activity we introduce the NanoRoughness MEA, where we think about defining roughness on the nanoscale for the established...
Sample Assessment Rubric
17 Jun 2014 | Teaching Materials | Contributor(s): Heidi A Diefes-Dux, Krishna Madhavan, Kelsey Joy Rodgers
This is an assessment rubric that we used in Spring 2013 to assess students' projects. This particular rubric was used to assess submissions for Milestones 4,5, 6, 8, and 9.
NanoRoughness MEA - Grading Materials
These materials include the Instructor MEA Feedback and Assessment Package (I-MAP), the shortened grading rubrics, and modified rubrics (created based on conversations in training).
Nano Roughness MEA - Day 1 Training
29 Jul 2013 | Presentation Materials | Contributor(s): Heidi A Diefes-Dux, Kelsey Joy Rodgers, Paul Branham, Krishna Madhavan
This is the first part of Day 1 (out of 3) Training for the NanoRoughness MEA. This training introduces Model-Eliciting Activities (MEAs), the NanoRoughness MEA, and problem scoping.
NanoRoughness MEA - Training Materials
This consists of some training materials for the NanoRoughness MEA. This consists mostly of sample solutions and the expert analysis of the sample solutions. The five MEAs that we reviewed in training are attached here. Also attached is an expert review of sample individual question responses.
Framework for Evaluating Simulations: Analysis of Student Developed Interactive Computer Tool
25 Jun 2015 | Presentation Materials | 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...
NanoRoughness MEA - Day 2 Training
This is the first part of Day 2 (out of 3) Training for the NanoRoughness MEA. This training introduces the grading rubric for the NanoRoughness MEA (i.e. I-MAP) and how to give effective feedback.The materials from the "NanoRoughness MEA - Training Materials" and "NanoRoughness MEA - Grading...
NanoRoughness MEA - Day 3 Training
This is the first part of Day 3 (out of 3) Training for the NanoRoughness MEA. This training was mainly about discussion so there is very little content in this PowerPoint. There is an example of Purdue's MEA implementation sequence.
Embedding science and technology education into students' lifestyles and technology choices
5.0 out of 5 stars
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...