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This material is based on work supported by the National Science Foundation under ATE Grant #DUE 0603297

 

Innovo Engineering
for beginning Engineering students

At Innovo Engineering, students work as engineering interns.

Structural Collapse. Students work as engineering interns at Innovo Engineering on causes of structural collapse and challenges in responding. Introduction to Engineering course.

Search and Rescue Robotics.  Interns at Innovo Engineering design, build, test, and demonstrate the performance of a search and rescue robot.  This task was designed to cover six weeks of an Introduction to Engineering curriculum that covers the design cycle, design analysis, electrical engineering and computer control, trial runs and modifications.

The Instructor Guide supports faculty in the successful implementation of a scenario-based task. Additional support is provided by the Community of Practice in Scenario-Based Learning hosted at www.tappedin.org.   To join, please email Jane Ostrander.  Include your institution, contact information and subjects taught.

>> Instructor's Guide

Assessing Engineering Students

Through the Structural Collapse, Testing, and Search and Rescue Robotics tasks, students are expected to develop their professional skills of research and analysis, framing a problem and identifying design constraints and requirements, generating a product, collaboration, and presentation. These skills are assessed as students engage in two mini-tasks (Structural Collapse; Testing) and one main task (Search and Rescue Robotics). In the tasks, students are assessed as they develop skills of summarizing engineering principles relevant to a set of cases of structural collapse; collecting and analyzing data from an online earthquake simulation; framing an engineering problem and solution in writing and diagrams; and planning and executing a production schedule. Test items ask students to describe scientific principles at work in a robot, provide advice on team management to a fictional dysfunctional team, detect patterns in data, develop solutions to engineering problems with specific materials, determine team priorities when choosing an engineering solution, and critique a fictional presentation of an engineering solution.


>> visit the Innovo site


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