Asee peer logo
advanced search

Richard Gonzalez

Permalink

Paper listing

Permanent URL

https://peer.asee.org/authors/20569

Co-authors:

Request a correction

Cognitive Heuristic Use In Engineering Design Ideation

Conference Session
Engineering Design: Implementation and Evaluation
Collection
2010 Annual Conference & Exposition
Authors
Shanna Daly, University of Michigan; Seda Yilmaz, University of Michigan; Colleen Seifert, University of Michigan; Richard Gonzalez, University of Michigan

Design Heuristics Support Two Modes of Idea Generation: Initiating Ideas and Transitioning Among Concepts

Conference Session
Design Tools and Methodology I
Collection
2012 ASEE Annual Conference & Exposition
Authors
James Loren Christian, University of Michigan; Shanna R. Daly, University of Michigan; Seda McKIlligan, Iowa State University; Colleen M. Seifert, University of Michigan; Richard Gonzalez, University of Michigan

Expanding Evidence-based Pedagogy with Design Heuristics

Conference Session
NSF Grantees’ Poster Session
Collection
2015 ASEE Annual Conference & Exposition
Authors
Seda McKIlligan, Iowa State University; Shanna R. Daly, University of Michigan; Colleen M. Seifert, University of Michigan; Richard Gonzalez, University of Michigan; Colin M. Gray, Iowa State University

Idea Generation Through Empathy: Reimagining the ‘Cognitive Walkthrough’

Conference Session
Idea Generation and Creativity in Design
Collection
2015 ASEE Annual Conference & Exposition
Authors
Colin M. Gray, Iowa State University; Seda McKIlligan, Iowa State University; Shanna R. Daly, University of Michigan; Colleen M. Seifert, University of Michigan; Richard Gonzalez, University of Michigan

Teaching Design Ideation

Conference Session
Research on Engineering Design Education
Collection
2011 ASEE Annual Conference & Exposition
Authors
Shanna R. Daly, University of Michigan; James Loren Christian, University of Michigan; Seda Yilmaz, Iowa State University; Colleen M. Seifert, University of Michigan; Richard Gonzalez, University of Michigan