Her primary areas of investigation include Engineering design process, Variety, Management science, Fixation and Analogy. Her Engineering design process research is multidisciplinary, incorporating perspectives in Knowledge management, Conceptual design, Design methods and Artificial intelligence. Her Design methods study also includes
In most of her Artificial intelligence studies, her work intersects topics such as Human–computer interaction. As part of one scientific family, she deals mainly with the area of Variety, narrowing it down to issues related to the Novelty, and often Quality. Her Analogy research integrates issues from Representation and Process.
Julie S. Linsey mainly investigates Engineering design process, Human–computer interaction, Systems engineering, Management science and Mathematics education. Julie S. Linsey has researched Engineering design process in several fields, including Curriculum, Function, Artificial intelligence, Analogy and Novelty. Her research investigates the link between Novelty and topics such as Variety that cross with problems in Quality.
Her Human–computer interaction research is multidisciplinary, relying on both Design education and Multimedia. Her Systems engineering research focuses on Engineering management and how it relates to Knowledge management. As part of the same scientific family, Julie S. Linsey usually focuses on Mathematics education, concentrating on Creativity and intersecting with Engineering education.
Julie S. Linsey focuses on Mathematics education, Engineering design process, Human–computer interaction, Sketch and Intelligent tutoring system. Her Mathematics education research is multidisciplinary, incorporating elements of Grounded theory, Creativity, Toolbox and Graduate students. Her work in Grounded theory addresses subjects such as Variety, which are connected to disciplines such as Mechanical engineering.
The study incorporates disciplines such as Conceptual design, Self-efficacy, Simulation and Curriculum in addition to Engineering design process. Her research investigates the connection between Human–computer interaction and topics such as Spatial Visualization that intersect with issues in Engineering curricula. Her Function study integrates concerns from other disciplines, such as Machine learning and Artificial intelligence.
Julie S. Linsey mainly focuses on Engineering design process, Mathematics education, Creativity, Design education and Self-efficacy. Her research in the fields of Design by analogy overlaps with other disciplines such as Noise. Her Design education study combines topics in areas such as Grounded theory and Intelligent tutoring system.
The concepts of her Grounded theory study are interwoven with issues in Variety, Game based learning and Industrial design. Julie S. Linsey combines subjects such as Quality, User experience design, Software and Domain with her study of Intelligent tutoring system. Julie S. Linsey works mostly in the field of Self-efficacy, limiting it down to topics relating to Research question and, in certain cases, Curriculum.
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A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty
J. S. Linsey;I. Tseng;K. Fu;J. Cagan.
Journal of Mechanical Design (2010)
An Experimental Study of Group Idea Generation Techniques: Understanding the Roles of Idea Representation and Viewing Methods
J. S. Linsey;E. F. Clauss;T. Kurtoglu;J. T. Murphy.
Journal of Mechanical Design (2011)
Analogies and metaphors in creative design
J. Hey;J. Linsey;A. M. Agogino;K. L. Wood.
International Journal of Engineering Education (2008)
Modality and representation in analogy
J. s. Linsey;K. l. Wood;A. b. Markman.
Ai Edam Artificial Intelligence for Engineering Design, Analysis and Manufacturing (2008)
Design by Analogy: A Study of the WordTree Method for Problem Re-Representation
J. S. Linsey;A. B. Markman;K. L. Wood.
Journal of Mechanical Design (2012)
The Invention Studio: A University Maker Space and Culture.
Craig R. Forest;Roxanne A. Moore;Amit S. Jariwala;Barbara Burks Fasse.
Advances in engineering education (2014)
INCREASING INNOVATION: PRESENTATION AND EVALUATION OF THE WORDTREE DESIGN- BY-ANALOGY METHOD
J. S. Linsey;K. L. Wood;A. B. Markman.
2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 (2008)
Fundamental studies in Design-by-Analogy: A focus on domain-knowledge experts and applications to transactional design problems
Diana P. Moreno;Alberto A. Hernández;Maria C. Yang;Kevin N. Otto.
Design Studies (2014)
Design-by-analogy and representation in innovative engineering concept generation
Julie Stahmer Linsey.
“Collaborating To Success”: An Experimental Study of Group Idea Generation Techniques
J. S. Linsey;M. G. Green;J. T. Murphy;K. L. Wood.
DETC2005: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2005)
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