Abstract

Intuition plays an essential role in decision-making and is independent of an analytical way of thinking that is considered a gut feeling. Individuals can shape their intuition, and each field of study develops a variety of skills and trains students for a way of thinking needed for that specific area. A focus on undergraduate engineering technology students and comparing them to undergraduate engineering students allows this study to examine the types of intuition used by these two groups. The Types of Intuition Scale (TIntS), an established, validated instrument, which categorizes intuition into inferential, affective, holistic abstract, and holistic big picture intuition, was used to assess and understand the intuition types used by both engineering technology and engineering undergraduate students. Additionally, ANOVA and t-tests are used to provide deeper analysis for comparison purposes. This study employs inferential statistics to compare engineering technology and engineering undergraduate students in their use of intuition. Anecdotal evidence shows that these students often utilize intuition to solve problems, suggesting that they use past knowledge to guide their intuition. This study's findings provide evidence that these students use intuition, and engineering technology and engineering students report using intuition in similar ways.

Comments

© 2021 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference.

Keywords

Intuition, Types of Intuition, Engineering Technology, Engineering

Date of this Version

7-2021

Published in:

Shi, M. C., Azevedo, T. M., & Lucietto, A. M. (2021, July). Assessing Intuition Used Among Undergraduate Engineering Technology and Engineering Students. In 2021 ASEE Virtual Annual Conference Content Access.

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